[Met_help] [rt.rap.ucar.edu #55898] History for Rscript for box plots
John Halley Gotway via RT
met_help at ucar.edu
Mon Apr 16 13:10:37 MDT 2012
----------------------------------------------------------------
Initial Request
----------------------------------------------------------------
I tried using plot_cnt.R as downloaded from the DTC MET site to plot the default plots using Point-Stat _cnt.txt files and the box plots I get are not the same. See attached.
Each _cnt.txt file contains 28 different variables at different levels. I have 9 forecast lead times and each contains a _cnt.txt file.
Can you diagnose why my box plots are looking like a single value of RMSE?
Is there a way to use the percentiles of the errors statistics to create box plots?
Thanks.
R/
John
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Complete Ticket History
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Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
From: John Halley Gotway
Time: Mon Apr 16 10:06:22 2012
John,
If you'd like me to take a look at this, I'll need you to send me the
data you're trying to plot (_cnt.txt files) - as well as the command
line you're executing to run R.
In general, the sample R-scripts we post on the MET website are meant
to serve as examples for users to copy and adapt for their own needs.
So we don't "support" them in the way we support the MET
code. That being said, since you're the first user I'm aware of
that's using this script, I'm happy to take a look to make sure the
script doesn't have any obvious problems.
Thanks,
John Halley Gotway
On 04/16/2012 09:55 AM, Raby, John W USA CIV via RT wrote:
>
> Mon Apr 16 09:55:16 2012: Request 55898 was acted upon.
> Transaction: Ticket created by john.w.raby2.civ at mail.mil
> Queue: met_help
> Subject: Rscript for box plots
> Owner: Nobody
> Requestors: john.w.raby2.civ at mail.mil
> Status: new
> Ticket<URL:
https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>
>
> I tried using plot_cnt.R as downloaded from the DTC MET site to plot
the default plots using Point-Stat _cnt.txt files and the box plots I
get are not the same. See attached.
>
> Each _cnt.txt file contains 28 different variables at different
levels. I have 9 forecast lead times and each contains a _cnt.txt
file.
>
> Can you diagnose why my box plots are looking like a single value of
RMSE?
>
> Is there a way to use the percentiles of the errors statistics to
create box plots?
>
> Thanks.
>
> R/
> John
>
------------------------------------------------
Subject: Rscript for box plots
From: Raby, John W USA CIV
Time: Mon Apr 16 10:17:56 2012
John -
Thanks for your offer to help.
The command line is: Rscript plot_cnt.R
~/MET_PointStat_30WRF/results_m1o1/20110626/*_cnt.txt
The files are attached.
R/
John
________________________________________
From: John Halley Gotway via RT [met_help at ucar.edu]
Sent: Monday, April 16, 2012 10:06 AM
To: Raby, John W CIV (US)
Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
John,
If you'd like me to take a look at this, I'll need you to send me the
data you're trying to plot (_cnt.txt files) - as well as the command
line you're executing to run R.
In general, the sample R-scripts we post on the MET website are meant
to serve as examples for users to copy and adapt for their own needs.
So we don't "support" them in the way we support the MET
code. That being said, since you're the first user I'm aware of
that's using this script, I'm happy to take a look to make sure the
script doesn't have any obvious problems.
Thanks,
John Halley Gotway
On 04/16/2012 09:55 AM, Raby, John W USA CIV via RT wrote:
>
> Mon Apr 16 09:55:16 2012: Request 55898 was acted upon.
> Transaction: Ticket created by john.w.raby2.civ at mail.mil
> Queue: met_help
> Subject: Rscript for box plots
> Owner: Nobody
> Requestors: john.w.raby2.civ at mail.mil
> Status: new
> Ticket<URL:
https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>
>
> I tried using plot_cnt.R as downloaded from the DTC MET site to plot
the default plots using Point-Stat _cnt.txt files and the box plots I
get are not the same. See attached.
>
> Each _cnt.txt file contains 28 different variables at different
levels. I have 9 forecast lead times and each contains a _cnt.txt
file.
>
> Can you diagnose why my box plots are looking like a single value of
RMSE?
>
> Is there a way to use the percentiles of the errors statistics to
create box plots?
>
> Thanks.
>
> R/
> John
>
------------------------------------------------
Subject: Rscript for box plots
From: Raby, John W USA CIV
Time: Mon Apr 16 10:17:56 2012
VERSION MODEL FCST_LEAD FCST_VALID_BEG FCST_VALID_END OBS_LEAD
OBS_VALID_BEG OBS_VALID_END FCST_VAR FCST_LEV OBS_VAR OBS_LEV
OBTYPE VX_MASK INTERP_MTHD INTERP_PNTS FCST_THRESH OBS_THRESH
COV_THRESH ALPHA LINE_TYPE TOTAL FBAR FBAR_NCL FBAR_NCU
FBAR_BCL FBAR_BCU FSTDEV FSTDEV_NCL FSTDEV_NCU FSTDEV_BCL
FSTDEV_BCU OBAR OBAR_NCL OBAR_NCU OBAR_BCL OBAR_BCU
OSTDEV OSTDEV_NCL OSTDEV_NCU OSTDEV_BCL OSTDEV_BCU PR_CORR
PR_CORR_NCL PR_CORR_NCU PR_CORR_BCL PR_CORR_BCU SP_CORR KT_CORR
RANKS FRANK_TIES ORANK_TIES ME ME_NCL ME_NCU ME_BCL
ME_BCU ESTDEV ESTDEV_NCL ESTDEV_NCU ESTDEV_BCL ESTDEV_BCU MBIAS
MBIAS_BCL MBIAS_BCU MAE MAE_BCL MAE_BCU MSE MSE_BCL
MSE_BCU BCMSE BCMSE_BCL BCMSE_BCU RMSE RMSE_BCL RMSE_BCU
E10 E10_BCL E10_BCU E25 E25_BCL E25_BCU E50
E50_BCL E50_BCU E75 E75_BCL E75_BCU E90 E90_BCL E90_BCU
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 TMP P775-625 TMP P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 290.68159 270.69177 310.67141 NA
NA 2.22489 0.99263 70.99651 NA NA
280.65555 234.84256 326.46854 NA NA 5.09903
2.27493 162.71093 NA NA -1.00000 NA NA
NA NA -1.00000 -1.00000 2 0 0
10.02605 -55.77676 75.82885 NA NA 7.32392 3.26756
233.70745 NA NA 1.03572 NA NA 10.02605
NA NA 127.34149 NA NA 26.81990 NA NA
11.28457 NA NA 5.88301 NA NA 7.43665 NA
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NA NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 TMP P875-775 TMP P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 61 293.79019 293.16272 294.41766 NA
NA 2.50040 2.12207 3.04437 NA NA
291.80874 290.98881 292.62868 NA NA 3.26736
2.77299 3.97818 NA NA 0.55425 0.35149
0.70735 NA NA 0.45632 0.29392 61 2
25 1.98145 1.27738 2.68551 NA NA 2.80562
2.38111 3.41599 NA NA 1.00679 NA NA
2.66774 NA NA 11.66860 NA NA 7.74246 NA
NA 3.41593 NA NA -1.08067 NA NA
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NA 5.32205 NA NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 TMP P910-875 TMP P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 289.27789 NA NA NA
NA NA NA NA NA NA
286.95001 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 2.32787
NA NA NA NA NA NA NA NA
NA 1.00811 NA NA 2.32787 NA NA
5.41900 NA NA 0.00000 NA NA 2.32787
NA NA 2.32787 NA NA 2.32787 NA NA
2.32787 NA NA 2.32787 NA NA 2.32787 NA
NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 HGT P775-625 HGT P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 2303.80388 2254.08503 2353.52273 NA
NA 5.53376 2.46888 176.58312 NA NA
2305.00000 2216.05657 2393.94343 NA NA 9.89949
4.41665 315.89446 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
-1.19612 -40.42070 38.02846 NA NA 4.36574 1.94777
139.31134 NA NA 0.99948 NA NA 3.08704
NA NA 10.96053 NA NA 9.52983 NA NA
3.31067 NA NA -3.66575 NA NA -2.73964 NA
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NA NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 HGT P875-775 HGT P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 64 1520.28747 1466.43927 1574.13567 NA
NA 219.79262 187.21558 266.21897 NA NA
1521.27031 1468.36055 1574.18008 NA NA 215.96220
183.95289 261.57945 NA NA 0.99926 0.99878
0.99955 NA NA 0.99393 0.94685 64 2
4 -0.98284 -3.23759 1.27190 NA NA 9.20320
7.83913 11.14717 NA NA 0.99935 NA NA
7.23530 NA NA 84.34147 NA NA 83.37549 NA
NA 9.18376 NA NA -11.45869 NA NA
-7.63881 NA NA -0.76377 NA NA 3.98302 NA
NA 10.12998 NA NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 HGT P910-875 HGT P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 1190.54751 NA NA NA
NA NA NA NA NA NA
1565.81995 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -375.27244
NA NA NA NA NA NA NA NA
NA 0.76033 NA NA 375.27244 NA NA
140829.40265 NA NA 0.00000 NA NA
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NA -375.27244 NA NA -375.27244 NA NA
-375.27244 NA NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 UGRD P775-625 UGRD P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 2.59547 -49.98237 55.17332 NA
NA 5.85197 2.61085 186.73724 NA NA
-0.69225 -18.38241 16.99792 NA NA 1.96893
0.87844 62.82897 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
3.28772 -31.59997 38.17541 NA NA 3.88304 1.73241
123.90827 NA NA -3.74935 NA NA 3.28772
NA NA 18.34808 NA NA 7.53898 NA NA
4.28347 NA NA 1.09114 NA NA 1.91486 NA
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NA NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 VGRD P775-625 VGRD P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 1.62426 -8.94857 12.19708 NA
NA 1.17677 0.52501 37.55080 NA NA 0.15601
-23.27416 23.58617 NA NA 2.60780 1.16347
83.21536 NA NA 1.00000 NA NA NA
NA 1.00000 1.00000 2 0 0 1.46825
-11.38909 14.32559 NA NA 1.43104 0.63846 45.66456 NA
NA 10.41151 NA NA 1.46825 NA NA
3.17969 NA NA 1.02393 NA NA 1.78317
NA NA 0.65874 NA NA 0.96230 NA NA
1.46825 NA NA 1.97420 NA NA 2.27777 NA
NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 UGRD P875-775 UGRD P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 60 -0.14892 -0.59401 0.29617 NA
NA 1.75905 1.49100 2.14566 NA NA 0.25562
-0.10757 0.61881 NA NA 1.43536 1.21663
1.75082 NA NA -0.04003 -0.29100 0.21609 NA
NA -0.07544 -0.04968 60 2 20 -0.40454
-0.99016 0.18108 NA NA 2.31444 1.96176 2.82312 NA
NA -0.58260 NA NA 1.79564 NA NA
5.43101 NA NA 5.26735 NA NA 2.33045
NA NA -3.15487 NA NA -1.78817 NA NA
-0.50022 NA NA 0.95798 NA NA 2.10214 NA
NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 VGRD P875-775 VGRD P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 60 -0.49588 -1.12687 0.13511 NA
NA 2.49373 2.11373 3.04181 NA NA 0.15768
-0.42198 0.73734 NA NA 2.29086 1.94178
2.79436 NA NA 0.57624 0.37755 0.72420 NA
NA 0.17227 0.11947 60 2 17 -0.65356
-1.21269 -0.09443 NA NA 2.20973 1.87301 2.69540 NA
NA -3.14489 NA NA 1.86891 NA NA
5.22867 NA NA 4.80153 NA NA 2.28663
NA NA -2.66425 NA NA -1.67838 NA NA
-1.25731 NA NA 0.37998 NA NA 2.13684 NA
NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 UGRD P910-875 UGRD P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 4.70386 NA NA NA
NA NA NA NA NA NA 2.10585
NA NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA 1 0 0 2.59801 NA NA
NA NA NA NA NA NA NA
2.23371 NA NA 2.59801 NA NA 6.74965 NA
NA 0.00000 NA NA 2.59801 NA NA
2.59801 NA NA 2.59801 NA NA 2.59801 NA
NA 2.59801 NA NA 2.59801 NA NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 VGRD P910-875 VGRD P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 -0.05280 NA NA NA
NA NA NA NA NA NA 2.91983
NA NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA 1 0 0 -2.97263 NA NA
NA NA NA NA NA NA NA
-0.01808 NA NA 2.97263 NA NA 8.83653 NA
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NA -2.97263 NA NA -2.97263 NA NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 DPT P775-625 DPT P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 271.73683 192.12434 351.34933 NA
NA 8.86095 3.95331 282.75439 NA NA
269.81335 248.31192 291.31479 NA NA 2.39313
1.06769 76.36522 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
1.92348 -56.18758 60.03454 NA NA 6.46782 2.88561
206.38918 NA NA 1.00713 NA NA 4.57344
NA NA 24.61611 NA NA 20.91635 NA NA
4.96146 NA NA -1.73527 NA NA -0.36324 NA
NA 1.92348 NA NA 4.21020 NA NA 5.58223
NA NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 DPT P875-775 DPT P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 60 276.13042 274.98327 277.27758 NA
NA 4.53365 3.84281 5.53008 NA NA
277.20343 275.60711 278.79975 NA NA 6.30880
5.34745 7.69537 NA NA 0.88015 0.80647
0.92692 NA NA 0.70952 0.52575 60 2
3 -1.07301 -1.87343 -0.27258 NA NA 3.16336
2.68132 3.85862 NA NA 0.99613 NA NA
2.67022 NA NA 10.99142 NA NA 9.84008 NA
NA 3.31533 NA NA -5.12440 NA NA
-3.25622 NA NA -1.25432 NA NA 1.25749 NA
NA 2.74269 NA NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 DPT P910-875 DPT P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 277.10905 NA NA NA
NA NA NA NA NA NA
278.41681 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -1.30776
NA NA NA NA NA NA NA NA
NA 0.99530 NA NA 1.30776 NA NA
1.71022 NA NA 0.00000 NA NA 1.30776
NA NA -1.30776 NA NA -1.30776 NA NA
-1.30776 NA NA -1.30776 NA NA -1.30776 NA
NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 WIND P775-625 WIND P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 4.47412 -29.82879 38.77704 NA
NA 3.81795 1.70337 121.83137 NA NA 2.40060
-1.17796 5.97916 NA NA 0.39830 0.17770
12.70974 NA NA -1.00000 NA NA NA
NA -1.00000 -1.00000 2 0 0 2.07352
-35.80795 39.95500 NA NA 4.21625 1.88108 134.54111 NA
NA 1.86375 NA NA 2.98134 NA NA
13.18786 NA NA 8.88837 NA NA 3.63151
NA NA -0.31155 NA NA 0.58285 NA NA
2.07352 NA NA 3.56419 NA NA 4.45859 NA
NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 WIND P875-775 WIND P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 61 2.77997 2.31645 3.24348 NA
NA 1.84705 1.56758 2.24889 NA NA 1.76947
1.26174 2.27720 NA NA 2.02323 1.71711
2.46340 NA NA 0.46666 0.24345 0.64293 NA
NA 0.29171 0.21522 61 2 33 1.01050
0.50752 1.51347 NA NA 2.00430 1.70104 2.44035 NA
NA 1.57107 NA NA 1.70018 NA NA
4.97248 NA NA 3.95138 NA NA 2.22991
NA NA -0.82799 NA NA -0.16048 NA NA
1.22545 NA NA 1.88751 NA NA 2.65927 NA
NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 WIND P910-875 WIND P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 4.70533 NA NA NA
NA NA NA NA NA NA 3.60000
NA NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA 1 0 0 1.10533 NA NA
NA NA NA NA NA NA NA
1.30704 NA NA 1.10533 NA NA 1.22176 NA
NA 0.00000 NA NA 1.10533 NA NA
1.10533 NA NA 1.10533 NA NA 1.10533 NA
NA 1.10533 NA NA 1.10533 NA NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 RH P775-625 RH P775-625
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46.57257 -24.23361 117.37874 NA NA 7.88080
3.51601 251.47758 NA NA -1.00000 NA NA
NA NA -1.00000 -1.00000 2 0 0
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979.35046 NA NA 0.68043 NA NA 21.70172
NA NA 692.46788 NA NA 470.96466 NA NA
26.31478 NA NA -32.24436 NA NA -25.73384 NA
NA -14.88298 NA NA -4.03212 NA NA 2.47839
NA NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 RH P875-775 RH P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 61 32.92077 30.55905 35.28250 NA
NA 9.41123 7.98726 11.45868 NA NA
42.32436 38.13328 46.51544 NA NA 16.70101
14.17406 20.33439 NA NA 0.72103 0.57331
0.82336 NA NA 0.67402 0.50590 61 2
12 -9.40359 -12.38168 -6.42550 NA NA 11.86739
10.07179 14.44919 NA NA 0.77782 NA NA
11.90952 NA NA 226.95368 NA NA 138.52616 NA
NA 15.06498 NA NA -25.34764 NA NA
-19.45530 NA NA -7.51095 NA NA 0.50208 NA
NA 5.60428 NA NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 RH P910-875 RH P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 44.39025 NA NA NA
NA NA NA NA NA NA
56.20000 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -11.80975
NA NA NA NA NA NA NA NA
NA 0.78986 NA NA 11.80975 NA NA
139.47018 NA NA 0.00000 NA NA 11.80975
NA NA -11.80975 NA NA -11.80975 NA NA
-11.80975 NA NA -11.80975 NA NA -11.80975 NA
NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 TMP Z2 TMP Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 442 288.51182 288.24931 288.77434 NA
NA 2.81588 2.64168 3.01487 NA NA
288.72255 288.28422 289.16087 NA NA 4.70173
4.41086 5.03399 NA NA 0.72655 0.67931
0.76779 NA NA 0.71984 0.52317 442 32
190 -0.21073 -0.51706 0.09561 NA NA 3.28590
3.08262 3.51811 NA NA 0.99927 NA NA
2.68008 NA NA 10.81715 NA NA 10.77274 NA
NA 3.28894 NA NA -4.23660 NA NA
-2.51965 NA NA -0.36799 NA NA 2.12874 NA
NA 3.96569 NA NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 UGRD Z10 UGRD Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 333 -0.51712 -0.77446 -0.25978 NA
NA 2.39600 2.22679 2.59326 NA NA 0.50979
0.31925 0.70033 NA NA 1.77405 1.64877
1.92011 NA NA 0.22428 0.11969 0.32395 NA
NA 0.20573 0.13889 333 10 59 -1.02691
-1.31070 -0.74312 NA NA 2.64224 2.45564 2.85978 NA
NA -1.01438 NA NA 2.39631 NA NA
8.01502 NA NA 6.96047 NA NA 2.83108
NA NA -3.93397 NA NA -2.83575 NA NA
-1.56020 NA NA 0.97471 NA NA 2.45868 NA
NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 VGRD Z10 VGRD Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 333 0.41536 0.18685 0.64387 NA
NA 2.12753 1.97728 2.30269 NA NA
-0.10145 -0.35134 0.14844 NA NA 2.32661
2.16230 2.51816 NA NA 0.45776 0.36841
0.53873 NA NA 0.37556 0.26681 333 8
53 0.51681 0.26705 0.76658 NA NA 2.32545
2.16123 2.51691 NA NA -4.09423 NA NA
1.76569 NA NA 5.65859 NA NA 5.39149 NA
NA 2.37878 NA NA -2.12561 NA NA
-0.88312 NA NA 0.37591 NA NA 1.72361 NA
NA 3.45703 NA NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 DPT Z2 DPT Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 345 274.88157 274.36021 275.40293 NA
NA 4.94082 4.59759 5.33986 NA NA
274.83476 274.14826 275.52127 NA NA 6.50585
6.05391 7.03129 NA NA 0.87107 0.84301
0.89439 NA NA 0.80746 0.62148 345 28
26 0.04681 -0.29897 0.39259 NA NA 3.27693
3.04929 3.54159 NA NA 1.00017 NA NA
2.59840 NA NA 10.70932 NA NA 10.70713 NA
NA 3.27251 NA NA -4.22905 NA NA
-2.20286 NA NA 0.58034 NA NA 2.28552 NA
NA 4.08750 NA NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 WIND Z10 WIND Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 338 3.07731 2.95727 3.19735 NA
NA 1.12596 1.04699 1.21791 NA NA 2.20672
1.99846 2.41498 NA NA 1.95354 1.81653
2.11307 NA NA 0.23428 0.13088 0.33265 NA
NA 0.15112 0.09935 338 9 140 0.87059
0.65596 1.08523 NA NA 2.01331 1.87211 2.17773 NA
NA 1.39452 NA NA 1.80328 NA NA
4.79935 NA NA 4.04142 NA NA 2.19074
NA NA -1.70521 NA NA -0.27774 NA NA
1.12744 NA NA 2.36063 NA NA 2.85785 NA
NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 RH Z2 RH Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 346 40.33078 39.02736 41.63420 NA
NA 12.37014 11.51198 13.36764 NA NA
40.63298 38.81237 42.45360 NA NA 17.27859
16.07991 18.67189 NA NA 0.69000 0.63043
0.74149 NA NA 0.65159 0.48193 346 27
147 -0.30220 -1.62083 1.01643 NA NA 12.51448
11.64630 13.52362 NA NA 0.99256 NA NA
9.63231 NA NA 156.25087 NA NA 156.15955 NA
NA 12.50003 NA NA -17.24040 NA NA
-7.44208 NA NA 2.40881 NA NA 8.16527 NA
NA 12.83181 NA NA
V3.0 WRF 000000 20110626_060000 20110626_060000 000000
20110626_054000 20110626_062000 PRMSL Z0 PRMSL Z0
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 67 100619.38583 100561.25932 100677.51233 NA
NA 242.75240 207.47552 292.61262 NA NA
101134.11730 100977.82796 101290.40665 NA NA 652.70761
557.85586 786.77072 NA NA 0.52454 0.32532
0.67917 NA NA 0.59040 0.42942 67 4
11 -514.73148 -649.91504 -379.54791 NA NA 564.56403
482.52134 680.52286 NA NA 0.99491 NA NA
515.90123 NA NA 578923.83432 NA NA 313975.34046 NA
NA 760.87045 NA NA -686.13666 NA NA
-627.32290 NA NA -500.46267 NA NA -347.35758 NA
NA -37.94842 NA NA
------------------------------------------------
Subject: Rscript for box plots
From: Raby, John W USA CIV
Time: Mon Apr 16 10:17:56 2012
VERSION MODEL FCST_LEAD FCST_VALID_BEG FCST_VALID_END OBS_LEAD
OBS_VALID_BEG OBS_VALID_END FCST_VAR FCST_LEV OBS_VAR OBS_LEV
OBTYPE VX_MASK INTERP_MTHD INTERP_PNTS FCST_THRESH OBS_THRESH
COV_THRESH ALPHA LINE_TYPE TOTAL FBAR FBAR_NCL FBAR_NCU
FBAR_BCL FBAR_BCU FSTDEV FSTDEV_NCL FSTDEV_NCU FSTDEV_BCL
FSTDEV_BCU OBAR OBAR_NCL OBAR_NCU OBAR_BCL OBAR_BCU
OSTDEV OSTDEV_NCL OSTDEV_NCU OSTDEV_BCL OSTDEV_BCU PR_CORR
PR_CORR_NCL PR_CORR_NCU PR_CORR_BCL PR_CORR_BCU SP_CORR KT_CORR
RANKS FRANK_TIES ORANK_TIES ME ME_NCL ME_NCU ME_BCL
ME_BCU ESTDEV ESTDEV_NCL ESTDEV_NCU ESTDEV_BCL ESTDEV_BCU MBIAS
MBIAS_BCL MBIAS_BCU MAE MAE_BCL MAE_BCU MSE MSE_BCL
MSE_BCU BCMSE BCMSE_BCL BCMSE_BCU RMSE RMSE_BCL RMSE_BCU
E10 E10_BCL E10_BCU E25 E25_BCL E25_BCU E50
E50_BCL E50_BCU E75 E75_BCL E75_BCU E90 E90_BCL E90_BCU
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 TMP P775-625 TMP P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 290.51442 277.32713 303.70171 NA
NA 1.46776 0.65484 46.83642 NA NA
278.70000 222.15742 335.24257 NA NA 6.29325
2.80773 200.81848 NA NA -1.00000 NA NA
NA NA -1.00000 -1.00000 2 0 0
11.81442 -57.91544 81.54429 NA NA 7.76101 3.46257
247.65491 NA NA 1.04239 NA NA
11.81442 NA NA 169.69721 NA NA 30.11660 NA
NA 13.02679 NA NA 7.42414 NA NA
9.07049 NA NA 11.81442 NA NA 14.55835 NA
NA 16.20471 NA NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 TMP P875-775 TMP P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 59 292.56839 291.95080 293.18598 NA
NA 2.42036 2.04887 2.95787 NA NA
289.52232 288.57800 290.46663 NA NA 3.70078
3.13278 4.52265 NA NA 0.28249 0.02847
0.50224 NA NA 0.16299 0.09400 59 2
22 3.04608 2.07466 4.01749 NA NA 3.80700
3.22269 4.65246 NA NA 1.01052 NA NA
3.75744 NA NA 23.52617 NA NA 14.24759 NA
NA 4.85038 NA NA -1.63545 NA NA
0.16554 NA NA 2.56771 NA NA 5.68457 NA
NA 7.81803 NA NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 TMP P910-875 TMP P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 289.61687 NA NA NA
NA NA NA NA NA NA
285.54999 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 4.06689
NA NA NA NA NA NA NA NA
NA 1.01424 NA NA 4.06689 NA NA
16.53956 NA NA 0.00000 NA NA 4.06689
NA NA 4.06689 NA NA 4.06689 NA NA
4.06689 NA NA 4.06689 NA NA 4.06689 NA
NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 HGT P775-625 HGT P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 2296.04854 2202.27783 2389.81924 NA
NA 10.43678 4.65636 333.03916 NA NA
2305.00000 2216.05657 2393.94343 NA NA 9.89949
4.41665 315.89446 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
-8.95146 -13.77873 -4.12419 NA NA 0.53728 0.23971
17.14470 NA NA 0.99612 NA NA 8.95146
NA NA 80.27302 NA NA 0.14433 NA NA
8.95952 NA NA -9.25539 NA NA -9.14142 NA
NA -8.95146 NA NA -8.76151 NA NA -8.64753
NA NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 HGT P875-775 HGT P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 62 1527.09128 1473.04042 1581.14214 NA
NA 217.14526 184.51842 263.91538 NA NA
1521.31613 1467.14904 1575.48322 NA NA 217.61220
184.91520 264.48290 NA NA 0.99870 0.99784
0.99922 NA NA 0.99251 0.94093 62 2
5 5.77515 3.01897 8.53134 NA NA 11.07276
9.40904 13.45768 NA NA 1.00380 NA NA
9.85468 NA NA 153.98085 NA NA 120.62846 NA
NA 12.40890 NA NA -7.22502 NA NA
-1.92332 NA NA 4.86458 NA NA 13.07474 NA
NA 18.76290 NA NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 HGT P910-875 HGT P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 1189.65697 NA NA NA
NA NA NA NA NA NA
1565.81995 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -376.16297
NA NA NA NA NA NA NA NA
NA 0.75977 NA NA 376.16297 NA NA
141498.58111 NA NA 0.00000 NA NA
376.16297 NA NA -376.16297 NA NA -376.16297 NA
NA -376.16297 NA NA -376.16297 NA NA
-376.16297 NA NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 UGRD P775-625 UGRD P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 6.02380 -8.52153 20.56913 NA
NA 1.61891 0.72228 51.65968 NA NA 0.39024
-20.06371 20.84419 NA NA 2.27655 1.01568
72.64494 NA NA 1.00000 NA NA NA
NA 1.00000 1.00000 2 0 0 5.63356
-0.27506 11.54218 NA NA 0.65764 0.29340 20.98526 NA
NA 15.43617 NA NA 5.63356 NA NA
31.95321 NA NA 0.21624 NA NA 5.65272
NA NA 5.26154 NA NA 5.40105 NA NA
5.63356 NA NA 5.86607 NA NA 6.00557 NA
NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 VGRD P775-625 VGRD P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 3.37043 -21.84513 28.58599 NA
NA 2.80652 1.25213 89.55643 NA NA
-0.30389 -13.05950 12.45172 NA NA 1.41971
0.63340 45.30326 NA NA -1.00000 NA NA
NA NA -1.00000 -1.00000 2 0 0
3.67432 -34.29686 41.64549 NA NA 4.22623 1.88553
134.85969 NA NA -11.09100 NA NA 3.67432
NA NA 22.43111 NA NA 8.93051 NA NA
4.73615 NA NA 1.28360 NA NA 2.18012 NA
NA 3.67432 NA NA 5.16851 NA NA 6.06503
NA NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 UGRD P875-775 UGRD P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 58 0.29469 -0.50598 1.09536 NA
NA 3.11114 2.63013 3.80942 NA NA 0.04409
-0.40606 0.49424 NA NA 1.74913 1.47870
2.14172 NA NA 0.11751 -0.14519 0.36474 NA
NA 0.20830 0.14925 58 2 25 0.25061
-0.62060 1.12181 NA NA 3.38522 2.86184 4.14502 NA
NA 6.68444 NA NA 2.71105 NA NA
11.32495 NA NA 11.26214 NA NA 3.36526
NA NA -3.65890 NA NA -2.53707 NA NA
-0.10360 NA NA 2.47824 NA NA 4.29533 NA
NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 VGRD P875-775 VGRD P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 58 -2.00049 -3.84453 -0.15646 NA
NA 7.16532 6.05750 8.77354 NA NA 0.15954
-0.38651 0.70558 NA NA 2.12176 1.79372
2.59798 NA NA 0.16747 -0.09493 0.40812 NA
NA 0.06248 0.04324 58 2 26 -2.16003
-3.99343 -0.32663 NA NA 7.12400 6.02257 8.72295 NA
NA -12.53950 NA NA 6.02734 NA NA
54.54213 NA NA 49.87640 NA NA 7.38526
NA NA -11.49613 NA NA -7.95181 NA NA
-1.24903 NA NA 3.40384 NA NA 6.01998 NA
NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 UGRD P910-875 UGRD P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 6.31824 NA NA NA
NA NA NA NA NA NA 2.69409
NA NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA 1 0 0 3.62415 NA NA
NA NA NA NA NA NA NA
2.34522 NA NA 3.62415 NA NA 13.13448
NA NA 0.00000 NA NA 3.62415 NA NA
3.62415 NA NA 3.62415 NA NA 3.62415 NA
NA 3.62415 NA NA 3.62415 NA NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 VGRD P910-875 VGRD P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 2.20518 NA NA NA
NA NA NA NA NA NA 3.22209
NA NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA 1 0 0 -1.01692 NA NA
NA NA NA NA NA NA NA
0.68439 NA NA 1.01692 NA NA 1.03412
NA NA 0.00000 NA NA 1.01692 NA NA
-1.01692 NA NA -1.01692 NA NA -1.01692 NA
NA -1.01692 NA NA -1.01692 NA NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 DPT P775-625 DPT P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 270.82117 198.09878 343.54356 NA
NA 8.09408 3.61117 258.28326 NA NA
269.52563 229.89746 309.15381 NA NA 4.41066
1.96781 140.74474 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
1.29554 -31.79868 34.38975 NA NA 3.68342 1.64335
117.53852 NA NA 1.00481 NA NA 2.60457
NA NA 8.46221 NA NA 6.78379 NA NA
2.90899 NA NA -0.78812 NA NA -0.00675 NA
NA 1.29554 NA NA 2.59782 NA NA 3.37919
NA NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 DPT P875-775 DPT P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 60 276.22842 274.88932 277.56753 NA
NA 5.29229 4.48584 6.45545 NA NA
277.23391 275.69014 278.77769 NA NA 6.10116
5.17146 7.44210 NA NA 0.81102 0.70158
0.88309 NA NA 0.61196 0.43904 60 2
3 -1.00549 -1.91281 -0.09817 NA NA 3.58581
3.03940 4.37392 NA NA 0.99637 NA NA
2.91865 NA NA 13.65474 NA NA 12.64374 NA
NA 3.69523 NA NA -5.04336 NA NA
-3.09458 NA NA -0.81344 NA NA 1.77256 NA
NA 3.17100 NA NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 DPT P910-875 DPT P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 278.48751 NA NA NA
NA NA NA NA NA NA
276.86804 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 1.61947
NA NA NA NA NA NA NA NA
NA 1.00585 NA NA 1.61947 NA NA
2.62268 NA NA 0.00000 NA NA 1.61947
NA NA 1.61947 NA NA 1.61947 NA NA
1.61947 NA NA 1.61947 NA NA 1.61947 NA
NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 WIND P775-625 WIND P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 7.35967 6.96163 7.75770 NA
NA 0.04430 0.01977 1.41367 NA NA 1.95356
-0.14806 4.05518 NA NA 0.23391 0.10436
7.46418 NA NA -1.00000 NA NA NA
NA -1.00000 -1.00000 2 0 0 5.40611
