[Met_help] [rt.rap.ucar.edu #84952] History for ceiling and visibility verification in MET
John Halley Gotway via RT
met_help at ucar.edu
Tue May 1 15:51:08 MDT 2018
----------------------------------------------------------------
Initial Request
----------------------------------------------------------------
Hi MET Help,
Several of us at EMC are interested in doing some verification of ceiling
and visibility using corresponding METAR observations in prepbufr files.
Speaking specifically, we would like to perform categorical statistics
based upon a variety of aviation thresholds (e.g. IFR, LIFR, etc.). Is this
possible in MET v7?
Thanks!
Jacob
----------------------------------------------------------------
Complete Ticket History
----------------------------------------------------------------
Subject: ceiling and visibility verification in MET
From: John Halley Gotway
Time: Tue May 01 13:41:37 2018
Jacob,
Yes, I certainly think that should be possible using met-7.0. If I
remember correctly, Perry and I worked through this not too long ago.
If you'd like, I could work up an example of calling pb2nc and
point_stat
to demonstrate it. But I'd need you to point me to a sample model
output
file and PREPBUFR file that you'd like to use.
Thanks,
John
On Tue, May 1, 2018 at 12:33 PM, Jacob Carley - NOAA Affiliate via RT
<
met_help at ucar.edu> wrote:
>
> Tue May 01 12:33:24 2018: Request 84952 was acted upon.
> Transaction: Ticket created by jacob.carley at noaa.gov
> Queue: met_help
> Subject: ceiling and visibility verification in MET
> Owner: Nobody
> Requestors: jacob.carley at noaa.gov
> Status: new
> Ticket <URL:
https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=84952 >
>
>
> Hi MET Help,
>
> Several of us at EMC are interested in doing some verification of
ceiling
> and visibility using corresponding METAR observations in prepbufr
files.
> Speaking specifically, we would like to perform categorical
statistics
> based upon a variety of aviation thresholds (e.g. IFR, LIFR, etc.).
Is this
> possible in MET v7?
>
> Thanks!
> Jacob
>
>
------------------------------------------------
Subject: ceiling and visibility verification in MET
From: Jacob Carley - NOAA Affiliate
Time: Tue May 01 13:52:09 2018
Hi John,
[cc'd Runhua Yang, as she's working on this project as well].
Wonderful - that would incredibly helpful.
I've put a sample grib2 file and an associated analysis file here on
gyre
(wcoss phase2):
/meso2/noscrub/Jacob.Carley/methelp
It's from a system that runs every 15 minutes, which hopefully isn't
an
issue for MET or METViewer (this particular file is valid at 1215Z
from
this morning).
Thanks again!
Jacob
On Tue, May 1, 2018 at 3:41 PM, John Halley Gotway via RT
<met_help at ucar.edu
> wrote:
> Jacob,
>
> Yes, I certainly think that should be possible using met-7.0. If I
> remember correctly, Perry and I worked through this not too long
ago.
>
> If you'd like, I could work up an example of calling pb2nc and
point_stat
> to demonstrate it. But I'd need you to point me to a sample model
output
> file and PREPBUFR file that you'd like to use.
>
> Thanks,
> John
>
> On Tue, May 1, 2018 at 12:33 PM, Jacob Carley - NOAA Affiliate via
RT <
> met_help at ucar.edu> wrote:
>
> >
> > Tue May 01 12:33:24 2018: Request 84952 was acted upon.
> > Transaction: Ticket created by jacob.carley at noaa.gov
> > Queue: met_help
> > Subject: ceiling and visibility verification in MET
> > Owner: Nobody
> > Requestors: jacob.carley at noaa.gov
> > Status: new
> > Ticket <URL:
https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=84952 >
> >
> >
> > Hi MET Help,
> >
> > Several of us at EMC are interested in doing some verification of
ceiling
> > and visibility using corresponding METAR observations in prepbufr
files.
