[Met_help] [rt.rap.ucar.edu #60787] History for Computing pressure at mean sea level for GO Index
John Halley Gotway via RT
met_help at ucar.edu
Wed Apr 3 09:47:37 MDT 2013
----------------------------------------------------------------
Initial Request
----------------------------------------------------------------
Hi John,
I have a question about using StatAnalysis to compute the GO Index.
According to the Users Guide, SL1SL2 output for the various required
fields/levels must have already been computed in a previous step. In my
case, this would be computed with PointStat.
I understand how to tell PointStat to compute statistics for all the
required GO Index variables/levels except for pressure at mean sea level:
For example, I can add "WIND/P850" to the fcst_field[] array in the
PointStat config file to direct it to compute wind speed stats at 850 hPa.
But how do I tell PointStat to compute statistics for pressure at mean sea
level? I am thinking it would be some sort of similar directive, i.e.,
maybe "PRES/???" or "PRMSL/???", but I can't figure out what level to
specify.
Just in case it matters: I am using ascii2nc to process little_R point
observations.
Thanks for any help.
Kiana
----------------------------------------------------------------
Complete Ticket History
----------------------------------------------------------------
Subject: Re: [rt.rap.ucar.edu #60787] Computing pressure at mean sea level for GO Index
From: John Halley Gotway
Time: Tue Mar 26 12:58:21 2013
Kiana,
GRIB code 2 is for pressure-reduced to mean sea level, or PRMSL
(http://www.nco.ncep.noaa.gov/pmb/docs/on388/table2.html). To select
that field, you'd use this:
name = "PRMSL"; level = "Z0";
However, there are few issues I want to point out...
We do compute the GO Index for some of the testing we do in the DTC.
We use PREPBUFR data from NCEP for our verifying observations, and
they do include PRMSL observations. However, I don't know if
your little_r data stream includes this type of observation.
If so, great. If not, you have a couple of choices:
- You could simply not verify PRMSL. And then when you compute the GO
Index, that piece of it will just be left out of the computation.
STAT-Analysis should give you a warning message to that effect.
- Or you could choose to verify PRMSL against some range of pressure
levels. For example...
In the "fcst" section, use: name = "PRMSL"; level = "Z0";
And in the "obs" section, use: name = "PRES"; level = "P850-900";
That will compare any observations that fall between 900 and 850 to
the PRMSL field.
Lastly, I imagine you're using the GO Index for some good reason. We
generally find that it provides little diagnostic information about
the performance of the forecast. But some users do like
computing this as an overall metric. You should be aware that you can
create your own "customized" skill score index by setting up a STAT-
Analysis config file accordingly. By "customized", I mean
that you can specify your own set of forecast variables/level/lead
times and weights to be used in computing the overall score.
Hopefully that helps.
Just let me know if you have more questions.
Thanks,
John
On 03/26/2013 11:05 AM, Kiana L Ross via RT wrote:
>
> Tue Mar 26 11:05:05 2013: Request 60787 was acted upon.
> Transaction: Ticket created by Kiana.L.Ross at aero.org
> Queue: met_help
> Subject: Computing pressure at mean sea level for GO Index
> Owner: Nobody
> Requestors: Kiana.L.Ross at aero.org
> Status: new
> Ticket <URL:
https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=60787 >
>
>
> Hi John,
>
> I have a question about using StatAnalysis to compute the GO Index.
> According to the Users Guide, SL1SL2 output for the various required
> fields/levels must have already been computed in a previous step. In
my
> case, this would be computed with PointStat.
>
> I understand how to tell PointStat to compute statistics for all the
> required GO Index variables/levels except for pressure at mean sea
level:
> For example, I can add "WIND/P850" to the fcst_field[] array in the
> PointStat config file to direct it to compute wind speed stats at
850 hPa.
> But how do I tell PointStat to compute statistics for pressure at
mean sea
> level? I am thinking it would be some sort of similar directive,
i.e.,
> maybe "PRES/???" or "PRMSL/???", but I can't figure out what level
to
> specify.
>
> Just in case it matters: I am using ascii2nc to process little_R
point
> observations.
>
> Thanks for any help.
>
> Kiana
>
------------------------------------------------
Subject: Computing pressure at mean sea level for GO Index
From: Kiana L Ross
Time: Tue Mar 26 16:16:02 2013
Hi John,
Thanks so much for the quick response and the advice about the PRMSL
observations. I will definitely take all of it into account moving
forward.
I do have another (probably implementation) question: I seem to be
getting
the following warning message each time the level is in pressure units
(not vertical height units):
"WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P850" for lead time of "12" hours."
In other words, it seems to only find those STAT lines that correspond
to
vertical height levels, not pressure levels. I've looked through the
.stat
output files from PointStat and there are output lines corresponding
to
WIND at P850, etc., so I'm not sure what I'm doing wrong.
Is it possible that I'm setting -fcst_init_beg and -fcst_init_end
incorrectly? I am passing in the forecast model initialization date
and
hour for both.
Thanks again for any help.
Kiana
From: "John Halley Gotway via RT" <met_help at ucar.edu>
To: Kiana.L.Ross at aero.org,
Date: 03/26/2013 11:58 AM
Subject: Re: [rt.rap.ucar.edu #60787] Computing pressure at
mean
sea level for GO Index
Kiana,
GRIB code 2 is for pressure-reduced to mean sea level, or PRMSL (
http://www.nco.ncep.noaa.gov/pmb/docs/on388/table2.html). To select
that
field, you'd use this:
name = "PRMSL"; level = "Z0";
However, there are few issues I want to point out...