2.90645 7.90576 NA NA 0.27821 0.12412 8.87786 NA
NA 3.76731 NA NA 5.40611 NA NA
29.26470 NA NA 0.03870 NA NA 5.40969
NA NA 5.24873 NA NA 5.30774 NA NA
5.40611 NA NA 5.50447 NA NA 5.56349 NA
NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 WIND P875-775 WIND P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 59 7.09728 6.10549 8.08907 NA
NA 3.88685 3.29029 4.75004 NA NA 1.70954
1.16913 2.24995 NA NA 2.11789 1.79283
2.58823 NA NA 0.09378 -0.16630 0.34166 NA
NA 0.06637 0.04477 59 2 37 5.38774
4.30368 6.47179 NA NA 4.24842 3.59637 5.19191 NA
NA 4.15157 NA NA 5.64278 NA NA
46.77087 NA NA 17.74318 NA NA 6.83892
NA NA -0.02373 NA NA 2.38084 NA NA
4.85189 NA NA 8.65973 NA NA 11.10182 NA
NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 WIND P910-875 WIND P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 6.69904 NA NA NA
NA NA NA NA NA NA 4.20000
NA NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA 1 0 0 2.49904 NA NA
NA NA NA NA NA NA NA
1.59501 NA NA 2.49904 NA NA 6.24519
NA NA 0.00000 NA NA 2.49904 NA NA
2.49904 NA NA 2.49904 NA NA 2.49904 NA
NA 2.49904 NA NA 2.49904 NA NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 RH P775-625 RH P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 28.98268 -138.58246 196.54781 NA
NA 18.65017 8.32076 595.12991 NA NA
51.95226 1.73407 102.17045 NA NA 5.58934
2.49368 178.35659 NA NA -1.00000 NA NA
NA NA -1.00000 -1.00000 2 0 0
-22.96958 -240.75290 194.81374 NA NA 24.23951 10.81444
773.48651 NA NA 0.55787 NA NA
22.96958 NA NA 821.37845 NA NA 293.77683 NA
NA 28.65970 NA NA -36.68152 NA NA
-31.53954 NA NA -22.96958 NA NA -14.39962 NA
NA -9.25764 NA NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 RH P875-775 RH P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 61 37.64383 33.80471 41.48296 NA
NA 15.29851 12.98376 18.62676 NA NA
48.69328 44.03186 53.35469 NA NA 18.57524
15.76470 22.61636 NA NA 0.40417 0.16961
0.59539 NA NA 0.25921 0.13827 61 2
11 -11.04945 -15.74006 -6.35883 NA NA 18.69160
15.86345 22.75803 NA NA 0.77308 NA NA
16.69971 NA NA 465.73867 NA NA 343.64839 NA
NA 21.58098 NA NA -36.71037 NA NA
-25.26734 NA NA -7.23579 NA NA 4.68013 NA
NA 10.63495 NA NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 RH P910-875 RH P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 47.86643 NA NA NA
NA NA NA NA NA NA
55.30000 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -7.43357
NA NA NA NA NA NA NA NA
NA 0.86558 NA NA 7.43357 NA NA
55.25794 NA NA 0.00000 NA NA 7.43357
NA NA -7.43357 NA NA -7.43357 NA NA
-7.43357 NA NA -7.43357 NA NA -7.43357 NA
NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 TMP Z2 TMP Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 428 286.48574 286.14620 286.82527 NA
NA 3.58392 3.35883 3.84160 NA NA
286.33030 285.91175 286.74884 NA NA 4.41786
4.14039 4.73550 NA NA 0.81077 0.77559
0.84093 NA NA 0.83118 0.62101 428 29
183 0.15544 -0.08956 0.40044 NA NA 2.58605
2.42363 2.77199 NA NA 1.00054 NA NA
2.04968 NA NA 6.69621 NA NA 6.67204 NA
NA 2.58770 NA NA -3.02991 NA NA
-1.67070 NA NA 0.02754 NA NA 1.79521 NA
NA 3.75158 NA NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 UGRD Z10 UGRD Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 329 0.98011 0.76529 1.19492 NA
NA 1.98803 1.84684 2.15278 NA NA 0.21889
0.01078 0.42699 NA NA 1.92588 1.78911
2.08548 NA NA 0.30046 0.19879 0.39573 NA
NA 0.26759 0.18541 329 10 64 0.76122
0.51104 1.01140 NA NA 2.31529 2.15085 2.50716 NA
NA 4.47771 NA NA 1.78887 NA NA
5.92372 NA NA 5.34426 NA NA 2.43387
NA NA -1.69563 NA NA -0.66783 NA NA
0.47541 NA NA 1.94961 NA NA 3.81645 NA
NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 VGRD Z10 VGRD Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 329 -0.61549 -0.94403 -0.28696 NA
NA 3.04037 2.82444 3.29233 NA NA 0.09393
-0.13234 0.32021 NA NA 2.09405 1.94533
2.26758 NA NA 0.23233 0.12740 0.33211 NA
NA 0.14634 0.10272 329 8 62 -0.70943
-1.06240 -0.35645 NA NA 3.26659 3.03459 3.53729 NA
NA -6.55238 NA NA 2.52819 NA NA
11.14145 NA NA 10.63816 NA NA 3.33788
NA NA -5.24337 NA NA -2.64141 NA NA
-0.38026 NA NA 1.42197 NA NA 2.75238 NA
NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 DPT Z2 DPT Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 338 275.61356 275.01544 276.21168 NA
NA 5.61043 5.21695 6.06861 NA NA
274.96403 274.27363 275.65444 NA NA 6.47612
6.02192 7.00500 NA NA 0.84579 0.81241
0.87364 NA NA 0.79887 0.61535 338 25
21 0.64953 0.28091 1.01815 NA NA 3.45768
3.21518 3.74005 NA NA 1.00236 NA NA
2.80849 NA NA 12.34205 NA NA 11.92016 NA
NA 3.51312 NA NA -3.92932 NA NA
-1.44498 NA NA 1.29642 NA NA 2.82383 NA
NA 4.49823 NA NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 WIND Z10 WIND Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 337 3.15200 2.91923 3.38477 NA
NA 2.18021 2.02709 2.35854 NA NA 2.11912
1.92036 2.31787 NA NA 1.86158 1.73084
2.01385 NA NA 0.21179 0.10738 0.31157 NA
NA 0.17210 0.12012 337 9 145 1.03288
0.76069 1.30508 NA NA 2.54944 2.37039 2.75798 NA
NA 1.48741 NA NA 2.04698 NA NA
7.54721 NA NA 6.48036 NA NA 2.74722
NA NA -1.74921 NA NA -0.70068 NA NA
0.78277 NA NA 2.42015 NA NA 4.03372 NA
NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 RH Z2 RH Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 339 47.53469 45.77170 49.29767 NA
NA 16.56154 15.40162 17.91190 NA NA
47.69444 45.66922 49.71966 NA NA 19.02498
17.69252 20.57620 NA NA 0.62723 0.55799
0.68779 NA NA 0.54833 0.38794 339 25
136 -0.15976 -1.81224 1.49273 NA NA 15.52347
14.43625 16.78919 NA NA 0.99665 NA NA
12.00104 NA NA 240.29293 NA NA 240.26741 NA
NA 15.50138 NA NA -21.46743 NA NA
-9.72274 NA NA 2.95244 NA NA 9.33672 NA
NA 16.67197 NA NA
V3.0 WRF 030000 20110626_090000 20110626_090000 000000
20110626_084000 20110626_092000 PRMSL Z0 PRMSL Z0
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 65 100771.10539 100729.03297 100813.17782 NA
NA 173.06376 147.58336 209.27426 NA NA
101204.45048 101047.85223 101361.04873 NA NA 644.16257
549.32167 778.94207 NA NA 0.41023 0.18482
0.59463 NA NA 0.36821 0.24064 65 4
13 -433.34509 -577.87043 -288.81974 NA NA 594.50103
506.97186 718.88973 NA NA 0.99572 NA NA
445.79706 NA NA 535782.02796 NA NA 347994.06362 NA
NA 731.97133 NA NA -625.26198 NA NA
-542.90402 NA NA -391.79540 NA NA -207.64839 NA
NA -38.96544 NA NA
------------------------------------------------
Subject: Rscript for box plots
From: Raby, John W USA CIV
Time: Mon Apr 16 10:17:56 2012
VERSION MODEL FCST_LEAD FCST_VALID_BEG FCST_VALID_END OBS_LEAD
OBS_VALID_BEG OBS_VALID_END FCST_VAR FCST_LEV OBS_VAR OBS_LEV
OBTYPE VX_MASK INTERP_MTHD INTERP_PNTS FCST_THRESH OBS_THRESH
COV_THRESH ALPHA LINE_TYPE TOTAL FBAR FBAR_NCL FBAR_NCU
FBAR_BCL FBAR_BCU FSTDEV FSTDEV_NCL FSTDEV_NCU FSTDEV_BCL
FSTDEV_BCU OBAR OBAR_NCL OBAR_NCU OBAR_BCL OBAR_BCU
OSTDEV OSTDEV_NCL OSTDEV_NCU OSTDEV_BCL OSTDEV_BCU PR_CORR
PR_CORR_NCL PR_CORR_NCU PR_CORR_BCL PR_CORR_BCU SP_CORR KT_CORR
RANKS FRANK_TIES ORANK_TIES ME ME_NCL ME_NCU ME_BCL
ME_BCU ESTDEV ESTDEV_NCL ESTDEV_NCU ESTDEV_BCL ESTDEV_BCU MBIAS
MBIAS_BCL MBIAS_BCU MAE MAE_BCL MAE_BCU MSE MSE_BCL
MSE_BCU BCMSE BCMSE_BCL BCMSE_BCU RMSE RMSE_BCL RMSE_BCU
E10 E10_BCL E10_BCU E25 E25_BCL E25_BCU E50
E50_BCL E50_BCU E75 E75_BCL E75_BCU E90 E90_BCL E90_BCU
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 TMP P225-100 TMP P225-100
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 35 215.70291 215.32099 216.08482 NA
NA 1.15279 0.93246 1.51038 NA NA
215.36429 214.89404 215.83454 NA NA 1.41943
1.14814 1.85974 NA NA 0.61698 0.35717
0.78817 NA NA 0.56878 0.41886 35 0
15 0.33862 -0.04267 0.71991 NA NA 1.15090
0.93093 1.50791 NA NA 1.00157 NA NA
1.01441 NA NA 1.40139 NA NA 1.28673 NA
NA 1.18380 NA NA -1.47362 NA NA
0.01284 NA NA 0.61347 NA NA 1.15460 NA
NA 1.50896 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 TMP P425-225 TMP P425-225
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 15 241.99521 235.33713 248.65328 NA
NA 12.02292 8.80230 18.96134 NA NA
241.23667 234.54180 247.93153 NA NA 12.08936
8.85094 19.06612 NA NA 0.99931 0.99762
0.99980 NA NA 0.99286 0.96190 15 0
0 0.75854 0.50760 1.00947 NA NA 0.45313
0.33175 0.71463 NA NA 1.00314 NA NA
0.76793 NA NA 0.76702 NA NA 0.19164 NA
NA 0.87580 NA NA 0.24540 NA NA
0.53950 NA NA 0.74319 NA NA 1.02899 NA
NA 1.15761 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 TMP P625-425 TMP P625-425
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 26 262.51250 260.18822 264.83679 NA
NA 5.75449 4.51300 7.94355 NA NA
262.03077 259.32734 264.73419 NA NA 6.69316
5.24916 9.23930 NA NA 0.99714 0.99325
0.99879 NA NA 0.98459 0.94103 26 0
3 0.48174 0.05779 0.90568 NA NA 1.04960
0.82316 1.44888 NA NA 1.00184 NA NA
1.02846 NA NA 1.29136 NA NA 1.05929 NA
NA 1.13638 NA NA -0.82857 NA NA
-0.46818 NA NA 0.75854 NA NA 1.39676 NA
NA 1.65896 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 TMP P775-625 TMP P775-625
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 15 280.50042 278.15483 282.84602 NA
NA 4.23560 3.10100 6.67997 NA NA
281.59666 279.02200 284.17133 NA NA 4.64925
3.40384 7.33232 NA NA 0.98633 0.95363
0.99602 NA NA 0.99286 0.96190 15 0
0 -1.09624 -1.56264 -0.62984 NA NA 0.84221
0.61661 1.32825 NA NA 0.99611 NA NA
1.15897 NA NA 1.86377 NA NA 0.66203 NA
NA 1.36520 NA NA -1.99220 NA NA
-1.81339 NA NA -1.18119 NA NA -0.49610 NA
NA 0.10792 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 TMP P775-625 TMP P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 288.66709 261.17400 316.16018 NA
NA 3.06001 1.36522 97.64537 NA NA
277.28334 245.09420 309.47248 NA NA 3.58268
1.59841 114.32403 NA NA -1.00000 NA NA
NA NA -1.00000 -1.00000 2 0 0
11.38375 -48.29848 71.06598 NA NA 6.64269 2.96363
211.96940 NA NA 1.04105 NA NA 11.38375
NA NA 151.65243 NA NA 22.06269 NA NA
12.31472 NA NA 7.62607 NA NA 9.03520 NA
NA 11.38375 NA NA 13.73230 NA NA 15.14142
NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 TMP P875-775 TMP P875-775
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 9 289.46393 287.27191 291.65594 NA
NA 2.85171 1.92620 5.46321 NA NA
289.16111 286.37040 291.95182 NA NA 3.63058
2.45230 6.95536 NA NA 0.87140 0.37777
0.97931 NA NA 0.60000 0.38889 9 0
0 0.30282 -1.08706 1.69269 NA NA 1.80816
1.22133 3.46402 NA NA 1.00105 NA NA
1.27629 NA NA 2.99787 NA NA 2.90617 NA
NA 1.73144 NA NA -1.09602 NA NA
-0.57460 NA NA -0.36718 NA NA 0.92604 NA
NA 1.79548 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 TMP P875-775 TMP P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 58 291.54028 290.85892 292.22163 NA
NA 2.64751 2.23818 3.24173 NA NA
287.29732 286.41299 288.18165 NA NA 3.43621
2.90494 4.20745 NA NA 0.51804 0.29987
0.68471 NA NA 0.54492 0.37135 58 1
19 4.24296 3.45429 5.03163 NA NA 3.06452
2.59072 3.75233 NA NA 1.01477 NA NA
4.41000 NA NA 27.23204 NA NA 9.22934 NA
NA 5.21843 NA NA -0.04797 NA NA
2.14855 NA NA 4.18236 NA NA 6.30687 NA
NA 8.08140 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 TMP P910-875 TMP P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 288.62933 NA NA NA
NA NA NA NA NA NA
282.54999 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 6.07934
NA NA NA NA NA NA NA NA
NA 1.02152 NA NA 6.07934 NA NA
36.95842 NA NA 0.00000 NA NA 6.07934
NA NA 6.07934 NA NA 6.07934 NA NA
6.07934 NA NA 6.07934 NA NA 6.07934 NA
NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 HGT P225-100 HGT P225-100
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 14 14365.04899 13416.71997 15313.37802 NA
NA 1642.46148 1190.70891 2646.07513 NA NA
14361.71429 13413.14229 15310.28628 NA NA 1642.88229
1191.01397 2646.75306 NA NA 0.99999 NA NA
NA NA 0.99780 0.98895 14 0 2
3.33471 0.28071 6.38870 NA NA 5.28938 3.83455
8.52141 NA NA 1.00023 NA NA 5.01992
NA NA 37.09938 NA NA 25.97910 NA NA
6.09093 NA NA -2.43093 NA NA -0.40779 NA
NA 3.85061 NA NA 8.25350 NA NA 8.87704
NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 HGT P425-225 HGT P425-225
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 11 8736.74072 7856.93801 9616.54344 NA
NA 1309.60218 915.04136 2298.26480 NA NA
8735.72727 7858.15432 9613.30022 NA NA 1306.28313
912.72229 2292.44009 NA NA 1.00000 NA NA
NA NA 0.99544 0.98165 11 0 2
1.01345 -2.20854 4.23545 NA NA 4.79600 3.35105
8.41666 NA NA 1.00012 NA NA 4.15986
NA NA 21.93763 NA NA 20.91055 NA NA
4.68376 NA NA -5.16791 NA NA -3.33373 NA
NA 1.75571 NA NA 3.37190 NA NA 6.70697
NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 HGT P625-425 HGT P625-425
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 11 5222.61298 4683.64149 5761.58447 NA
NA 802.26876 560.55886 1407.92837 NA NA
5234.09091 4695.17799 5773.00383 NA NA 802.18158
560.49794 1407.77537 NA NA 1.00000 NA NA
NA NA 0.99087 0.96295 11 0 4
-11.47793 -12.50584 -10.45002 NA NA 1.53007 1.06908
2.68517 NA NA 0.99781 NA NA 11.47793
NA NA 133.87114 NA NA 2.12828 NA NA
11.57027 NA NA -13.20174 NA NA -12.90735 NA
NA -11.78324 NA NA -10.00844 NA NA -9.87416
NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 HGT P775-625 HGT P775-625
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 11 3103.34355 2764.33217 3442.35494 NA
NA 504.62455 352.58978 885.58255 NA NA
3112.09091 2772.02653 3452.15529 NA NA 506.19195
353.68494 888.33324 NA NA 1.00000 NA NA
NA NA 0.99316 0.97234 11 0 3
-8.74735 -9.92274 -7.57197 NA NA 1.74958 1.22246
3.07040 NA NA 0.99719 NA NA 8.74735
NA NA 79.29898 NA NA 2.78276 NA NA
8.90500 NA NA -10.17197 NA NA -9.63851 NA
NA -8.40045 NA NA -7.62796 NA NA -6.85879
NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 HGT P775-625 HGT P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 2301.65596 2251.41935 2351.89257 NA
NA 5.59139 2.49459 178.42202 NA NA
2305.00000 2216.05657 2393.94343 NA NA 9.89949
4.41665 315.89446 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
-3.34404 -42.05086 35.36279 NA NA 4.30811 1.92206
137.47244 NA NA 0.99855 NA NA 3.34404
NA NA 20.46248 NA NA 9.27990 NA NA
4.52355 NA NA -5.78107 NA NA -4.86718 NA
NA -3.34404 NA NA -1.82089 NA NA -0.90700
NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 HGT P875-775 HGT P875-775
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 8 1710.15255 1445.50693 1974.79816 NA
NA 316.55382 209.29720 644.27315 NA NA
1716.37500 1451.58612 1981.16388 NA NA 316.72518
209.41050 644.62192 NA NA 1.00000 NA NA
NA NA 0.98802 0.96362 8 0 2
-6.22245 -7.05465 -5.39025 NA NA 0.99543 0.65815
2.02597 NA NA 0.99637 NA NA 6.22245
NA NA 39.58596 NA NA 0.86702 NA NA
6.29174 NA NA -7.17495 NA NA -6.88668 NA
NA -6.33538 NA NA -5.56434 NA NA -5.18561
NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 HGT P875-775 HGT P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 61 1517.07665 1461.43099 1572.72230 NA
NA 221.74205 188.19123 269.98291 NA NA
1521.96066 1466.91316 1577.00815 NA NA 219.35847
186.16829 267.08077 NA NA 0.99939 0.99899
0.99964 NA NA 0.99371 0.94964 61 1
5 -4.88401 -6.90075 -2.86726 NA NA 8.03652
6.82055 9.78489 NA NA 0.99679 NA NA
7.48649 NA NA 87.38036 NA NA 63.52681 NA
NA 9.34775 NA NA -14.47420 NA NA
-9.49445 NA NA -4.81002 NA NA 0.49716 NA
NA 3.85428 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 HGT P910-875 HGT P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 1183.56869 NA NA NA
NA NA NA NA NA NA
1565.81995 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -382.25125
NA NA NA NA NA NA NA NA
NA 0.75588 NA NA 382.25125 NA NA
146116.01982 NA NA 0.00000 NA NA
382.25125 NA NA -382.25125 NA NA -382.25125 NA
NA -382.25125 NA NA -382.25125 NA NA
-382.25125 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 HGT P1010-910 HGT P1010-910
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 4 387.29038 -235.59158 1010.17234 NA
NA 391.44853 221.75150 1459.53434 NA NA
377.75000 -258.07375 1013.57375 NA NA 399.58176
226.35889 1489.85948 NA NA 0.99999 NA NA
NA NA 1.00000 1.00000 4 0 0
9.54038 -3.78563 22.86640 NA NA 8.37470 4.74418
31.22546 NA NA 1.02526 NA NA 9.54038
NA NA 143.62055 NA NA 52.60169 NA NA
11.98418 NA NA 1.79018 NA NA 3.37216 NA
NA 9.58404 NA NA 15.75226 NA NA 17.25566
NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 UGRD P225-100 UGRD P225-100
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 17 29.26743 26.04693 32.48793 NA
NA 6.26371 4.66502 9.53292 NA NA
29.70588 26.09836 33.31341 NA NA 7.01645
5.22564 10.67854 NA NA 0.90208 0.72435
0.96739 NA NA 0.88766 0.72123 17 0
3 -0.43845 -1.99568 1.11878 NA NA 3.02873
2.25571 4.60951 NA NA 0.98524 NA NA
2.47041 NA NA 8.82586 NA NA 8.63362 NA
NA 2.97083 NA NA -3.77999 NA NA
-2.29191 NA NA -1.09373 NA NA 2.38590 NA
NA 3.02045 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 VGRD P225-100 VGRD P225-100
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 17 5.67191 3.82321 7.52061 NA
NA 3.59563 2.67792 5.47229 NA NA
5.71765 3.74902 7.68627 NA NA 3.82888
2.85163 5.82728 NA NA 0.72577 0.33917
0.90264 NA NA 0.67651 0.50196 17 0
4 -0.04574 -1.46365 1.37217 NA NA 2.75776
2.05390 4.19711 NA NA 0.99200 NA NA
2.20197 NA NA 7.15996 NA NA 7.15786 NA
NA 2.67581 NA NA -2.70553 NA NA
-2.27972 NA NA 0.83277 NA NA 1.58000 NA
NA 2.86664 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 UGRD P425-225 UGRD P425-225
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 11 26.49335 24.37023 28.61646 NA
NA 3.16029 2.20815 5.54611 NA NA
28.39091 26.07820 30.70362 NA NA 3.44251
2.40534 6.04138 NA NA 0.95585 0.80327
0.99070 NA NA 0.93152 0.83348 11 0
2 -1.89756 -2.58275 -1.21237 NA NA 1.01992
0.71263 1.78989 NA NA 0.93316 NA NA
1.92055 NA NA 4.54641 NA NA 0.94567 NA
NA 2.13223 NA NA -3.06537 NA NA
-2.45944 NA NA -1.98354 NA NA -1.47111 NA
NA -0.76347 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 VGRD P425-225 VGRD P425-225
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 11 6.81271 4.71559 8.90983 NA
NA 3.12160 2.18112 5.47820 NA NA
6.19091 4.86166 7.52016 NA NA 1.97861
1.38249 3.47233 NA NA 0.83297 0.38846
0.96299 NA NA 0.76257 0.64826 11 0
2 0.62180 -0.61143 1.85504 NA NA 1.83569
1.28263 3.22152 NA NA 1.10044 NA NA
1.63806 NA NA 3.45006 NA NA 3.06342 NA
NA 1.85743 NA NA -1.91198 NA NA
-0.66644 NA NA 1.25669 NA NA 2.04114 NA
NA 2.85235 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 UGRD P625-425 UGRD P625-425
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 11 16.50871 14.32841 18.68901 NA
NA 3.24541 2.26762 5.69548 NA NA
15.70909 14.24694 17.17125 NA NA 2.17644
1.52072 3.81952 NA NA 0.64687 -0.01787
0.91504 NA NA 0.63912 0.50980 11 0
3 0.79962 -0.86389 2.46313 NA NA 2.47616
1.73013 4.34549 NA NA 1.05090 NA NA
2.03514 NA NA 6.21336 NA NA 5.57396 NA
NA 2.49266 NA NA -2.56140 NA NA
-0.35849 NA NA 0.90106 NA NA 2.18416 NA
NA 2.72684 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 VGRD P625-425 VGRD P625-425
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 11 5.20595 4.19631 6.21559 NA
NA 1.50286 1.05007 2.63742 NA NA
5.74545 4.68520 6.80571 NA NA 1.57820
1.10272 2.76964 NA NA -0.24475 -0.77693
0.49143 NA NA -0.10092 -0.03740 11 0
2 -0.53950 -2.17275 1.09374 NA NA 2.43111
1.69866 4.26644 NA NA 0.90610 NA NA
2.06926 NA NA 5.66408 NA NA 5.37301 NA
NA 2.37993 NA NA -3.55181 NA NA
-2.41627 NA NA -0.41035 NA NA 1.18294 NA
NA 2.56371 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 UGRD P775-625 UGRD P775-625
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 11 5.57755 4.23135 6.92374 NA
NA 2.00383 1.40011 3.51659 NA NA
3.48182 1.56138 5.40226 NA NA 2.85861
1.99736 5.01667 NA NA 0.79900 0.29868
0.95481 NA NA 0.62727 0.52727 11 0
0 2.09573 0.92567 3.26579 NA NA 1.74166
1.21692 3.05649 NA NA 1.60191 NA NA
2.09573 NA NA 7.14968 NA NA 2.75761 NA
NA 2.67389 NA NA 0.13634 NA NA
0.95003 NA NA 1.42801 NA NA 3.33512 NA
NA 4.73857 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 UGRD P775-625 UGRD P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 2.82586 -36.94992 42.60164 NA
NA 4.42709 1.97514 141.26899 NA NA
0.69593 -9.52081 10.91266 NA NA 1.13713
0.50733 36.28610 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
2.12994 -27.42911 31.68898 NA NA 3.28995 1.46781
104.98289 NA NA 4.06058 NA NA 2.32635
NA NA 9.94853 NA NA 5.41189 NA NA
3.15413 NA NA 0.26886 NA NA 0.96676 NA
NA 2.12994 NA NA 3.29311 NA NA 3.99102
NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 VGRD P775-625 VGRD P775-625
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 11 -0.79772 -1.84192 0.24648 NA
NA 1.55431 1.08602 2.72772 NA NA
0.48182 -0.75468 1.71832 NA NA 1.84055
1.28603 3.23005 NA NA -0.03256 -0.67525
0.63824 NA NA 0.13636 0.05455 11 0
0 -1.27954 -2.92373 0.36466 NA NA 2.44741
1.71005 4.29504 NA NA -1.65564 NA NA
2.48836 NA NA 7.08251 NA NA 5.44529 NA
NA 2.66130 NA NA -3.25604 NA NA
-3.03762 NA NA -2.18103 NA NA 0.36541 NA
NA 1.58484 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 VGRD P775-625 VGRD P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 1.29810 -7.24457 9.84077 NA
NA 0.95081 0.42420 30.34043 NA NA
-0.36688 -1.21668 0.48292 NA NA 0.09458
0.04220 3.01817 NA NA -1.00000 NA NA
NA NA -1.00000 -1.00000 2 0 0
1.66498 -7.72749 11.05745 NA NA 1.04539 0.46640
33.35860 NA NA -3.53821 NA NA 1.66498
NA NA 3.31858 NA NA 0.54642 NA NA
1.82170 NA NA 1.07362 NA NA 1.29538 NA
NA 1.66498 NA NA 2.03458 NA NA 2.25634
NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 UGRD P875-775 UGRD P875-775
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 7 -0.27950 -2.72902 2.17002 NA
NA 2.64857 1.70672 5.83232 NA NA
0.75714 -0.68934 2.20363 NA NA 1.56403
1.00785 3.44410 NA NA -0.80226 -0.98118
0.11798 NA NA -0.71429 -0.52381 7 0
0 -1.03664 -4.74846 2.67518 NA NA 4.01345
2.58624 8.83787 NA NA -0.36915 NA NA
3.56913 NA NA 14.88127 NA NA 13.80664 NA
NA 3.85763 NA NA -5.35944 NA NA
-3.94879 NA NA -2.08719 NA NA 2.48125 NA
NA 3.62701 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 UGRD P875-775 UGRD P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 57 0.84131 0.25125 1.43136 NA
NA 2.27291 1.91888 2.78860 NA NA
-0.29493 -0.62894 0.03908 NA NA 1.28662
1.08622 1.57853 NA NA 0.15952 -0.10543
0.40333 NA NA 0.12162 0.11019 57 1
20 1.13624 0.50628 1.76620 NA NA 2.42663
2.04865 2.97719 NA NA -2.85257 NA NA
2.10583 NA NA 7.07625 NA NA 5.78521 NA
NA 2.66012 NA NA -2.18857 NA NA
-0.37416 NA NA 1.15820 NA NA 2.17149 NA
NA 4.26870 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 VGRD P875-775 VGRD P875-775
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 7 1.32506 -0.29978 2.94991 NA
NA 1.75688 1.13212 3.86877 NA NA
0.05714 -1.04992 1.16420 NA NA 1.19702
0.77135 2.63592 NA NA 0.73306 -0.28042
0.97369 NA NA 0.71429 0.52381 7 0
0 1.26792 0.15957 2.37627 NA NA 1.19841
0.77225 2.63898 NA NA 23.18859 NA NA
1.33111 NA NA 2.83864 NA NA 1.23102 NA
NA 1.68483 NA NA 0.02610 NA NA
0.47206 NA NA 1.34644 NA NA 1.72201 NA
NA 2.55352 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 VGRD P875-775 VGRD P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 57 0.48733 -0.53397 1.50863 NA
NA 3.93407 3.32130 4.82665 NA NA
0.48590 0.03104 0.94076 NA NA 1.75214
1.47922 2.14967 NA NA 0.17559 -0.08905
0.41707 NA NA 0.14549 0.11370 57 2
23 0.00143 -1.04108 1.04393 NA NA 4.01575
3.39025 4.92685 NA NA 1.00293 NA NA
3.04751 NA NA 15.84334 NA NA 15.84334 NA
NA 3.98037 NA NA -5.30736 NA NA
-2.81689 NA NA 0.89839 NA NA 2.05716 NA
NA 3.08761 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 UGRD P910-875 UGRD P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 6.02748 NA NA NA
NA NA NA NA NA NA
-1.12145 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 7.14893
NA NA NA NA NA NA NA NA
NA -5.37469 NA NA 7.14893 NA NA
51.10722 NA NA 0.00000 NA NA 7.14893
NA NA 7.14893 NA NA 7.14893 NA NA
7.14893 NA NA 7.14893 NA NA 7.14893 NA
NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 VGRD P910-875 VGRD P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 2.70229 NA NA NA
NA NA NA NA NA NA
1.14120 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 1.56109
NA NA NA NA NA NA NA NA
NA 2.36793 NA NA 1.56109 NA NA
2.43700 NA NA 0.00000 NA NA 1.56109
NA NA 1.56109 NA NA 1.56109 NA NA
1.56109 NA NA 1.56109 NA NA 1.56109 NA
NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 DPT P425-225 DPT P425-225
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 11 236.34158 231.63548 241.04768 NA
NA 7.00511 4.89459 12.29350 NA NA
230.05521 224.46030 235.65013 NA NA 8.32813
5.81901 14.61531 NA NA 0.90072 0.59688
0.97862 NA NA 0.82727 0.74545 11 0
0 6.28637 3.83323 8.73951 NA NA 3.65154
2.55139 6.40821 NA NA 1.02733 NA NA
6.28637 NA NA 51.64000 NA NA 12.12157 NA
NA 7.18610 NA NA 2.20670 NA NA
3.84912 NA NA 5.83025 NA NA 7.08967 NA
NA 12.44645 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 DPT P625-425 DPT P625-425
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 26 251.55646 249.02810 254.08482 NA
NA 6.25973 4.90924 8.64099 NA NA
250.03732 246.54498 253.52967 NA NA 8.64637
6.78098 11.93553 NA NA 0.85897 0.69624
0.93773 NA NA 0.88308 0.71692 26 0
0 1.51914 -0.33012 3.36840 NA NA 4.57841
3.59065 6.32008 NA NA 1.00608 NA NA
3.32734 NA NA 22.46341 NA NA 20.15564 NA
NA 4.73956 NA NA -2.86884 NA NA
-1.15021 NA NA 0.95804 NA NA 2.59720 NA
NA 7.00075 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 DPT P775-625 DPT P775-625
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 15 270.24680 268.13002 272.36357 NA
NA 3.82239 2.79848 6.02830 NA NA
268.20652 266.02100 270.39204 NA NA 3.94653
2.88936 6.22407 NA NA 0.77138 0.38386
0.92787 NA NA 0.74643 0.58095 15 0
0 2.04027 0.58424 3.49631 NA NA 2.62926
1.92495 4.14660 NA NA 1.00761 NA NA
2.56305 NA NA 10.61485 NA NA 6.45213 NA
NA 3.25804 NA NA -1.13860 NA NA
-0.05820 NA NA 1.74434 NA NA 4.31060 NA
NA 5.40771 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 DPT P775-625 DPT P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 269.43092 206.47207 332.38977 NA
NA 7.00738 3.12634 223.60676 NA NA
269.69749 221.45265 317.94234 NA NA 5.36970
2.39569 171.34798 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
-0.26658 -14.98059 14.44744 NA NA 1.63768 0.73065
52.25878 NA NA 0.99901 NA NA 1.15802
NA NA 1.41207 NA NA 1.34101 NA NA
1.18830 NA NA -1.19299 NA NA -0.84559 NA
NA -0.26658 NA NA 0.31243 NA NA 0.65984
NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 DPT P875-775 DPT P875-775
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 9 276.54667 275.08071 278.01264 NA
NA 1.90715 1.28820 3.65366 NA NA
277.67221 274.96639 280.37804 NA NA 3.52015
2.37771 6.74380 NA NA 0.96440 0.78714
0.99450 NA NA 0.96667 0.88889 9 0
0 -1.12554 -2.47449 0.22342 NA NA 1.75492
1.18538 3.36203 NA NA 0.99595 NA NA
1.34885 NA NA 4.00440 NA NA 2.73757 NA
NA 2.00110 NA NA -3.61059 NA NA
-2.98043 NA NA -0.30914 NA NA -0.02209 NA
NA 0.37781 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 DPT P875-775 DPT P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 59 276.71949 275.42053 278.01845 NA
NA 5.09067 4.30934 6.22120 NA NA
276.99622 275.59030 278.40214 NA NA 5.50984
4.66418 6.73347 NA NA 0.80905 0.69747
0.88233 NA NA 0.49397 0.33928 59 1
2 -0.27673 -1.11868 0.56523 NA NA 3.29964
2.79321 4.03243 NA NA 0.99900 NA NA
2.59711 NA NA 10.77969 NA NA 10.70311 NA
NA 3.28324 NA NA -4.13241 NA NA
-2.69303 NA NA -0.04741 NA NA 1.64185 NA
NA 3.80740 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 DPT P910-875 DPT P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 276.65572 NA NA NA
NA NA NA NA NA NA
277.84427 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -1.18855
NA NA NA NA NA NA NA NA
NA 0.99572 NA NA 1.18855 NA NA
1.41265 NA NA 0.00000 NA NA 1.18855
NA NA -1.18855 NA NA -1.18855 NA NA
-1.18855 NA NA -1.18855 NA NA -1.18855 NA
NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 WIND P225-100 WIND P225-100
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 17 29.94436 26.53359 33.35513 NA
NA 6.63377 4.94063 10.09613 NA NA
30.41682 26.66631 34.16733 NA NA 7.29454
5.43276 11.10178 NA NA 0.90349 0.72795