> > Speaking specifically, we would like to perform categorical
statistics
> > based upon a variety of aviation thresholds (e.g. IFR, LIFR,
etc.). Is
> this
> > possible in MET v7?
> >
> > Thanks!
> > Jacob
> >
> >
>
>
------------------------------------------------
Subject: ceiling and visibility verification in MET
From: John Halley Gotway
Time: Tue May 01 14:50:59 2018
Jacob and Runhua,
Great, thanks. Here's the steps I took with this data:
(1) Run pb2nc using the "-index" option to the list observation
variable
names for each message type... takes a few minutes to run:
/usr/local/met-7.0/bin/pb2nc \
rtma2p5_ru.t1215z.prepbufr \
rtma2p5_ru.t1215z.prepbufr.nc \
PB2NCConfig_CandV \
-index -log index.log
I've attached the index.log file but here's a selection of the output
from
that run:
DEBUG 1: HOVI: HORIZONTAL
VISIBILITY
types: ADPSFC SFCSHP
DEBUG 1: CEILING: CLOUD CEILING (DERIVATIVE OF HOCB - HGT OF CLOUD
BASE) types: ADPSFC
You mentioned using METAR observations, but in that PREPBUFR file, I
only
see CEILING and visibility (HOVI) listed for the surface message
types.
(2) Configure PB2NC to retain the observation for C and V. See
attached
file PB2NC_CandV.
// Only keep surface message types
message_type = [ "ONLYSF" ];
// Only keep ceiling and visibility obs
obs_bufr_var = [ "CEILING", "HOVI" ];
// Out of convenience to get OBS to match GRIB2 variable names, rename
CEILING as CEIL and HOVI as VIS
obs_bufr_map = [
{ key = "CEILING"; val = "CEIL"; },
{ key = "HOVI"; val = "VIS"; }
];
(3) Rerun pb2nc to actually process these obs:
/usr/local/met-7.0/bin/pb2nc \
rtma2p5_ru.t1215z.prepbufr \
rtma2p5_ru.t1215z.prepbufr.nc \
PB2NCConfig_CandV
(4) Configure and run point_stat to do the vx. See attached
point_stat
config file. Since LIFR, IFR, MVFR, and VFR are defined in
feet/miles, I
used the convert() function to convert meters to those units prior to
verifying. You certainly don't need to do that... you could just
specify
the thresholds in meters instead:
/usr/local/met-7.0/bin/point_stat \
rtma2p5_ru.t1215z.2dvaranl_ndfd.grb2 \
rtma2p5_ru.t1215z.prepbufr.nc \
PointStatConfig_CandV \
-outdir out -v 3 -log run_ps.log
This yields 3214 matched pairs for ceiling and 3622 for visibility.
(5) I configured point_stat to dump the matched pairs (MPR) output
line
type. So I called the plot_mpr.R Rscript included with MET to see
some
plots of the data:
Rscript /usr/local/met-7.0/share/met/Rscripts/plot_mpr.R
out/point_stat_000000L_20180501_121500V_mpr.txt
The resulting PDF file is attached.
Looking at the scatter plot, there's a curious band of observation
values
around 65000 ft for ceiling... and around 10 miles for visibility.
You
should probably spend some time to understand this data and decide how
you
want to process it for verification.
Looking at the CTS output line type, I see that the equitable threat
scores
(i.e. GSS column) range between .14895 and .54148.
Hopefully that helps get you going.
Thanks,
John
On Tue, May 1, 2018 at 1:52 PM, Jacob Carley - NOAA Affiliate via RT <
met_help at ucar.edu> wrote:
>
> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=84952 >
>
> Hi John,
>
> [cc'd Runhua Yang, as she's working on this project as well].
>
> Wonderful - that would incredibly helpful.