We do compute the GO Index for some of the testing we do in the DTC.
We
use PREPBUFR data from NCEP for our verifying observations, and they
do
include PRMSL observations. However, I don't know if
your little_r data stream includes this type of observation.
If so, great. If not, you have a couple of choices:
- You could simply not verify PRMSL. And then when you compute the GO
Index, that piece of it will just be left out of the computation.
STAT-Analysis should give you a warning message to that effect.
- Or you could choose to verify PRMSL against some range of pressure
levels. For example...
In the "fcst" section, use: name = "PRMSL"; level = "Z0";
And in the "obs" section, use: name = "PRES"; level = "P850-900";
That will compare any observations that fall between 900 and 850 to
the
PRMSL field.
Lastly, I imagine you're using the GO Index for some good reason. We
generally find that it provides little diagnostic information about
the
performance of the forecast. But some users do like
computing this as an overall metric. You should be aware that you can
create your own "customized" skill score index by setting up a
STAT-Analysis config file accordingly. By "customized", I mean
that you can specify your own set of forecast variables/level/lead
times
and weights to be used in computing the overall score.
Hopefully that helps.
Just let me know if you have more questions.
Thanks,
John
On 03/26/2013 11:05 AM, Kiana L Ross via RT wrote:
>
> Tue Mar 26 11:05:05 2013: Request 60787 was acted upon.
> Transaction: Ticket created by Kiana.L.Ross at aero.org
> Queue: met_help
> Subject: Computing pressure at mean sea level for GO Index
> Owner: Nobody
> Requestors: Kiana.L.Ross at aero.org
> Status: new
> Ticket <URL:
https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=60787 >
>
>
> Hi John,
>
> I have a question about using StatAnalysis to compute the GO Index.
> According to the Users Guide, SL1SL2 output for the various required
> fields/levels must have already been computed in a previous step. In
my
> case, this would be computed with PointStat.
>
> I understand how to tell PointStat to compute statistics for all the
> required GO Index variables/levels except for pressure at mean sea
level:
> For example, I can add "WIND/P850" to the fcst_field[] array in the
> PointStat config file to direct it to compute wind speed stats at
850
hPa.
> But how do I tell PointStat to compute statistics for pressure at
mean
sea
> level? I am thinking it would be some sort of similar directive,
i.e.,
> maybe "PRES/???" or "PRMSL/???", but I can't figure out what level
to
> specify.
>
> Just in case it matters: I am using ascii2nc to process little_R
point
> observations.
>
> Thanks for any help.
>
> Kiana
>
------------------------------------------------
Subject: Re: [rt.rap.ucar.edu #60787] Computing pressure at mean sea level for GO Index
From: John Halley Gotway
Time: Tue Mar 26 19:44:51 2013
Kiana,
Can't say off the top of my head. There are several possibilities.
Would you be able to send me some data so that I can understand
exactly
the behavior you're describing?
I'd need you to send me:
- one or more .stat files containing the input SL1L2 lines
- the stat_analysis configuration file and/or command line you're
using
- tell me which version of MET you're using
I'll run your job here to reproduce the warning message, and then I'll
be
able to tell you why it's showing up.
You could either send me the files via email or by posting it to our
anonymous ftp site with these instructions:
http://www.dtcenter.org/met/users/support/met_help.php#ftp
Thanks,
John
>
> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=60787 >
>
> Hi John,
>
> Thanks so much for the quick response and the advice about the PRMSL
> observations. I will definitely take all of it into account moving
> forward.
>
> I do have another (probably implementation) question: I seem to be
getting
> the following warning message each time the level is in pressure
units
> (not vertical height units):
>
> "WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO
Index
> variable "WIND" at level "P850" for lead time of "12" hours."
>
> In other words, it seems to only find those STAT lines that
correspond to
> vertical height levels, not pressure levels. I've looked through the
.stat
> output files from PointStat and there are output lines corresponding
to
> WIND at P850, etc., so I'm not sure what I'm doing wrong.
> Is it possible that I'm setting -fcst_init_beg and -fcst_init_end
> incorrectly? I am passing in the forecast model initialization date
and
> hour for both.
>
> Thanks again for any help.
>
> Kiana
>
>
>
>
>
> From: "John Halley Gotway via RT" <met_help at ucar.edu>
> To: Kiana.L.Ross at aero.org,
> Date: 03/26/2013 11:58 AM
> Subject: Re: [rt.rap.ucar.edu #60787] Computing pressure at
mean
> sea level for GO Index
>
>
>
> Kiana,
>
> GRIB code 2 is for pressure-reduced to mean sea level, or PRMSL (
> http://www.nco.ncep.noaa.gov/pmb/docs/on388/table2.html). To select
that
> field, you'd use this:
> name = "PRMSL"; level = "Z0";
>
> However, there are few issues I want to point out...
>
> We do compute the GO Index for some of the testing we do in the DTC.
We
> use PREPBUFR data from NCEP for our verifying observations, and they
do
> include PRMSL observations. However, I don't know if
> your little_r data stream includes this type of observation.
>
> If so, great. If not, you have a couple of choices:
> - You could simply not verify PRMSL. And then when you compute the
GO
> Index, that piece of it will just be left out of the computation.