0.96787 NA NA 0.82014 0.66175 17 0
3 -0.47246 -2.08010 1.13517 NA NA 3.12677
2.32872 4.75872 NA NA 0.98447 NA NA
2.68740 NA NA 9.42482 NA NA 9.20160 NA
NA 3.06999 NA NA -3.38829 NA NA
-2.59395 NA NA -1.11726 NA NA 2.51599 NA
NA 3.34086 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 WIND P425-225 WIND P425-225
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 11 27.44713 24.90263 29.99164 NA
NA 3.78754 2.64642 6.64688 NA NA
29.10656 26.71589 31.49722 NA NA 3.55855
2.48642 6.24502 NA NA 0.95210 0.78794
0.98990 NA NA 0.88129 0.75939 11 0
2 -1.65942 -2.43818 -0.88067 NA NA 1.15919
0.80995 2.03430 NA NA 0.94299 NA NA
1.68415 NA NA 3.97525 NA NA 1.22157 NA
NA 1.99380 NA NA -3.13122 NA NA
-2.23783 NA NA -1.63176 NA NA -1.00619 NA
NA 0.05684 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 WIND P625-425 WIND P625-425
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 11 17.37460 15.18349 19.56570 NA
NA 3.26150 2.27887 5.72372 NA NA
16.78690 15.28287 18.29092 NA NA 2.23877
1.56427 3.92889 NA NA 0.53292 -0.19117
0.88139 NA NA 0.50461 0.37398 11 0
2 0.58770 -1.29660 2.47200 NA NA 2.80482
1.95977 4.92226 NA NA 1.03501 NA NA
2.21924 NA NA 7.49720 NA NA 7.15181 NA
NA 2.73810 NA NA -3.00637 NA NA
-0.99883 NA NA 0.21659 NA NA 2.81128 NA
NA 3.41756 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 WIND P775-625 WIND P775-625
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 11 5.87628 4.55862 7.19395 NA
NA 1.96137 1.37044 3.44207 NA NA
3.95578 2.06311 5.84844 NA NA 2.81727
1.96847 4.94412 NA NA 0.80931 0.32502
0.95732 NA NA 0.74260 0.62388 11 0
1 1.92050 0.78835 3.05266 NA NA 1.68523
1.17750 2.95746 NA NA 1.48549 NA NA
2.03544 NA NA 6.27015 NA NA 2.58181 NA
NA 2.50403 NA NA 0.07990 NA NA
0.71691 NA NA 1.50696 NA NA 3.40606 NA
NA 4.06525 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 WIND P775-625 WIND P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 4.26937 -17.95735 26.49609 NA
NA 2.47386 1.10371 78.94116 NA NA
0.98837 -5.88991 7.86666 NA NA 0.76556
0.34155 24.42915 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
3.28100 -12.06744 18.62943 NA NA 1.70830 0.76216
54.51201 NA NA 4.31960 NA NA 3.28100
NA NA 12.22409 NA NA 1.45914 NA NA
3.49630 NA NA 2.31464 NA NA 2.67703 NA
NA 3.28100 NA NA 3.88497 NA NA 4.24736
NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 WIND P875-775 WIND P875-775
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 7 3.17565 1.96347 4.38783 NA
NA 1.31068 0.84459 2.88621 NA NA
1.82826 1.08145 2.57507 NA NA 0.80749
0.52034 1.77816 NA NA 0.26284 -0.74172
0.90380 NA NA 0.28571 0.23810 7 0
0 1.34739 0.10192 2.59287 NA NA 1.34669
0.86780 2.96549 NA NA 1.73698 NA NA
1.47268 NA NA 3.36995 NA NA 1.55448 NA
NA 1.83574 NA NA -0.19933 NA NA
0.21914 NA NA 1.32344 NA NA 2.56036 NA
NA 2.79826 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 WIND P875-775 WIND P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 58 4.18981 3.60729 4.77233 NA
NA 2.26348 1.91353 2.77151 NA NA
1.44022 1.00538 1.87507 NA NA 1.68966
1.42842 2.06889 NA NA 0.19944 -0.06205
0.43531 NA NA 0.31311 0.24031 58 1
35 2.74959 2.09584 3.40333 NA NA 2.54023
2.14749 3.11037 NA NA 2.90914 NA NA
2.99917 NA NA 13.90175 NA NA 6.34152 NA
NA 3.72851 NA NA 0.22909 NA NA
1.46924 NA NA 2.49532 NA NA 3.31710 NA
NA 6.42337 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 WIND P910-875 WIND P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 6.61552 NA NA NA
NA NA NA NA NA NA
1.60000 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 5.01552
NA NA NA NA NA NA NA NA
NA 4.13470 NA NA 5.01552 NA NA
25.15541 NA NA 0.00000 NA NA 5.01552
NA NA 5.01552 NA NA 5.01552 NA NA
5.01552 NA NA 5.01552 NA NA 5.01552 NA
NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 RH P425-225 RH P425-225
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 11 35.29032 30.82083 39.75980 NA
NA 6.65291 4.64850 11.67541 NA NA
21.73461 15.62017 27.84905 NA NA 9.10146
6.35935 15.97246 NA NA 0.63418 -0.03936
0.91147 NA NA 0.79091 0.60000 11 0
0 13.55570 8.79122 18.32019 NA NA 7.09202
4.95532 12.44603 NA NA 1.62369 NA NA
13.55570 NA NA 229.48149 NA NA 45.72435 NA
NA 15.14865 NA NA 5.03728 NA NA
8.29812 NA NA 14.59801 NA NA 17.94523 NA
NA 19.67452 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 RH P625-425 RH P625-425
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 26 41.18711 37.51766 44.85657 NA
NA 9.08486 7.12487 12.54082 NA NA
40.29983 34.14441 46.45525 NA NA 15.23963
11.95179 21.03692 NA NA 0.50264 0.12277
0.75405 NA NA 0.46667 0.36615 26 0
0 0.88728 -4.46508 6.23964 NA NA 13.25141
10.39252 18.29237 NA NA 1.02202 NA NA
9.90983 NA NA 169.63341 NA NA 168.84614 NA
NA 13.02434 NA NA -15.29460 NA NA
-6.79191 NA NA 0.67368 NA NA 8.10507 NA
NA 17.79156 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 RH P775-625 RH P775-625
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 15 48.86531 44.55228 53.17835 NA
NA 7.78834 5.70205 12.28298 NA NA
39.32755 33.99766 44.65744 NA NA 9.62454
7.04638 15.17885 NA NA 0.34527 -0.25344
0.75272 NA NA 0.47857 0.33333 15 0
0 9.53776 3.95781 15.11772 NA NA 10.07610
7.37698 15.89101 NA NA 1.24252 NA NA
11.10278 NA NA 185.72823 NA NA 94.75928 NA
NA 13.62821 NA NA -3.17948 NA NA
4.27838 NA NA 6.03777 NA NA 17.76204 NA
NA 23.12620 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 RH P775-625 RH P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 29.76116 -148.33581 207.85814 NA
NA 19.82238 8.84374 632.53515 NA NA
57.94128 -19.04208 134.92463 NA NA 8.56833
3.82275 273.41665 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
-28.18012 -129.29373 72.93350 NA NA 11.25405 5.02098
359.11850 NA NA 0.51364 NA NA 28.18012
NA NA 857.44575 NA NA 63.32681 NA NA
29.28217 NA NA -34.54637 NA NA -32.15902 NA
NA -28.18012 NA NA -24.20121 NA NA
-21.81386 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 RH P875-775 RH P875-775
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 9 42.27274 40.38559 44.15988 NA
NA 2.45509 1.65831 4.70339 NA NA
46.56319 41.06565 52.06073 NA NA 7.15203
4.83089 13.70166 NA NA 0.27246 -0.57963
0.83993 NA NA 0.36667 0.27778 9 0
0 -4.29046 -9.59432 1.01341 NA NA 6.90007
4.66070 13.21895 NA NA 0.90786 NA NA
6.40994 NA NA 60.72887 NA NA 42.32086 NA
NA 7.79287 NA NA -12.88041 NA NA
-9.56143 NA NA -5.14143 NA NA 1.83322 NA
NA 2.95456 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 RH P875-775 RH P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 60 40.70968 36.54633 44.87303 NA
NA 16.45395 13.94667 20.07027 NA NA
53.55396 48.88239 58.22553 NA NA 18.46249
15.64915 22.52025 NA NA 0.45184 0.22357
0.63313 NA NA 0.35339 0.22537 60 1
7 -12.84428 -17.48981 -8.19875 NA NA 18.35959
15.56193 22.39474 NA NA 0.76016 NA NA
18.71856 NA NA 496.43221 NA NA 331.45669 NA
NA 22.28076 NA NA -35.80321 NA NA
-27.78367 NA NA -12.17739 NA NA 0.88494 NA
NA 10.99951 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 RH P910-875 RH P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 44.81499 NA NA NA
NA NA NA NA NA NA
72.20000 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -27.38500
NA NA NA NA NA NA NA NA
NA 0.62071 NA NA 27.38500 NA NA
749.93845 NA NA 0.00000 NA NA 27.38500
NA NA -27.38500 NA NA -27.38500 NA NA
-27.38500 NA NA -27.38500 NA NA -27.38500 NA
NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 TMP Z2 TMP Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 434 284.12920 283.78283 284.47558 NA
NA 3.68166 3.45193 3.94439 NA NA
284.43113 284.05097 284.81130 NA NA 4.04082
3.78869 4.32919 NA NA 0.78800 0.74946
0.82122 NA NA 0.79345 0.59454 434 40
193 -0.30193 -0.54062 -0.06324 NA NA 2.53709
2.37878 2.71815 NA NA 0.99894 NA NA
2.02535 NA NA 6.51317 NA NA 6.42200 NA
NA 2.55209 NA NA -3.25352 NA NA
-1.96268 NA NA -0.45118 NA NA 1.24916 NA
NA 2.77185 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 UGRD Z10 UGRD Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 340 0.74627 0.56706 0.92548 NA
NA 1.68601 1.56809 1.82326 NA NA
0.16574 -0.01139 0.34288 NA NA 1.66646
1.54990 1.80211 NA NA 0.30546 0.20578
0.39886 NA NA 0.31133 0.21522 340 9
62 0.58053 0.37053 0.79053 NA NA 1.97566
1.83748 2.13649 NA NA 4.50259 NA NA
1.44807 NA NA 4.22877 NA NA 3.89176 NA
NA 2.05640 NA NA -1.66829 NA NA
-0.51090 NA NA 0.41280 NA NA 1.53942 NA
NA 2.72526 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 VGRD Z10 VGRD Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 340 0.20521 0.03964 0.37078 NA
NA 1.55763 1.44868 1.68443 NA NA
0.09140 -0.09796 0.28076 NA NA 1.78150
1.65690 1.92653 NA NA 0.33110 0.23294
0.42258 NA NA 0.24901 0.17735 340 11
58 0.11381 -0.09237 0.31999 NA NA 1.93969
1.80403 2.09760 NA NA 2.24522 NA NA
1.49696 NA NA 3.76430 NA NA 3.75135 NA
NA 1.94018 NA NA -2.43001 NA NA
-1.00961 NA NA 0.32890 NA NA 1.12266 NA
NA 2.73303 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 DPT Z2 DPT Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 357 275.19902 274.63169 275.76636 NA
NA 5.46925 5.09533 5.90287 NA NA
274.83199 274.22493 275.43905 NA NA 5.85219
5.45208 6.31617 NA NA 0.86358 0.83459
0.88779 NA NA 0.80774 0.61497 357 34
30 0.36703 0.05792 0.67614 NA NA 2.97988
2.77615 3.21614 NA NA 1.00134 NA NA
2.39803 NA NA 8.98955 NA NA 8.85484 NA
NA 2.99826 NA NA -3.55039 NA NA
-1.36555 NA NA 0.64658 NA NA 2.39879 NA
NA 3.97971 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 WIND Z10 WIND Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 346 1.80675 1.63295 1.98056 NA
NA 1.64946 1.53504 1.78247 NA NA
1.83690 1.67034 2.00346 NA NA 1.58071
1.47105 1.70818 NA NA 0.18460 0.08073
0.28450 NA NA 0.17909 0.12405 346 11
170 -0.03015 -0.24754 0.18725 NA NA 2.06319
1.92006 2.22957 NA NA 0.98359 NA NA
1.48060 NA NA 4.24537 NA NA 4.24447 NA
NA 2.06043 NA NA -2.34135 NA NA
-1.25720 NA NA -0.00114 NA NA 0.90603 NA
NA 2.02902 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 RH Z2 RH Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 358 53.58577 51.62697 55.54457 NA
NA 18.90963 17.61849 20.40658 NA NA
53.67284 51.62343 55.72226 NA NA 19.78440
18.43353 21.35059 NA NA 0.65411 0.59049
0.70964 NA NA 0.57803 0.40919 358 33
148 -0.08707 -1.75600 1.58185 NA NA 16.11131
15.01124 17.38673 NA NA 0.99838 NA NA
12.64194 NA NA 258.85688 NA NA 258.84929 NA
NA 16.08903 NA NA -21.83784 NA NA
-9.50947 NA NA 0.81184 NA NA 10.06005 NA
NA 19.46402 NA NA
V3.0 WRF 060000 20110626_120000 20110626_120000 000000
20110626_114000 20110626_122000 PRMSL Z0 PRMSL Z0
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 64 100813.32548 100768.65277 100857.99818 NA
NA 182.34093 155.31487 220.85643 NA NA
101328.87585 101173.89456 101483.85714 NA NA 632.58832
538.82786 766.20866 NA NA 0.45447 0.23491
0.62991 NA NA 0.58204 0.41333 64 4
7 -515.55038 -655.98476 -375.11599 NA NA 573.21211
488.25222 694.29054 NA NA 0.99491 NA NA
515.55038 NA NA 589230.37247 NA NA 323438.18136 NA
NA 767.61343 NA NA -651.92186 NA NA
-578.63196 NA NA -490.32936 NA NA -343.76155 NA
NA -174.92676 NA NA
------------------------------------------------
Subject: Rscript for box plots
From: Raby, John W USA CIV
Time: Mon Apr 16 10:17:56 2012
VERSION MODEL FCST_LEAD FCST_VALID_BEG FCST_VALID_END OBS_LEAD
OBS_VALID_BEG OBS_VALID_END FCST_VAR FCST_LEV OBS_VAR OBS_LEV
OBTYPE VX_MASK INTERP_MTHD INTERP_PNTS FCST_THRESH OBS_THRESH
COV_THRESH ALPHA LINE_TYPE TOTAL FBAR FBAR_NCL FBAR_NCU
FBAR_BCL FBAR_BCU FSTDEV FSTDEV_NCL FSTDEV_NCU FSTDEV_BCL
FSTDEV_BCU OBAR OBAR_NCL OBAR_NCU OBAR_BCL OBAR_BCU
OSTDEV OSTDEV_NCL OSTDEV_NCU OSTDEV_BCL OSTDEV_BCU PR_CORR
PR_CORR_NCL PR_CORR_NCU PR_CORR_BCL PR_CORR_BCU SP_CORR KT_CORR
RANKS FRANK_TIES ORANK_TIES ME ME_NCL ME_NCU ME_BCL
ME_BCU ESTDEV ESTDEV_NCL ESTDEV_NCU ESTDEV_BCL ESTDEV_BCU MBIAS
MBIAS_BCL MBIAS_BCU MAE MAE_BCL MAE_BCU MSE MSE_BCL
MSE_BCU BCMSE BCMSE_BCL BCMSE_BCU RMSE RMSE_BCL RMSE_BCU
E10 E10_BCL E10_BCU E25 E25_BCL E25_BCU E50
E50_BCL E50_BCU E75 E75_BCL E75_BCU E90 E90_BCL E90_BCU
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 TMP P775-625 TMP P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 288.96672 265.77607 312.15737 NA
NA 2.58114 1.15157 82.36469 NA NA
289.34444 260.04955 318.63932 NA NA 3.26055
1.45469 104.04468 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
-0.37771 -6.48194 5.72652 NA NA 0.67941 0.30312
21.67999 NA NA 0.99869 NA NA 0.48041
NA NA 0.37346 NA NA 0.23080 NA NA
0.61112 NA NA -0.76204 NA NA -0.61792 NA
NA -0.37771 NA NA -0.13751 NA NA 0.00662
NA NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 TMP P875-775 TMP P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 60 291.84914 291.30455 292.39374 NA
NA 2.15229 1.82432 2.62533 NA NA
293.13259 292.47710 293.78808 NA NA 2.59056
2.19581 3.15992 NA NA 0.73261 0.58809
0.83180 NA NA 0.65779 0.48557 60 1
25 -1.28345 -1.73423 -0.83267 NA NA 1.78151
1.51004 2.17306 NA NA 0.99562 NA NA
1.79266 NA NA 4.76814 NA NA 3.12090 NA
NA 2.18361 NA NA -3.55644 NA NA
-2.53240 NA NA -1.32120 NA NA -0.16235 NA
NA 0.61216 NA NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 TMP P910-875 TMP P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 289.25453 NA NA NA
NA NA NA NA NA NA
291.04999 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -1.79546
NA NA NA NA NA NA NA NA
NA 0.99383 NA NA 1.79546 NA NA
3.22366 NA NA 0.00000 NA NA 1.79546
NA NA -1.79546 NA NA -1.79546 NA NA
-1.79546 NA NA -1.79546 NA NA -1.79546 NA
NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 HGT P775-625 HGT P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 2300.85360 2227.70682 2374.00038 NA
NA 8.14131 3.63224 259.79054 NA NA
2305.00000 2216.05657 2393.94343 NA NA 9.89949
4.41665 315.89446 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
-4.14640 -19.94306 11.65025 NA NA 1.75818 0.78441
56.10392 NA NA 0.99820 NA NA 4.14640
NA NA 18.73826 NA NA 1.54561 NA NA
4.32877 NA NA -5.14098 NA NA -4.76801 NA
NA -4.14640 NA NA -3.52479 NA NA -3.15182
NA NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 HGT P875-775 HGT P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 61 1524.01868 1469.31382 1578.72353 NA
NA 217.99308 185.00949 265.41833 NA NA
1528.43443 1473.99231 1582.87654 NA NA 216.94608
184.12091 264.14356 NA NA 0.99936 0.99893
0.99962 NA NA 0.99446 0.95431 61 1
4 -4.41575 -6.38573 -2.44577 NA NA 7.85016
6.66239 9.55799 NA NA 0.99711 NA NA
7.40387 NA NA 80.11361 NA NA 60.61476 NA
NA 8.95062 NA NA -11.05871 NA NA
-9.01175 NA NA -5.32914 NA NA -2.39733 NA
NA 6.12369 NA NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 HGT P910-875 HGT P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 1188.73876 NA NA NA
NA NA NA NA NA NA
1565.81995 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -377.08119
NA NA NA NA NA NA NA NA
NA 0.75918 NA NA 377.08119 NA NA
142190.22278 NA NA 0.00000 NA NA
377.08119 NA NA -377.08119 NA NA -377.08119 NA
NA -377.08119 NA NA -377.08119 NA NA
-377.08119 NA NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 UGRD P775-625 UGRD P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 3.80771 0.43232 7.18310 NA
NA 0.37568 0.16761 11.98815 NA NA 0.00000
0.00000 0.00000 NA NA 0.00000 0.00000
0.00000 NA NA NA NA NA NA
NA NA NA 2 0 1 3.80771
0.43232 7.18310 NA NA 0.37568 0.16761 11.98815 NA
NA NA NA NA 3.80771 NA NA
14.56922 NA NA 0.07057 NA NA 3.81696
NA NA 3.59519 NA NA 3.67488 NA NA
3.80771 NA NA 3.94053 NA NA 4.02023 NA
NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 VGRD P775-625 VGRD P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 1.88660 -9.74586 13.51906 NA
NA 1.29470 0.57763 41.31422 NA NA 0.00000
0.00000 0.00000 NA NA 0.00000 0.00000
0.00000 NA NA NA NA NA NA
NA NA NA 2 0 1 1.88660
-9.74586 13.51906 NA NA 1.29470 0.57763 41.31422 NA
NA NA NA NA 1.88660 NA NA
4.39738 NA NA 0.83813 NA NA 2.09699
NA NA 1.15420 NA NA 1.42885 NA NA
1.88660 NA NA 2.34435 NA NA 2.61899 NA
NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 UGRD P875-775 UGRD P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 60 0.48609 0.11057 0.86162 NA
NA 1.48411 1.25796 1.81029 NA NA 0.34261
0.03558 0.64965 NA NA 1.21344 1.02854
1.48014 NA NA 0.15775 -0.10019 0.39582 NA
NA -0.12619 -0.08369 60 1 24 0.14348
-0.30252 0.58948 NA NA 1.76263 1.49403 2.15002 NA
NA 1.41878 NA NA 1.24044 NA NA
3.07565 NA NA 3.05507 NA NA 1.75375
NA NA -1.93922 NA NA -0.47148 NA NA
0.26282 NA NA 0.71416 NA NA 2.62418 NA
NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 VGRD P875-775 VGRD P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 60 0.10689 -0.42783 0.64160 NA
NA 2.11325 1.79123 2.57771 NA NA
-0.16888 -0.44693 0.10917 NA NA 1.09888
0.93143 1.34040 NA NA 0.46219 0.23596
0.64090 NA NA 0.42923 0.32568 60 1
25 0.27576 -0.19942 0.75095 NA NA 1.87797
1.59180 2.29071 NA NA -0.63291 NA NA
1.38404 NA NA 3.54402 NA NA 3.46798 NA
NA 1.88256 NA NA -1.69083 NA NA
-0.81831 NA NA -0.15765 NA NA 1.23953 NA
NA 2.37506 NA NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 UGRD P910-875 UGRD P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 5.24890 NA NA NA
NA NA NA NA NA NA 4.97718
NA NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA 1 0 0 0.27173 NA NA
NA NA NA NA NA NA NA
1.05459 NA NA 0.27173 NA NA 0.07384 NA
NA 0.00000 NA NA 0.27173 NA NA
0.27173 NA NA 0.27173 NA NA 0.27173 NA
NA 0.27173 NA NA 0.27173 NA NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 VGRD P910-875 VGRD P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 2.22759 NA NA NA
NA NA NA NA NA NA
-1.11253 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 3.34012
NA NA NA NA NA NA NA NA
NA -2.00227 NA NA 3.34012 NA NA
11.15640 NA NA 0.00000 NA NA 3.34012
NA NA 3.34012 NA NA 3.34012 NA NA
3.34012 NA NA 3.34012 NA NA 3.34012 NA
NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 DPT P775-625 DPT P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 270.83672 213.93925 327.73419 NA
NA 6.33275 2.82535 202.07895 NA NA
274.10954 226.15901 322.06007 NA NA 5.33694
2.38107 170.30270 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
-3.27282 -12.21976 5.67412 NA NA 0.99580 0.44428
31.77626 NA NA 0.98806 NA NA 3.27282
NA NA 11.20718 NA NA 0.49581 NA NA
3.34771 NA NA -3.83613 NA NA -3.62489 NA
NA -3.27282 NA NA -2.92075 NA NA -2.70951
NA NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 DPT P875-775 DPT P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 59 277.75248 276.48314 279.02183 NA
NA 4.97461 4.21109 6.07937 NA NA
279.11277 277.82639 280.39915 NA NA 5.04137
4.26761 6.16095 NA NA 0.81031 0.69935
0.88314 NA NA 0.68098 0.47499 59 1
2 -1.36029 -2.14754 -0.57303 NA NA 3.08527
2.61174 3.77045 NA NA 0.99513 NA NA
2.60250 NA NA 11.20793 NA NA 9.35755 NA
NA 3.34782 NA NA -5.40510 NA NA
-2.74510 NA NA -1.42925 NA NA 0.84943 NA
NA 2.05689 NA NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 DPT P910-875 DPT P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 275.27365 NA NA NA
NA NA NA NA NA NA
279.07538 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -3.80173
NA NA NA NA NA NA NA NA
NA 0.98638 NA NA 3.80173 NA NA
14.45316 NA NA 0.00000 NA NA 3.80173
NA NA -3.80173 NA NA -3.80173 NA NA
-3.80173 NA NA -3.80173 NA NA -3.80173 NA
NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 WIND P775-625 WIND P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 4.32280 -3.59787 12.24347 NA
NA 0.88158 0.39332 28.13131 NA NA 0.00000
0.00000 0.00000 NA NA 0.00000 0.00000
0.00000 NA NA NA NA NA NA
NA NA NA 2 0 1 4.32280
-3.59787 12.24347 NA NA 0.88158 0.39332 28.13131 NA
NA NA NA NA 4.32280 NA NA
19.07517 NA NA 0.38859 NA NA 4.36751
NA NA 3.82410 NA NA 4.01111 NA NA
4.32280 NA NA 4.63448 NA NA 4.82149 NA
NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 WIND P875-775 WIND P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 61 2.18461 1.75946 2.60975 NA
NA 1.69415 1.43782 2.06272 NA NA 1.02529
0.69690 1.35369 NA NA 1.30862 1.11061
1.59331 NA NA 0.44564 0.21831 0.62708 NA
NA 0.40861 0.29896 61 1 43 1.15931
0.75415 1.56447 NA NA 1.61452 1.37024 1.96577 NA
NA 2.13071 NA NA 1.39966 NA NA
3.90796 NA NA 2.56395 NA NA 1.97686
NA NA -0.51508 NA NA 0.14456 NA NA
0.89005 NA NA 1.77488 NA NA 3.04984 NA
NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 WIND P910-875 WIND P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 5.70947 NA NA NA
NA NA NA NA NA NA 5.10000
NA NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA 1 0 0 0.60947 NA NA
NA NA NA NA NA NA NA
1.11950 NA NA 0.60947 NA NA 0.37146 NA
NA 0.00000 NA NA 0.60947 NA NA
0.60947 NA NA 0.60947 NA NA 0.60947 NA
NA 0.60947 NA NA 0.60947 NA NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 RH P775-625 RH P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 31.56443 -137.49955 200.62841 NA
NA 18.81699 8.39519 600.45328 NA NA
38.56033 -157.61930 234.73996 NA NA 21.83499
9.74166 696.75810 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
-6.99590 -34.11154 20.11975 NA NA 3.01800 1.34648
96.30482 NA NA 0.81857 NA NA 6.99590
NA NA 53.49675 NA NA 4.55416 NA NA
7.31415 NA NA -8.70314 NA NA -8.06292 NA
NA -6.99590 NA NA -5.92887 NA NA -5.28866
NA NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 RH P875-775 RH P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 60 42.96492 39.15058 46.77925 NA
NA 15.07462 12.77753 18.38779 NA NA
43.30177 39.69570 46.90783 NA NA 14.25151
12.07985 17.38377 NA NA 0.72203 0.57319
0.82474 NA NA 0.64049 0.45604 60 1
11 -0.33685 -3.10998 2.43628 NA NA 10.95968
9.28963 13.36844 NA NA 0.99222 NA NA
8.53566 NA NA 118.22613 NA NA 118.11267 NA
NA 10.87318 NA NA -13.93094 NA NA
-6.00377 NA NA 0.37338 NA NA 7.20209 NA
NA 13.21704 NA NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 RH P910-875 RH P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 39.02106 NA NA NA
NA NA NA NA NA NA
45.50000 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -6.47894
NA NA NA NA NA NA NA NA
NA 0.85761 NA NA 6.47894 NA NA
41.97661 NA NA 0.00000 NA NA 6.47894
NA NA -6.47894 NA NA -6.47894 NA NA
-6.47894 NA NA -6.47894 NA NA -6.47894 NA
NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 TMP Z2 TMP Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 489 290.41482 290.09766 290.73197 NA
NA 3.57835 3.36725 3.81790 NA NA
290.77812 290.45746 291.09877 NA NA 3.61778
3.40436 3.85997 NA NA 0.85035 0.82379
0.87318 NA NA 0.83840 0.64902 489 42
233 -0.36330 -0.53780 -0.18880 NA NA 1.96882
1.85267 2.10062 NA NA 0.99875 NA NA
1.59292 NA NA 4.00031 NA NA 3.86833 NA
NA 2.00008 NA NA -2.50447 NA NA
-1.64557 NA NA -0.57428 NA NA 0.80934 NA
NA 2.19353 NA NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 UGRD Z10 UGRD Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 361 1.03352 0.82187 1.24517 NA
NA 2.05177 1.91222 2.21347 NA NA 0.48237
0.31913 0.64561 NA NA 1.58244 1.47481
1.70715 NA NA 0.39096 0.29984 0.47501 NA
NA 0.23277 0.15882 361 15 71 0.55115
0.34037 0.76193 NA NA 2.04333 1.90435 2.20435 NA
NA 2.14258 NA NA 1.44006 NA NA
4.46738 NA NA 4.16361 NA NA 2.11362
NA NA -1.57629 NA NA -0.51383 NA NA
0.23184 NA NA 1.48254 NA NA 3.05816 NA
NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 VGRD Z10 VGRD Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 361 -0.12214 -0.31674 0.07246 NA
NA 1.88647 1.75816 2.03514 NA NA
-0.33075 -0.52152 -0.13999 NA NA 1.84928
1.72350 1.99502 NA NA 0.52973 0.45118
0.60013 NA NA 0.44109 0.31301 361 16
62 0.20861 0.02171 0.39551 NA NA 1.81179
1.68856 1.95457 NA NA 0.36928 NA NA
1.37351 NA NA 3.31702 NA NA 3.27350 NA
NA 1.82127 NA NA -1.97590 NA NA
-0.81953 NA NA 0.18316 NA NA 1.24745 NA
NA 2.35881 NA NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 DPT Z2 DPT Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 351 277.14617 276.56462 277.72772 NA
NA 5.55899 5.17591 6.00378 NA NA
276.76782 276.16665 277.36898 NA NA 5.74646
5.35046 6.20625 NA NA 0.82497 0.78837
0.85575 NA NA 0.78248 0.58902 351 29
33 0.37835 0.02797 0.72874 NA NA 3.34932
3.11851 3.61731 NA NA 1.00137 NA NA
2.71024 NA NA 11.32912 NA NA 11.18597 NA
NA 3.36588 NA NA -3.96996 NA NA
-1.89133 NA NA 0.58991 NA NA 2.76265 NA
NA 4.37942 NA NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 WIND Z10 WIND Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 365 2.29124 2.09392 2.48856 NA
NA 1.92340 1.79325 2.07407 NA NA 1.78220
1.60396 1.96044 NA NA 1.73743 1.61987
1.87354 NA NA 0.44836 0.36239 0.52677 NA
NA 0.44191 0.30248 365 14 173 0.50904
0.31113 0.70695 NA NA 1.92912 1.79858 2.08024 NA
NA 1.28562 NA NA 1.43224 NA NA
3.97041 NA NA 3.71129 NA NA 1.99259
NA NA -1.52017 NA NA -0.57493 NA NA
0.39968 NA NA 1.42052 NA NA 2.76570 NA
NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 RH Z2 RH Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 353 41.18897 39.66380 42.71414 NA
NA 14.62032 13.61549 15.78656 NA NA
40.06499 38.55860 41.57138 NA NA 14.44034
13.44787 15.59221 NA NA 0.71906 0.66455
0.76595 NA NA 0.67303 0.49560 353 28
155 1.12398 -0.01237 2.26033 NA NA 10.89311
10.14444 11.76204 NA NA 1.02805 NA NA
8.43544 NA NA 119.58714 NA NA 118.32380 NA
NA 10.93559 NA NA -12.38759 NA NA
-4.73709 NA NA 1.15901 NA NA 7.15477 NA
NA 15.65798 NA NA
V3.0 WRF 090000 20110626_150000 20110626_150000 000000
20110626_144000 20110626_152000 PRMSL Z0 PRMSL Z0
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 64 100949.23699 100920.24574 100978.22825 NA
NA 118.33382 100.79471 143.32923 NA NA
101438.47815 101282.54819 101594.40811 NA NA 636.46052
542.12613 770.89878 NA NA 0.43544 0.21237
0.61538 NA NA 0.15063 0.09657 64 3
8 -489.24116 -634.90414 -343.57817 NA NA 594.55374
506.43065 720.14011 NA NA 0.99518 NA NA
490.60388 NA NA 587327.70685 NA NA 347970.79903 NA
NA 766.37309 NA NA -756.51252 NA NA
-573.24630 NA NA -456.20142 NA NA -256.00234 NA
NA -71.02140 NA NA
------------------------------------------------
Subject: Rscript for box plots
From: Raby, John W USA CIV
Time: Mon Apr 16 10:17:56 2012
VERSION MODEL FCST_LEAD FCST_VALID_BEG FCST_VALID_END OBS_LEAD
OBS_VALID_BEG OBS_VALID_END FCST_VAR FCST_LEV OBS_VAR OBS_LEV
OBTYPE VX_MASK INTERP_MTHD INTERP_PNTS FCST_THRESH OBS_THRESH
COV_THRESH ALPHA LINE_TYPE TOTAL FBAR FBAR_NCL FBAR_NCU
FBAR_BCL FBAR_BCU FSTDEV FSTDEV_NCL FSTDEV_NCU FSTDEV_BCL
FSTDEV_BCU OBAR OBAR_NCL OBAR_NCU OBAR_BCL OBAR_BCU
OSTDEV OSTDEV_NCL OSTDEV_NCU OSTDEV_BCL OSTDEV_BCU PR_CORR
PR_CORR_NCL PR_CORR_NCU PR_CORR_BCL PR_CORR_BCU SP_CORR KT_CORR
RANKS FRANK_TIES ORANK_TIES ME ME_NCL ME_NCU ME_BCL
ME_BCU ESTDEV ESTDEV_NCL ESTDEV_NCU ESTDEV_BCL ESTDEV_BCU MBIAS
MBIAS_BCL MBIAS_BCU MAE MAE_BCL MAE_BCU MSE MSE_BCL
MSE_BCU BCMSE BCMSE_BCL BCMSE_BCU RMSE RMSE_BCL RMSE_BCU
E10 E10_BCL E10_BCU E25 E25_BCL E25_BCU E50
E50_BCL E50_BCU E75 E75_BCL E75_BCU E90 E90_BCL E90_BCU
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 TMP P775-625 TMP P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 290.70629 259.18300 322.22957 NA
NA 3.50857 1.56535 111.95916 NA NA
294.77223 267.10091 322.44355 NA NA 3.07985
1.37407 98.27838 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
-4.06595 -7.91791 -0.21398 NA NA 0.42873 0.19128
13.68077 NA NA 0.98621 NA NA 4.06595
NA NA 16.62383 NA NA 0.09190 NA NA
4.07723 NA NA -4.30847 NA NA -4.21753 NA
NA -4.06595 NA NA -3.91437 NA NA -3.82342
NA NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 TMP P875-775 TMP P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 63 294.00895 293.45204 294.56586 NA
NA 2.25532 1.91877 2.73633 NA NA
297.71490 297.08723 298.34258 NA NA 2.54191
2.16259 3.08404 NA NA 0.78985 0.67398
0.86779 NA NA 0.70052 0.53885 63 2
28 -3.70595 -4.09573 -3.31617 NA NA 1.57849
1.34294 1.91514 NA NA 0.98755 NA NA
3.70595 NA NA 16.18617 NA NA 2.45207 NA
NA 4.02320 NA NA -5.72945 NA NA
-4.67784 NA NA -3.86618 NA NA -2.67416 NA
NA -1.70837 NA NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 TMP P910-875 TMP P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 291.54220 NA NA NA
NA NA NA NA NA NA