>
> I've put a sample grib2 file and an associated analysis file here on
gyre
> (wcoss phase2):
>
> /meso2/noscrub/Jacob.Carley/methelp
>
> It's from a system that runs every 15 minutes, which hopefully isn't
an
> issue for MET or METViewer (this particular file is valid at 1215Z
from
> this morning).
>
> Thanks again!
> Jacob
>
>
>
>
>
>
>
> On Tue, May 1, 2018 at 3:41 PM, John Halley Gotway via RT <
> met_help at ucar.edu
> > wrote:
>
> > Jacob,
> >
> > Yes, I certainly think that should be possible using met-7.0. If
I
> > remember correctly, Perry and I worked through this not too long
ago.
> >
> > If you'd like, I could work up an example of calling pb2nc and
point_stat
> > to demonstrate it. But I'd need you to point me to a sample model
output
> > file and PREPBUFR file that you'd like to use.
> >
> > Thanks,
> > John
> >
> > On Tue, May 1, 2018 at 12:33 PM, Jacob Carley - NOAA Affiliate via
RT <
> > met_help at ucar.edu> wrote:
> >
> > >
> > > Tue May 01 12:33:24 2018: Request 84952 was acted upon.
> > > Transaction: Ticket created by jacob.carley at noaa.gov
> > > Queue: met_help
> > > Subject: ceiling and visibility verification in MET
> > > Owner: Nobody
> > > Requestors: jacob.carley at noaa.gov
> > > Status: new
> > > Ticket <URL:
https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=84952
> >
> > >
> > >
> > > Hi MET Help,
> > >
> > > Several of us at EMC are interested in doing some verification
of
> ceiling
> > > and visibility using corresponding METAR observations in
prepbufr
> files.
> > > Speaking specifically, we would like to perform categorical
statistics
> > > based upon a variety of aviation thresholds (e.g. IFR, LIFR,
etc.). Is
> > this
> > > possible in MET v7?
> > >
> > > Thanks!
> > > Jacob
> > >
> > >
> >
> >
>
>
------------------------------------------------
Subject: ceiling and visibility verification in MET
From: John Halley Gotway
Time: Tue May 01 14:50:59 2018
VERSION MODEL DESC 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 BASER BASER_NCL BASER_NCU
BASER_BCL BASER_BCU FMEAN FMEAN_NCL FMEAN_NCU FMEAN_BCL FMEAN_BCU
ACC ACC_NCL ACC_NCU ACC_BCL ACC_BCU FBIAS FBIAS_BCL FBIAS_BCU
PODY PODY_NCL PODY_NCU PODY_BCL PODY_BCU PODN PODN_NCL PODN_NCU
PODN_BCL PODN_BCU POFD POFD_NCL POFD_NCU POFD_BCL POFD_BCU FAR
FAR_NCL FAR_NCU FAR_BCL FAR_BCU CSI CSI_NCL CSI_NCU CSI_BCL
CSI_BCU GSS GSS_BCL GSS_BCU HK HK_NCL HK_NCU HK_BCL HK_BCU
HSS HSS_BCL HSS_BCU ODDS ODDS_NCL ODDS_NCU ODDS_BCL
ODDS_BCU LODDS LODDS_NCL LODDS_NCU LODDS_BCL LODDS_BCU ORSS
ORSS_NCL ORSS_NCU ORSS_BCL ORSS_BCU EDS EDS_NCL EDS_NCU EDS_BCL
EDS_BCU SEDS SEDS_NCL SEDS_NCU SEDS_BCL SEDS_BCU EDI EDI_NCL