> STAT-Analysis should give you a warning message to that effect.
> - Or you could choose to verify PRMSL against some range of pressure
> levels. For example...
> In the "fcst" section, use: name = "PRMSL"; level = "Z0";
> And in the "obs" section, use: name = "PRES"; level = "P850-900";
> That will compare any observations that fall between 900 and 850 to
the
> PRMSL field.
>
> Lastly, I imagine you're using the GO Index for some good reason.
We
> generally find that it provides little diagnostic information about
the
> performance of the forecast. But some users do like
> computing this as an overall metric. You should be aware that you
can
> create your own "customized" skill score index by setting up a
> STAT-Analysis config file accordingly. By "customized", I mean
> that you can specify your own set of forecast variables/level/lead
times
> and weights to be used in computing the overall score.
>
> Hopefully that helps.
>
> Just let me know if you have more questions.
>
> Thanks,
> John
>
> On 03/26/2013 11:05 AM, Kiana L Ross via RT wrote:
>>
>> Tue Mar 26 11:05:05 2013: Request 60787 was acted upon.
>> Transaction: Ticket created by Kiana.L.Ross at aero.org
>> Queue: met_help
>> Subject: Computing pressure at mean sea level for GO Index
>> Owner: Nobody
>> Requestors: Kiana.L.Ross at aero.org
>> Status: new
>> Ticket <URL:
https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=60787 >
>>
>>
>> Hi John,
>>
>> I have a question about using StatAnalysis to compute the GO Index.
>> According to the Users Guide, SL1SL2 output for the various
required
>> fields/levels must have already been computed in a previous step.
In my
>> case, this would be computed with PointStat.
>>
>> I understand how to tell PointStat to compute statistics for all
the
>> required GO Index variables/levels except for pressure at mean sea
> level:
>> For example, I can add "WIND/P850" to the fcst_field[] array in the
>> PointStat config file to direct it to compute wind speed stats at
850
> hPa.
>> But how do I tell PointStat to compute statistics for pressure at
mean
> sea
>> level? I am thinking it would be some sort of similar directive,
i.e.,
>> maybe "PRES/???" or "PRMSL/???", but I can't figure out what level
to
>> specify.
>>
>> Just in case it matters: I am using ascii2nc to process little_R
point
>> observations.
>>
>> Thanks for any help.
>>
>> Kiana
>>
>
>
>
------------------------------------------------
Subject: Computing pressure at mean sea level for GO Index
From: Kiana L Ross
Time: Mon Apr 01 17:54:56 2013
----- Forwarded by Kiana L Ross/West/Aerospace/US on 04/01/2013 04:53
PM
-----
From: Kiana L Ross/West/Aerospace/US
To: met_help at ucar.edu,
Date: 03/27/2013 10:01 AM
Subject: Re: [rt.rap.ucar.edu #60787] Computing pressure at
mean
sea level for GO Index
Hi John,
Thanks for being willing to help me with this. I've included my .stat
files in a zipped directory attached below. The command line argument
I'm
using is the following:
stat_analysis -lookin ${results_dir} -v -2 -job go_index
-fcst_init_beg
20130324_12 -fcst_init_end 20130324_12
I'm running MET version 2.0. (The good news is that they've recently
agreed to upgrade to MET version 4.0 + UPP post-processor. Hopefully
within the next month or so...)
Thanks again for all the help. I really appreciate it.
Kiana
[attachment "K.L. Ross MET stat files.zip" deleted by Kiana L
Ross/West/Aerospace/US]
From: "John Halley Gotway via RT" <met_help at ucar.edu>
To: Kiana.L.Ross at aero.org,
Date: 03/26/2013 06:44 PM
Subject: Re: [rt.rap.ucar.edu #60787] Computing pressure at
mean
sea level for GO Index
Kiana,
Can't say off the top of my head. There are several possibilities.
Would you be able to send me some data so that I can understand
exactly
the behavior you're describing?
I'd need you to send me:
- one or more .stat files containing the input SL1L2 lines
- the stat_analysis configuration file and/or command line you're
using
- tell me which version of MET you're using
I'll run your job here to reproduce the warning message, and then I'll
be
able to tell you why it's showing up.
You could either send me the files via email or by posting it to our
anonymous ftp site with these instructions:
http://www.dtcenter.org/met/users/support/met_help.php#ftp
Thanks,
John
>
> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=60787 >
>
> Hi John,
>
> Thanks so much for the quick response and the advice about the PRMSL
> observations. I will definitely take all of it into account moving
> forward.
>
> I do have another (probably implementation) question: I seem to be
getting
> the following warning message each time the level is in pressure
units
> (not vertical height units):
>
> "WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO
Index
> variable "WIND" at level "P850" for lead time of "12" hours."
>
> In other words, it seems to only find those STAT lines that
correspond
to
> vertical height levels, not pressure levels. I've looked through the
.stat
> output files from PointStat and there are output lines corresponding
to
> WIND at P850, etc., so I'm not sure what I'm doing wrong.
> Is it possible that I'm setting -fcst_init_beg and -fcst_init_end
> incorrectly? I am passing in the forecast model initialization date
and
> hour for both.
>
> Thanks again for any help.