294.04999 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -2.50778
NA NA NA NA NA NA NA NA
NA 0.99147 NA NA 2.50778 NA NA
6.28898 NA NA 0.00000 NA NA 2.50778
NA NA -2.50778 NA NA -2.50778 NA NA
-2.50778 NA NA -2.50778 NA NA -2.50778 NA
NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 HGT P625-425 HGT P625-425
AIRCFT FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 4462.08880 NA NA NA
NA NA NA NA NA NA
4267.00000 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 195.08880
NA NA NA NA NA NA NA NA
NA 1.04572 NA NA 195.08880 NA NA
38059.63810 NA NA 0.00000 NA NA
195.08880 NA NA 195.08880 NA NA 195.08880 NA
NA 195.08880 NA NA 195.08880 NA NA
195.08880 NA NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 HGT P775-625 HGT P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 2309.99211 2213.79714 2406.18707 NA
NA 10.70660 4.77674 341.64924 NA NA
2305.00000 2216.05657 2393.94343 NA NA 9.89949
4.41665 315.89446 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
4.99211 -2.25942 12.24364 NA NA 0.80710 0.36009
25.75478 NA NA 1.00217 NA NA 4.99211
NA NA 25.24684 NA NA 0.32571 NA NA
5.02462 NA NA 4.53554 NA NA 4.70675 NA
NA 4.99211 NA NA 5.27746 NA NA 5.44867
NA NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 HGT P875-775 HGT P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 65 1528.29415 1475.95402 1580.63428 NA
NA 215.29969 183.60083 260.34730 NA NA
1527.04769 1475.25177 1578.84362 NA NA 213.06110
181.69183 257.64032 NA NA 0.99940 0.99902
0.99964 NA NA 0.99486 0.95619 65 2
4 1.24646 -0.63344 3.12635 NA NA 7.73290
6.59437 9.35087 NA NA 1.00082 NA NA
5.94971 NA NA 60.43142 NA NA 58.87776 NA
NA 7.77376 NA NA -8.02318 NA NA
-3.26938 NA NA 0.68386 NA NA 5.74764 NA
NA 9.48709 NA NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 HGT P910-875 HGT P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 1186.83139 NA NA NA
NA NA NA NA NA NA
1565.81995 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -378.98855
NA NA NA NA NA NA NA NA
NA 0.75796 NA NA 378.98855 NA NA
143632.32239 NA NA 0.00000 NA NA
378.98855 NA NA -378.98855 NA NA -378.98855 NA
NA -378.98855 NA NA -378.98855 NA NA
-378.98855 NA NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 UGRD P775-625 UGRD P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 5.78516 1.32394 10.24639 NA
NA 0.49654 0.22153 15.84462 NA NA 2.93690
-28.35982 34.23361 NA NA 3.48336 1.55410
111.15446 NA NA -1.00000 NA NA NA
NA -1.00000 -1.00000 2 0 0 2.84827
-32.90967 38.60621 NA NA 3.97990 1.77563 126.99909 NA
NA 1.96982 NA NA 2.84827 NA NA
16.03242 NA NA 7.91978 NA NA 4.00405
NA NA 0.59690 NA NA 1.44116 NA NA
2.84827 NA NA 4.25538 NA NA 5.09964 NA
NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 VGRD P775-625 VGRD P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 2.88582 -15.06656 20.83820 NA
NA 1.99812 0.89146 63.76028 NA NA 1.32911
-5.92471 8.58294 NA NA 0.80736 0.36020
25.76293 NA NA 1.00000 NA NA NA
NA 1.00000 1.00000 2 0 0 1.55671
-9.14185 12.25527 NA NA 1.19076 0.53126 37.99735 NA
NA 2.17124 NA NA 1.55671 NA NA
3.13230 NA NA 0.70896 NA NA 1.76983
NA NA 0.88311 NA NA 1.13571 NA NA
1.55671 NA NA 1.97771 NA NA 2.23030 NA
NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 UGRD P875-775 UGRD P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 60 2.20214 1.66410 2.74017 NA
NA 2.12637 1.80235 2.59371 NA NA 0.95210
0.41132 1.49288 NA NA 2.13722 1.81155
2.60694 NA NA 0.42924 0.19676 0.61602 NA
NA 0.31365 0.22281 60 2 10 1.25004
0.67372 1.82636 NA NA 2.27767 1.93060 2.77827 NA
NA 2.31293 NA NA 2.03979 NA NA
6.66393 NA NA 5.10134 NA NA 2.58146
NA NA -1.54964 NA NA -0.36817 NA NA
1.13583 NA NA 2.59118 NA NA 4.61883 NA
NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 VGRD P875-775 VGRD P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 60 -0.24232 -0.82765 0.34301 NA
NA 2.31327 1.96077 2.82169 NA NA
-0.66145 -1.25059 -0.07232 NA NA 2.32831
1.97352 2.84004 NA NA 0.41581 0.18099
0.60577 NA NA 0.33747 0.23131 60 2
8 0.41913 -0.21563 1.05389 NA NA 2.50862
2.12635 3.05997 NA NA 0.36635 NA NA
1.93544 NA NA 6.36395 NA NA 6.18828 NA
NA 2.52269 NA NA -2.43768 NA NA
-1.47555 NA NA 0.04993 NA NA 1.43002 NA
NA 3.84869 NA NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 UGRD P910-875 UGRD P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 6.23114 NA NA NA
NA NA NA NA NA NA 4.83502
NA NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA 1 0 0 1.39612 NA NA
NA NA NA NA NA NA NA
1.28875 NA NA 1.39612 NA NA 1.94916 NA
NA 0.00000 NA NA 1.39612 NA NA
1.39612 NA NA 1.39612 NA NA 1.39612 NA
NA 1.39612 NA NA 1.39612 NA NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 VGRD P910-875 VGRD P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 -1.19306 NA NA NA
NA NA NA NA NA NA
-2.82535 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 1.63229
NA NA NA NA NA NA NA NA
NA 0.42227 NA NA 1.63229 NA NA
2.66439 NA NA 0.00000 NA NA 1.63229
NA NA 1.63229 NA NA 1.63229 NA NA
1.63229 NA NA 1.63229 NA NA 1.63229 NA
NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 DPT P775-625 DPT P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 271.43358 204.87691 337.99025 NA
NA 7.40783 3.30500 236.38489 NA NA
271.34428 188.04609 354.64248 NA NA 9.27117
4.13633 295.84463 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
0.08929 -16.65223 16.83081 NA NA 1.86335 0.83133
59.45974 NA NA 1.00033 NA NA 1.31759
NA NA 1.74401 NA NA 1.73603 NA NA
1.32061 NA NA -0.96477 NA NA -0.56950 NA
NA 0.08929 NA NA 0.74809 NA NA 1.14336
NA NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 DPT P875-775 DPT P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 59 278.13897 276.86482 279.41313 NA
NA 4.99344 4.22703 6.10238 NA NA
277.43086 276.10630 278.75543 NA NA 5.19100
4.39427 6.34381 NA NA 0.81459 0.70573
0.88588 NA NA 0.70013 0.51889 59 3
4 0.70811 -0.08458 1.50080 NA NA 3.10658
2.62977 3.79649 NA NA 1.00255 NA NA
2.44128 NA NA 9.98867 NA NA 9.48725 NA
NA 3.16049 NA NA -3.15613 NA NA
-1.05182 NA NA 0.83177 NA NA 2.54758 NA
NA 4.01397 NA NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 DPT P910-875 DPT P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 274.02824 NA NA NA
NA NA NA NA NA NA
276.22232 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -2.19408
NA NA NA NA NA NA NA NA
NA 0.99206 NA NA 2.19408 NA NA
4.81399 NA NA 0.00000 NA NA 2.19408
NA NA -2.19408 NA NA -2.19408 NA NA
-2.19408 NA NA -2.19408 NA NA -2.19408 NA
NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 WIND P775-625 WIND P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 6.62627 2.76899 10.48356 NA
NA 0.42932 0.19154 13.69966 NA NA 3.30929
-27.37891 33.99750 NA NA 3.41563 1.52388
108.99326 NA NA 1.00000 NA NA NA
NA 1.00000 1.00000 2 0 0 3.31698
-23.51395 30.14790 NA NA 2.98631 1.33234 95.29360 NA
NA 2.00232 NA NA 3.31698 NA NA
15.46135 NA NA 4.45902 NA NA 3.93209
NA NA 1.62766 NA NA 2.26116 NA NA
3.31698 NA NA 4.37280 NA NA 5.00629 NA
NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 WIND P875-775 WIND P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 61 3.35609 2.88273 3.82945 NA
NA 1.88628 1.60087 2.29665 NA NA 2.48750
1.93339 3.04160 NA NA 2.20805 1.87396
2.68843 NA NA 0.12835 -0.12759 0.36827 NA
NA 0.10814 0.06435 61 3 32 0.86859
0.18759 1.54960 NA NA 2.71374 2.30313 3.30412 NA
NA 1.34918 NA NA 2.33166 NA NA
7.99810 NA NA 7.24365 NA NA 2.82809
NA NA -2.69565 NA NA -0.95929 NA NA
1.22212 NA NA 2.37827 NA NA 4.01502 NA
NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 WIND P910-875 WIND P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 6.34689 NA NA NA
NA NA NA NA NA NA 5.60000
NA NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA 1 0 0 0.74689 NA NA
NA NA NA NA NA NA NA
1.13337 NA NA 0.74689 NA NA 0.55785 NA
NA 0.00000 NA NA 0.74689 NA NA
0.74689 NA NA 0.74689 NA NA 0.74689 NA
NA 0.74689 NA NA 0.74689 NA NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 RH P775-625 RH P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 30.80577 -163.34979 224.96133 NA
NA 21.60971 9.64116 689.56937 NA NA
24.45357 -147.67015 196.57729 NA NA 19.15755
8.54712 611.32034 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
6.35220 -15.67964 28.38404 NA NA 2.45217 1.09403
78.24903 NA NA 1.25977 NA NA 6.35220
NA NA 43.35702 NA NA 3.00656 NA NA
6.58460 NA NA 4.96505 NA NA 5.48523 NA
NA 6.35220 NA NA 7.21917 NA NA 7.73936
NA NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 RH P875-775 RH P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 60 38.60384 35.19726 42.01043 NA
NA 13.46315 11.41162 16.42214 NA NA
29.14339 26.36871 31.91807 NA NA 10.96580
9.29481 13.37591 NA NA 0.78056 0.65682
0.86337 NA NA 0.71204 0.53792 60 2
15 9.46045 7.32794 11.59296 NA NA 8.42790
7.14364 10.28022 NA NA 1.32462 NA NA
10.51963 NA NA 159.34581 NA NA 69.84567 NA
NA 12.62322 NA NA -1.64728 NA NA
3.14939 NA NA 9.12692 NA NA 14.86688 NA
NA 20.65504 NA NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 RH P910-875 RH P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 30.86585 NA NA NA
NA NA NA NA NA NA
31.10000 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -0.23415
NA NA NA NA NA NA NA NA
NA 0.99247 NA NA 0.23415 NA NA
0.05482 NA NA 0.00000 NA NA 0.23415
NA NA -0.23415 NA NA -0.23415 NA NA
-0.23415 NA NA -0.23415 NA NA -0.23415 NA
NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 TMP Z2 TMP Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 494 293.45136 293.08850 293.81423 NA
NA 4.11491 3.87332 4.38889 NA NA
294.60054 294.24354 294.95754 NA NA 4.04845
3.81076 4.31800 NA NA 0.90340 0.88578
0.91843 NA NA 0.88391 0.71126 494 50
242 -1.14918 -1.30748 -0.99087 NA NA 1.79521
1.68981 1.91474 NA NA 0.99610 NA NA
1.69423 NA NA 4.53686 NA NA 3.21625 NA
NA 2.12999 NA NA -3.36662 NA NA
-2.33974 NA NA -1.13874 NA NA -0.03607 NA
NA 1.01430 NA NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 UGRD Z10 UGRD Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 363 2.14665 1.93043 2.36286 NA
NA 2.10182 1.95924 2.26696 NA NA 1.28331
1.05653 1.51010 NA NA 2.20457 2.05501
2.37779 NA NA 0.45116 0.36519 0.52950 NA
NA 0.41203 0.29378 363 16 29 0.86334
0.63109 1.09558 NA NA 2.25760 2.10445 2.43499 NA
NA 1.67274 NA NA 1.79957 NA NA
5.82808 NA NA 5.08273 NA NA 2.41414
NA NA -1.65433 NA NA -0.64464 NA NA
0.56850 NA NA 2.11957 NA NA 3.82269 NA
NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 VGRD Z10 VGRD Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 363 -0.41247 -0.59195 -0.23298 NA
NA 1.74476 1.62640 1.88185 NA NA
-1.02273 -1.27645 -0.76901 NA NA 2.46635
2.29903 2.66013 NA NA 0.52125 0.44203
0.59240 NA NA 0.49240 0.34461 363 18
24 0.61026 0.38865 0.83188 NA NA 2.15430
2.00815 2.32357 NA NA 0.40330 NA NA
1.73904 NA NA 5.00064 NA NA 4.62822 NA
NA 2.23621 NA NA -2.03816 NA NA
-0.84483 NA NA 0.43390 NA NA 1.96483 NA
NA 3.41923 NA NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 DPT Z2 DPT Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 352 276.72681 276.15502 277.29861 NA
NA 5.47347 5.09678 5.91075 NA NA
274.93830 274.39758 275.47902 NA NA 5.17603
4.81982 5.58955 NA NA 0.80238 0.76174
0.83673 NA NA 0.78335 0.58279 352 34
34 1.78851 1.43757 2.13946 NA NA 3.35942
3.12823 3.62781 NA NA 1.00651 NA NA
3.01941 NA NA 14.45245 NA NA 11.25367 NA
NA 3.80164 NA NA -2.53022 NA NA
-0.47848 NA NA 1.79617 NA NA 3.81757 NA
NA 6.26789 NA NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 WIND Z10 WIND Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 367 3.02775 2.84782 3.20769 NA
NA 1.75875 1.64005 1.89612 NA NA 3.11440
2.91292 3.31589 NA NA 1.96934 1.83642
2.12316 NA NA 0.27088 0.17331 0.36318 NA
NA 0.25406 0.17542 367 16 135 -0.08665
-0.31759 0.14429 NA NA 2.25723 2.10488 2.43353 NA
NA 0.97218 NA NA 1.73068 NA NA
5.08870 NA NA 5.08119 NA NA 2.25582
NA NA -3.06885 NA NA -1.33922 NA NA
0.00257 NA NA 1.30538 NA NA 2.83671 NA
NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 RH Z2 RH Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 354 33.36959 32.05003 34.68915 NA
NA 12.66723 11.79777 13.67612 NA NA
27.06807 26.02092 28.11522 NA NA 10.05221
9.36224 10.85282 NA NA 0.76062 0.71291
0.80132 NA NA 0.75842 0.57470 354 33
179 6.30152 5.44377 7.15927 NA NA 8.23410
7.66893 8.88992 NA NA 1.23280 NA NA
7.76622 NA NA 107.31808 NA NA 67.60892 NA
NA 10.35944 NA NA -3.08797 NA NA
0.68361 NA NA 4.84723 NA NA 10.90655 NA
NA 18.34633 NA NA
V3.0 WRF 120000 20110626_180000 20110626_180000 000000
20110626_174000 20110626_182000 PRMSL Z0 PRMSL Z0
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 68 100995.46504 100966.62737 101024.30271 NA
NA 121.32952 103.81027 146.02617 NA NA
101449.90005 101291.85213 101607.94796 NA NA 664.95940
568.94325 800.31200 NA NA 0.42730 0.21030
0.60417 NA NA 0.24783 0.16431 68 3
18 -454.43501 -602.47453 -306.39549 NA NA 622.85082
532.91490 749.63221 NA NA 0.99552 NA NA
501.39134 NA NA 588749.26864 NA NA 382238.09343 NA
NA 767.29999 NA NA -713.26331 NA NA
-608.13022 NA NA -505.59514 NA NA -81.17221 NA
NA 109.11907 NA NA
------------------------------------------------
Subject: Rscript for box plots
From: Raby, John W USA CIV
Time: Mon Apr 16 10:17:56 2012
VERSION MODEL FCST_LEAD FCST_VALID_BEG FCST_VALID_END OBS_LEAD
OBS_VALID_BEG OBS_VALID_END FCST_VAR FCST_LEV OBS_VAR OBS_LEV
OBTYPE VX_MASK INTERP_MTHD INTERP_PNTS FCST_THRESH OBS_THRESH
COV_THRESH ALPHA LINE_TYPE TOTAL FBAR FBAR_NCL FBAR_NCU
FBAR_BCL FBAR_BCU FSTDEV FSTDEV_NCL FSTDEV_NCU FSTDEV_BCL
FSTDEV_BCU OBAR OBAR_NCL OBAR_NCU OBAR_BCL OBAR_BCU
OSTDEV OSTDEV_NCL OSTDEV_NCU OSTDEV_BCL OSTDEV_BCU PR_CORR
PR_CORR_NCL PR_CORR_NCU PR_CORR_BCL PR_CORR_BCU SP_CORR KT_CORR
RANKS FRANK_TIES ORANK_TIES ME ME_NCL ME_NCU ME_BCL
ME_BCU ESTDEV ESTDEV_NCL ESTDEV_NCU ESTDEV_BCL ESTDEV_BCU MBIAS
MBIAS_BCL MBIAS_BCU MAE MAE_BCL MAE_BCU MSE MSE_BCL
MSE_BCU BCMSE BCMSE_BCL BCMSE_BCU RMSE RMSE_BCL RMSE_BCU
E10 E10_BCL E10_BCU E25 E25_BCL E25_BCU E50
E50_BCL E50_BCU E75 E75_BCL E75_BCU E90 E90_BCL E90_BCU
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 TMP P775-625 TMP P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 291.96570 253.92603 330.00537 NA
NA 4.23385 1.88893 135.10295 NA NA
295.92223 253.63885 338.20560 NA NA 4.70618
2.09966 150.17506 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
-3.95653 -8.20024 0.28718 NA NA 0.47233 0.21073
15.07211 NA NA 0.98663 NA NA 3.95653
NA NA 15.76566 NA NA 0.11155 NA NA
3.97060 NA NA -4.22372 NA NA -4.12352 NA
NA -3.95653 NA NA -3.78953 NA NA -3.68934
NA NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 TMP P875-775 TMP P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 60 295.69151 295.07494 296.30808 NA
NA 2.43675 2.06543 2.97231 NA NA
299.78935 299.10996 300.46874 NA NA 2.68501
2.27586 3.27513 NA NA 0.83003 0.72995
0.89526 NA NA 0.66861 0.50577 60 0
29 -4.09784 -4.48039 -3.71529 NA NA 1.51189
1.28151 1.84418 NA NA 0.98633 NA NA
4.09784 NA NA 19.04000 NA NA 2.24772 NA
NA 4.36348 NA NA -5.77617 NA NA
-5.10957 NA NA -4.20774 NA NA -3.29658 NA
NA -2.22928 NA NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 TMP P910-875 TMP P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 293.40946 NA NA NA
NA NA NA NA NA NA
296.45001 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -3.04055
NA NA NA NA NA NA NA NA
NA 0.98974 NA NA 3.04055 NA NA
9.24494 NA NA 0.00000 NA NA 3.04055
NA NA -3.04055 NA NA -3.04055 NA NA
-3.04055 NA NA -3.04055 NA NA -3.04055 NA
NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 HGT P775-625 HGT P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 2310.96493 2260.01920 2361.91067 NA
NA 5.67031 2.52981 180.94056 NA NA
2305.00000 2216.05657 2393.94343 NA NA 9.89949
4.41665 315.89446 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
5.96493 -32.03277 43.96264 NA NA 4.22918 1.88685
134.95390 NA NA 1.00259 NA NA 5.96493
NA NA 44.52344 NA NA 8.94299 NA NA
6.67259 NA NA 3.57255 NA NA 4.46969 NA
NA 5.96493 NA NA 7.46018 NA NA 8.35732
NA NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 HGT P875-775 HGT P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 64 1529.61374 1476.27553 1582.95195 NA
NA 217.71099 185.44248 263.69764 NA NA
1525.49063 1472.76692 1578.21433 NA NA 215.20274
183.30600 260.65958 NA NA 0.99936 0.99894
0.99961 NA NA 0.99356 0.95257 64 1
4 4.12311 2.12933 6.11690 NA NA 8.13805
6.93185 9.85703 NA NA 1.00270 NA NA
6.94600 NA NA 82.19308 NA NA 65.19300 NA
NA 9.06604 NA NA -5.13966 NA NA
-1.42539 NA NA 3.22560 NA NA 8.76961 NA
NA 13.60484 NA NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 HGT P910-875 HGT P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 1187.01912 NA NA NA
NA NA NA NA NA NA
1565.81995 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -378.80083
NA NA NA NA NA NA NA NA
NA 0.75808 NA NA 378.80083 NA NA
143490.06556 NA NA 0.00000 NA NA
378.80083 NA NA -378.80083 NA NA -378.80083 NA
NA -378.80083 NA NA -378.80083 NA NA
-378.80083 NA NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 UGRD P775-625 UGRD P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 7.55587 -0.17262 15.28436 NA
NA 0.86019 0.38377 27.44876 NA NA 2.00000
-23.41241 27.41241 NA NA 2.82843 1.26190
90.25556 NA NA -1.00000 NA NA NA
NA -1.00000 -1.00000 2 0 0 5.55587
-27.58502 38.69677 NA NA 3.68862 1.64567 117.70432 NA
NA 3.77794 NA NA 5.55587 NA NA
37.67068 NA NA 6.80294 NA NA 6.13764
NA NA 3.46928 NA NA 4.25175 NA NA
5.55587 NA NA 6.86000 NA NA 7.64247 NA
NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 VGRD P775-625 VGRD P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 2.07584 -24.80050 28.95219 NA
NA 2.99136 1.33459 95.45493 NA NA 1.95296
-34.22211 38.12803 NA NA 4.02632 1.79634
128.48060 NA NA 1.00000 NA NA NA
NA 1.00000 1.00000 2 0 0 0.12288
-9.17584 9.42161 NA NA 1.03496 0.46175 33.02567 NA
NA 1.06292 NA NA 0.73183 NA NA
0.55067 NA NA 0.53557 NA NA 0.74207
NA NA -0.46258 NA NA -0.24303 NA NA
0.12288 NA NA 0.48880 NA NA 0.70834 NA
NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 UGRD P875-775 UGRD P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 56 2.88529 2.20659 3.56399 NA
NA 2.59135 2.18466 3.18579 NA NA 1.49653
0.85647 2.13660 NA NA 2.44383 2.06029
3.00443 NA NA 0.61819 0.42424 0.75791 NA
NA 0.42678 0.29574 56 1 2 1.38876
0.81150 1.96601 NA NA 2.20400 1.85810 2.70959 NA
NA 1.92798 NA NA 2.05703 NA NA
6.69951 NA NA 4.77087 NA NA 2.58834
NA NA -1.35247 NA NA -0.07944 NA NA
1.21079 NA NA 2.85621 NA NA 4.24632 NA
NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 VGRD P875-775 VGRD P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 56 -0.91458 -1.67836 -0.15080 NA
NA 2.91618 2.45851 3.58514 NA NA
-0.67759 -1.23206 -0.12312 NA NA 2.11701
1.78476 2.60265 NA NA 0.39958 0.15273
0.59951 NA NA 0.31728 0.22425 56 1
5 -0.23699 -0.98020 0.50621 NA NA 2.83763
2.39228 3.48856 NA NA 1.34976 NA NA
2.25536 NA NA 7.96450 NA NA 7.90833 NA
NA 2.82214 NA NA -3.98644 NA NA
-1.99444 NA NA -0.27215 NA NA 1.51946 NA
NA 3.80152 NA NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 UGRD P910-875 UGRD P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 5.94504 NA NA NA
NA NA NA NA NA NA 6.87428
NA NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA 1 0 0 -0.92924 NA NA
NA NA NA NA NA NA NA
0.86482 NA NA 0.92924 NA NA 0.86348 NA
NA 0.00000 NA NA 0.92924 NA NA
-0.92924 NA NA -0.92924 NA NA -0.92924 NA
NA -0.92924 NA NA -0.92924 NA NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 VGRD P910-875 VGRD P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 -3.23322 NA NA NA
NA NA NA NA NA NA
-2.14110 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -1.09212
NA NA NA NA NA NA NA NA
NA 1.51008 NA NA 1.09212 NA NA
1.19274 NA NA 0.00000 NA NA 1.09212
NA NA -1.09212 NA NA -1.09212 NA NA
-1.09212 NA NA -1.09212 NA NA -1.09212 NA
NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 DPT P775-625 DPT P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 269.37157 209.73882 329.00431 NA
NA 6.63719 2.96117 211.79364 NA NA
272.26694 191.37423 353.15964 NA NA 9.00344
4.01688 287.30123 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
-2.89537 -24.15533 18.36459 NA NA 2.36626 1.05570
75.50759 NA NA 0.98937 NA NA 2.89537
NA NA 11.18276 NA NA 2.79958 NA NA
3.34406 NA NA -4.23393 NA NA -3.73197 NA
NA -2.89537 NA NA -2.05877 NA NA -1.55682
NA NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 DPT P875-775 DPT P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 55 276.35922 275.04067 277.67777 NA
NA 4.98919 4.20014 6.14662 NA NA
275.98022 274.73903 277.22141 NA NA 4.69648
3.95372 5.78601 NA NA 0.79652 0.67356
0.87658 NA NA 0.68212 0.50506 55 0
4 0.37900 -0.44076 1.19875 NA NA 3.10183
2.61126 3.82141 NA NA 1.00137 NA NA
2.47268 NA NA 9.59002 NA NA 9.44639 NA
NA 3.09678 NA NA -3.66507 NA NA
-1.60838 NA NA 0.15506 NA NA 2.99155 NA
NA 4.06503 NA NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 DPT P910-875 DPT P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 274.98798 NA NA NA
NA NA NA NA NA NA
275.46512 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -0.47714
NA NA NA NA NA NA NA NA
NA 0.99827 NA NA 0.47714 NA NA
0.22766 NA NA 0.00000 NA NA 0.47714
NA NA -0.47714 NA NA -0.47714 NA NA
-0.47714 NA NA -0.47714 NA NA -0.47714 NA
NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 WIND P775-625 WIND P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 8.13995 7.81143 8.46847 NA
NA 0.03656 0.01631 1.16677 NA NA 3.57114
-30.44413 37.58641 NA NA 3.78593 1.68909
120.80977 NA NA -1.00000 NA NA NA
NA -1.00000 -1.00000 2 0 0 4.56881
-29.77498 38.91260 NA NA 3.82250 1.70540 121.97654 NA
NA 2.27937 NA NA 4.56881 NA NA
28.17978 NA NA 7.30575 NA NA 5.30846
NA NA 2.40648 NA NA 3.21735 NA NA
4.56881 NA NA 5.92027 NA NA 6.73114 NA
NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 WIND P875-775 WIND P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 57 4.45005 3.92143 4.97868 NA
NA 2.03628 1.71911 2.49828 NA NA 2.94179
2.41246 3.47111 NA NA 2.03898 1.72139
2.50159 NA NA 0.39323 0.14781 0.59304 NA
NA 0.33593 0.23924 57 1 29 1.50827
0.92554 2.09099 NA NA 2.24467 1.89504 2.75395 NA
NA 1.51270 NA NA 2.17634 NA NA
7.22502 NA NA 4.95015 NA NA 2.68794
NA NA -1.37696 NA NA 0.17460 NA NA
1.52560 NA NA 2.63721 NA NA 4.46589 NA
NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 WIND P910-875 WIND P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 6.76915 NA NA NA
NA NA NA NA NA NA 7.20000
NA NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA 1 0 0 -0.43084 NA NA
NA NA NA NA NA NA NA
0.94016 NA NA 0.43084 NA NA 0.18563 NA
NA 0.00000 NA NA 0.43084 NA NA
-0.43084 NA NA -0.43084 NA NA -0.43084 NA
NA -0.43084 NA NA -0.43084 NA NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 RH P775-625 RH P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 2 24.42035 -128.57889 177.41960 NA
NA 17.02897 7.59746 543.39722 NA NA
25.16351 -163.35200 213.67901 NA NA 20.98197
9.36109 669.53795 NA NA 1.00000 NA NA
NA NA 1.00000 1.00000 2 0 0
-0.74315 -36.25941 34.77311 NA NA 3.95300 1.76363
126.14073 NA NA 0.97047 NA NA 2.79519
NA NA 8.36537 NA NA 7.81309 NA NA
2.89229 NA NA -2.97931 NA NA -2.14075 NA
NA -0.74315 NA NA 0.65444 NA NA 1.49300
NA NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 RH P875-775 RH P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 55 30.38284 27.46673 33.29895 NA
NA 11.03411 9.28903 13.59389 NA NA
22.67105 20.50952 24.83258 NA NA 8.17888
6.88537 10.07629 NA NA 0.73917 0.58946
0.83978 NA NA 0.66685 0.51384 55 0
18 7.71179 5.74772 9.67586 NA NA 7.43173
6.25639 9.15581 NA NA 1.34016 NA NA
8.89870 NA NA 113.69815 NA NA 54.22649 NA
NA 10.66293 NA NA -0.62340 NA NA
2.79571 NA NA 7.97478 NA NA 12.73570 NA
NA 16.80185 NA NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 RH P910-875 RH P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 29.45460 NA NA NA
NA NA NA NA NA NA
25.40000 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 4.05460
NA NA NA NA NA NA NA NA
NA 1.15963 NA NA 4.05460 NA NA
16.43978 NA NA 0.00000 NA NA 4.05460
NA NA 4.05460 NA NA 4.05460 NA NA
4.05460 NA NA 4.05460 NA NA 4.05460 NA
NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 TMP Z2 TMP Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 518 294.64641 294.27037 295.02245 NA
NA 4.36665 4.11595 4.65012 NA NA
296.14220 295.73531 296.54909 NA NA 4.72493
4.45366 5.03166 NA NA 0.92429 0.91065
0.93591 NA NA 0.90491 0.74218 518 42
231 -1.49579 -1.65110 -1.34048 NA NA 1.80349
1.69994 1.92056 NA NA 0.99495 NA NA
1.85148 NA NA 5.48367 NA NA 3.24628 NA
NA 2.34172 NA NA -3.68322 NA NA
-2.54500 NA NA -1.38168 NA NA -0.35826 NA
NA 0.53009 NA NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 UGRD Z10 UGRD Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 354 2.68946 2.44241 2.93650 NA
NA 2.37157 2.20879 2.56046 NA NA 1.94045
1.67511 2.20578 NA NA 2.54712 2.37229
2.74999 NA NA 0.59840 0.52704 0.66139 NA
NA 0.55339 0.39625 354 15 24 0.74901
0.51882 0.97919 NA NA 2.20967 2.05800 2.38566 NA
NA 1.38600 NA NA 1.79713 NA NA
5.42986 NA NA 4.86884 NA NA 2.33021
NA NA -1.88434 NA NA -0.81738 NA NA
0.59369 NA NA 2.05577 NA NA 3.52427 NA
NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 VGRD Z10 VGRD Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 354 -1.18706 -1.41117 -0.96294 NA
NA 2.15138 2.00371 2.32273 NA NA
-1.12360 -1.38660 -0.86060 NA NA 2.52468
2.35139 2.72576 NA NA 0.56147 0.48565
0.62889 NA NA 0.49969 0.35424 354 15
22 -0.06346 -0.29413 0.16721 NA NA 2.21432
2.06233 2.39068 NA NA 1.05648 NA NA
1.73505 NA NA 4.89338 NA NA 4.88935 NA
NA 2.21210 NA NA -2.81172 NA NA
-1.39512 NA NA 0.01359 NA NA 1.21205 NA
NA 2.61063 NA NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 DPT Z2 DPT Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 342 275.31603 274.76196 275.87011 NA
NA 5.22799 4.86334 5.65223 NA NA
273.96340 273.47284 274.45396 NA NA 4.62870
4.30585 5.00431 NA NA 0.78714 0.74312
0.82438 NA NA 0.76959 0.57276 342 26
38 1.35263 1.00659 1.69868 NA NA 3.26512
3.03737 3.53007 NA NA 1.00494 NA NA
2.84291 NA NA 12.45944 NA NA 10.62982 NA
NA 3.52979 NA NA -2.70996 NA NA
-0.85022 NA NA 1.31708 NA NA 3.53835 NA
NA 5.65566 NA NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 WIND Z10 WIND Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 357 4.00679 3.83188 4.18169 NA
NA 1.68614 1.57086 1.81982 NA NA 3.65888
3.44242 3.87534 NA NA 2.08673 1.94406
2.25217 NA NA 0.48997 0.40686 0.56503 NA
NA 0.44185 0.30999 357 17 139 0.34791
0.14704 0.54877 NA NA 1.93639 1.80400 2.08991 NA
NA 1.09509 NA NA 1.53401 NA NA
3.86013 NA NA 3.73909 NA NA 1.96472
NA NA -2.11240 NA NA -0.89978 NA NA
0.27899 NA NA 1.49752 NA NA 2.92935 NA
NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 RH Z2 RH Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 344 28.03777 26.84218 29.23336 NA
NA 11.31391 10.52690 12.22911 NA NA
22.61765 21.71042 23.52488 NA NA 8.58516
7.98796 9.27962 NA NA 0.70999 0.65330
0.75877 NA NA 0.73393 0.55210 344 26
175 5.42012 4.57616 6.26409 NA NA 7.98646
7.43091 8.63249 NA NA 1.23964 NA NA
7.21555 NA NA 92.97584 NA NA 63.59810 NA
NA 9.64240 NA NA -2.67296 NA NA
0.46344 NA NA 3.86180 NA NA 10.65613 NA
NA 16.58436 NA NA
V3.0 WRF 150000 20110626_210000 20110626_210000 000000
20110626_204000 20110626_212000 PRMSL Z0 PRMSL Z0
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 65 100946.30158 100909.64743 100982.95573 NA
NA 150.77582 128.57690 182.32297 NA NA
101409.66526 101240.75014 101578.58039 NA NA 694.82770
592.52730 840.20796 NA NA 0.43995 0.21962
0.61758 NA NA 0.35850 0.26412 65 2
17 -463.36368 -619.65825 -307.06912 NA NA 642.91338
548.25639 777.43150 NA NA 0.99543 NA NA
515.71801 NA NA 621684.47438 NA NA 406978.57019 NA
NA 788.46970 NA NA -736.73319 NA NA
-630.60696 NA NA -522.50741 NA NA -124.24184 NA
NA 117.51772 NA NA
------------------------------------------------