EDI_NCU EDI_BCL EDI_BCU SEDI SEDI_NCL SEDI_NCU SEDI_BCL SEDI_BCU
BAGSS BAGSS_BCL BAGSS_BCU
V7.0 RTMA2p5 NA 000000 20180501_121500 20180501_121500 000000
20180501_104500 20180501_134500 CEIL L0 CEIL L0
ONLYSF FULL NEAREST 1 <500 <500 NA
0.05 CTS 3214 0.046049 0.039329 0.053852 NA NA
0.064095 0.056137 0.073093 NA NA 0.94151 0.93285
0.9491 NA NA 1.39189 NA NA 0.56081 0.54359
0.57789 NA NA 0.95988 0.95253 0.96614 NA NA
0.040117 0.033864 0.047469 NA NA 0.59709 0.58002 0.61392
NA NA 0.30627 0.29058 0.32243 NA NA 0.28111 NA
NA 0.52069 0.43981 0.60157 NA NA 0.43885 NA NA
30.55272 21.07484 44.29305 NA NA 3.41945 3.04808
3.79083 NA NA 0.93661 0.91382 0.95941 NA
NA 0.68364 0.61799 0.74929 NA NA 0.59321 0.53109 0.65533
NA NA 0.69514 0.61682 0.77346 NA NA 0.73409 0.61844
0.77183 NA NA 0.2553 NA NA
V7.0 RTMA2p5 NA 000000 20180501_121500 20180501_121500 000000
20180501_104500 20180501_134500 CEIL L0 CEIL L0
ONLYSF FULL NEAREST 1 <1000 <1000 NA
0.05 CTS 3214 0.10143 0.091465 0.11235 NA NA
0.16366 0.15127 0.17685 NA NA 0.8911 0.87986
0.90141 NA NA 1.6135 NA NA 0.76994 0.75507
0.78416 NA NA 0.90478 0.89414 0.91445 NA NA
0.095222 0.085552 0.10586 NA NA 0.52281 0.50553 0.54004
NA NA 0.41764 0.4007 0.43478 NA NA 0.3609 NA
NA 0.67472 0.62667 0.72276 NA NA 0.53039 NA NA
31.79942 23.88274 42.34033 NA NA 3.45945 3.17316
3.74574 NA NA 0.93902 0.9221 0.95595 NA
NA 0.79493 0.75316 0.8367 NA NA 0.60731 0.5699 0.64471
NA NA 0.79989 0.74381 0.85597 NA NA 0.82713 0.74842
0.85136 NA NA 0.32908 NA NA
V7.0 RTMA2p5 NA 000000 20180501_121500 20180501_121500 000000
20180501_104500 20180501_134500 CEIL L0 CEIL L0
ONLYSF FULL NEAREST 1 <3000 <3000 NA
0.05 CTS 3214 0.22931 0.2151 0.24416 NA NA
0.30741 0.29169 0.32358 NA NA 0.85034 0.83759
0.86226 NA NA 1.34057 NA NA 0.84396 0.83101
0.8561 NA NA 0.85224 0.83955 0.86409 NA NA
0.14776 0.13591 0.16045 NA NA 0.37045 0.35391 0.38729
NA NA 0.56392 0.54671 0.58097 NA NA 0.45119 NA
NA 0.6962 0.66637 0.72604 NA NA 0.62182 NA NA
31.19606 24.84076 39.1773 NA NA 3.44029 3.21249
3.6681 NA NA 0.93788 0.92417 0.95159 NA
NA 0.79341 0.75951 0.82731 NA NA 0.61494 0.58442 0.64547
NA NA 0.83702 0.79648 0.87756 NA NA 0.83923 0.79686
0.87718 NA NA 0.4241 NA NA
V7.0 RTMA2p5 NA 000000 20180501_121500 20180501_121500 000000
20180501_104500 20180501_134500 CEIL L0 CEIL L0
ONLYSF FULL NEAREST 1 >=3000 >=3000 NA
0.05 CTS 3214 0.77069 0.75584 0.7849 NA NA
0.69259 0.67642 0.70831 NA NA 0.85034 0.83759
0.86226 NA NA 0.89867 NA NA 0.85224 0.83955
0.86409 NA NA 0.84396 0.83101 0.8561 NA NA
0.15604 0.1439 0.16899 NA NA 0.051662 0.044531
0.059864 NA NA 0.81443 0.80062 0.82749 NA NA
0.45119 NA NA 0.6962 0.66702 0.72538 NA NA 0.62182
NA NA 31.19606 24.84076 39.1773 NA NA 3.44029