>
> Kiana
>
>
>
>
>
> From: "John Halley Gotway via RT" <met_help at ucar.edu>
> To: Kiana.L.Ross at aero.org,
> Date: 03/26/2013 11:58 AM
> Subject: Re: [rt.rap.ucar.edu #60787] Computing pressure at
mean
> sea level for GO Index
>
>
>
> Kiana,
>
> GRIB code 2 is for pressure-reduced to mean sea level, or PRMSL (
> http://www.nco.ncep.noaa.gov/pmb/docs/on388/table2.html). To select
that
> field, you'd use this:
> name = "PRMSL"; level = "Z0";
>
> However, there are few issues I want to point out...
>
> We do compute the GO Index for some of the testing we do in the DTC.
We
> use PREPBUFR data from NCEP for our verifying observations, and they
do
> include PRMSL observations. However, I don't know if
> your little_r data stream includes this type of observation.
>
> If so, great. If not, you have a couple of choices:
> - You could simply not verify PRMSL. And then when you compute the
GO
> Index, that piece of it will just be left out of the computation.
> STAT-Analysis should give you a warning message to that effect.
> - Or you could choose to verify PRMSL against some range of pressure
> levels. For example...
> In the "fcst" section, use: name = "PRMSL"; level = "Z0";
> And in the "obs" section, use: name = "PRES"; level = "P850-900";
> That will compare any observations that fall between 900 and 850 to
the
> PRMSL field.
>
> Lastly, I imagine you're using the GO Index for some good reason.
We
> generally find that it provides little diagnostic information about
the
> performance of the forecast. But some users do like
> computing this as an overall metric. You should be aware that you
can
> create your own "customized" skill score index by setting up a
> STAT-Analysis config file accordingly. By "customized", I mean
> that you can specify your own set of forecast variables/level/lead
times
> and weights to be used in computing the overall score.
>
> Hopefully that helps.
>
> Just let me know if you have more questions.
>
> Thanks,
> John
>
> On 03/26/2013 11:05 AM, Kiana L Ross via RT wrote:
>>
>> Tue Mar 26 11:05:05 2013: Request 60787 was acted upon.
>> Transaction: Ticket created by Kiana.L.Ross at aero.org
>> Queue: met_help
>> Subject: Computing pressure at mean sea level for GO Index
>> Owner: Nobody
>> Requestors: Kiana.L.Ross at aero.org
>> Status: new
>> Ticket <URL:
https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=60787
>
>>
>>
>> Hi John,
>>
>> I have a question about using StatAnalysis to compute the GO Index.
>> According to the Users Guide, SL1SL2 output for the various
required
>> fields/levels must have already been computed in a previous step.
In my
>> case, this would be computed with PointStat.
>>
>> I understand how to tell PointStat to compute statistics for all
the
>> required GO Index variables/levels except for pressure at mean sea
> level:
>> For example, I can add "WIND/P850" to the fcst_field[] array in the
>> PointStat config file to direct it to compute wind speed stats at
850
> hPa.
>> But how do I tell PointStat to compute statistics for pressure at
mean
> sea
>> level? I am thinking it would be some sort of similar directive,
i.e.,
>> maybe "PRES/???" or "PRMSL/???", but I can't figure out what level
to
>> specify.
>>
>> Just in case it matters: I am using ascii2nc to process little_R
point
>> observations.
>>
>> Thanks for any help.
>>
>> Kiana
>>
>
>
>
------------------------------------------------
Subject: Computing pressure at mean sea level for GO Index
From: John Halley Gotway
Time: Tue Apr 02 10:11:53 2013
Kiana,
Perhaps, you sent me the wrong dataset. When I tried to compute the
GO Index for the 20130324_12 initialization time, the job used 0 STAT
lines. Looking closely at the data, I believe you sent me
data for the 20130329_120000 initialization time. When I compute the
GO Index for that initialization time, I get the following output:
Processing Job 1: -job go_index -fcst_init_beg 20130329_120000
-fcst_init_end 20130329_120000
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P850" for lead time of "12" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P400" for lead time of "12" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P250" for lead time of "12" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P850" for lead time of "12" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P700" for lead time of "12" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P400" for lead time of "12" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "TMP" at level "P400" for lead time of "12" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "HGT" at level "P400" for lead time of "12" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P850" for lead time of "24" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P400" for lead time of "24" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P250" for lead time of "24" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P850" for lead time of "24" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P700" for lead time of "24" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P400" for lead time of "24" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "TMP" at level "P400" for lead time of "24" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "HGT" at level "P400" for lead time of "24" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P850" for lead time of "36" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P400" for lead time of "36" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P250" for lead time of "36" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P850" for lead time of "36" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P700" for lead time of "36" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P400" for lead time of "36" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "TMP" at level "P400" for lead time of "36" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "HGT" at level "P400" for lead time of "36" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P850" for lead time of "48" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P400" for lead time of "48" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P250" for lead time of "48" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P850" for lead time of "48" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P700" for lead time of "48" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P400" for lead time of "48" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "TMP" at level "P400" for lead time of "48" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "HGT" at level "P400" for lead time of "48" hours.
JOB_LIST: -job go_index -fcst_init_beg 20130329_120000
-fcst_init_end 20130329_120000
COL_NAME: GO_INDEX
GO_INDEX: 62.82412
Looking closely at the data and the code, I see what's going on. For
WIND at P850, for example, you compared it to a range of pressure
levels in the observations (P900-800). In the
"compute_go_index" function in
METv2.0/src/stat_analysis/stat_analysis_job.cc, we're only matching
lines where FCST_VAR = OBS_VAR = WIND and FCST_LEV = OBS_LEV = P850.