Subject: Rscript for box plots
From: Raby, John W USA CIV
Time: Mon Apr 16 10:17:56 2012
VERSION MODEL FCST_LEAD FCST_VALID_BEG FCST_VALID_END OBS_LEAD
OBS_VALID_BEG OBS_VALID_END FCST_VAR FCST_LEV OBS_VAR OBS_LEV
OBTYPE VX_MASK INTERP_MTHD INTERP_PNTS FCST_THRESH OBS_THRESH
COV_THRESH ALPHA LINE_TYPE TOTAL FBAR FBAR_NCL FBAR_NCU
FBAR_BCL FBAR_BCU FSTDEV FSTDEV_NCL FSTDEV_NCU FSTDEV_BCL
FSTDEV_BCU OBAR OBAR_NCL OBAR_NCU OBAR_BCL OBAR_BCU
OSTDEV OSTDEV_NCL OSTDEV_NCU OSTDEV_BCL OSTDEV_BCU PR_CORR
PR_CORR_NCL PR_CORR_NCU PR_CORR_BCL PR_CORR_BCU SP_CORR KT_CORR
RANKS FRANK_TIES ORANK_TIES ME ME_NCL ME_NCU ME_BCL
ME_BCU ESTDEV ESTDEV_NCL ESTDEV_NCU ESTDEV_BCL ESTDEV_BCU MBIAS
MBIAS_BCL MBIAS_BCU MAE MAE_BCL MAE_BCU MSE MSE_BCL
MSE_BCU BCMSE BCMSE_BCL BCMSE_BCU RMSE RMSE_BCL RMSE_BCU
E10 E10_BCL E10_BCU E25 E25_BCL E25_BCU E50
E50_BCL E50_BCU E75 E75_BCL E75_BCU E90 E90_BCL E90_BCU
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 TMP P225-100 TMP P225-100
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 26 215.36840 214.26305 216.47374 NA
NA 2.73663 2.14622 3.77766 NA NA
213.98846 213.16567 214.81125 NA NA 2.03707
1.59759 2.81199 NA NA 0.34651 -0.06786
0.65893 NA NA 0.20333 0.15363 26 0
8 1.37993 0.25366 2.50621 NA NA 2.78844
2.18685 3.84918 NA NA 1.00645 NA NA
2.51547 NA NA 9.38055 NA NA 7.47633 NA
NA 3.06277 NA NA -2.00370 NA NA
-0.91214 NA NA 1.17697 NA NA 3.80247 NA
NA 5.41522 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 TMP P425-225 TMP P425-225
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 12 239.83658 233.58993 246.08324 NA
NA 9.83153 6.96461 16.69273 NA NA
238.88334 231.88853 245.87814 NA NA 11.00903
7.79874 18.69199 NA NA 0.99901 0.99572
0.99977 NA NA 0.98594 0.94599 12 0
2 0.95325 0.14947 1.75703 NA NA 1.26506
0.89617 2.14793 NA NA 1.00399 NA NA
1.32075 NA NA 2.37571 NA NA 1.46702 NA
NA 1.54133 NA NA -0.63577 NA NA
-0.26964 NA NA 1.24766 NA NA 1.70557 NA
NA 2.32756 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 TMP P625-425 TMP P625-425
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 21 265.70210 263.71902 267.68518 NA
NA 4.35655 3.33302 6.29116 NA NA
266.05000 264.13656 267.96344 NA NA 4.20357
3.21598 6.07024 NA NA 0.99585 0.98894
0.99845 NA NA 0.96451 0.89601 21 0
5 -0.34790 -0.53857 -0.15723 NA NA 0.41888
0.32047 0.60489 NA NA 0.99869 NA NA
0.46941 NA NA 0.28814 NA NA 0.16711 NA
NA 0.53679 NA NA -0.82111 NA NA
-0.67248 NA NA -0.48683 NA NA 0.04222 NA
NA 0.20382 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 TMP P775-625 TMP P775-625
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 4 279.60451 275.36480 283.84422 NA
NA 2.66443 1.50937 9.93446 NA NA
280.12500 275.84075 284.40925 NA NA 2.69243
1.52523 10.03885 NA NA 0.98699 -0.58374
0.99998 NA NA 1.00000 1.00000 4 0
0 -0.52049 -1.20942 0.16843 NA NA 0.43295
0.24526 1.61429 NA NA 0.99814 NA NA
0.53095 NA NA 0.41150 NA NA 0.14059 NA
NA 0.64148 NA NA -0.90063 NA NA
-0.80692 NA NA -0.56989 NA NA -0.28345 NA
NA -0.10083 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 TMP P775-625 TMP P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 289.01122 273.62032 304.40211 NA
NA 6.19567 3.22583 38.93814 NA NA
290.77962 271.04196 310.51729 NA NA 7.94548
4.13688 49.93523 NA NA 0.99708 NA NA
NA NA 1.00000 1.00000 3 0 0
-1.76841 -6.31471 2.77790 NA NA 1.83013 0.95287
11.50191 NA NA 0.99392 NA NA 1.95592
NA NA 5.36019 NA NA 2.23293 NA NA
2.31521 NA NA -3.06058 NA NA -2.79324 NA
NA -2.34768 NA NA -1.03321 NA NA -0.24452
NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 TMP P875-775 TMP P875-775
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 7 294.72713 292.74971 296.70455 NA
NA 2.13810 1.37778 4.70825 NA NA
296.83572 293.67386 299.99757 NA NA 3.41879
2.20305 7.52840 NA NA 0.92510 0.37983
0.99329 NA NA 0.96429 0.90476 7 0
0 -2.10858 -3.63811 -0.57906 NA NA 1.65382
1.06571 3.64181 NA NA 0.99290 NA NA
2.10858 NA NA 6.79050 NA NA 2.34438 NA
NA 2.60586 NA NA -4.44952 NA NA
-2.94038 NA NA -1.37406 NA NA -1.07983 NA
NA -0.84318 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 TMP P875-775 TMP P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 60 296.47496 295.84574 297.10419 NA
NA 2.48677 2.10783 3.03332 NA NA
300.00083 299.27813 300.72354 NA NA 2.85621
2.42098 3.48397 NA NA 0.90079 0.83870
0.93976 NA NA 0.80535 0.65142 60 1
27 -3.52587 -3.84047 -3.21127 NA NA 1.24332
1.05386 1.51659 NA NA 0.98825 NA NA
3.52587 NA NA 13.95186 NA NA 1.52009 NA
NA 3.73522 NA NA -5.04769 NA NA
-4.19098 NA NA -3.47460 NA NA -2.73155 NA
NA -1.94858 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 TMP P910-875 TMP P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 293.83740 NA NA NA
NA NA NA NA NA NA
297.04999 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -3.21259
NA NA NA NA NA NA NA NA
NA 0.98919 NA NA 3.21259 NA NA
10.32071 NA NA 0.00000 NA NA 3.21259
NA NA -3.21259 NA NA -3.21259 NA NA
-3.21259 NA NA -3.21259 NA NA -3.21259 NA
NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 HGT P225-100 HGT P225-100
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 16 14433.82187 13574.65067 15292.99307 NA
NA 1612.36976 1191.06538 2495.45053 NA NA
14410.93750 13549.66893 15272.20607 NA NA 1616.30581
1193.97295 2501.54231 NA NA 0.99999 NA NA
NA NA 0.99632 0.97895 16 0 5
22.88437 19.16740 26.60134 NA NA 6.97548 5.15282
10.79588 NA NA 1.00159 NA NA 22.88437
NA NA 569.31061 NA NA 45.61618 NA NA
23.86023 NA NA 16.57324 NA NA 18.16564 NA
NA 20.21721 NA NA 27.28833 NA NA 32.70917
NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 HGT P425-225 HGT P425-225
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 12 8965.24635 8183.26392 9747.22879 NA
NA 1230.75188 871.85866 2089.66656 NA NA
8972.50000 8193.73982 9751.26018 NA NA 1225.68040
868.26606 2081.05582 NA NA 0.99999 NA NA
NA NA 0.99298 0.96922 12 0 4
-7.25365 -11.57102 -2.93627 NA NA 6.79507 4.81359
11.53719 NA NA 0.99919 NA NA 8.77182
NA NA 94.94055 NA NA 42.32517 NA NA
9.74374 NA NA -14.26867 NA NA -12.35447 NA
NA -7.78228 NA NA -4.91233 NA NA 2.83148
NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 HGT P625-425 HGT P625-425
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 10 5419.99554 4857.75694 5982.23415 NA
NA 785.95537 540.60778 1434.84813 NA NA
5427.20000 4865.40559 5988.99441 NA NA 785.33444
540.18067 1433.71454 NA NA 1.00000 NA NA
NA NA 0.98780 0.95452 10 0 4
-7.20446 -8.31933 -6.08958 NA NA 1.55848 1.07198
2.84518 NA NA 0.99867 NA NA 7.20446
NA NA 54.09016 NA NA 2.18598 NA NA
7.35460 NA NA -8.82736 NA NA -8.25299 NA
NA -7.24642 NA NA -6.34077 NA NA -5.74621
NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 HGT P775-625 HGT P775-625
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 9 3023.79347 2661.37677 3386.21016 NA
NA 471.48662 318.46895 903.26033 NA NA
3032.00000 2669.61031 3394.38969 NA NA 471.45148
318.44522 903.19302 NA NA 1.00000 NA NA
NA NA 0.97054 0.89940 9 0 3
-8.20653 -8.86719 -7.54587 NA NA 0.85949 0.58055
1.64658 NA NA 0.99729 NA NA 8.20653
NA NA 68.00379 NA NA 0.65664 NA NA
8.24644 NA NA -8.98870 NA NA -8.68751 NA
NA -8.25814 NA NA -7.92000 NA NA -7.48729
NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 HGT P775-625 HGT P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 2450.21644 1819.85083 3080.58205 NA
NA 253.75631 132.12032 1594.79106 NA NA
2447.00000 1835.77591 3058.22409 NA NA 246.05081
128.10839 1546.36405 NA NA 0.99998 NA NA
NA NA 1.00000 1.00000 3 0 0
3.21644 -16.31617 22.74905 NA NA 7.86293 4.09390
49.41646 NA NA 1.00131 NA NA 4.96574
NA NA 51.56264 NA NA 41.21716 NA NA
7.18071 NA NA -2.07588 NA NA -1.25377 NA
NA 0.11641 NA NA 6.13664 NA NA 9.74877
NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 HGT P875-775 HGT P875-775
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 8 1714.37852 1454.83052 1973.92652 NA
NA 310.45634 205.26571 631.86313 NA NA
1721.37500 1460.38151 1982.36849 NA NA 312.18536
206.40889 635.38214 NA NA 0.99999 NA NA
NA NA 0.98802 0.96362 8 0 2
-6.99648 -8.86651 -5.12645 NA NA 2.23682 1.47893
4.55255 NA NA 0.99594 NA NA 6.99648
NA NA 53.32868 NA NA 4.37796 NA NA
7.30265 NA NA -8.86379 NA NA -8.25985 NA
NA -7.63334 NA NA -6.22395 NA NA -4.87376
NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 HGT P875-775 HGT P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 64 1524.89913 1471.49993 1578.29832 NA
NA 217.95990 185.65450 263.99912 NA NA
1525.49063 1472.76692 1578.21433 NA NA 215.20274
183.30600 260.65958 NA NA 0.99932 0.99888
0.99959 NA NA 0.99301 0.94860 64 1
4 -0.59150 -2.65567 1.47268 NA NA 8.42537
7.17658 10.20504 NA NA 0.99961 NA NA
6.34564 NA NA 70.22749 NA NA 69.87762 NA
NA 8.38018 NA NA -10.34644 NA NA
-5.38961 NA NA -0.63577 NA NA 3.43909 NA
NA 9.73020 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 HGT P910-875 HGT P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 1194.13996 NA NA NA
NA NA NA NA NA NA
1565.81995 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -371.67998
NA NA NA NA NA NA NA NA
NA 0.76263 NA NA 371.67998 NA NA
138146.00912 NA NA 0.00000 NA NA
371.67998 NA NA -371.67998 NA NA -371.67998 NA
NA -371.67998 NA NA -371.67998 NA NA
-371.67998 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 HGT P1010-910 HGT P1010-910
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 4 391.18126 -240.00075 1022.36326 NA
NA 396.66467 224.70639 1478.98296 NA NA
399.50000 -234.41489 1033.41489 NA NA 398.38214
225.67932 1485.38666 NA NA 0.99977 0.87254
1.00000 NA NA 0.60000 0.33333 4 0
0 -8.31874 -22.28044 5.64296 NA NA 8.77419
4.97049 32.71499 NA NA 0.97918 NA NA
9.29217 NA NA 126.94134 NA NA 57.73985 NA
NA 11.26682 NA NA -15.65388 NA NA
-15.58439 NA NA -9.76081 NA NA -2.49517 NA
NA 0.17005 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 UGRD P225-100 UGRD P225-100
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 21 21.34928 19.89046 22.80810 NA
NA 3.20483 2.45188 4.62799 NA NA
25.30476 22.43189 28.17763 NA NA 6.31130
4.82852 9.11395 NA NA 0.77869 0.50080
0.91106 NA NA 0.82938 0.62831 21 0
3 -3.95548 -5.91878 -1.99219 NA NA 4.31309
3.29977 6.22840 NA NA 0.84369 NA NA
4.44249 NA NA 33.36274 NA NA 17.71690 NA
NA 5.77605 NA NA -9.85839 NA NA
-6.35100 NA NA -2.74748 NA NA -1.39450 NA
NA 0.71317 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 VGRD P225-100 VGRD P225-100
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 21 2.65909 2.12031 3.19786 NA
NA 1.18362 0.90554 1.70922 NA NA
2.33810 1.07699 3.59920 NA NA 2.77047
2.11957 4.00074 NA NA 0.61046 0.21459
0.83406 NA NA 0.65622 0.48673 21 0
7 0.32099 -0.70424 1.34623 NA NA 2.25230
1.72314 3.25247 NA NA 1.13729 NA NA
1.79003 NA NA 4.93432 NA NA 4.83128 NA
NA 2.22133 NA NA -2.13629 NA NA
-1.17066 NA NA 0.32524 NA NA 2.20466 NA
NA 2.93183 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 UGRD P425-225 UGRD P425-225
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 12 21.39317 18.94420 23.84215 NA
NA 3.85441 2.73045 6.54432 NA NA
20.95833 18.96904 22.94762 NA NA 3.13092
2.21793 5.31592 NA NA 0.92169 0.69958
0.98139 NA NA 0.79579 0.63583 12 0
2 0.43484 -0.55224 1.42191 NA NA 1.55354
1.10052 2.63772 NA NA 1.02075 NA NA
1.32496 NA NA 2.40145 NA NA 2.21236 NA
NA 1.54966 NA NA -1.13966 NA NA
-0.68672 NA NA 0.41479 NA NA 1.58636 NA
NA 2.34119 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 VGRD P425-225 VGRD P425-225
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 12 -0.08199 -1.69015 1.52617 NA
NA 2.53106 1.79299 4.29743 NA NA
-0.05000 -1.03338 0.93338 NA NA 1.54773
1.09640 2.62785 NA NA 0.53152 -0.14047
0.86825 NA NA 0.60959 0.52223 12 0
6 -0.03199 -1.40023 1.33626 NA NA 2.15346
1.52550 3.65631 NA NA 1.63972 NA NA
1.90829 NA NA 4.25196 NA NA 4.25094 NA
NA 2.06203 NA NA -2.15193 NA NA
-1.71459 NA NA -0.55771 NA NA 1.74292 NA
NA 2.65556 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 UGRD P625-425 UGRD P625-425
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 10 13.86043 10.33168 17.38919 NA
NA 4.93286 3.39300 9.00548 NA NA
14.08000 9.91973 18.24026 NA NA 5.81565
4.00021 10.61711 NA NA 0.96716 0.83097
0.99398 NA NA 0.89362 0.76409 10 0
1 -0.21957 -1.38711 0.94797 NA NA 1.63211
1.12262 2.97960 NA NA 0.98441 NA NA
1.31510 NA NA 2.44562 NA NA 2.39741 NA
NA 1.56385 NA NA -2.00423 NA NA
-1.21320 NA NA -0.24865 NA NA 0.65870 NA
NA 1.51702 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 VGRD P625-425 VGRD P625-425
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 10 1.41808 0.13912 2.69705 NA
NA 1.78787 1.22976 3.26396 NA NA
0.85000 -0.38409 2.08409 NA NA 1.72514
1.18661 3.14943 NA NA 0.35961 -0.44511
0.84300 NA NA 0.24618 0.16297 10 0
3 0.56808 -0.85444 1.99060 NA NA 1.98854
1.36779 3.63031 NA NA 1.66833 NA NA
1.34380 NA NA 3.88159 NA NA 3.55887 NA
NA 1.97018 NA NA -1.53167 NA NA
-0.31203 NA NA -0.06063 NA NA 1.44927 NA
NA 2.01110 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 UGRD P775-625 UGRD P775-625
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 9 4.93712 2.95796 6.91628 NA
NA 2.57479 1.73916 4.93271 NA NA
4.85556 3.56582 6.14529 NA NA 1.67788
1.13334 3.21443 NA NA 0.72710 -0.01887
0.95304 NA NA 0.76473 0.62883 9 0
2 0.08156 -1.28537 1.44849 NA NA 1.77831
1.20117 3.40684 NA NA 1.01680 NA NA
1.41551 NA NA 2.81767 NA NA 2.81101 NA
NA 1.67859 NA NA -2.16106 NA NA
-1.44908 NA NA 0.20077 NA NA 1.16574 NA
NA 2.29535 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 UGRD P775-625 UGRD P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 5.76366 2.48869 9.03863 NA
NA 1.31835 0.68641 8.28550 NA NA
1.63175 -5.39861 8.66211 NA NA 2.83010
1.47352 17.78643 NA NA 0.94798 NA NA
NA NA 1.00000 1.00000 3 0 0
4.13191 0.07011 8.19372 NA NA 1.63510 0.85133
10.27616 NA NA 3.53220 NA NA 4.13191
NA NA 18.85507 NA NA 1.78236 NA NA
4.34224 NA NA 2.80646 NA NA 3.65016 NA
NA 5.05632 NA NA 5.07587 NA NA 5.08760
NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 VGRD P775-625 VGRD P775-625
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 9 -0.94850 -2.17953 0.28254 NA
NA 1.60151 1.08175 3.06813 NA NA
-0.95556 -2.47604 0.56493 NA NA 1.97807
1.33610 3.78954 NA NA 0.53093 -0.33636
0.91091 NA NA 0.38333 0.27778 9 0
0 0.00706 -1.34932 1.36344 NA NA 1.76458
1.19190 3.38053 NA NA 0.99261 NA NA
1.36356 NA NA 2.76783 NA NA 2.76778 NA
NA 1.66368 NA NA -1.58434 NA NA
-1.20730 NA NA -0.02600 NA NA 1.12577 NA
NA 1.62146 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 VGRD P775-625 VGRD P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 -1.72837 -10.11982 6.66308 NA
NA 3.37801 1.75879 21.22991 NA NA
1.22438 -4.80513 7.25388 NA NA 2.42720
1.26374 15.25433 NA NA 0.93606 NA NA
NA NA 0.50000 0.33333 3 0 0
-2.95275 -6.42385 0.51835 NA NA 1.39731 0.72752
8.78170 NA NA -1.41163 NA NA 2.95275
NA NA 10.02036 NA NA 1.30164 NA NA
3.16550 NA NA -4.11311 NA NA -3.46804 NA
NA -2.39293 NA NA -2.15754 NA NA -2.01631
NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 UGRD P875-775 UGRD P875-775
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 7 1.94055 1.08089 2.80021 NA
NA 0.92952 0.59897 2.04686 NA NA
3.67143 1.68878 5.65408 NA NA 2.14376
1.38143 4.72071 NA NA 0.82124 -0.06275
0.98315 NA NA 0.66669 0.48795 7 0
1 -1.73088 -3.09852 -0.36323 NA NA 1.47878
0.95292 3.25638 NA NA 0.52855 NA NA
1.73088 NA NA 4.87034 NA NA 1.87440 NA
NA 2.20688 NA NA -3.57785 NA NA
-2.76143 NA NA -0.78456 NA NA -0.63552 NA
NA -0.52075 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 UGRD P875-775 UGRD P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 60 2.21678 1.53990 2.89367 NA
NA 2.67511 2.26747 3.26306 NA NA
0.96608 0.28808 1.64408 NA NA 2.67952
2.27121 3.26843 NA NA 0.60380 0.41323
0.74370 NA NA 0.58537 0.43651 60 1
5 1.25070 0.64767 1.85374 NA NA 2.38326
2.02010 2.90706 NA NA 2.29462 NA NA
2.09303 NA NA 7.14952 NA NA 5.58526 NA
NA 2.67386 NA NA -1.73465 NA NA
0.20182 NA NA 1.41101 NA NA 2.39564 NA
NA 3.76745 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 VGRD P875-775 VGRD P875-775
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 7 -3.01254 -5.55368 -0.47139 NA
NA 2.74764 1.77056 6.05049 NA NA
-1.81429 -4.40409 0.77552 NA NA 2.80026
1.80447 6.16635 NA NA 0.91905 0.34470
0.99272 NA NA 0.89286 0.71429 7 0
0 -1.19825 -2.23162 -0.16489 NA NA 1.11734
0.72001 2.46045 NA NA 1.66045 NA NA
1.43213 NA NA 2.50591 NA NA 1.07009 NA
NA 1.58301 NA NA -2.04040 NA NA
-1.96734 NA NA -1.69052 NA NA -0.61959 NA
NA 0.38237 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 VGRD P875-775 VGRD P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 60 -2.61051 -3.28013 -1.94088 NA
NA 2.64642 2.24315 3.22806 NA NA
-0.93468 -1.52764 -0.34173 NA NA 2.34341
1.98632 2.85846 NA NA 0.58248 0.38559
0.72864 NA NA 0.53266 0.38823 60 1
4 -1.67582 -2.25671 -1.09494 NA NA 2.29573
1.94590 2.80030 NA NA 2.79293 NA NA
2.32182 NA NA 7.99093 NA NA 5.18254 NA
NA 2.82682 NA NA -3.69403 NA NA
-3.00191 NA NA -1.90844 NA NA -0.16344 NA
NA 1.04989 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 UGRD P910-875 UGRD P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 5.18876 NA NA NA
NA NA NA NA NA NA
4.79729 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 0.39147
NA NA NA NA NA NA NA NA
NA 1.08160 NA NA 0.39147 NA NA
0.15325 NA NA 0.00000 NA NA 0.39147
NA NA 0.39147 NA NA 0.39147 NA NA
0.39147 NA NA 0.39147 NA NA 0.39147 NA
NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 VGRD P910-875 VGRD P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 -4.43965 NA NA NA
NA NA NA NA NA NA
-3.43453 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -1.00513
NA NA NA NA NA NA NA NA
NA 1.29265 NA NA 1.00513 NA NA
1.01028 NA NA 0.00000 NA NA 1.00513
NA NA -1.00513 NA NA -1.00513 NA NA
-1.00513 NA NA -1.00513 NA NA -1.00513 NA
NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 DPT P425-225 DPT P425-225
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 7 235.11185 229.13483 241.08887 NA
NA 6.46272 4.16454 14.23134 NA NA
223.76345 217.48531 230.04160 NA NA 6.78832
4.37435 14.94832 NA NA 0.62940 -0.44867
0.96138 NA NA 0.78571 0.61905 7 0
0 11.34839 6.06596 16.63083 NA NA 5.71170
3.68058 12.57753 NA NA 1.05072 NA NA
11.34839 NA NA 156.74903 NA NA 27.96298 NA
NA 12.51995 NA NA 5.71290 NA NA
7.72542 NA NA 11.19030 NA NA 15.03856 NA
NA 17.57777 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 DPT P625-425 DPT P625-425
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 21 254.48505 251.81453 257.15558 NA
NA 5.86677 4.48843 8.47203 NA NA
250.81912 246.87879 254.75945 NA NA 8.65637
6.62263 12.50040 NA NA 0.92112 0.80219
0.96975 NA NA 0.91039 0.77143 21 0
0 3.66593 1.85695 5.47492 NA NA 3.97409
3.04041 5.73886 NA NA 1.01462 NA NA
4.18493 NA NA 28.48039 NA NA 15.04131 NA
NA 5.33670 NA NA 0.09866 NA NA
1.89752 NA NA 3.03007 NA NA 5.43837 NA
NA 8.24822 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 DPT P775-625 DPT P775-625
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 4 269.02007 267.76293 270.27721 NA
NA 0.79005 0.44755 2.94573 NA NA
264.78836 263.15904 266.41768 NA NA 1.02394
0.58005 3.81781 NA NA 0.56932 -0.98754
0.99906 NA NA 0.80000 0.66667 4 0
0 4.23171 2.85228 5.61114 NA NA 0.86690
0.49109 3.23228 NA NA 1.01598 NA NA
4.23171 NA NA 18.47101 NA NA 0.56364 NA
NA 4.29779 NA NA 3.56317 NA NA
3.67292 NA NA 3.99934 NA NA 4.55813 NA
NA 5.08614 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 DPT P775-625 DPT P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 269.72786 257.84867 281.60706 NA
NA 4.78202 2.48980 30.05373 NA NA
270.61194 256.04939 285.17449 NA NA 5.86221
3.05221 36.84246 NA NA 0.98955 NA NA
NA NA 1.00000 1.00000 3 0 0
-0.88407 -4.17305 2.40490 NA NA 1.32399 0.68935
8.32093 NA NA 0.99673 NA NA 1.28687
NA NA 1.95022 NA NA 1.16863 NA NA
1.39650 NA NA -1.80995 NA NA -1.62821 NA
NA -1.32531 NA NA -0.36056 NA NA 0.21829
NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 DPT P875-775 DPT P875-775
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 7 273.41031 272.29826 274.52235 NA
NA 1.20241 0.77483 2.64779 NA NA
269.87217 267.72822 272.01611 NA NA 2.31816
1.49381 5.10475 NA NA 0.68374 -0.36908
0.96800 NA NA 0.67857 0.52381 7 0
0 3.53814 1.93412 5.14216 NA NA 1.73436
1.11761 3.81918 NA NA 1.01311 NA NA
3.53814 NA NA 15.09672 NA NA 2.57829 NA
NA 3.88545 NA NA 1.37416 NA NA
2.42728 NA NA 3.83043 NA NA 4.74613 NA
NA 5.24401 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 DPT P875-775 DPT P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 54 274.39906 273.33199 275.46612 NA
NA 4.00072 3.36303 4.93955 NA NA
274.82932 273.67984 275.97880 NA NA 4.30973
3.62279 5.32107 NA NA 0.81918 0.70635
0.89141 NA NA 0.73241 0.54883 54 1
4 -0.43026 -1.10135 0.24083 NA NA 2.51612
2.11507 3.10657 NA NA 0.99843 NA NA
1.98884 NA NA 6.39875 NA NA 6.21362 NA
NA 2.52957 NA NA -3.64114 NA NA
-2.29593 NA NA -0.18542 NA NA 1.26463 NA
NA 2.52486 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 DPT P910-875 DPT P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 274.49026 NA NA NA
NA NA NA NA NA NA
274.24060 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 0.24966
NA NA NA NA NA NA NA NA
NA 1.00091 NA NA 0.24966 NA NA
0.06233 NA NA 0.00000 NA NA 0.24966
NA NA 0.24966 NA NA 0.24966 NA NA
0.24966 NA NA 0.24966 NA NA 0.24966 NA
NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 WIND P225-100 WIND P225-100
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 21 21.60594 20.24949 22.96240 NA
NA 2.97994 2.27983 4.30324 NA NA
25.60808 22.83801 28.37815 NA NA 6.08546
4.65574 8.78783 NA NA 0.75975 0.46522
0.90282 NA NA 0.78388 0.59954 21 0
3 -4.00214 -5.95247 -2.05181 NA NA 4.28460
3.27797 6.18726 NA NA 0.84372 NA NA
4.41962 NA NA 33.50075 NA NA 17.48362 NA
NA 5.78798 NA NA -9.92113 NA NA
-6.32706 NA NA -2.80116 NA NA -1.24273 NA
NA 0.64717 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 WIND P425-225 WIND P425-225
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 12 21.54536 19.13850 23.95222 NA
NA 3.78813 2.68349 6.43178 NA NA
21.01415 19.04088 22.98741 NA NA 3.10569
2.20006 5.27309 NA NA 0.91156 0.66572
0.97889 NA NA 0.71833 0.57380 12 0
2 0.53121 -0.48272 1.54514 NA NA 1.59581
1.13047 2.70950 NA NA 1.02528 NA NA
1.33398 NA NA 2.61659 NA NA 2.33440 NA
NA 1.61759 NA NA -1.19833 NA NA
-0.48820 NA NA 0.52859 NA NA 1.62415 NA
NA 2.57479 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 WIND P625-425 WIND P625-425
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 10 14.03464 10.48129 17.58799 NA
NA 4.96724 3.41665 9.06825 NA NA
14.23066 10.12988 18.33144 NA NA 5.73249
3.94301 10.46530 NA NA 0.96223 0.80763
0.99306 NA NA 0.89362 0.76409 10 0
1 -0.19602 -1.37939 0.98735 NA NA 1.65424
1.13784 3.02000 NA NA 0.98623 NA NA
1.35738 NA NA 2.50128 NA NA 2.46286 NA
NA 1.58154 NA NA -2.26165 NA NA
-1.15871 NA NA -0.26344 NA NA 0.87980 NA
NA 1.66718 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 WIND P775-625 WIND P775-625
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 9 5.28065 3.24812 7.31318 NA
NA 2.64422 1.78606 5.06573 NA NA
5.31526 4.10105 6.52947 NA NA 1.57963
1.06697 3.02620 NA NA 0.79417 0.14027
0.96569 NA NA 0.80000 0.61111 9 0
0 -0.03461 -1.33292 1.26369 NA NA 1.68903
1.14087 3.23580 NA NA 0.99349 NA NA
1.36622 NA NA 2.53705 NA NA 2.53585 NA
NA 1.59281 NA NA -2.09294 NA NA
-1.45556 NA NA 0.26614 NA NA 0.82504 NA
NA 2.09555 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 WIND P775-625 WIND P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 6.70349 5.27482 8.13216 NA
NA 0.57512 0.29944 3.61446 NA NA
2.60369 -5.24185 10.44922 NA NA 3.15825
1.64437 19.84877 NA NA 0.97347 NA NA
NA NA 1.00000 1.00000 3 0 0
4.09980 -2.36323 10.56283 NA NA 2.60172 1.35461
16.35111 NA NA 2.57461 NA NA 4.09980
NA NA 21.32101 NA NA 4.51263 NA NA
4.61747 NA NA 1.98933 NA NA 3.32942 NA
NA 5.56292 NA NA 5.60174 NA NA 5.62503
NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 WIND P875-775 WIND P875-775
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 7 4.25547 2.79699 5.71395 NA
NA 1.57699 1.01621 3.47265 NA NA
5.13121 4.08249 6.17993 NA NA 1.13394
0.73070 2.49701 NA NA -0.68257 -0.96786
0.37097 NA NA -0.64286 -0.42857 7 0
0 -0.87574 -3.18116 1.42969 NA NA 2.49277
1.60632 5.48924 NA NA 0.82933 NA NA
2.14445 NA NA 6.09312 NA NA 5.32620 NA
NA 2.46842 NA NA -3.80587 NA NA
-3.02334 NA NA -0.40618 NA NA 1.42784 NA
NA 1.49159 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 WIND P875-775 WIND P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 61 4.66964 4.15247 5.18680 NA
NA 2.06084 1.74902 2.50918 NA NA
2.99052 2.41966 3.56139 NA NA 2.27483
1.93063 2.76973 NA NA 0.37343 0.13423
0.57151 NA NA 0.32865 0.24873 61 3
30 1.67911 1.06850 2.28972 NA NA 2.43322
2.06506 2.96258 NA NA 1.56148 NA NA
2.49504 NA NA 8.64292 NA NA 5.82350 NA
NA 2.93988 NA NA -1.35265 NA NA
-0.05394 NA NA 2.32258 NA NA 3.11186 NA
NA 4.12729 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 WIND P910-875 WIND P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 6.83194 NA NA NA
NA NA NA NA NA NA
5.90000 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 0.93194
NA NA NA NA NA NA NA NA
NA 1.15796 NA NA 0.93194 NA NA
0.86852 NA NA 0.00000 NA NA 0.93194
NA NA 0.93194 NA NA 0.93194 NA NA
0.93194 NA NA 0.93194 NA NA 0.93194 NA
NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 RH P425-225 RH P425-225
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 7 35.90566 29.48621 42.32511 NA
NA 6.94110 4.47280 15.28476 NA NA
12.40461 7.45278 17.35644 NA NA 5.35423
3.45023 11.79036 NA NA -0.42626 -0.93270
0.64584 NA NA -0.50000 -0.33333 7 0
0 23.50105 13.86621 33.13589 NA NA 10.41778
6.71315 22.94063 NA NA 2.89454 NA NA
23.50105 NA NA 645.32514 NA NA 93.02577 NA
NA 25.40325 NA NA 12.21290 NA NA
18.78442 NA NA 27.87256 NA NA 31.39368 NA
NA 31.83407 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 RH P625-425 RH P625-425
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 21 42.09029 37.39315 46.78744 NA
NA 10.31898 7.89463 14.90133 NA NA
31.92265 24.32590 39.51940 NA NA 16.68902
12.76809 24.10010 NA NA 0.80022 0.54241
0.92029 NA NA 0.78182 0.61905 21 0
0 10.16765 5.40687 14.92842 NA NA 10.45877
8.00157 15.10318 NA NA 1.31851 NA NA
12.53278 NA NA 207.55797 NA NA 104.17692 NA
NA 14.40687 NA NA 2.56733 NA NA
4.74671 NA NA 11.33552 NA NA 16.18428 NA
NA 22.55931 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 RH P775-625 RH P775-625
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 4 47.28045 35.14702 59.41388 NA
NA 7.62522 4.31961 28.43100 NA NA
33.10404 22.70817 43.49991 NA NA 6.53326
3.70102 24.35955 NA NA 0.97513 -0.75949
0.99996 NA NA 0.80000 0.66667 4 0
0 14.17641 11.12806 17.22476 NA NA 1.91573
1.08524 7.14288 NA NA 1.42824 NA NA
14.17641 NA NA 203.72312 NA NA 2.75251 NA
NA 14.27316 NA NA 12.47122 NA NA
12.61048 NA NA 14.11215 NA NA 15.67809 NA
NA 15.93300 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 RH P775-625 RH P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 30.17976 -8.72045 69.07997 NA
NA 15.65944 8.15322 98.41544 NA NA
30.79299 -17.25887 78.84486 NA NA 19.34348
10.07134 121.56863 NA NA 0.97637 NA NA
NA NA 1.00000 1.00000 3 0 0
-0.61323 -13.73173 12.50526 NA NA 5.28091 2.74955
33.18909 NA NA 0.98009 NA NA 3.85269
NA NA 18.96802 NA NA 18.59197 NA NA
4.35523 NA NA -4.94001 NA NA -2.30171 NA
NA 2.09547 NA NA 2.42959 NA NA 2.63007
NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 RH P875-775 RH P875-775
ADPUPA FULL DW_MEAN 4 NA NA NA
0.05000 CNT 7 24.34242 22.32636 26.35849 NA
NA 2.17989 1.40471 4.80027 NA NA
16.29855 14.09887 18.49823 NA NA 2.37843
1.53264 5.23745 NA NA 0.88600 0.17767
0.98959 NA NA 0.71429 0.61905 7 0
0 8.04387 7.02173 9.06602 NA NA 1.10521
0.71219 2.43375 NA NA 1.49353 NA NA
8.04387 NA NA 65.75091 NA NA 1.04699 NA
NA 8.10869 NA NA 7.20285 NA NA
7.47205 NA NA 7.60466 NA NA 8.37427 NA