3.21249 3.6681 NA NA 0.93788 0.92417 0.95159
NA NA 0.23928 0.19094 0.28762 NA NA 0.49345 0.43519
0.55171 NA NA 0.8415 0.81911 0.8639 NA NA
0.83923 0.81888 0.86412 NA NA 0.55303 NA
NA
V7.0 RTMA2p5 NA 000000 20180501_121500 20180501_121500 000000
20180501_104500 20180501_134500 VIS Z0 VIS Z0
ONLYSF FULL NEAREST 1 <1 <1 NA
0.05 CTS 3622 0.017118 0.013376 0.021882 NA NA
0.019326 0.015326 0.024346 NA NA 0.9735 0.96774
0.97825 NA NA 1.12903 NA NA 0.29032 0.27577
0.30532 NA NA 0.98539 0.98094 0.98882 NA NA
0.014607 0.011182 0.01906 NA NA 0.74286 0.72837 0.75683
NA NA 0.15789 0.14638 0.17013 NA NA 0.14895 NA
NA 0.27572 0.16439 0.38704 NA NA 0.25928 NA NA
27.5979 14.95139 50.94135 NA NA 3.31774 2.7048
3.93067 NA NA 0.93006 0.8887 0.97143 NA
NA 0.53369 0.42116 0.64621 NA NA 0.51081 0.39996 0.62165
NA NA 0.54723 0.42381 0.67064 NA NA 0.56999 0.4181
0.67635 NA NA 0.14202 NA NA
V7.0 RTMA2p5 NA 000000 20180501_121500 20180501_121500 000000
20180501_104500 20180501_134500 VIS Z0 VIS Z0
ONLYSF FULL NEAREST 1 <3 <3 NA
0.05 CTS 3622 0.033959 0.028537 0.040369 NA NA
0.029818 0.024757 0.035874 NA NA 0.96825 0.96202
0.97348 NA NA 0.87805 NA NA 0.47154 0.45533
0.48782 NA NA 0.98571 0.9813 0.98909 NA NA
0.01429 0.010907 0.018702 NA NA 0.46296 0.44677 0.47923
NA NA 0.33526 0.32007 0.3508 NA NA 0.32086 NA
NA 0.45725 0.36882 0.54569 NA NA 0.48584 NA NA
61.55138 39.21317 96.6148 NA NA 4.11987 3.66901
4.57073 NA NA 0.96803 0.95384 0.98221 NA
NA 0.63634 0.5623 0.71039 NA NA 0.6678 0.59233 0.74327
NA NA 0.6993 0.62568 0.77292 NA NA 0.7289 0.62532
0.77328 NA NA 0.34162 NA NA
V7.0 RTMA2p5 NA 000000 20180501_121500 20180501_121500 000000
20180501_104500 20180501_134500 VIS Z0 VIS Z0
ONLYSF FULL NEAREST 1 <5 <5 NA
0.05 CTS 3622 0.054942 0.047982 0.062845 NA NA
0.057151 0.05005 0.06519 NA NA 0.96853 0.96232
0.97373 NA NA 1.0402 NA NA 0.73367 0.71903
0.74781 NA NA 0.98218 0.97733 0.986 NA NA
0.017821 0.013995 0.022668 NA NA 0.29469 0.28006 0.30974
NA NA 0.56154 0.54532 0.57762 NA NA 0.54148 NA
NA 0.71585 0.65308 0.77861 NA NA 0.70255 NA NA
151.82555 101.40397 227.3185 NA NA 5.02273 4.61911
5.42635 NA NA 0.98691 0.98167 0.99216 NA
NA 0.80711 0.76 0.85422 NA NA 0.79484 0.74805 0.84163
NA NA 0.85719 0.81375 0.90063 NA NA 0.88458 0.81864
0.89573 NA NA 0.53436 NA NA
V7.0 RTMA2p5 NA 000000 20180501_121500 20180501_121500 000000
20180501_104500 20180501_134500 VIS Z0 VIS Z0
ONLYSF FULL NEAREST 1 >=5 >=5 NA
0.05 CTS 3622 0.94506 0.93715 0.95202 NA NA
0.94285 0.93481 0.94995 NA NA 0.96853 0.96232
0.97373 NA NA 0.99766 NA NA 0.98218 0.97733
0.986 NA NA 0.73367 0.71903 0.74781 NA NA
0.26633 0.25219 0.28097 NA NA 0.01552 0.011977
0.020089 NA NA 0.9672 0.96089 0.97253 NA NA