In your data, FCST_LEV = P850
but OBS_LEV = P900-800, so it's not using those lines in the GO Index
computations.
To test this out, I grepped out the SL1L2 data from the lines you sent
me and switched the OBS_LEV column to match the FCST_LEV column, and
then reran the GO Index job. Doing that resulted in a GO
Index with no warnings:
METv2.0/bin/stat_analysis \
-lookin go_index_20130329_120000.stat \
-job go_index \
-fcst_init_beg 20130329_120000 \
-fcst_init_end 20130329_120000 \
-v 4
Processing Job 1: -job go_index -fcst_init_beg 20130329_120000
-fcst_init_end 20130329_120000
JOB_LIST: -job go_index -fcst_init_beg 20130329_120000
-fcst_init_end 20130329_120000
COL_NAME: GO_INDEX
GO_INDEX: 29.73753
I've attached that modified input file (go_index_20130329_120000.stat)
to this message.
Now there are a few things I need to tell you about...
(1) There have been a whole *LOT* of updates to MET since METv2.0. In
fact, the computation of the GO Index itself has been corrected since
then.
Here are the notes for each release:
http://www.dtcenter.org/met/users/support/release_notes/index.php
And here are the list of known issues for each release:
http://www.dtcenter.org/met/users/support/known_issues/index.php
(2) METv4.0 corrected the computation of the GO Index to match how it
is defined by the Air Force Weather Agency. In METv2.0, the GO Index
is computed for a single model as the weighted average of a
bunch RMSE values. However, that's not how AFWA computes it. At
AFWA, the GO Index is computed using the output of 2 models. For each
of the pieces of the GO Index, a skill score is computed by
comparing the RMSE of the two models. The final GO Index value is a
weighted average of those skill scores. In METv4.0, the GO Index
computation matches how it is done at AFWA. A GO Index value > 1
means the first model was better while < 1 means the second model was
better. At AFWA, they use a persistence forecast for the reference
model.
Listed below is a block of comments from the METv4.0 code describing
the GO Index computations:
////////////////////////////////////////////////////////////////////////
//
// The do_job_ss_index() routine is used to compute the generalized
// Skill Score Index. This job can be configured to compute a
weighted
// average of skill scores derived from a configurable set of
variables,
// levels, lead times, and statistics. The skill score index is
// computed using two models, a forecast model and a reference model.
// For each statistic in the index, a skill score is computed as:
// SS = 1 - (S[model]*S[model])/(S[reference]*S[reference])
// Where S is the statistic.
// Next, a weighted average is computed over all the skill scores.
// Lastly, an index value is computed as:
// Index = sqrt(1/(1-SS[avg]))
// Where SS[avg] is the weighted average of skill scores.
//
////////////////////////////////////////////////////////////////////////
(3) In METv4.0, the GO Index is a specific version of what we've
called the Skill Score Index. And it's defined in a STAT-Analysis
configuration file. That means, you could define your own skill
score index however you'd like. You'd just set up a config file to
specify the variables/levels/statistics/lead times over which you want
to compute the skill score index.
(4) Lastly, we are currently working on METv4.1 and it should be out
in the next few weeks. Rather than switching to METv4.0, I'd suggest
switching to METv4.1, if possible.
Hope that helps.
Thanks,
John
On 04/01/2013 05:54 PM, Kiana L Ross via RT wrote:
>
> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=60787 >
>
> ----- Forwarded by Kiana L Ross/West/Aerospace/US on 04/01/2013
04:53 PM
> -----
>
> From: Kiana L Ross/West/Aerospace/US
> To: met_help at ucar.edu,
> Date: 03/27/2013 10:01 AM
> Subject: Re: [rt.rap.ucar.edu #60787] Computing pressure at
mean
> sea level for GO Index
>
>
> Hi John,
>
> Thanks for being willing to help me with this. I've included my
.stat
> files in a zipped directory attached below. The command line
argument I'm
> using is the following:
>
> stat_analysis -lookin ${results_dir} -v -2 -job go_index
-fcst_init_beg
> 20130324_12 -fcst_init_end 20130324_12
>
> I'm running MET version 2.0. (The good news is that they've recently
> agreed to upgrade to MET version 4.0 + UPP post-processor. Hopefully
> within the next month or so...)
>
> Thanks again for all the help. I really appreciate it.
>
> Kiana
>
> [attachment "K.L. Ross MET stat files.zip" deleted by Kiana L
> Ross/West/Aerospace/US]
>
>
>
> From: "John Halley Gotway via RT" <met_help at ucar.edu>
> To: Kiana.L.Ross at aero.org,
> Date: 03/26/2013 06:44 PM
> Subject: Re: [rt.rap.ucar.edu #60787] Computing pressure at
mean
> sea level for GO Index
>
>
>
> Kiana,
>
> Can't say off the top of my head. There are several possibilities.
>
> Would you be able to send me some data so that I can understand
exactly
> the behavior you're describing?
>
> I'd need you to send me:
> - one or more .stat files containing the input SL1L2 lines
> - the stat_analysis configuration file and/or command line you're
using
> - tell me which version of MET you're using
>
> I'll run your job here to reproduce the warning message, and then
I'll be
> able to tell you why it's showing up.