NA 9.48898 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 RH P875-775 RH P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 54 24.61753 22.60081 26.63424 NA
NA 7.56125 6.35604 9.33561 NA NA
20.49453 18.59302 22.39604 NA NA 7.12931
5.99295 8.80231 NA NA 0.81679 0.70271
0.88992 NA NA 0.76616 0.58066 54 1
16 4.12300 2.93201 5.31399 NA NA 4.46536
3.75362 5.51323 NA NA 1.20118 NA NA
5.14519 NA NA 36.56936 NA NA 19.57023 NA
NA 6.04726 NA NA -2.15351 NA NA
1.48523 NA NA 4.52736 NA NA 7.17390 NA
NA 9.66878 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 RH P910-875 RH P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 27.67611 NA NA NA
NA NA NA NA NA NA
22.40000 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 5.27611
NA NA NA NA NA NA NA NA
NA 1.23554 NA NA 5.27611 NA NA
27.83733 NA NA 0.00000 NA NA 5.27611
NA NA 5.27611 NA NA 5.27611 NA NA
5.27611 NA NA 5.27611 NA NA 5.27611 NA
NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 TMP Z2 TMP Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 524 294.73628 294.33858 295.13398 NA
NA 4.64482 4.37959 4.94450 NA NA
296.27646 295.84981 296.70311 NA NA 4.98295
4.69842 5.30445 NA NA 0.94373 0.93354
0.95240 NA NA 0.92066 0.77034 524 48
247 -1.54018 -1.68137 -1.39899 NA NA 1.64897
1.55481 1.75536 NA NA 0.99480 NA NA
1.83052 NA NA 5.08607 NA NA 2.71391 NA
NA 2.25523 NA NA -3.70510 NA NA
-2.42446 NA NA -1.52322 NA NA -0.56218 NA
NA 0.32031 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 UGRD Z10 UGRD Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 364 2.13867 1.89124 2.38610 NA
NA 2.40851 2.24533 2.59747 NA NA
1.39561 1.12241 1.66880 NA NA 2.65935
2.47917 2.86799 NA NA 0.60802 0.53891
0.66900 NA NA 0.57458 0.41982 364 15
23 0.74306 0.51143 0.97470 NA NA 2.25483
2.10206 2.43173 NA NA 1.53243 NA NA
1.73052 NA NA 5.62241 NA NA 5.07027 NA
NA 2.37116 NA NA -1.84576 NA NA
-0.63879 NA NA 0.52756 NA NA 1.81277 NA
NA 3.60202 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 VGRD Z10 VGRD Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 364 -2.14128 -2.35072 -1.93184 NA
NA 2.03873 1.90060 2.19868 NA NA
-1.58504 -1.84177 -1.32831 NA NA 2.49907
2.32976 2.69514 NA NA 0.59793 0.52756
0.66014 NA NA 0.58696 0.42044 364 17
11 -0.55624 -0.76949 -0.34299 NA NA 2.07581
1.93517 2.23867 NA NA 1.35093 NA NA
1.67817 NA NA 4.60657 NA NA 4.29717 NA
NA 2.14629 NA NA -3.01222 NA NA
-1.72394 NA NA -0.65518 NA NA 0.79175 NA
NA 2.05060 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 DPT Z2 DPT Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 346 274.34393 273.86993 274.81793 NA
NA 4.49853 4.18645 4.86128 NA NA
273.11326 272.67915 273.54736 NA NA 4.11990
3.83409 4.45212 NA NA 0.78805 0.74447
0.82494 NA NA 0.74377 0.55695 346 29
39 1.23067 0.93265 1.52869 NA NA 2.82838
2.63216 3.05645 NA NA 1.00451 NA NA
2.46265 NA NA 9.49115 NA NA 7.97660 NA
NA 3.08077 NA NA -2.34835 NA NA
-0.63268 NA NA 1.31291 NA NA 3.20024 NA
NA 4.51254 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 WIND Z10 WIND Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 366 4.07229 3.90700 4.23757 NA
NA 1.61333 1.50430 1.73953 NA NA
3.63418 3.41809 3.85027 NA NA 2.10924
1.96670 2.27423 NA NA 0.44161 0.35518
0.52055 NA NA 0.43096 0.30780 366 17
134 0.43810 0.23203 0.64418 NA NA 2.01152
1.87559 2.16887 NA NA 1.12055 NA NA
1.57620 NA NA 4.22711 NA NA 4.03518 NA
NA 2.05599 NA NA -1.84544 NA NA
-0.69062 NA NA 0.40222 NA NA 1.61795 NA
NA 2.83919 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 RH Z2 RH Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 348 25.63155 24.60550 26.65760 NA
NA 9.76586 9.09019 10.55090 NA NA
20.74358 19.95913 21.52802 NA NA 7.46628
6.94971 8.06647 NA NA 0.74966 0.69967
0.79234 NA NA 0.77165 0.58922 348 29
182 4.88797 4.20873 5.56721 NA NA 6.46494
6.01764 6.98463 NA NA 1.23564 NA NA
6.03740 NA NA 65.56761 NA NA 41.67532 NA
NA 8.09738 NA NA -1.88597 NA NA
0.71532 NA NA 4.23197 NA NA 8.58217 NA
NA 12.75478 NA NA
V3.0 WRF 180000 20110627_000000 20110627_000000 000000
20110626_234000 20110627_002000 PRMSL Z0 PRMSL Z0
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 66 100893.52395 100845.52295 100941.52496 NA
NA 198.96388 169.86224 240.20683 NA NA
101420.54593 101253.29291 101587.79895 NA NA 693.26272
591.86197 836.96821 NA NA 0.50601 0.30082
0.66643 NA NA 0.51092 0.37462 66 2
12 -527.02197 -675.86027 -378.18368 NA NA 616.93381
526.69738 744.81718 NA NA 0.99480 NA NA
552.81966 NA NA 652592.70465 NA NA 374840.54446 NA
NA 807.83210 NA NA -797.27674 NA NA
-696.65349 NA NA -562.33551 NA NA -258.85764 NA
NA 50.67450 NA NA
------------------------------------------------
Subject: Rscript for box plots
From: Raby, John W USA CIV
Time: Mon Apr 16 10:17:56 2012
VERSION MODEL FCST_LEAD FCST_VALID_BEG FCST_VALID_END OBS_LEAD
OBS_VALID_BEG OBS_VALID_END FCST_VAR FCST_LEV OBS_VAR OBS_LEV
OBTYPE VX_MASK INTERP_MTHD INTERP_PNTS FCST_THRESH OBS_THRESH
COV_THRESH ALPHA LINE_TYPE TOTAL FBAR FBAR_NCL FBAR_NCU
FBAR_BCL FBAR_BCU FSTDEV FSTDEV_NCL FSTDEV_NCU FSTDEV_BCL
FSTDEV_BCU OBAR OBAR_NCL OBAR_NCU OBAR_BCL OBAR_BCU
OSTDEV OSTDEV_NCL OSTDEV_NCU OSTDEV_BCL OSTDEV_BCU PR_CORR
PR_CORR_NCL PR_CORR_NCU PR_CORR_BCL PR_CORR_BCU SP_CORR KT_CORR RANKS
FRANK_TIES ORANK_TIES ME ME_NCL ME_NCU ME_BCL ME_BCU
ESTDEV ESTDEV_NCL ESTDEV_NCU ESTDEV_BCL ESTDEV_BCU MBIAS
MBIAS_BCL MBIAS_BCU MAE MAE_BCL MAE_BCU MSE MSE_BCL
MSE_BCU BCMSE BCMSE_BCL BCMSE_BCU RMSE RMSE_BCL RMSE_BCU
E10 E10_BCL E10_BCU E25 E25_BCL E25_BCU E50
E50_BCL E50_BCU E75 E75_BCL E75_BCU E90 E90_BCL E90_BCU
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 TMP P775-625 TMP P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 287.98166 273.00122 302.96210 NA
NA 6.03044 3.13980 37.89970 NA NA
285.62408 274.74750 296.50067 NA NA 4.37841
2.27966 27.51717 NA NA 0.99799 NA NA
NA NA 1.00000 1.00000 3 0 0
2.35758 -1.82536 6.54051 NA NA 1.68386 0.87671
10.58260 NA NA 1.00825 NA NA 2.35758
NA NA 7.44841 NA NA 1.89025 NA NA
2.72918 NA NA 0.98700 NA NA 1.55096 NA
NA 2.49089 NA NA 3.23085 NA NA 3.67483
NA NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 TMP P875-775 TMP P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 62 295.59260 295.00949 296.17571 NA
NA 2.34260 1.99061 2.84716 NA NA
295.41908 294.69007 296.14810 NA NA 2.92877
2.48871 3.55958 NA NA 0.85033 0.76250
0.90738 NA NA 0.74314 0.57805 62 3
28 0.17352 -0.21189 0.55893 NA NA 1.54836
1.31571 1.88185 NA NA 1.00059 NA NA
1.21670 NA NA 2.38885 NA NA 2.35874 NA
NA 1.54559 NA NA -1.75974 NA NA
-0.64352 NA NA 0.27256 NA NA 1.13080 NA
NA 2.27277 NA NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 TMP P910-875 TMP P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 292.82351 NA NA NA
NA NA NA NA NA NA
290.85001 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 1.97351 NA
NA NA NA NA NA NA NA NA
1.00679 NA NA 1.97351 NA NA 3.89472 NA
NA 0.00000 NA NA 1.97351 NA NA
1.97351 NA NA 1.97351 NA NA 1.97351 NA
NA 1.97351 NA NA 1.97351 NA NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 HGT P775-625 HGT P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 2446.85894 1814.84564 3078.87223 NA
NA 254.41959 132.46566 1598.95962 NA NA
2447.00000 1835.77591 3058.22409 NA NA 246.05081
128.10839 1546.36405 NA NA 0.99979 NA NA
NA NA 1.00000 1.00000 3 0 0
-0.14106 -24.53185 24.24972 NA NA 9.81861 5.11214
61.70738 NA NA 0.99994 NA NA 6.55982
NA NA 64.29002 NA NA 64.27012 NA NA
8.01811 NA NA -8.01528 NA NA -5.02567 NA
NA -0.04298 NA NA 4.79258 NA NA 7.69391
NA NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 HGT P875-775 HGT P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 65 1522.25236 1469.76228 1574.74244 NA
NA 215.91648 184.12681 261.09314 NA NA
1524.23077 1472.07793 1576.38361 NA NA 214.52925
182.94383 259.41566 NA NA 0.99935 0.99894
0.99961 NA NA 0.99443 0.95906 65 3 5
-1.97841 -3.88986 -0.06696 NA NA 7.86270 6.70507
9.50784 NA NA 0.99870 NA NA 5.76577
NA NA 64.78512 NA NA 60.87102 NA NA
8.04892 NA NA -9.72541 NA NA -6.15903 NA
NA -2.12363 NA NA 1.34349 NA NA 5.50109
NA NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 HGT P910-875 HGT P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 1189.51497 NA NA NA
NA NA NA NA NA NA
1565.81995 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -376.30498 NA
NA NA NA NA NA NA NA NA
0.75968 NA NA 376.30498 NA NA 141605.43688 NA
NA 0.00000 NA NA 376.30498 NA NA
-376.30498 NA NA -376.30498 NA NA -376.30498 NA
NA -376.30498 NA NA -376.30498 NA NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 UGRD P775-625 UGRD P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 2.83560 -1.57641 7.24760 NA
NA 1.77607 0.92473 11.16212 NA NA 0.90000
-2.97239 4.77239 NA NA 1.55885 0.81163
9.79693 NA NA 0.99309 NA NA NA
NA 0.86603 0.81650 3 0 1 1.93560
1.20956 2.66163 NA NA 0.29227 0.15217 1.83684 NA
NA 3.15066 NA NA 1.93560 NA NA
3.80348 NA NA 0.05695 NA NA 1.95025
NA NA 1.69225 NA NA 1.81726 NA NA
2.02562 NA NA 2.09894 NA NA 2.14293 NA
NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 VGRD P775-625 VGRD P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 -2.70831 -8.29827 2.88166 NA
NA 2.25026 1.17162 14.14231 NA NA 0.50000
-1.65133 2.65133 NA NA 0.86603 0.45090
5.44274 NA NA 0.92598 NA NA NA
NA 0.86603 0.81650 3 0 1 -3.20831
-6.89673 0.48011 NA NA 1.48479 0.77307 9.33151 NA
NA -5.41662 NA NA 3.20831 NA NA
11.76297 NA NA 1.46973 NA NA 3.42972
NA NA -4.42111 NA NA -3.91134 NA NA
-3.06172 NA NA -2.43198 NA NA -2.05414 NA
NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 UGRD P875-775 UGRD P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 63 -0.42799 -1.07185 0.21587 NA
NA 2.60744 2.21835 3.16355 NA NA 0.30251
-0.14932 0.75435 NA NA 1.82978 1.55674
2.22004 NA NA 0.53734 0.33405 0.69286 NA
NA 0.45654 0.33133 63 3 15 -0.73051
-1.28374 -0.17728 NA NA 2.24042 1.90609 2.71825 NA
NA -1.41480 NA NA 1.91039 NA NA
5.47343 NA NA 4.93979 NA NA 2.33954
NA NA -3.33618 NA NA -2.04127 NA NA
-0.99771 NA NA 0.28860 NA NA 2.10415 NA
NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 VGRD P875-775 VGRD P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 63 -4.30404 -5.07991 -3.52817 NA
NA 3.14204 2.67317 3.81217 NA NA
-1.23428 -1.65868 -0.80988 NA NA 1.71870
1.46223 2.08526 NA NA 0.38038 0.14641
0.57404 NA NA 0.34142 0.23005 63 3
16 -3.06976 -3.79886 -2.34066 NA NA 2.95264
2.51203 3.58237 NA NA 3.48708 NA NA
3.69243 NA NA 18.00311 NA NA 8.57969 NA
NA 4.24301 NA NA -6.61792 NA NA
-4.69136 NA NA -3.50653 NA NA -1.73799 NA
NA 0.39595 NA NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 UGRD P910-875 UGRD P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 1.65988 NA NA NA
NA NA NA NA NA NA 2.58850
NA NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA 1 0 0 -0.92862 NA NA
NA NA NA NA NA NA NA
0.64125 NA NA 0.92862 NA NA 0.86233 NA
NA 0.00000 NA NA 0.92862 NA NA
-0.92862 NA NA -0.92862 NA NA -0.92862 NA
NA -0.92862 NA NA -0.92862 NA NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 VGRD P910-875 VGRD P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 -1.94602 NA NA NA
NA NA NA NA NA NA
-1.30754 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -0.63848 NA
NA NA NA NA NA NA NA NA
1.48830 NA NA 0.63848 NA NA 0.40765 NA
NA 0.00000 NA NA 0.63848 NA NA
-0.63848 NA NA -0.63848 NA NA -0.63848 NA
NA -0.63848 NA NA -0.63848 NA NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 DPT P775-625 DPT P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 269.71049 260.44911 278.97187 NA
NA 3.72821 1.94112 23.43079 NA NA
271.08494 257.81742 284.35246 NA NA 5.34090
2.78078 33.56612 NA NA 0.97822 NA NA
NA NA 1.00000 1.00000 3 0 0
-1.37445 -6.00065 3.25176 NA NA 1.86230 0.96962
11.70404 NA NA 0.99493 NA NA 1.47783
NA NA 4.20121 NA NA 2.31210 NA NA
2.04968 NA NA -2.92463 NA NA -2.13921 NA
NA -0.83017 NA NA -0.33755 NA NA -0.04198
NA NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 DPT P875-775 DPT P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 58 273.26764 272.70668 273.82859 NA
NA 2.17969 1.84269 2.66891 NA NA
276.75703 275.86691 277.64714 NA NA 3.45870
2.92396 4.23499 NA NA 0.56267 0.35613
0.71679 NA NA 0.36357 0.25918 58 3 7
-3.48939 -4.22768 -2.75109 NA NA 2.86877 2.42524
3.51266 NA NA 0.98739 NA NA 3.66393
NA NA 20.26379 NA NA 8.08798 NA NA
4.50153 NA NA -8.04646 NA NA -5.13804 NA
NA -3.37251 NA NA -1.32531 NA NA -0.44806
NA NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 DPT P910-875 DPT P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 274.33883 NA NA NA
NA NA NA NA NA NA
275.51566 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -1.17683 NA
NA NA NA NA NA NA NA NA
0.99573 NA NA 1.17683 NA NA 1.38492 NA
NA 0.00000 NA NA 1.17683 NA NA
-1.17683 NA NA -1.17683 NA NA -1.17683 NA
NA -1.17683 NA NA -1.17683 NA NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 WIND P775-625 WIND P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 4.57421 2.17254 6.97587 NA
NA 0.96680 0.50337 6.07609 NA NA 1.02956
-3.40029 5.45942 NA NA 1.78326 0.92847
11.20729 NA NA 0.27659 NA NA NA
NA 0.00000 0.00000 3 0 1 3.54464
-0.87196 7.96124 NA NA 1.77792 0.92569 11.17376 NA
NA 4.44286 NA NA 3.54464 NA NA
14.67182 NA NA 2.10734 NA NA 3.83038
NA NA 2.13358 NA NA 2.64251 NA NA
3.49073 NA NA 4.41982 NA NA 4.97727 NA
NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 WIND P875-775 WIND P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 64 5.56510 4.96990 6.16031 NA
NA 2.42946 2.06937 2.94263 NA NA 2.07663
1.62249 2.53077 NA NA 1.85368 1.57893
2.24523 NA NA 0.38708 0.15613 0.57791 NA
NA 0.37526 0.28120 64 3 37 3.48847
2.89581 4.08114 NA NA 2.41908 2.06053 2.93006 NA
NA 2.67987 NA NA 3.67713 NA NA
17.92997 NA NA 5.76053 NA NA 4.23438
NA NA 0.29070 NA NA 1.96848 NA NA
3.41652 NA NA 5.05860 NA NA 6.05311 NA
NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 WIND P910-875 WIND P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 2.57694 NA NA NA
NA NA NA NA NA NA 2.90000
NA NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA 1 0 0 -0.32306 NA NA
NA NA NA NA NA NA NA
0.88860 NA NA 0.32306 NA NA 0.10437 NA
NA 0.00000 NA NA 0.32306 NA NA
-0.32306 NA NA -0.32306 NA NA -0.32306 NA
NA -0.32306 NA NA -0.32306 NA NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 RH P775-625 RH P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 31.91529 -9.40006 73.23063 NA
NA 16.63167 8.65941 104.52560 NA NA
40.72265 -10.08799 91.53330 NA NA 20.45404
10.64956 128.54819 NA NA 0.92478 NA NA
NA NA 0.50000 0.33333 3 0 0
-8.80737 -28.95603 11.34130 NA NA 8.11093 4.22302
50.97503 NA NA 0.78372 NA NA 8.80737
NA NA 121.42783 NA NA 43.85811 NA NA
11.01943 NA NA -15.47068 NA NA -11.46066 NA
NA -4.77730 NA NA -4.13904 NA NA -3.75609
NA NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 RH P875-775 RH P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 58 23.55228 22.22855 24.87601 NA
NA 5.14357 4.34833 6.29802 NA NA
30.93536 28.47963 33.39109 NA NA 9.54215
8.06685 11.68384 NA NA 0.65658 0.47963
0.78222 NA NA 0.54118 0.39281 58 3
15 -7.38308 -9.25768 -5.50847 NA NA 7.28409
6.15791 8.91897 NA NA 0.76134 NA NA
8.10017 NA NA 106.65308 NA NA 52.14323 NA
NA 10.32730 NA NA -15.92611 NA NA
-11.08509 NA NA -7.50505 NA NA -1.74532 NA
NA 1.48750 NA NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 RH P910-875 RH P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 29.14796 NA NA NA
NA NA NA NA NA NA
36.10000 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -6.95204 NA
NA NA NA NA NA NA NA NA
0.80742 NA NA 6.95204 NA NA 48.33084 NA
NA 0.00000 NA NA 6.95204 NA NA
-6.95204 NA NA -6.95204 NA NA -6.95204 NA
NA -6.95204 NA NA -6.95204 NA NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 TMP Z2 TMP Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 518 289.74856 289.28292 290.21420 NA
NA 5.40714 5.09670 5.75815 NA NA
291.30311 290.85312 291.75310 NA NA 5.22535
4.92535 5.56457 NA NA 0.91235 0.89668
0.92574 NA NA 0.87483 0.70023 518 52
238 -1.55455 -1.74684 -1.36226 NA NA 2.23292
2.10472 2.37787 NA NA 0.99466 NA NA
2.22385 NA NA 7.39291 NA NA 4.97628 NA
NA 2.71899 NA NA -4.36710 NA NA
-3.08403 NA NA -1.55806 NA NA 0.02449 NA
NA 1.25699 NA NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 UGRD Z10 UGRD Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 374 -0.01308 -0.17452 0.14836 NA
NA 1.59296 1.48639 1.71612 NA NA 0.12706
-0.07086 0.32499 NA NA 1.95294 1.82229
2.10393 NA NA 0.59368 0.52381 0.65562 NA
NA 0.57479 0.41468 374 16 48 -0.14014
-0.30536 0.02508 NA NA 1.63023 1.52117 1.75628 NA
NA -0.10295 NA NA 1.24843 NA NA
2.67020 NA NA 2.65056 NA NA 1.63407
NA NA -2.16326 NA NA -1.07954 NA NA
-0.12111 NA NA 0.77503 NA NA 1.89936 NA
NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 VGRD Z10 VGRD Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 374 -1.79782 -1.96028 -1.63535 NA
NA 1.60304 1.49580 1.72698 NA NA
-1.44800 -1.63127 -1.26474 NA NA 1.80830
1.68732 1.94810 NA NA 0.43308 0.34691
0.51200 NA NA 0.40765 0.28102 374 21
45 -0.34981 -0.53472 -0.16490 NA NA 1.82452
1.70246 1.96558 NA NA 1.24158 NA NA
1.45056 NA NA 3.44234 NA NA 3.31998 NA
NA 1.85536 NA NA -2.51705 NA NA
-1.52657 NA NA -0.40150 NA NA 0.68679 NA
NA 1.92391 NA NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 DPT Z2 DPT Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 359 274.06751 273.74142 274.39359 NA
NA 3.15232 2.93736 3.40149 NA NA
274.70023 274.28916 275.11131 NA NA 3.97391
3.70293 4.28803 NA NA 0.66307 0.60080
0.71735 NA NA 0.51034 0.36455 359 35
41 -0.63272 -0.94505 -0.32040 NA NA 3.01934
2.81345 3.25800 NA NA 0.99770 NA NA
2.40676 NA NA 9.49134 NA NA 9.09100 NA
NA 3.08080 NA NA -4.61169 NA NA
-2.55794 NA NA -0.38157 NA NA 1.53175 NA
NA 2.94701 NA NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 WIND Z10 WIND Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 379 2.50850 2.35662 2.66039 NA
NA 1.50867 1.40837 1.62448 NA NA 2.49011
2.31951 2.66072 NA NA 1.69454 1.58188
1.82462 NA NA 0.38450 0.29520 0.46714 NA
NA 0.34953 0.23952 379 24 162 0.01839
-0.16119 0.19797 NA NA 1.78371 1.66512 1.92064 NA
NA 1.00738 NA NA 1.37479 NA NA
3.17358 NA NA 3.17324 NA NA 1.78145
NA NA -2.07927 NA NA -1.08209 NA NA
-0.04954 NA NA 1.06335 NA NA 2.36803 NA
NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 RH Z2 RH Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 361 33.05411 31.95537 34.15285 NA
NA 10.65123 9.92679 11.49061 NA NA
31.35957 30.21547 32.50366 NA NA 11.09093
10.33659 11.96497 NA NA 0.70543 0.64950
0.75376 NA NA 0.72693 0.54187 361 36
177 1.69454 0.83277 2.55631 NA NA 8.35404
7.78585 9.01240 NA NA 1.05404 NA NA
6.52190 NA NA 72.46816 NA NA 69.59669 NA
NA 8.51282 NA NA -8.32849 NA NA
-2.62625 NA NA 2.51978 NA NA 7.13736 NA
NA 11.25226 NA NA
V3.0 WRF 210000 20110627_030000 20110627_030000 000000
20110627_024000 20110627_032000 PRMSL Z0 PRMSL Z0
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 69 100984.06921 100937.94225 101030.19617 NA
NA 195.49303 167.44251 234.93398 NA NA
101497.96524 101343.12155 101652.80893 NA NA 656.25097
562.08811 788.65035 NA NA 0.47726 0.27121
0.64148 NA NA 0.42337 0.29827 69 4
16 -513.89603 -652.77251 -375.01955 NA NA 588.57953
504.12659 707.32613 NA NA 0.99494 NA NA
518.09831 NA NA 605494.33099 NA NA 341405.20357 NA
NA 778.13516 NA NA -771.12365 NA NA
-650.26914 NA NA -517.27291 NA NA -154.39544 NA
NA -75.23698 NA NA
------------------------------------------------
Subject: Rscript for box plots
From: Raby, John W USA CIV
Time: Mon Apr 16 10:17:56 2012
VERSION MODEL FCST_LEAD FCST_VALID_BEG FCST_VALID_END OBS_LEAD
OBS_VALID_BEG OBS_VALID_END FCST_VAR FCST_LEV OBS_VAR OBS_LEV
OBTYPE VX_MASK INTERP_MTHD INTERP_PNTS FCST_THRESH OBS_THRESH
COV_THRESH ALPHA LINE_TYPE TOTAL FBAR FBAR_NCL FBAR_NCU
FBAR_BCL FBAR_BCU FSTDEV FSTDEV_NCL FSTDEV_NCU FSTDEV_BCL
FSTDEV_BCU OBAR OBAR_NCL OBAR_NCU OBAR_BCL OBAR_BCU
OSTDEV OSTDEV_NCL OSTDEV_NCU OSTDEV_BCL OSTDEV_BCU PR_CORR
PR_CORR_NCL PR_CORR_NCU PR_CORR_BCL PR_CORR_BCU SP_CORR KT_CORR
RANKS FRANK_TIES ORANK_TIES ME ME_NCL ME_NCU ME_BCL
ME_BCU ESTDEV ESTDEV_NCL ESTDEV_NCU ESTDEV_BCL ESTDEV_BCU MBIAS
MBIAS_BCL MBIAS_BCU MAE MAE_BCL MAE_BCU MSE MSE_BCL
MSE_BCU BCMSE BCMSE_BCL BCMSE_BCU RMSE RMSE_BCL RMSE_BCU
E10 E10_BCL E10_BCU E25 E25_BCL E25_BCU E50
E50_BCL E50_BCU E75 E75_BCL E75_BCU E90 E90_BCL E90_BCU
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 TMP P775-625 TMP P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 287.37220 274.80033 299.94406 NA
NA 5.06086 2.63498 31.80614 NA NA
280.79074 280.35756 281.22393 NA NA 0.17438
0.09079 1.09594 NA NA 0.68000 NA NA
NA NA 0.50000 0.33333 3 0 0
6.58146 -5.69995 18.86286 NA NA 4.94393 2.57410
31.07129 NA NA 1.02344 NA NA 6.58146
NA NA 59.61055 NA NA 16.29496 NA NA
7.72079 NA NA 2.76074 NA NA 3.97884 NA
NA 6.00900 NA NA 8.89785 NA NA 10.63116
NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 TMP P875-775 TMP P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 61 294.14208 293.55956 294.72460 NA
NA 2.32128 1.97006 2.82628 NA NA
290.70401 289.82571 291.58230 NA NA 3.49991
2.97036 4.26133 NA NA 0.73595 0.59427
0.83333 NA NA 0.54737 0.40158 61 1
24 3.43807 2.84002 4.03613 NA NA 2.38318
2.02259 2.90165 NA NA 1.01183 NA NA
3.52542 NA NA 17.40679 NA NA 5.58645 NA
NA 4.17214 NA NA 0.22058 NA NA
1.84398 NA NA 3.30507 NA NA 4.94770 NA
NA 6.65710 NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 TMP P910-875 TMP P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 292.47992 NA NA NA
NA NA NA NA NA NA
285.85001 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 6.62991
NA NA NA NA NA NA NA NA
NA 1.02319 NA NA 6.62991 NA NA
43.95576 NA NA 0.00000 NA NA 6.62991
NA NA 6.62991 NA NA 6.62991 NA NA
6.62991 NA NA 6.62991 NA NA 6.62991 NA
NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 HGT P775-625 HGT P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 2451.71228 1818.59515 3084.82942 NA
NA 254.86394 132.69702 1601.75227 NA NA
2447.00000 1835.77591 3058.22409 NA NA 246.05081
128.10839 1546.36405 NA NA 0.99999 NA NA
NA NA 1.00000 1.00000 3 0 0
4.71228 -17.40097 26.82554 NA NA 8.90178 4.63479
55.94534 NA NA 1.00193 NA NA 5.65712
NA NA 75.03344 NA NA 52.82781 NA NA
8.66218 NA NA -1.00756 NA NA -0.39303 NA
NA 0.63119 NA NA 7.77705 NA NA 12.06457
NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 HGT P875-775 HGT P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 64 1524.84238 1471.54068 1578.14409 NA
NA 217.56197 185.31555 263.51715 NA NA
1523.91406 1471.11563 1576.71250 NA NA 215.50777
183.56582 261.02904 NA NA 0.99938 0.99897
0.99962 NA NA 0.99423 0.95330 64 1
5 0.92832 -1.01171 2.86835 NA NA 7.91862
6.74494 9.59125 NA NA 1.00061 NA NA
6.00022 NA NA 62.58655 NA NA 61.72477 NA
NA 7.91117 NA NA -7.93713 NA NA
-3.99649 NA NA 0.89750 NA NA 5.89215 NA
NA 8.35968 NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 HGT P910-875 HGT P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 1196.55252 NA NA NA
NA NA NA NA NA NA
1565.81995 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -369.26742
NA NA NA NA NA NA NA NA
NA 0.76417 NA NA 369.26742 NA NA
136358.42933 NA NA 0.00000 NA NA
369.26742 NA NA -369.26742 NA NA -369.26742 NA
NA -369.26742 NA NA -369.26742 NA NA
-369.26742 NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 UGRD P775-625 UGRD P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 -0.84740 -14.51781 12.82301 NA
NA 5.50308 2.86522 34.58540 NA NA
-0.21662 -3.78691 3.35366 NA NA 1.43723
0.74831 9.03262 NA NA 0.98181 NA NA
NA NA 1.00000 1.00000 3 0 0
-0.63078 -10.81841 9.55686 NA NA 4.10107 2.13526
25.77416 NA NA 3.91185 NA NA 2.91798
NA NA 11.61042 NA NA 11.21254 NA NA
3.40741 NA NA -4.02591 NA NA -2.08006 NA
NA 1.16301 NA NA 1.71540 NA NA 2.04684
NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 VGRD P775-625 VGRD P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 -1.52175 -3.84364 0.80013 NA
NA 0.93468 0.48665 5.87424 NA NA
-1.19810 -4.44844 2.05225 NA NA 1.30844
0.68125 8.22321 NA NA 0.03802 NA NA
NA NA -0.50000 -0.33333 3 0 0
-0.32365 -4.24565 3.59834 NA NA 1.57881 0.82202
9.92242 NA NA 1.27014 NA NA 1.10719
NA NA 1.76652 NA NA 1.66177 NA NA
1.32911 NA NA -1.60645 NA NA -0.79672 NA
NA 0.55282 NA NA 0.58765 NA NA 0.60855
NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 UGRD P875-775 UGRD P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 62 -3.38993 -4.30546 -2.47439 NA
NA 3.67810 3.12546 4.47032 NA NA
-0.33547 -0.69300 0.02206 NA NA 1.43636
1.22054 1.74573 NA NA 0.48132 0.26319
0.65263 NA NA 0.35924 0.26852 62 1
19 -3.05446 -3.86126 -2.24765 NA NA 3.24128
2.75426 3.93940 NA NA 10.10500 NA NA
3.57771 NA NA 19.66612 NA NA 10.33642 NA
NA 4.43465 NA NA -7.62932 NA NA
-5.68479 NA NA -2.65612 NA NA -0.72413 NA
NA 0.49891 NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 VGRD P875-775 VGRD P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 62 -3.29200 -4.12202 -2.46197 NA
NA 3.33456 2.83353 4.05278 NA NA
-0.44864 -0.89863 0.00135 NA NA 1.80780
1.53618 2.19718 NA NA 0.43434 0.20703
0.61716 NA NA 0.38645 0.29671 62 1
19 -2.84336 -3.59634 -2.09038 NA NA 3.02503
2.57051 3.67658 NA NA 7.33778 NA NA
3.51136 NA NA 17.08792 NA NA 9.00323 NA
NA 4.13375 NA NA -6.31289 NA NA
-4.02561 NA NA -2.91595 NA NA -1.70851 NA
NA 0.49041 NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 UGRD P910-875 UGRD P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 0.27805 NA NA NA
NA NA NA NA NA NA 0.17658
NA NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA 1 0 0 0.10147 NA NA
NA NA NA NA NA NA NA
1.57465 NA NA 0.10147 NA NA 0.01030 NA
NA 0.00000 NA NA 0.10147 NA NA
0.10147 NA NA 0.10147 NA NA 0.10147 NA
NA 0.10147 NA NA 0.10147 NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 VGRD P910-875 VGRD P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 0.80733 NA NA NA
NA NA NA NA NA NA 4.39645
NA NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA 1 0 0 -3.58912 NA NA
NA NA NA NA NA NA NA
0.18363 NA NA 3.58912 NA NA 12.88181 NA
NA 0.00000 NA NA 3.58912 NA NA
-3.58912 NA NA -3.58912 NA NA -3.58912 NA
NA -3.58912 NA NA -3.58912 NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 DPT P775-625 DPT P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 267.74640 253.26464 282.22816 NA
NA 5.82969 3.03528 36.63806 NA NA
269.63574 262.86215 276.40934 NA NA 2.72674
1.41970 17.13683 NA NA 0.98050 NA NA
NA NA 1.00000 1.00000 3 0 0
-1.88934 -9.84177 6.06308 NA NA 3.20128 1.66677
20.11920 NA NA 0.99299 NA NA 2.29834
NA NA 10.40175 NA NA 6.83213 NA NA
3.22517 NA NA -4.55427 NA NA -3.14076 NA
NA -0.78491 NA NA -0.08571 NA NA 0.33382
NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 DPT P875-775 DPT P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 60 273.11031 272.49616 273.72446 NA
NA 2.42718 2.05732 2.96063 NA NA
276.52544 275.72761 277.32327 NA NA 3.15311
2.67264 3.84612 NA NA 0.70263 0.54614
0.81173 NA NA 0.45064 0.32174 60 1
2 -3.41513 -3.98536 -2.84490 NA NA 2.25360
1.91019 2.74890 NA NA 0.98765 NA NA
3.51735 NA NA 16.65716 NA NA 4.99406 NA
NA 4.08132 NA NA -6.27821 NA NA
-4.84557 NA NA -3.57790 NA NA -1.85445 NA
NA -0.32735 NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 DPT P910-875 DPT P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 273.55089 NA NA NA
NA NA NA NA NA NA
277.43665 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -3.88575
NA NA NA NA NA NA NA NA
NA 0.98599 NA NA 3.88575 NA NA
15.09907 NA NA 0.00000 NA NA 3.88575
NA NA -3.88575 NA NA -3.88575 NA NA
-3.88575 NA NA -3.88575 NA NA -3.88575 NA
NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 WIND P775-625 WIND P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 4.50733 -1.80360 10.81827 NA
NA 2.54049 1.32273 15.96632 NA NA 1.53863
-2.34976 5.42702 NA NA 1.56529 0.81498
9.83742 NA NA 0.94201 NA NA NA
NA 1.00000 1.00000 3 0 0 2.96870
0.01658 5.92082 NA NA 1.18839 0.61874 7.46871 NA
NA 2.92945 NA NA 2.96870 NA NA