0.54148 NA NA 0.71585 0.695 0.7367 NA NA 0.70255
NA NA 151.82555 101.40397 227.3185 NA NA 5.02273
4.61911 5.42635 NA NA 0.98691 0.98167 0.99216
NA NA 0.51722 0.42531 0.60913 NA NA 0.54863 0.45482
0.64244 NA NA 0.97318 0.96157 0.9848 NA NA
0.88458 0.93161 1.01476 NA NA 0.55245 NA
NA
------------------------------------------------
Subject: ceiling and visibility verification in MET
From: Jacob Carley - NOAA Affiliate
Time: Tue May 01 15:15:21 2018
Hi John,
Thanks so much! This is hugely helpful.
ADPSFC encompasses METAR observations, so that's correct.
This should be more than enough to get us rolling.
Thanks again!
Jacob
On Tue, May 1, 2018 at 4:50 PM, John Halley Gotway via RT
<met_help at ucar.edu
> wrote:
> Jacob and Runhua,
>
> Great, thanks. Here's the steps I took with this data:
>
> (1) Run pb2nc using the "-index" option to the list observation
variable
> names for each message type... takes a few minutes to run:
>
> /usr/local/met-7.0/bin/pb2nc \
> rtma2p5_ru.t1215z.prepbufr \
> rtma2p5_ru.t1215z.prepbufr.nc \
> PB2NCConfig_CandV \
> -index -log index.log
>
> I've attached the index.log file but here's a selection of the
output from
> that run:
> DEBUG 1: HOVI: HORIZONTAL
> VISIBILITY
> types: ADPSFC SFCSHP
> DEBUG 1: CEILING: CLOUD CEILING (DERIVATIVE OF HOCB - HGT OF
CLOUD
> BASE) types: ADPSFC
>
> You mentioned using METAR observations, but in that PREPBUFR file, I
only
> see CEILING and visibility (HOVI) listed for the surface message
types.
>
> (2) Configure PB2NC to retain the observation for C and V. See
attached
> file PB2NC_CandV.
>
> // Only keep surface message types
> message_type = [ "ONLYSF" ];
> // Only keep ceiling and visibility obs
> obs_bufr_var = [ "CEILING", "HOVI" ];
> // Out of convenience to get OBS to match GRIB2 variable names,
rename
> CEILING as CEIL and HOVI as VIS
> obs_bufr_map = [
> { key = "CEILING"; val = "CEIL"; },
> { key = "HOVI"; val = "VIS"; }
> ];
>
> (3) Rerun pb2nc to actually process these obs:
>
> /usr/local/met-7.0/bin/pb2nc \
> rtma2p5_ru.t1215z.prepbufr \
> rtma2p5_ru.t1215z.prepbufr.nc \
> PB2NCConfig_CandV
>
> (4) Configure and run point_stat to do the vx. See attached
point_stat
> config file. Since LIFR, IFR, MVFR, and VFR are defined in
feet/miles, I
> used the convert() function to convert meters to those units prior
to
> verifying. You certainly don't need to do that... you could just
specify
> the thresholds in meters instead:
>
> /usr/local/met-7.0/bin/point_stat \
> rtma2p5_ru.t1215z.2dvaranl_ndfd.grb2 \
> rtma2p5_ru.t1215z.prepbufr.nc \
> PointStatConfig_CandV \
> -outdir out -v 3 -log run_ps.log
>
> This yields 3214 matched pairs for ceiling and 3622 for visibility.