>
> You could either send me the files via email or by posting it to our
> anonymous ftp site with these instructions:
> http://www.dtcenter.org/met/users/support/met_help.php#ftp
>
> Thanks,
> John
>
>>
>> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=60787 >
>>
>> Hi John,
>>
>> Thanks so much for the quick response and the advice about the
PRMSL
>> observations. I will definitely take all of it into account moving
>> forward.
>>
>> I do have another (probably implementation) question: I seem to be
> getting
>> the following warning message each time the level is in pressure
units
>> (not vertical height units):
>>
>> "WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO
Index
>> variable "WIND" at level "P850" for lead time of "12" hours."
>>
>> In other words, it seems to only find those STAT lines that
correspond
> to
>> vertical height levels, not pressure levels. I've looked through
the
> .stat
>> output files from PointStat and there are output lines
corresponding to
>> WIND at P850, etc., so I'm not sure what I'm doing wrong.
>> Is it possible that I'm setting -fcst_init_beg and -fcst_init_end
>> incorrectly? I am passing in the forecast model initialization date
and
>> hour for both.
>>
>> Thanks again for any help.
>>
>> Kiana
>>
>>
>>
>>
>>
>> From: "John Halley Gotway via RT" <met_help at ucar.edu>
>> To: Kiana.L.Ross at aero.org,
>> Date: 03/26/2013 11:58 AM
>> Subject: Re: [rt.rap.ucar.edu #60787] Computing pressure at
mean
>> sea level for GO Index
>>
>>
>>
>> Kiana,
>>
>> GRIB code 2 is for pressure-reduced to mean sea level, or PRMSL (
>> http://www.nco.ncep.noaa.gov/pmb/docs/on388/table2.html). To
select
> that
>> field, you'd use this:
>> name = "PRMSL"; level = "Z0";
>>
>> However, there are few issues I want to point out...
>>
>> We do compute the GO Index for some of the testing we do in the
DTC. We
>> use PREPBUFR data from NCEP for our verifying observations, and
they do
>> include PRMSL observations. However, I don't know if
>> your little_r data stream includes this type of observation.
>>
>> If so, great. If not, you have a couple of choices:
>> - You could simply not verify PRMSL. And then when you compute the
GO
>> Index, that piece of it will just be left out of the computation.
>> STAT-Analysis should give you a warning message to that effect.
>> - Or you could choose to verify PRMSL against some range of
pressure
>> levels. For example...
>> In the "fcst" section, use: name = "PRMSL"; level = "Z0";
>> And in the "obs" section, use: name = "PRES"; level = "P850-
900";
>> That will compare any observations that fall between 900 and 850 to
the
>> PRMSL field.
>>
>> Lastly, I imagine you're using the GO Index for some good reason.
We
>> generally find that it provides little diagnostic information about
the
>> performance of the forecast. But some users do like
>> computing this as an overall metric. You should be aware that you
can
>> create your own "customized" skill score index by setting up a
>> STAT-Analysis config file accordingly. By "customized", I mean
>> that you can specify your own set of forecast variables/level/lead
times
>> and weights to be used in computing the overall score.
>>
>> Hopefully that helps.
>>
>> Just let me know if you have more questions.
>>
>> Thanks,
>> John
>>
>> On 03/26/2013 11:05 AM, Kiana L Ross via RT wrote:
>>>
>>> Tue Mar 26 11:05:05 2013: Request 60787 was acted upon.
>>> Transaction: Ticket created by Kiana.L.Ross at aero.org
>>> Queue: met_help
>>> Subject: Computing pressure at mean sea level for GO Index
>>> Owner: Nobody
>>> Requestors: Kiana.L.Ross at aero.org
>>> Status: new
>>> Ticket <URL:
https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=60787
>>
>>>
>>>
>>> Hi John,
>>>
>>> I have a question about using StatAnalysis to compute the GO
Index.
>>> According to the Users Guide, SL1SL2 output for the various
required
>>> fields/levels must have already been computed in a previous step.
In my
>>> case, this would be computed with PointStat.
>>>
>>> I understand how to tell PointStat to compute statistics for all
the
>>> required GO Index variables/levels except for pressure at mean sea
>> level:
>>> For example, I can add "WIND/P850" to the fcst_field[] array in
the
>>> PointStat config file to direct it to compute wind speed stats at
850
>> hPa.
>>> But how do I tell PointStat to compute statistics for pressure at
mean
>> sea
>>> level? I am thinking it would be some sort of similar directive,
i.e.,
>>> maybe "PRES/???" or "PRMSL/???", but I can't figure out what level
to
>>> specify.
>>>
>>> Just in case it matters: I am using ascii2nc to process little_R
point
>>> observations.
>>>
>>> Thanks for any help.