9.75471 NA NA 0.94151 NA NA 3.12325
NA NA 2.10000 NA NA 2.31431 NA NA
2.67151 NA NA 3.47450 NA NA 3.95629 NA
NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 WIND P875-775 WIND P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 63 6.29711 5.57771 7.01651 NA
NA 2.91334 2.47860 3.53470 NA NA 1.58017
1.15091 2.00943 NA NA 1.73836 1.47896
2.10912 NA NA 0.21015 -0.03968 0.43525 NA
NA 0.16727 0.11847 63 1 38 4.71694
3.96063 5.47325 NA NA 3.06282 2.60577 3.71605 NA
NA 3.98508 NA NA 4.86470 NA NA
31.48146 NA NA 9.23197 NA NA 5.61083
NA NA 1.23093 NA NA 2.47195 NA NA
4.80380 NA NA 6.71117 NA NA 8.38340 NA
NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 WIND P910-875 WIND P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 0.90354 NA NA NA
NA NA NA NA NA NA 4.40000
NA NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA 1 0 0 -3.49646 NA NA
NA NA NA NA NA NA NA
0.20535 NA NA 3.49646 NA NA 12.22520 NA
NA 0.00000 NA NA 3.49646 NA NA
-3.49646 NA NA -3.49646 NA NA -3.49646 NA
NA -3.49646 NA NA -3.49646 NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 RH P775-625 RH P775-625
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 3 29.05991 -9.52591 67.64574 NA
NA 15.53288 8.08732 97.62005 NA NA
45.60129 22.96347 68.23911 NA NA 9.11295
4.74473 57.27247 NA NA 0.85791 NA NA
NA NA 1.00000 1.00000 3 0 0
-16.54138 -38.95943 5.87667 NA NA 9.02448 4.69867
56.71645 NA NA 0.63726 NA NA 16.54138
NA NA 327.91137 NA NA 54.29414 NA NA
18.10832 NA NA -23.79979 NA NA -21.00257 NA
NA -16.34054 NA NA -11.97977 NA NA -9.36331
NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 RH P875-775 RH P875-775
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 61 25.37802 23.95671 26.79932 NA
NA 5.66375 4.80679 6.89592 NA NA
40.90656 38.00934 43.80378 NA NA 11.54512
9.79828 14.05681 NA NA 0.58813 0.39477
0.73160 NA NA 0.51721 0.36565 61 1
17 -15.52854 -17.88871 -13.16838 NA NA 9.40500
7.98197 11.45110 NA NA 0.62039 NA NA
15.73583 NA NA 328.13961 NA NA 87.00398 NA
NA 18.11462 NA NA -28.30119 NA NA
-21.65802 NA NA -15.54583 NA NA -7.99585 NA
NA -5.11157 NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 RH P910-875 RH P910-875
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 1 28.12285 NA NA NA
NA NA NA NA NA NA
56.40000 NA NA NA NA NA NA
NA NA NA NA NA NA NA
NA NA NA 1 0 0 -28.27715
NA NA NA NA NA NA NA NA
NA 0.49863 NA NA 28.27715 NA NA
799.59747 NA NA 0.00000 NA NA 28.27715
NA NA -28.27715 NA NA -28.27715 NA NA
-28.27715 NA NA -28.27715 NA NA -28.27715 NA
NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 TMP Z2 TMP Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 489 287.44738 287.01192 287.88283 NA
NA 4.91299 4.62316 5.24189 NA NA
287.35504 286.91268 287.79741 NA NA 4.99095
4.69652 5.32507 NA NA 0.87996 0.85826
0.89853 NA NA 0.86468 0.67613 489 50
212 0.09233 -0.12282 0.30749 NA NA 2.42751
2.28430 2.59002 NA NA 1.00032 NA NA
1.92133 NA NA 5.88927 NA NA 5.88074 NA
NA 2.42678 NA NA -2.96469 NA NA
-1.64205 NA NA -0.10037 NA NA 1.67336 NA
NA 3.24069 NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 UGRD Z10 UGRD Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 363 -0.96670 -1.14291 -0.79049 NA
NA 1.71294 1.59674 1.84753 NA NA
-0.37636 -0.56822 -0.18450 NA NA 1.86502
1.73850 2.01156 NA NA 0.48335 0.40033
0.55850 NA NA 0.44486 0.30877 363 16
55 -0.59034 -0.77790 -0.40278 NA NA 1.82323
1.69955 1.96649 NA NA 2.56854 NA NA
1.47935 NA NA 3.66352 NA NA 3.31502 NA
NA 1.91403 NA NA -3.07525 NA NA
-1.73400 NA NA -0.42978 NA NA 0.56906 NA
NA 1.78053 NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 VGRD Z10 VGRD Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 363 -1.34520 -1.49377 -1.19662 NA
NA 1.44428 1.34630 1.55776 NA NA
-0.54865 -0.74981 -0.34749 NA NA 1.95541
1.82276 2.10905 NA NA 0.43204 0.34442
0.51219 NA NA 0.37828 0.26428 363 24
49 -0.79655 -0.98815 -0.60494 NA NA 1.86260
1.73625 2.00895 NA NA 2.45183 NA NA
1.61790 NA NA 4.09422 NA NA 3.45974 NA
NA 2.02342 NA NA -3.15635 NA NA
-1.85435 NA NA -0.93543 NA NA 0.25279 NA
NA 1.72996 NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 DPT Z2 DPT Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 357 273.54000 273.23121 273.84878 NA
NA 2.97677 2.77325 3.21278 NA NA
274.75756 274.34366 275.17146 NA NA 3.99007
3.71727 4.30641 NA NA 0.68157 0.62176
0.73348 NA NA 0.53964 0.38727 357 35
30 -1.21756 -1.52161 -0.91352 NA NA 2.93106
2.73066 3.16344 NA NA 0.99557 NA NA
2.48578 NA NA 10.04948 NA NA 8.56702 NA
NA 3.17009 NA NA -4.94138 NA NA
-3.35081 NA NA -1.09976 NA NA 0.58459 NA
NA 2.13308 NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 WIND Z10 WIND Z10
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 368 2.36325 2.20548 2.52101 NA
NA 1.54414 1.44006 1.66458 NA NA 2.10424
1.92123 2.28724 NA NA 1.79117 1.67044
1.93087 NA NA 0.34299 0.24951 0.43014 NA
NA 0.22347 0.15185 368 17 166 0.25901
0.06260 0.45541 NA NA 1.92233 1.79275 2.07226 NA
NA 1.12309 NA NA 1.51338 NA NA
3.75241 NA NA 3.68532 NA NA 1.93711
NA NA -2.08680 NA NA -0.94820 NA NA
0.25236 NA NA 1.43627 NA NA 2.70977 NA
NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 RH Z2 RH Z2
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 359 36.82100 35.78092 37.86108 NA
NA 10.05463 9.36900 10.84939 NA NA
41.92904 40.40976 43.44832 NA NA 14.68714
13.68562 15.84807 NA NA 0.68311 0.62370
0.73467 NA NA 0.66921 0.48832 359 31
158 -5.10805 -6.21760 -3.99849 NA NA 10.72629
9.99486 11.57414 NA NA 0.87817 NA NA
8.97786 NA NA 140.82494 NA NA 114.73282 NA
NA 11.86697 NA NA -20.02021 NA NA
-11.84149 NA NA -3.27826 NA NA 3.10877 NA
NA 6.82032 NA NA
V3.0 WRF 240000 20110627_060000 20110627_060000 000000
20110627_054000 20110627_062000 PRMSL Z0 PRMSL Z0
ADPSFC FULL DW_MEAN 4 NA NA NA
0.05000 CNT 68 101194.89238 101152.71867 101237.06608 NA
NA 177.43860 151.81753 213.55626 NA NA
101674.71760 101529.18609 101820.24911 NA NA 612.29878
523.88651 736.93230 NA NA 0.44112 0.22652
0.61488 NA NA 0.45473 0.33157 68 4
10 -479.82522 -612.27589 -347.37456 NA NA 557.26337
476.79788 670.69443 NA NA 0.99528 NA NA
481.14156 NA NA 536207.90971 NA NA 305975.66471 NA
NA 732.26219 NA NA -649.41935 NA NA
-560.81950 NA NA -446.45175 NA NA -329.83555 NA
NA -99.32135 NA NA
------------------------------------------------
Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
From: John Halley Gotway
Time: Mon Apr 16 10:35:45 2012
John,
OK, I ran the Rscript on the data you sent and produced the same
results you're seeing - a PDF file with 384 very boring plots.
Now, I don't know what you were expecting, but I think the Rscript is
working as expected. It identified 64 unique cases, where a case is
defined using the following header columns:
data$MODEL,
data$FCST_VAR, data$FCST_LEV,
data$OBS_VAR, data$OBS_LEV,
data$OBTYPE, data$VX_MASK,
data$INTERP_MTHD, data$INTERP_PNTS,
data$ALPHA
The first plot in the PDF output file is for the first case:
WRF_TMP_P775-625_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_0.05
Since you have 9 lead times, this plot is a time series of boxplots
showing the distribution of the RMSE values. The reason why the
boxplots are so boring is that you only have a single RMSE value
for each lead time in the data you passed the script. If you were to
pass this script the MET output for 100 model initialization times,
each boxplot would be comprised of a 100 RMSE values rather
than a single one.
So you just haven't passed the script enough data to make interesting
plots. For example, the following sample output shows what the plots
would look like with more data:
http://www.dtcenter.org/met/users/downloads/Rscripts/cnt_plots.pdf
Hope that helps clarify.
John
On 04/16/2012 10:17 AM, Raby, John W USA CIV via RT wrote:
>
> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>
> John -
>
> Thanks for your offer to help.
>
> The command line is: Rscript plot_cnt.R
~/MET_PointStat_30WRF/results_m1o1/20110626/*_cnt.txt
>
> The files are attached.
>
> R/
> John
> ________________________________________
> From: John Halley Gotway via RT [met_help at ucar.edu]
> Sent: Monday, April 16, 2012 10:06 AM
> To: Raby, John W CIV (US)
> Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
>
> John,
>
> If you'd like me to take a look at this, I'll need you to send me
the data you're trying to plot (_cnt.txt files) - as well as the
command line you're executing to run R.
>
> In general, the sample R-scripts we post on the MET website are
meant to serve as examples for users to copy and adapt for their own
needs. So we don't "support" them in the way we support the MET
> code. That being said, since you're the first user I'm aware of
that's using this script, I'm happy to take a look to make sure the
script doesn't have any obvious problems.
>
> Thanks,
> John Halley Gotway
>
>
> On 04/16/2012 09:55 AM, Raby, John W USA CIV via RT wrote:
>>
>> Mon Apr 16 09:55:16 2012: Request 55898 was acted upon.
>> Transaction: Ticket created by john.w.raby2.civ at mail.mil
>> Queue: met_help
>> Subject: Rscript for box plots
>> Owner: Nobody
>> Requestors: john.w.raby2.civ at mail.mil
>> Status: new
>> Ticket<URL:
https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>>
>>
>> I tried using plot_cnt.R as downloaded from the DTC MET site to
plot the default plots using Point-Stat _cnt.txt files and the box
plots I get are not the same. See attached.
>>
>> Each _cnt.txt file contains 28 different variables at different
levels. I have 9 forecast lead times and each contains a _cnt.txt
file.
>>
>> Can you diagnose why my box plots are looking like a single value
of RMSE?
>>
>> Is there a way to use the percentiles of the errors statistics to
create box plots?
>>
>> Thanks.
>>
>> R/
>> John
>>
>
>
------------------------------------------------
Subject: Rscript for box plots
From: Raby, John W USA CIV
Time: Mon Apr 16 10:48:11 2012
Classification: UNCLASSIFIED
Caveats: NONE
John -
The 9 files I sent you were from a single WRF run which produced 9
forecasts
(9 lead times) for the date 20110626.
I have the same exact number of _cnt.txt files (same model, variables.
lead
times, etc) for additional WRF runs on 30 more days, but they are all
in
separate directories such as 20110625, 20110624, 20110623, ...,
20110527. If I
were to move all these _cnt.txt files into one directory and run the
Rscript
command on all 279 files would that provide the ensemble of model runs
to give
the plots some depth?
Thanks.
R/
John
-----Original Message-----
From: John Halley Gotway via RT [mailto:met_help at ucar.edu]
Sent: Monday, April 16, 2012 10:36 AM
To: Raby, John W CIV (US)
Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
John,
OK, I ran the Rscript on the data you sent and produced the same
results
you're seeing - a PDF file with 384 very boring plots.
Now, I don't know what you were expecting, but I think the Rscript is
working
as expected. It identified 64 unique cases, where a case is defined
using the
following header columns:
data$MODEL,
data$FCST_VAR, data$FCST_LEV,
data$OBS_VAR, data$OBS_LEV,
data$OBTYPE, data$VX_MASK,
data$INTERP_MTHD, data$INTERP_PNTS,
data$ALPHA
The first plot in the PDF output file is for the first case:
WRF_TMP_P775-625_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_0.05
Since you have 9 lead times, this plot is a time series of boxplots
showing
the distribution of the RMSE values. The reason why the boxplots are
so
boring is that you only have a single RMSE value for each lead time in
the
data you passed the script. If you were to pass this script the MET
output
for 100 model initialization times, each boxplot would be comprised of
a 100
RMSE values rather than a single one.
So you just haven't passed the script enough data to make interesting
plots.
For example, the following sample output shows what the plots would
look like
with more data:
http://www.dtcenter.org/met/users/downloads/Rscripts/cnt_plots.pdf
Hope that helps clarify.
John
On 04/16/2012 10:17 AM, Raby, John W USA CIV via RT wrote:
>
> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>
> John -
>
> Thanks for your offer to help.
>
> The command line is: Rscript plot_cnt.R
> ~/MET_PointStat_30WRF/results_m1o1/20110626/*_cnt.txt
>
> The files are attached.
>
> R/
> John
> ________________________________________
> From: John Halley Gotway via RT [met_help at ucar.edu]
> Sent: Monday, April 16, 2012 10:06 AM
> To: Raby, John W CIV (US)
> Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
>
> John,
>
> If you'd like me to take a look at this, I'll need you to send me
the data
> you're trying to plot (_cnt.txt files) - as well as the command line
you're
> executing to run R.
>
> In general, the sample R-scripts we post on the MET website are
meant
> to serve as examples for users to copy and adapt for their own
needs. So we
> don't "support" them in the way we support the MET code. That being
said,
> since you're the first user I'm aware of that's using this script,
I'm happy
> to take a look to make sure the script doesn't have any obvious
problems.
>
> Thanks,
> John Halley Gotway
>
>
> On 04/16/2012 09:55 AM, Raby, John W USA CIV via RT wrote:
>>
>> Mon Apr 16 09:55:16 2012: Request 55898 was acted upon.
>> Transaction: Ticket created by john.w.raby2.civ at mail.mil
>> Queue: met_help
>> Subject: Rscript for box plots
>> Owner: Nobody
>> Requestors: john.w.raby2.civ at mail.mil
>> Status: new
>> Ticket<URL:
>> https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>>
>>
>> I tried using plot_cnt.R as downloaded from the DTC MET site to
plot the
>> default plots using Point-Stat _cnt.txt files and the box plots I
get are
>> not the same. See attached.
>>
>> Each _cnt.txt file contains 28 different variables at different
levels. I
>> have 9 forecast lead times and each contains a _cnt.txt file.
>>
>> Can you diagnose why my box plots are looking like a single value
of RMSE?
>>
>> Is there a way to use the percentiles of the errors statistics to
create
>> box plots?
>>
>> Thanks.
>>
>> R/
>> John
>>
>
>
Classification: UNCLASSIFIED
Caveats: NONE
------------------------------------------------
Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots (UNCLASSIFIED)
From: John Halley Gotway
Time: Mon Apr 16 11:05:17 2012
John,
Yes, giving the script stats from 30 model initializations should
yield boxplots consisting of 30 values each.
If you run that Rscript with 0 arguments, it'll print out the usage
statement - which I've cut-and-pasted at the end of this message.
Notice in the usage statement that "file_list" is "one or more
files containing CNT lines". Those files don't need to live in the
same directory. So just try using more wildcards when you call the
script. Something like:
Rscript plot_cnt.R
~/MET_PointStat_30WRF/results_m1o1/20*/*_cnt.txt
Also notice that the "-column" option enables you to plot data for
other columns. Open up that Rscript to see the list of data columns
in a CNT line. "RMSE" is just the default, but you could add:
-column FBAR -column OBAR
To get plots of the mean forecast and observation values.
Lastly, since this Rscript identifies 64 "cases" in your data, it
creates a whole LOT of plots in the PDF file - 384 to be exact.
That's not really a problem, but if you wanted to narrow that down a
bit, you could run a STAT-Analysis "filter" job on your MET output.
For example,
stat_analysis -lookin ~/MET_PointStat_30WRF/results_m1o1/20* \
-job filter -line_type CNT -fcst_var TMP -fcst_lev P775-625
-obtype ADPSFC -vx_mask FULL -interp_mthd DW_MEAN -interp_pnts 4 \
-dump_row case_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_cnt.txt
And then you could run the output of that filter job through the
Rscript:
Rscript plot_cnt.R case_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_cnt.txt
-column RMSE -column FBAR -column OBAR -out case_TMP_P775-
625_ADPSFC_FULL_DW_MEAN_4_cnt.pdf
Thanks,
John
[johnhg at rambler]% Rscript plot_cnt.R
Usage: plot_cnt.R
cnt_file_list
[-column name]
[-out name]
[-save]
where "file_list" is one or more files containing CNT
lines.
"-column name" specifies a CNT statistic to be plotted
(multiple).
"-out name" specifies an output PDF file name.
"-save" calls save.image() before exiting R.
On 04/16/2012 10:48 AM, Raby, John W USA CIV via RT wrote:
>
> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>
> Classification: UNCLASSIFIED
> Caveats: NONE
>
> John -
>
> The 9 files I sent you were from a single WRF run which produced 9
forecasts
> (9 lead times) for the date 20110626.
>
> I have the same exact number of _cnt.txt files (same model,
variables. lead
> times, etc) for additional WRF runs on 30 more days, but they are
all in
> separate directories such as 20110625, 20110624, 20110623, ...,
20110527. If I
> were to move all these _cnt.txt files into one directory and run the
Rscript
> command on all 279 files would that provide the ensemble of model
runs to give
> the plots some depth?
>
> Thanks.
>
> R/
> John
>
> -----Original Message-----
> From: John Halley Gotway via RT [mailto:met_help at ucar.edu]
> Sent: Monday, April 16, 2012 10:36 AM
> To: Raby, John W CIV (US)
> Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
>
> John,
>
> OK, I ran the Rscript on the data you sent and produced the same
results
> you're seeing - a PDF file with 384 very boring plots.
>
> Now, I don't know what you were expecting, but I think the Rscript
is working
> as expected. It identified 64 unique cases, where a case is defined
using the
> following header columns:
> data$MODEL,
> data$FCST_VAR, data$FCST_LEV,
> data$OBS_VAR, data$OBS_LEV,
> data$OBTYPE, data$VX_MASK,
> data$INTERP_MTHD, data$INTERP_PNTS,
> data$ALPHA
>
> The first plot in the PDF output file is for the first case:
> WRF_TMP_P775-625_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_0.05
>
> Since you have 9 lead times, this plot is a time series of boxplots
showing
> the distribution of the RMSE values. The reason why the boxplots
are so
> boring is that you only have a single RMSE value for each lead time
in the
> data you passed the script. If you were to pass this script the MET
output
> for 100 model initialization times, each boxplot would be comprised
of a 100
> RMSE values rather than a single one.
>
> So you just haven't passed the script enough data to make
interesting plots.
> For example, the following sample output shows what the plots would
look like
> with more data:
>
http://www.dtcenter.org/met/users/downloads/Rscripts/cnt_plots.pdf
>
> Hope that helps clarify.
>
> John
>
> On 04/16/2012 10:17 AM, Raby, John W USA CIV via RT wrote:
>>
>> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>>
>> John -
>>
>> Thanks for your offer to help.
>>
>> The command line is: Rscript plot_cnt.R
>> ~/MET_PointStat_30WRF/results_m1o1/20110626/*_cnt.txt
>>
>> The files are attached.
>>
>> R/
>> John
>> ________________________________________
>> From: John Halley Gotway via RT [met_help at ucar.edu]
>> Sent: Monday, April 16, 2012 10:06 AM
>> To: Raby, John W CIV (US)
>> Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
>>
>> John,
>>
>> If you'd like me to take a look at this, I'll need you to send me
the data
>> you're trying to plot (_cnt.txt files) - as well as the command
line you're
>> executing to run R.
>>
>> In general, the sample R-scripts we post on the MET website are
meant
>> to serve as examples for users to copy and adapt for their own
needs. So we
>> don't "support" them in the way we support the MET code. That
being said,
>> since you're the first user I'm aware of that's using this script,
I'm happy
>> to take a look to make sure the script doesn't have any obvious
problems.
>>
>> Thanks,
>> John Halley Gotway
>>
>>
>> On 04/16/2012 09:55 AM, Raby, John W USA CIV via RT wrote:
>>>
>>> Mon Apr 16 09:55:16 2012: Request 55898 was acted upon.
>>> Transaction: Ticket created by john.w.raby2.civ at mail.mil
>>> Queue: met_help
>>> Subject: Rscript for box plots
>>> Owner: Nobody
>>> Requestors: john.w.raby2.civ at mail.mil
>>> Status: new
>>> Ticket<URL:
>>> https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>>>
>>>
>>> I tried using plot_cnt.R as downloaded from the DTC MET site to
plot the
>>> default plots using Point-Stat _cnt.txt files and the box plots I
get are
>>> not the same. See attached.
>>>
>>> Each _cnt.txt file contains 28 different variables at different
levels. I
>>> have 9 forecast lead times and each contains a _cnt.txt file.
>>>
>>> Can you diagnose why my box plots are looking like a single value
of RMSE?
>>>
>>> Is there a way to use the percentiles of the errors statistics to
create
>>> box plots?
>>>
>>> Thanks.
>>>
>>> R/
>>> John
>>>
>>
>>
>
>
> Classification: UNCLASSIFIED
> Caveats: NONE
>
>
>
------------------------------------------------
Subject: Rscript for box plots
From: Raby, John W USA CIV
Time: Mon Apr 16 11:10:10 2012
Classification: UNCLASSIFIED
Caveats: NONE
John -
That's a great help. I'll give your resolution (1st para below) a try
and let
you know.
Thanks for the additional tips on finessing plot production. I'll be
experimenting with those too.
R/
John
-----Original Message-----
From: John Halley Gotway via RT [mailto:met_help at ucar.edu]
Sent: Monday, April 16, 2012 11:05 AM
To: Raby, John W CIV (US)
Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
(UNCLASSIFIED)
John,
Yes, giving the script stats from 30 model initializations should
yield
boxplots consisting of 30 values each.
If you run that Rscript with 0 arguments, it'll print out the usage
statement - which I've cut-and-pasted at the end of this message.
Notice in
the usage statement that "file_list" is "one or more files containing
CNT
lines". Those files don't need to live in the same directory. So
just try
using more wildcards when you call the script. Something like:
Rscript plot_cnt.R
~/MET_PointStat_30WRF/results_m1o1/20*/*_cnt.txt
Also notice that the "-column" option enables you to plot data for
other
columns. Open up that Rscript to see the list of data columns in a
CNT line.
"RMSE" is just the default, but you could add:
-column FBAR -column OBAR
To get plots of the mean forecast and observation values.
Lastly, since this Rscript identifies 64 "cases" in your data, it
creates a
whole LOT of plots in the PDF file - 384 to be exact. That's not
really a
problem, but if you wanted to narrow that down a bit, you could run a
STAT-Analysis "filter" job on your MET output. For example,
stat_analysis -lookin ~/MET_PointStat_30WRF/results_m1o1/20* \
-job filter -line_type CNT -fcst_var TMP -fcst_lev P775-625
-obtype
ADPSFC -vx_mask FULL -interp_mthd DW_MEAN -interp_pnts 4 \
-dump_row case_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_cnt.txt
And then you could run the output of that filter job through the
Rscript:
Rscript plot_cnt.R case_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_cnt.txt
-column
RMSE -column FBAR -column OBAR -out
case_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_cnt.pdf
Thanks,
John
[johnhg at rambler]% Rscript plot_cnt.R
Usage: plot_cnt.R
cnt_file_list
[-column name]
[-out name]
[-save]
where "file_list" is one or more files containing CNT
lines.
"-column name" specifies a CNT statistic to be plotted
(multiple).
"-out name" specifies an output PDF file name.
"-save" calls save.image() before exiting R.
On 04/16/2012 10:48 AM, Raby, John W USA CIV via RT wrote:
>
> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>
> Classification: UNCLASSIFIED
> Caveats: NONE
>
> John -
>
> The 9 files I sent you were from a single WRF run which produced 9
> forecasts
> (9 lead times) for the date 20110626.
>
> I have the same exact number of _cnt.txt files (same model,
variables.
> lead times, etc) for additional WRF runs on 30 more days, but they
are
> all in separate directories such as 20110625, 20110624, 20110623,
...,
> 20110527. If I were to move all these _cnt.txt files into one
> directory and run the Rscript command on all 279 files would that
> provide the ensemble of model runs to give the plots some depth?
>
> Thanks.
>
> R/
> John
>
> -----Original Message-----
> From: John Halley Gotway via RT [mailto:met_help at ucar.edu]
> Sent: Monday, April 16, 2012 10:36 AM
> To: Raby, John W CIV (US)
> Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
>
> John,
>
> OK, I ran the Rscript on the data you sent and produced the same
> results you're seeing - a PDF file with 384 very boring plots.
>
> Now, I don't know what you were expecting, but I think the Rscript
is
> working as expected. It identified 64 unique cases, where a case is
> defined using the following header columns:
> data$MODEL,
> data$FCST_VAR, data$FCST_LEV,
> data$OBS_VAR, data$OBS_LEV,
> data$OBTYPE, data$VX_MASK,
> data$INTERP_MTHD, data$INTERP_PNTS,
> data$ALPHA
>
> The first plot in the PDF output file is for the first case:
> WRF_TMP_P775-625_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_0.05
>
> Since you have 9 lead times, this plot is a time series of boxplots
> showing the distribution of the RMSE values. The reason why the
> boxplots are so boring is that you only have a single RMSE value for
> each lead time in the data you passed the script. If you were to
pass
> this script the MET output for 100 model initialization times, each
> boxplot would be comprised of a 100 RMSE values rather than a single
one.
>
> So you just haven't passed the script enough data to make
interesting plots.
> For example, the following sample output shows what the plots would
> look like with more data:
>
> http://www.dtcenter.org/met/users/downloads/Rscripts/cnt_plots.pdf
>
> Hope that helps clarify.
>
> John
>
> On 04/16/2012 10:17 AM, Raby, John W USA CIV via RT wrote:
>>
>> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>>
>> John -
>>
>> Thanks for your offer to help.
>>
>> The command line is: Rscript plot_cnt.R
>> ~/MET_PointStat_30WRF/results_m1o1/20110626/*_cnt.txt
>>
>> The files are attached.
>>
>> R/
>> John
>> ________________________________________
>> From: John Halley Gotway via RT [met_help at ucar.edu]
>> Sent: Monday, April 16, 2012 10:06 AM
>> To: Raby, John W CIV (US)
>> Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
>>
>> John,
>>
>> If you'd like me to take a look at this, I'll need you to send me
the
>> data you're trying to plot (_cnt.txt files) - as well as the
command
>> line you're executing to run R.
>>
>> In general, the sample R-scripts we post on the MET website are
meant
>> to serve as examples for users to copy and adapt for their own
needs.
>> So we don't "support" them in the way we support the MET code.
That
>> being said, since you're the first user I'm aware of that's using
>> this script, I'm happy to take a look to make sure the script
doesn't have
>> any obvious problems.
>>
>> Thanks,
>> John Halley Gotway
>>
>>
>> On 04/16/2012 09:55 AM, Raby, John W USA CIV via RT wrote:
>>>
>>> Mon Apr 16 09:55:16 2012: Request 55898 was acted upon.
>>> Transaction: Ticket created by john.w.raby2.civ at mail.mil
>>> Queue: met_help
>>> Subject: Rscript for box plots
>>> Owner: Nobody
>>> Requestors: john.w.raby2.civ at mail.mil
>>> Status: new
>>> Ticket<URL:
>>> https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>>>
>>>
>>> I tried using plot_cnt.R as downloaded from the DTC MET site to
plot
>>> the default plots using Point-Stat _cnt.txt files and the box
plots
>>> I get are not the same. See attached.
>>>
>>> Each _cnt.txt file contains 28 different variables at different
>>> levels. I have 9 forecast lead times and each contains a _cnt.txt
file.
>>>
>>> Can you diagnose why my box plots are looking like a single value
of RMSE?
>>>
>>> Is there a way to use the percentiles of the errors statistics to
>>> create box plots?
>>>
>>> Thanks.