>
> (5) I configured point_stat to dump the matched pairs (MPR) output
line
> type. So I called the plot_mpr.R Rscript included with MET to see
some
> plots of the data:
>
> Rscript /usr/local/met-7.0/share/met/Rscripts/plot_mpr.R
> out/point_stat_000000L_20180501_121500V_mpr.txt
>
> The resulting PDF file is attached.
>
> Looking at the scatter plot, there's a curious band of observation
values
> around 65000 ft for ceiling... and around 10 miles for visibility.
You
> should probably spend some time to understand this data and decide
how you
> want to process it for verification.
>
> Looking at the CTS output line type, I see that the equitable threat
scores
> (i.e. GSS column) range between .14895 and .54148.
>
> Hopefully that helps get you going.
>
> Thanks,
> John
>
>
> On Tue, May 1, 2018 at 1:52 PM, Jacob Carley - NOAA Affiliate via RT
<
> met_help at ucar.edu> wrote:
>
> >
> > <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=84952 >
> >
> > Hi John,
> >
> > [cc'd Runhua Yang, as she's working on this project as well].
> >
> > Wonderful - that would incredibly helpful.
> >
> > I've put a sample grib2 file and an associated analysis file here
on gyre
> > (wcoss phase2):
> >
> > /meso2/noscrub/Jacob.Carley/methelp
> >
> > It's from a system that runs every 15 minutes, which hopefully
isn't an
> > issue for MET or METViewer (this particular file is valid at 1215Z
from
> > this morning).
> >
> > Thanks again!
> > Jacob
> >
> >
> >
> >
> >
> >
> >
> > On Tue, May 1, 2018 at 3:41 PM, John Halley Gotway via RT <
> > met_help at ucar.edu
> > > wrote:
> >
> > > Jacob,
> > >
> > > Yes, I certainly think that should be possible using met-7.0.
If I
> > > remember correctly, Perry and I worked through this not too long
ago.
> > >
> > > If you'd like, I could work up an example of calling pb2nc and
> point_stat
> > > to demonstrate it. But I'd need you to point me to a sample
model
> output
> > > file and PREPBUFR file that you'd like to use.
> > >
> > > Thanks,
> > > John
> > >
> > > On Tue, May 1, 2018 at 12:33 PM, Jacob Carley - NOAA Affiliate
via RT <
> > > met_help at ucar.edu> wrote:
> > >
> > > >
> > > > Tue May 01 12:33:24 2018: Request 84952 was acted upon.
> > > > Transaction: Ticket created by jacob.carley at noaa.gov
> > > > Queue: met_help
> > > > Subject: ceiling and visibility verification in MET
> > > > Owner: Nobody
> > > > Requestors: jacob.carley at noaa.gov
> > > > Status: new
> > > > Ticket <URL: https://rt.rap.ucar.edu/rt/
> Ticket/Display.html?id=84952
> > >
> > > >
> > > >
> > > > Hi MET Help,
> > > >
> > > > Several of us at EMC are interested in doing some verification
of
> > ceiling
> > > > and visibility using corresponding METAR observations in
prepbufr
> > files.
> > > > Speaking specifically, we would like to perform categorical
> statistics
> > > > based upon a variety of aviation thresholds (e.g. IFR, LIFR,
etc.).
> Is
> > > this
> > > > possible in MET v7?
> > > >
> > > > Thanks!
> > > > Jacob
> > > >
> > > >
> > >
> > >
> >
> >
>
>
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