>>>
>>> Kiana
>>>
>>
>>
>>
>
>
>
>
------------------------------------------------
Subject: Computing pressure at mean sea level for GO Index
From: John Halley Gotway
Time: Tue Apr 02 10:11:53 2013
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P1000 TMP P1000 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 97 286.95849 285.79845 82015.80912 82351.22509 81687.85231
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P1000 TMP P1000 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 17 283.51425 284.56176 80678.12966 80383.50816 80980.91973
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P1000 TMP P1000 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 286.20663 286.42500 81977.16373 81915.06297 82040.27467
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P1000 TMP P1000 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 97 286.95849 285.79845 82015.80912 82351.22509 81687.85231
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P925 TMP P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 19 285.96504 283.40263 81045.63785 81780.11597 80324.88261
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P925 TMP P925 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 10 289.02708 288.95000 83514.34138 83536.72404 83492.54874
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P925 TMP P925 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 6 289.46313 289.64999 83843.24056 83789.33134 83897.64563
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P925 TMP P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 19 285.96504 283.40263 81045.63785 81780.11597 80324.88261
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P850 TMP P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 284.33732 282.28637 80267.06541 80849.93841 79698.50194
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P850 TMP P850 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 10 284.65414 284.53000 80994.75598 81030.00290 80961.97983
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P850 TMP P850 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 285.60965 285.80833 81629.45872 81572.98876 81690.37830
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P850 TMP P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 284.33732 282.28637 80267.06541 80849.93841 79698.50194
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P700 TMP P700 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 14 275.81576 275.01429 75854.78859 76075.41527 75637.30727
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P700 TMP P700 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 45 276.17263 275.21444 76006.75969 76271.37204 75745.04746
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P500 TMP P500 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 13 256.73917 258.29615 66314.78684 65915.00927 66721.16890
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P300 TMP P300 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 9 229.00934 229.51667 52561.24111 52445.32886 52718.13999
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P300 TMP P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 228.77811 228.75000 52332.99300 52339.42429 52326.56250
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P250 TMP P250 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 218.96762 216.75000 47461.18362 47946.94583 47019.37969
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P250 TMP P250 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 218.33184 212.25000 46340.93329 47669.02825 45050.06250
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P200 TMP P200 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 25 214.05138 211.20200 45207.90722 45818.37897 44625.15641
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P200 TMP P200 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 214.16009 212.25000 45455.48009 45864.79016 45050.06250
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P150 TMP P150 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 36 221.95293 211.51667 46946.84607 49263.16017 44750.72462
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P100 TMP P100 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 29 221.87124 212.17414 47074.92957 49228.14946 45025.29176
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P1000 WIND P1000 ONLYSF FULL DW_MEAN 4 NA NA NA
NA SL1L2 65 2.81656 4.82538 31.70318 10.35256 1213.64850
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P1000 WIND P1000 ADPUPA FULL DW_MEAN 4 NA NA NA
NA SL1L2 4 0.95340 2.85000 2.84687 1.17804 8.31000
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P1000 WIND P1000 AIRCFT FULL DW_MEAN 4 NA NA NA
NA SL1L2 12 1.88528 1.30833 2.17350 3.89473 2.23083
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P1000 WIND P1000 ADPSFC FULL DW_MEAN 4 NA NA NA
NA SL1L2 65 2.81656 4.82538 31.70318 10.35256 1213.64850
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P925 WIND P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 18 2.98367 16.91389 28.25829 11.15041 4165.27329
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P925 WIND P925 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 3.01793 3.35000 10.13982 9.12207 11.28500
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P925 WIND P925 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 6 2.77302 3.31667 9.28419 7.75140 12.93167
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P925 WIND P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 18 2.98367 16.91389 28.25829 11.15041 4165.27329
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P850 WIND P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 13 2.16036 42.60000 86.23094 5.05656 11468.38809
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P850 WIND P850 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 4.49933 4.65000 22.06735 20.44573 28.12500
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P850 WIND P850 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 1.40429 2.35000 3.45881 2.44341 7.05167
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P850 WIND P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 13 2.16036 42.60000 86.23094 5.05656 11468.38809
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P700 WIND P700 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 6.78400 5.95000 40.76276 48.55659 35.46500
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P700 WIND P700 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 45 5.51382 7.25111 40.24436 30.52686 54.88689
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P500 WIND P500 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 10.68293 13.65000 143.90642 116.47362 187.88499
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P300 WIND P300 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 4 16.56207 15.72500 265.65313 278.40308 262.93750
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P300 WIND P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 16.94418 12.90000 218.57992 287.10526 166.40999
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P250 WIND P250 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 6 20.51799 17.26667 354.07115 421.21415 318.27334
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P250 WIND P250 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 19.13580 16.45000 314.81247 366.18137 270.90499
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P200 WIND P200 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 8 22.23309 22.02500 489.85301 494.33749 506.57501
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P200 WIND P200 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 20.80997 16.45000 341.15765 437.55269 270.90499
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P150 WIND P150 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 8 26.65061 23.81250 637.16102 726.17290 585.07127
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P100 WIND P100 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 8 30.69453 20.06250 613.66295 959.68737 425.74876
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 DPT P1000 DPT P1000 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 95 283.32460 282.61211 80076.71710 80278.71494 79879.65023
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 DPT P1000 DPT P1000 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 17 281.68681 281.82647 79389.40968 79350.24229 79431.76191