>>>
>>> R/
>>> John
>>>
>>
>>
>
>
> Classification: UNCLASSIFIED
> Caveats: NONE
>
>
>
Classification: UNCLASSIFIED
Caveats: NONE
------------------------------------------------
Subject: Rscript for box plots
From: Raby, John W USA CIV
Time: Mon Apr 16 11:19:52 2012
John -
You do excellent work! Take a look at the attached. Much less boring!
I used your command verbatim.
So, the box plots you produce with this script capture the error
percentiles directly from the RMSE variability produced by 31 model
realizations and not from the E10-E90 statistics which is a different
statistic in the _cnt.txt file. Is this correct?
R/
John
________________________________________
From: John Halley Gotway via RT [met_help at ucar.edu]
Sent: Monday, April 16, 2012 11:05 AM
To: Raby, John W CIV (US)
Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
(UNCLASSIFIED)
John,
Yes, giving the script stats from 30 model initializations should
yield boxplots consisting of 30 values each.
If you run that Rscript with 0 arguments, it'll print out the usage
statement - which I've cut-and-pasted at the end of this message.
Notice in the usage statement that "file_list" is "one or more
files containing CNT lines". Those files don't need to live in the
same directory. So just try using more wildcards when you call the
script. Something like:
Rscript plot_cnt.R
~/MET_PointStat_30WRF/results_m1o1/20*/*_cnt.txt
Also notice that the "-column" option enables you to plot data for
other columns. Open up that Rscript to see the list of data columns
in a CNT line. "RMSE" is just the default, but you could add:
-column FBAR -column OBAR
To get plots of the mean forecast and observation values.
Lastly, since this Rscript identifies 64 "cases" in your data, it
creates a whole LOT of plots in the PDF file - 384 to be exact.
That's not really a problem, but if you wanted to narrow that down a
bit, you could run a STAT-Analysis "filter" job on your MET output.
For example,
stat_analysis -lookin ~/MET_PointStat_30WRF/results_m1o1/20* \
-job filter -line_type CNT -fcst_var TMP -fcst_lev P775-625
-obtype ADPSFC -vx_mask FULL -interp_mthd DW_MEAN -interp_pnts 4 \
-dump_row case_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_cnt.txt
And then you could run the output of that filter job through the
Rscript:
Rscript plot_cnt.R case_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_cnt.txt
-column RMSE -column FBAR -column OBAR -out case_TMP_P775-
625_ADPSFC_FULL_DW_MEAN_4_cnt.pdf
Thanks,
John
[johnhg at rambler]% Rscript plot_cnt.R
Usage: plot_cnt.R
cnt_file_list
[-column name]
[-out name]
[-save]
where "file_list" is one or more files containing CNT
lines.
"-column name" specifies a CNT statistic to be plotted
(multiple).
"-out name" specifies an output PDF file name.
"-save" calls save.image() before exiting R.
On 04/16/2012 10:48 AM, Raby, John W USA CIV via RT wrote:
>
> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>
> Classification: UNCLASSIFIED
> Caveats: NONE
>
> John -
>
> The 9 files I sent you were from a single WRF run which produced 9
forecasts
> (9 lead times) for the date 20110626.
>
> I have the same exact number of _cnt.txt files (same model,
variables. lead
> times, etc) for additional WRF runs on 30 more days, but they are
all in
> separate directories such as 20110625, 20110624, 20110623, ...,
20110527. If I
> were to move all these _cnt.txt files into one directory and run the
Rscript
> command on all 279 files would that provide the ensemble of model
runs to give
> the plots some depth?
>
> Thanks.
>
> R/
> John
>
> -----Original Message-----
> From: John Halley Gotway via RT [mailto:met_help at ucar.edu]
> Sent: Monday, April 16, 2012 10:36 AM
> To: Raby, John W CIV (US)
> Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
>
> John,
>
> OK, I ran the Rscript on the data you sent and produced the same
results
> you're seeing - a PDF file with 384 very boring plots.
>
> Now, I don't know what you were expecting, but I think the Rscript
is working
> as expected. It identified 64 unique cases, where a case is defined
using the
> following header columns:
> data$MODEL,
> data$FCST_VAR, data$FCST_LEV,
> data$OBS_VAR, data$OBS_LEV,
> data$OBTYPE, data$VX_MASK,
> data$INTERP_MTHD, data$INTERP_PNTS,
> data$ALPHA
>
> The first plot in the PDF output file is for the first case:
> WRF_TMP_P775-625_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_0.05
>
> Since you have 9 lead times, this plot is a time series of boxplots
showing
> the distribution of the RMSE values. The reason why the boxplots
are so
> boring is that you only have a single RMSE value for each lead time
in the
> data you passed the script. If you were to pass this script the MET
output
> for 100 model initialization times, each boxplot would be comprised
of a 100
> RMSE values rather than a single one.
>
> So you just haven't passed the script enough data to make
interesting plots.
> For example, the following sample output shows what the plots would
look like
> with more data:
>
http://www.dtcenter.org/met/users/downloads/Rscripts/cnt_plots.pdf
>
> Hope that helps clarify.
>
> John
>
> On 04/16/2012 10:17 AM, Raby, John W USA CIV via RT wrote:
>>
>> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>>
>> John -
>>
>> Thanks for your offer to help.
>>
>> The command line is: Rscript plot_cnt.R
>> ~/MET_PointStat_30WRF/results_m1o1/20110626/*_cnt.txt
>>
>> The files are attached.
>>
>> R/
>> John
>> ________________________________________
>> From: John Halley Gotway via RT [met_help at ucar.edu]
>> Sent: Monday, April 16, 2012 10:06 AM
>> To: Raby, John W CIV (US)
>> Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
>>
>> John,
>>
>> If you'd like me to take a look at this, I'll need you to send me
the data
>> you're trying to plot (_cnt.txt files) - as well as the command
line you're
>> executing to run R.
>>
>> In general, the sample R-scripts we post on the MET website are
meant
>> to serve as examples for users to copy and adapt for their own
needs. So we
>> don't "support" them in the way we support the MET code. That
being said,
>> since you're the first user I'm aware of that's using this script,
I'm happy
>> to take a look to make sure the script doesn't have any obvious
problems.
>>
>> Thanks,
>> John Halley Gotway
>>
>>
>> On 04/16/2012 09:55 AM, Raby, John W USA CIV via RT wrote:
>>>
>>> Mon Apr 16 09:55:16 2012: Request 55898 was acted upon.
>>> Transaction: Ticket created by john.w.raby2.civ at mail.mil
>>> Queue: met_help
>>> Subject: Rscript for box plots
>>> Owner: Nobody
>>> Requestors: john.w.raby2.civ at mail.mil
>>> Status: new
>>> Ticket<URL:
>>> https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>>>
>>>
>>> I tried using plot_cnt.R as downloaded from the DTC MET site to
plot the
>>> default plots using Point-Stat _cnt.txt files and the box plots I
get are
>>> not the same. See attached.
>>>
>>> Each _cnt.txt file contains 28 different variables at different
levels. I
>>> have 9 forecast lead times and each contains a _cnt.txt file.
>>>
>>> Can you diagnose why my box plots are looking like a single value
of RMSE?
>>>
>>> Is there a way to use the percentiles of the errors statistics to
create
>>> box plots?
>>>
>>> Thanks.
>>>
>>> R/
>>> John
>>>
>>
>>
>
>
> Classification: UNCLASSIFIED
> Caveats: NONE
>
>
>
------------------------------------------------
Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots (UNCLASSIFIED)
From: John Halley Gotway
Time: Mon Apr 16 11:50:39 2012
John,
Glad that's working well for you. I notice that the pdf output plots
points using the letter 'q'. Not sure why that's happening, but I
found a fix for it. I've made a minor modification to the
script here:
http://www.dtcenter.org/met/users/downloads/Rscripts/plot_cnt.R
Try running the updated version of that script. The resulting plot
points should be little circles instead of 'q'.
Your understanding of the data is correct. The Rscript found 31
values of RMSE for that case in the data you passed it. It created
boxplots on page 1 using 31 values - the same 31 values that show
up in the time series plots on pages 2-10.
This really is just scratching the surface with R. There's a whole
lot of other plot types and analysis you can do in R. This script is
meant as an example to help get people going.
Thanks,
John
On 04/16/2012 11:19 AM, Raby, John W USA CIV via RT wrote:
>
> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>
> John -
>
> You do excellent work! Take a look at the attached. Much less
boring!
>
> I used your command verbatim.
>
> So, the box plots you produce with this script capture the error
percentiles directly from the RMSE variability produced by 31 model
realizations and not from the E10-E90 statistics which is a different
statistic in the _cnt.txt file. Is this correct?
>
> R/
> John
> ________________________________________
> From: John Halley Gotway via RT [met_help at ucar.edu]
> Sent: Monday, April 16, 2012 11:05 AM
> To: Raby, John W CIV (US)
> Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
(UNCLASSIFIED)
>
> John,
>
> Yes, giving the script stats from 30 model initializations should
yield boxplots consisting of 30 values each.
>
> If you run that Rscript with 0 arguments, it'll print out the usage
statement - which I've cut-and-pasted at the end of this message.
Notice in the usage statement that "file_list" is "one or more
> files containing CNT lines". Those files don't need to live in the
same directory. So just try using more wildcards when you call the
script. Something like:
> Rscript plot_cnt.R
~/MET_PointStat_30WRF/results_m1o1/20*/*_cnt.txt
>
> Also notice that the "-column" option enables you to plot data for
other columns. Open up that Rscript to see the list of data columns
in a CNT line. "RMSE" is just the default, but you could add:
> -column FBAR -column OBAR
> To get plots of the mean forecast and observation values.
>
> Lastly, since this Rscript identifies 64 "cases" in your data, it
creates a whole LOT of plots in the PDF file - 384 to be exact.
That's not really a problem, but if you wanted to narrow that down a
> bit, you could run a STAT-Analysis "filter" job on your MET output.
For example,
> stat_analysis -lookin ~/MET_PointStat_30WRF/results_m1o1/20* \
> -job filter -line_type CNT -fcst_var TMP -fcst_lev P775-625
-obtype ADPSFC -vx_mask FULL -interp_mthd DW_MEAN -interp_pnts 4 \
> -dump_row case_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_cnt.txt
>
> And then you could run the output of that filter job through the
Rscript:
> Rscript plot_cnt.R case_TMP_P775-
625_ADPSFC_FULL_DW_MEAN_4_cnt.txt -column RMSE -column FBAR -column
OBAR -out case_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_cnt.pdf
>
> Thanks,
> John
>
> [johnhg at rambler]% Rscript plot_cnt.R
> Usage: plot_cnt.R
> cnt_file_list
> [-column name]
> [-out name]
> [-save]
> where "file_list" is one or more files containing CNT
lines.
> "-column name" specifies a CNT statistic to be
plotted (multiple).
> "-out name" specifies an output PDF file name.
> "-save" calls save.image() before exiting R.
>
>
>
> On 04/16/2012 10:48 AM, Raby, John W USA CIV via RT wrote:
>>
>> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>>
>> Classification: UNCLASSIFIED
>> Caveats: NONE
>>
>> John -
>>
>> The 9 files I sent you were from a single WRF run which produced 9
forecasts
>> (9 lead times) for the date 20110626.
>>
>> I have the same exact number of _cnt.txt files (same model,
variables. lead
>> times, etc) for additional WRF runs on 30 more days, but they are
all in
>> separate directories such as 20110625, 20110624, 20110623, ...,
20110527. If I
>> were to move all these _cnt.txt files into one directory and run
the Rscript
>> command on all 279 files would that provide the ensemble of model
runs to give
>> the plots some depth?
>>
>> Thanks.
>>
>> R/
>> John
>>
>> -----Original Message-----
>> From: John Halley Gotway via RT [mailto:met_help at ucar.edu]
>> Sent: Monday, April 16, 2012 10:36 AM
>> To: Raby, John W CIV (US)
>> Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
>>
>> John,
>>
>> OK, I ran the Rscript on the data you sent and produced the same
results
>> you're seeing - a PDF file with 384 very boring plots.
>>
>> Now, I don't know what you were expecting, but I think the Rscript
is working
>> as expected. It identified 64 unique cases, where a case is
defined using the
>> following header columns:
>> data$MODEL,
>> data$FCST_VAR, data$FCST_LEV,
>> data$OBS_VAR, data$OBS_LEV,
>> data$OBTYPE, data$VX_MASK,
>> data$INTERP_MTHD, data$INTERP_PNTS,
>> data$ALPHA
>>
>> The first plot in the PDF output file is for the first case:
>> WRF_TMP_P775-625_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_0.05
>>
>> Since you have 9 lead times, this plot is a time series of boxplots
showing
>> the distribution of the RMSE values. The reason why the boxplots
are so
>> boring is that you only have a single RMSE value for each lead time
in the
>> data you passed the script. If you were to pass this script the
MET output
>> for 100 model initialization times, each boxplot would be comprised
of a 100
>> RMSE values rather than a single one.
>>
>> So you just haven't passed the script enough data to make
interesting plots.
>> For example, the following sample output shows what the plots would
look like
>> with more data:
>>
http://www.dtcenter.org/met/users/downloads/Rscripts/cnt_plots.pdf
>>
>> Hope that helps clarify.
>>
>> John
>>
>> On 04/16/2012 10:17 AM, Raby, John W USA CIV via RT wrote:
>>>
>>> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>>>
>>> John -
>>>
>>> Thanks for your offer to help.
>>>
>>> The command line is: Rscript plot_cnt.R
>>> ~/MET_PointStat_30WRF/results_m1o1/20110626/*_cnt.txt
>>>
>>> The files are attached.
>>>
>>> R/
>>> John
>>> ________________________________________
>>> From: John Halley Gotway via RT [met_help at ucar.edu]
>>> Sent: Monday, April 16, 2012 10:06 AM
>>> To: Raby, John W CIV (US)
>>> Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
>>>
>>> John,
>>>
>>> If you'd like me to take a look at this, I'll need you to send me
the data
>>> you're trying to plot (_cnt.txt files) - as well as the command
line you're
>>> executing to run R.
>>>
>>> In general, the sample R-scripts we post on the MET website are
meant
>>> to serve as examples for users to copy and adapt for their own
needs. So we
>>> don't "support" them in the way we support the MET code. That
being said,
>>> since you're the first user I'm aware of that's using this script,
I'm happy
>>> to take a look to make sure the script doesn't have any obvious
problems.
>>>
>>> Thanks,
>>> John Halley Gotway
>>>
>>>
>>> On 04/16/2012 09:55 AM, Raby, John W USA CIV via RT wrote:
>>>>
>>>> Mon Apr 16 09:55:16 2012: Request 55898 was acted upon.
>>>> Transaction: Ticket created by john.w.raby2.civ at mail.mil
>>>> Queue: met_help
>>>> Subject: Rscript for box plots
>>>> Owner: Nobody
>>>> Requestors: john.w.raby2.civ at mail.mil
>>>> Status: new
>>>> Ticket<URL:
>>>> https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>>>>
>>>>
>>>> I tried using plot_cnt.R as downloaded from the DTC MET site to
plot the
>>>> default plots using Point-Stat _cnt.txt files and the box plots I
get are
>>>> not the same. See attached.
>>>>
>>>> Each _cnt.txt file contains 28 different variables at different
levels. I
>>>> have 9 forecast lead times and each contains a _cnt.txt file.
>>>>
>>>> Can you diagnose why my box plots are looking like a single value
of RMSE?
>>>>
>>>> Is there a way to use the percentiles of the errors statistics to
create
>>>> box plots?
>>>>
>>>> Thanks.
>>>>
>>>> R/
>>>> John
>>>>
>>>
>>>
>>
>>
>> Classification: UNCLASSIFIED
>> Caveats: NONE
>>
>>
>>
>
------------------------------------------------
Subject: Rscript for box plots
From: Raby, John W USA CIV
Time: Mon Apr 16 12:15:28 2012
John -
I looked closer at the pdf I sent you before and the points in the
time series looked like little circles to me, but I downloaded the new
script and tried it to generate the attached pdf. I can't see any
difference.
I am now realizing how powerful R is. Thanks for the assist in getting
me started.
R/
John
________________________________________
From: John Halley Gotway via RT [met_help at ucar.edu]
Sent: Monday, April 16, 2012 11:50 AM
To: Raby, John W CIV (US)
Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
(UNCLASSIFIED)
John,
Glad that's working well for you. I notice that the pdf output plots
points using the letter 'q'. Not sure why that's happening, but I
found a fix for it. I've made a minor modification to the
script here:
http://www.dtcenter.org/met/users/downloads/Rscripts/plot_cnt.R
Try running the updated version of that script. The resulting plot
points should be little circles instead of 'q'.
Your understanding of the data is correct. The Rscript found 31
values of RMSE for that case in the data you passed it. It created
boxplots on page 1 using 31 values - the same 31 values that show
up in the time series plots on pages 2-10.
This really is just scratching the surface with R. There's a whole
lot of other plot types and analysis you can do in R. This script is
meant as an example to help get people going.
Thanks,
John
On 04/16/2012 11:19 AM, Raby, John W USA CIV via RT wrote:
>
> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>
> John -
>
> You do excellent work! Take a look at the attached. Much less
boring!
>
> I used your command verbatim.
>
> So, the box plots you produce with this script capture the error
percentiles directly from the RMSE variability produced by 31 model
realizations and not from the E10-E90 statistics which is a different
statistic in the _cnt.txt file. Is this correct?
>
> R/
> John
> ________________________________________
> From: John Halley Gotway via RT [met_help at ucar.edu]
> Sent: Monday, April 16, 2012 11:05 AM
> To: Raby, John W CIV (US)
> Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
(UNCLASSIFIED)
>
> John,
>
> Yes, giving the script stats from 30 model initializations should
yield boxplots consisting of 30 values each.
>
> If you run that Rscript with 0 arguments, it'll print out the usage
statement - which I've cut-and-pasted at the end of this message.
Notice in the usage statement that "file_list" is "one or more
> files containing CNT lines". Those files don't need to live in the
same directory. So just try using more wildcards when you call the
script. Something like:
> Rscript plot_cnt.R
~/MET_PointStat_30WRF/results_m1o1/20*/*_cnt.txt
>
> Also notice that the "-column" option enables you to plot data for
other columns. Open up that Rscript to see the list of data columns
in a CNT line. "RMSE" is just the default, but you could add:
> -column FBAR -column OBAR
> To get plots of the mean forecast and observation values.
>
> Lastly, since this Rscript identifies 64 "cases" in your data, it
creates a whole LOT of plots in the PDF file - 384 to be exact.
That's not really a problem, but if you wanted to narrow that down a
> bit, you could run a STAT-Analysis "filter" job on your MET output.
For example,
> stat_analysis -lookin ~/MET_PointStat_30WRF/results_m1o1/20* \
> -job filter -line_type CNT -fcst_var TMP -fcst_lev P775-625
-obtype ADPSFC -vx_mask FULL -interp_mthd DW_MEAN -interp_pnts 4 \
> -dump_row case_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_cnt.txt
>
> And then you could run the output of that filter job through the
Rscript:
> Rscript plot_cnt.R case_TMP_P775-
625_ADPSFC_FULL_DW_MEAN_4_cnt.txt -column RMSE -column FBAR -column
OBAR -out case_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_cnt.pdf
>
> Thanks,
> John
>
> [johnhg at rambler]% Rscript plot_cnt.R
> Usage: plot_cnt.R
> cnt_file_list
> [-column name]
> [-out name]
> [-save]
> where "file_list" is one or more files containing CNT
lines.
> "-column name" specifies a CNT statistic to be
plotted (multiple).
> "-out name" specifies an output PDF file name.
> "-save" calls save.image() before exiting R.
>
>
>
> On 04/16/2012 10:48 AM, Raby, John W USA CIV via RT wrote:
>>
>> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>>
>> Classification: UNCLASSIFIED
>> Caveats: NONE
>>
>> John -
>>
>> The 9 files I sent you were from a single WRF run which produced 9
forecasts
>> (9 lead times) for the date 20110626.
>>
>> I have the same exact number of _cnt.txt files (same model,
variables. lead
>> times, etc) for additional WRF runs on 30 more days, but they are
all in
>> separate directories such as 20110625, 20110624, 20110623, ...,
20110527. If I
>> were to move all these _cnt.txt files into one directory and run
the Rscript
>> command on all 279 files would that provide the ensemble of model
runs to give
>> the plots some depth?
>>
>> Thanks.
>>
>> R/
>> John
>>
>> -----Original Message-----
>> From: John Halley Gotway via RT [mailto:met_help at ucar.edu]
>> Sent: Monday, April 16, 2012 10:36 AM
>> To: Raby, John W CIV (US)
>> Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
>>
>> John,
>>
>> OK, I ran the Rscript on the data you sent and produced the same
results
>> you're seeing - a PDF file with 384 very boring plots.
>>
>> Now, I don't know what you were expecting, but I think the Rscript
is working
>> as expected. It identified 64 unique cases, where a case is
defined using the
>> following header columns:
>> data$MODEL,
>> data$FCST_VAR, data$FCST_LEV,
>> data$OBS_VAR, data$OBS_LEV,
>> data$OBTYPE, data$VX_MASK,
>> data$INTERP_MTHD, data$INTERP_PNTS,
>> data$ALPHA
>>
>> The first plot in the PDF output file is for the first case:
>> WRF_TMP_P775-625_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_0.05
>>
>> Since you have 9 lead times, this plot is a time series of boxplots
showing
>> the distribution of the RMSE values. The reason why the boxplots
are so
>> boring is that you only have a single RMSE value for each lead time
in the
>> data you passed the script. If you were to pass this script the
MET output
>> for 100 model initialization times, each boxplot would be comprised
of a 100
>> RMSE values rather than a single one.
>>
>> So you just haven't passed the script enough data to make
interesting plots.
>> For example, the following sample output shows what the plots would
look like
>> with more data:
>>
http://www.dtcenter.org/met/users/downloads/Rscripts/cnt_plots.pdf
>>
>> Hope that helps clarify.
>>
>> John
>>
>> On 04/16/2012 10:17 AM, Raby, John W USA CIV via RT wrote:
>>>
>>> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>>>
>>> John -
>>>
>>> Thanks for your offer to help.
>>>
>>> The command line is: Rscript plot_cnt.R
>>> ~/MET_PointStat_30WRF/results_m1o1/20110626/*_cnt.txt
>>>
>>> The files are attached.
>>>
>>> R/
>>> John
>>> ________________________________________
>>> From: John Halley Gotway via RT [met_help at ucar.edu]
>>> Sent: Monday, April 16, 2012 10:06 AM
>>> To: Raby, John W CIV (US)
>>> Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
>>>
>>> John,
>>>
>>> If you'd like me to take a look at this, I'll need you to send me
the data
>>> you're trying to plot (_cnt.txt files) - as well as the command
line you're
>>> executing to run R.
>>>
>>> In general, the sample R-scripts we post on the MET website are
meant
>>> to serve as examples for users to copy and adapt for their own
needs. So we
>>> don't "support" them in the way we support the MET code. That
being said,
>>> since you're the first user I'm aware of that's using this script,
I'm happy
>>> to take a look to make sure the script doesn't have any obvious
problems.
>>>
>>> Thanks,
>>> John Halley Gotway
>>>
>>>
>>> On 04/16/2012 09:55 AM, Raby, John W USA CIV via RT wrote:
>>>>
>>>> Mon Apr 16 09:55:16 2012: Request 55898 was acted upon.
>>>> Transaction: Ticket created by john.w.raby2.civ at mail.mil
>>>> Queue: met_help
>>>> Subject: Rscript for box plots
>>>> Owner: Nobody
>>>> Requestors: john.w.raby2.civ at mail.mil
>>>> Status: new
>>>> Ticket<URL:
>>>> https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>>>>
>>>>
>>>> I tried using plot_cnt.R as downloaded from the DTC MET site to
plot the
>>>> default plots using Point-Stat _cnt.txt files and the box plots I
get are
>>>> not the same. See attached.
>>>>
>>>> Each _cnt.txt file contains 28 different variables at different
levels. I
>>>> have 9 forecast lead times and each contains a _cnt.txt file.
>>>>
>>>> Can you diagnose why my box plots are looking like a single value
of RMSE?
>>>>
>>>> Is there a way to use the percentiles of the errors statistics to
create
>>>> box plots?
>>>>
>>>> Thanks.
>>>>
>>>> R/
>>>> John
>>>>
>>>
>>>
>>
>>
>> Classification: UNCLASSIFIED
>> Caveats: NONE
>>
>>
>>
>
------------------------------------------------
Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots (UNCLASSIFIED)
From: John Halley Gotway
Time: Mon Apr 16 13:10:19 2012
John,
Great. Must be something to do with my pdf viewer that was causing
the letter 'q' instead of the little circle. Anyway, I'm glad it's
working fine for you.
I'll go ahead and resolve this ticket.
John
On 04/16/2012 12:15 PM, Raby, John W USA CIV via RT wrote:
>
> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>
> John -
>
> I looked closer at the pdf I sent you before and the points in the
time series looked like little circles to me, but I downloaded the new
script and tried it to generate the attached pdf. I can't see any
difference.
>
> I am now realizing how powerful R is. Thanks for the assist in
getting me started.
>
> R/
> John
>
> ________________________________________
> From: John Halley Gotway via RT [met_help at ucar.edu]
> Sent: Monday, April 16, 2012 11:50 AM
> To: Raby, John W CIV (US)
> Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
(UNCLASSIFIED)
>
> John,
>
> Glad that's working well for you. I notice that the pdf output
plots points using the letter 'q'. Not sure why that's happening, but
I found a fix for it. I've made a minor modification to the
> script here:
> http://www.dtcenter.org/met/users/downloads/Rscripts/plot_cnt.R
>
> Try running the updated version of that script. The resulting plot
points should be little circles instead of 'q'.
>
> Your understanding of the data is correct. The Rscript found 31
values of RMSE for that case in the data you passed it. It created
boxplots on page 1 using 31 values - the same 31 values that show
> up in the time series plots on pages 2-10.
>
> This really is just scratching the surface with R. There's a whole
lot of other plot types and analysis you can do in R. This script is
meant as an example to help get people going.
>
> Thanks,
> John
>
> On 04/16/2012 11:19 AM, Raby, John W USA CIV via RT wrote:
>>
>> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>>
>> John -
>>
>> You do excellent work! Take a look at the attached. Much less
boring!
>>
>> I used your command verbatim.
>>
>> So, the box plots you produce with this script capture the error
percentiles directly from the RMSE variability produced by 31 model
realizations and not from the E10-E90 statistics which is a different
statistic in the _cnt.txt file. Is this correct?
>>
>> R/
>> John
>> ________________________________________
>> From: John Halley Gotway via RT [met_help at ucar.edu]
>> Sent: Monday, April 16, 2012 11:05 AM
>> To: Raby, John W CIV (US)
>> Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
(UNCLASSIFIED)
>>
>> John,
>>
>> Yes, giving the script stats from 30 model initializations should
yield boxplots consisting of 30 values each.
>>
>> If you run that Rscript with 0 arguments, it'll print out the usage
statement - which I've cut-and-pasted at the end of this message.
Notice in the usage statement that "file_list" is "one or more
>> files containing CNT lines". Those files don't need to live in the
same directory. So just try using more wildcards when you call the
script. Something like:
>> Rscript plot_cnt.R
~/MET_PointStat_30WRF/results_m1o1/20*/*_cnt.txt
>>
>> Also notice that the "-column" option enables you to plot data for
other columns. Open up that Rscript to see the list of data columns
in a CNT line. "RMSE" is just the default, but you could add:
>> -column FBAR -column OBAR
>> To get plots of the mean forecast and observation values.
>>
>> Lastly, since this Rscript identifies 64 "cases" in your data, it
creates a whole LOT of plots in the PDF file - 384 to be exact.
That's not really a problem, but if you wanted to narrow that down a
>> bit, you could run a STAT-Analysis "filter" job on your MET output.
For example,
>> stat_analysis -lookin ~/MET_PointStat_30WRF/results_m1o1/20*
\
>> -job filter -line_type CNT -fcst_var TMP -fcst_lev P775-
625 -obtype ADPSFC -vx_mask FULL -interp_mthd DW_MEAN -interp_pnts 4 \
>> -dump_row case_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_cnt.txt
>>
>> And then you could run the output of that filter job through the
Rscript:
>> Rscript plot_cnt.R case_TMP_P775-
625_ADPSFC_FULL_DW_MEAN_4_cnt.txt -column RMSE -column FBAR -column
OBAR -out case_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_cnt.pdf
>>
>> Thanks,
>> John
>>
>> [johnhg at rambler]% Rscript plot_cnt.R
>> Usage: plot_cnt.R
>> cnt_file_list
>> [-column name]
>> [-out name]
>> [-save]
>> where "file_list" is one or more files containing
CNT lines.
>> "-column name" specifies a CNT statistic to be
plotted (multiple).
>> "-out name" specifies an output PDF file name.
>> "-save" calls save.image() before exiting
R.
>>
>>
>>
>> On 04/16/2012 10:48 AM, Raby, John W USA CIV via RT wrote:
>>>
>>> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>>>
>>> Classification: UNCLASSIFIED
>>> Caveats: NONE
>>>
>>> John -
>>>
>>> The 9 files I sent you were from a single WRF run which produced 9
forecasts
>>> (9 lead times) for the date 20110626.
>>>
>>> I have the same exact number of _cnt.txt files (same model,
variables. lead
>>> times, etc) for additional WRF runs on 30 more days, but they are
all in
>>> separate directories such as 20110625, 20110624, 20110623, ...,
20110527. If I
>>> were to move all these _cnt.txt files into one directory and run
the Rscript
>>> command on all 279 files would that provide the ensemble of model
runs to give
>>> the plots some depth?
>>>
>>> Thanks.
>>>
>>> R/
>>> John
>>>
>>> -----Original Message-----
>>> From: John Halley Gotway via RT [mailto:met_help at ucar.edu]
>>> Sent: Monday, April 16, 2012 10:36 AM
>>> To: Raby, John W CIV (US)
>>> Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
>>>
>>> John,
>>>
>>> OK, I ran the Rscript on the data you sent and produced the same
results
>>> you're seeing - a PDF file with 384 very boring plots.
>>>
>>> Now, I don't know what you were expecting, but I think the Rscript
is working
>>> as expected. It identified 64 unique cases, where a case is
defined using the
>>> following header columns:
>>> data$MODEL,
>>> data$FCST_VAR, data$FCST_LEV,
>>> data$OBS_VAR, data$OBS_LEV,
>>> data$OBTYPE, data$VX_MASK,
>>> data$INTERP_MTHD, data$INTERP_PNTS,
>>> data$ALPHA
>>>
>>> The first plot in the PDF output file is for the first case:
>>> WRF_TMP_P775-625_TMP_P775-625_ADPSFC_FULL_DW_MEAN_4_0.05
>>>
>>> Since you have 9 lead times, this plot is a time series of
boxplots showing
>>> the distribution of the RMSE values. The reason why the boxplots
are so
>>> boring is that you only have a single RMSE value for each lead
time in the
>>> data you passed the script. If you were to pass this script the
MET output
>>> for 100 model initialization times, each boxplot would be
comprised of a 100
>>> RMSE values rather than a single one.
>>>
>>> So you just haven't passed the script enough data to make
interesting plots.
>>> For example, the following sample output shows what the plots
would look like
>>> with more data:
>>>
http://www.dtcenter.org/met/users/downloads/Rscripts/cnt_plots.pdf
>>>
>>> Hope that helps clarify.
>>>
>>> John
>>>
>>> On 04/16/2012 10:17 AM, Raby, John W USA CIV via RT wrote:
>>>>
>>>> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>>>>
>>>> John -
>>>>
>>>> Thanks for your offer to help.
>>>>
>>>> The command line is: Rscript plot_cnt.R
>>>> ~/MET_PointStat_30WRF/results_m1o1/20110626/*_cnt.txt
>>>>
>>>> The files are attached.
>>>>
>>>> R/
>>>> John
>>>> ________________________________________
>>>> From: John Halley Gotway via RT [met_help at ucar.edu]
>>>> Sent: Monday, April 16, 2012 10:06 AM
>>>> To: Raby, John W CIV (US)
>>>> Subject: Re: [rt.rap.ucar.edu #55898] Rscript for box plots
>>>>
>>>> John,
>>>>
>>>> If you'd like me to take a look at this, I'll need you to send me
the data
>>>> you're trying to plot (_cnt.txt files) - as well as the command
line you're
>>>> executing to run R.
>>>>
>>>> In general, the sample R-scripts we post on the MET website are
meant
>>>> to serve as examples for users to copy and adapt for their own
needs. So we
>>>> don't "support" them in the way we support the MET code. That
being said,
>>>> since you're the first user I'm aware of that's using this
script, I'm happy
>>>> to take a look to make sure the script doesn't have any obvious
problems.
>>>>
>>>> Thanks,
>>>> John Halley Gotway
>>>>
>>>>
>>>> On 04/16/2012 09:55 AM, Raby, John W USA CIV via RT wrote:
>>>>>
>>>>> Mon Apr 16 09:55:16 2012: Request 55898 was acted upon.
>>>>> Transaction: Ticket created by john.w.raby2.civ at mail.mil
>>>>> Queue: met_help
>>>>> Subject: Rscript for box plots
>>>>> Owner: Nobody
>>>>> Requestors: john.w.raby2.civ at mail.mil
>>>>> Status: new
>>>>> Ticket<URL:
>>>>> https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=55898>
>>>>>
>>>>>
>>>>> I tried using plot_cnt.R as downloaded from the DTC MET site to
plot the
>>>>> default plots using Point-Stat _cnt.txt files and the box plots
I get are
>>>>> not the same. See attached.
>>>>>
>>>>> Each _cnt.txt file contains 28 different variables at different
levels. I
>>>>> have 9 forecast lead times and each contains a _cnt.txt file.
>>>>>
>>>>> Can you diagnose why my box plots are looking like a single
value of RMSE?
>>>>>
>>>>> Is there a way to use the percentiles of the errors statistics
to create
>>>>> box plots?
>>>>>
>>>>> Thanks.
>>>>>
>>>>> R/
>>>>> John
>>>>>
>>>>
>>>>
>>>
>>>
>>> Classification: UNCLASSIFIED
>>> Caveats: NONE
>>>
>>>
>>>
>>
>
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