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 DPT P1000 DPT P1000 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 95 283.32460 282.61211 80076.71710 80278.71494 79879.65023
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 DPT P925 DPT P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 19 276.70966 275.49210 76240.36241 76577.11943 75909.04285
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 DPT P925 DPT P925 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 10 278.24645 278.65000 77533.46176 77421.38977 77651.55877
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 DPT P925 DPT P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 19 276.70966 275.49210 76240.36241 76577.11943 75909.04285
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 DPT P850 DPT P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
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V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
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V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 DPT P200 DPT P200 ADPUPA FULL DW_MEAN 4 NA NA NA NA
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V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
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V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 PRMSL Z0 PRMSL Z0 ONLYSF FULL DW_MEAN 4 NA NA NA NA
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10356677271.23288
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 PRMSL Z0 PRMSL Z0 SFCSHP FULL DW_MEAN 4 NA NA NA NA
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10367042266.66667
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 PRMSL Z0 PRMSL Z0 ADPSFC FULL DW_MEAN 4 NA NA NA NA
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10353996668.96552
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 HGT P400 HGT P400 ADPUPA FULL DW_MEAN 4 NA NA NA NA
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54243450.00000
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP P400 TMP P400 ADPUPA FULL DW_MEAN 4 NA NA NA NA
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V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP Z2 TMP Z2 ONLYSF FULL DW_MEAN 4 NA NA NA NA SL1L2
128 284.69230 285.03437 81151.77361 81053.74814 81255.02800
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 TMP Z2 TMP Z2 ADPSFC FULL DW_MEAN 4 NA NA NA NA SL1L2
128 284.69230 285.03437 81151.77361 81053.74814 81255.02800
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND P400 WIND P400 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 12.24007 13.40000 164.15175 149.89201 179.80999
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND Z10 WIND Z10 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 96 2.73822 12.20729 29.23197 9.69257 3155.74080
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 WIND Z10 WIND Z10 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 96 2.73822 12.20729 29.23197 9.69257 3155.74080
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 DPT P400 DPT P400 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 9 230.46969 229.20555 52825.05943 53116.43581 52539.55759
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 DPT Z2 DPT Z2 ONLYSF FULL DW_MEAN 4 NA NA NA NA SL1L2
126 280.69268 280.61032 78782.82626 78806.11680 78764.82566
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 DPT Z2 DPT Z2 ADPSFC FULL DW_MEAN 4 NA NA NA NA SL1L2
126 280.69268 280.61032 78782.82626 78806.11680 78764.82566
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 UGRD P300 UGRD P300 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 9 15.54300 3.95359 65.81826 247.92337 23.36027
V2.0 WRF 000000 20130329_120000 20130329_120000 000000 20130329_114000
20130329_122000 UGRD P300 UGRD P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 16.91442 1.49817 25.34069 286.09751 2.24452
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 TMP P1000 TMP P1000 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 108 290.61127 291.86482 84827.58481 84465.22204 85195.06481
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 TMP P1000 TMP P1000 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 42 288.90426 287.43572 83043.81010 83469.23802 82623.58734
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 TMP P1000 TMP P1000 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 108 290.61127 291.86482 84827.58481 84465.22204 85195.06481
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 TMP P925 TMP P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 19 290.96301 294.61842 85724.01161 84661.47520 86802.47620
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 TMP P925 TMP P925 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 49 290.12446 289.49898 83990.88395 84173.72284 83810.08137
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 TMP P925 TMP P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 19 290.96301 294.61842 85724.01161 84661.47520 86802.47620
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 TMP P850 TMP P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 286.97021 290.80000 83451.54858 82353.79250 84574.48814
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 TMP P850 TMP P850 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 60 286.21048 285.79333 81797.37668 81916.59050 81683.19293
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 TMP P850 TMP P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 286.97021 290.80000 83451.54858 82353.79250 84574.48814
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 TMP P700 TMP P700 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 275.56388 281.95001 77695.24040 75935.45406 79495.80938
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 TMP P700 TMP P700 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 51 275.95005 276.00098 76162.79364 76148.59852 76182.85047
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 TMP P700 TMP P700 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 275.56388 281.95001 77695.24040 75935.45406 79495.80938
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 TMP P500 TMP P500 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 60 257.19230 256.88667 66069.64472 66148.26746 66001.02241
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 TMP P300 TMP P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 71 229.03582 227.92042 52202.40489 52457.58598 51971.11962
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 TMP P250 TMP P250 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 76 222.71837 219.38947 48864.09484 49604.93569 48156.07693
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 TMP P200 TMP P200 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 39 226.35562 215.09872 48688.91538 51246.77263 46273.60975
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 WIND P1000 WIND P1000 ONLYSF FULL DW_MEAN 4 NA NA NA
NA SL1L2 91 2.61218 4.32582 13.04319 7.74262 899.75061
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 WIND P1000 WIND P1000 AIRCFT FULL DW_MEAN 4 NA NA NA
NA SL1L2 42 1.98600 2.04762 3.92761 4.40971 5.60238
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 WIND P1000 WIND P1000 ADPSFC FULL DW_MEAN 4 NA NA NA
NA SL1L2 91 2.61218 4.32582 13.04319 7.74262 899.75061
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 WIND P925 WIND P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 14 3.01815 20.50357 62.74980 10.59154 5347.27756
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 WIND P925 WIND P925 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 49 2.32834 2.63469 6.21091 6.44728 8.67367
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 WIND P925 WIND P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 14 3.01815 20.50357 62.74980 10.59154 5347.27756
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 WIND P850 WIND P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 3.78037 1.80909 9.73966 17.02082 8.95182
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 WIND P850 WIND P850 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 60 2.83807 3.41167 10.90249 10.01043 13.81450
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 WIND P850 WIND P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 3.78037 1.80909 9.73966 17.02082 8.95182
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 WIND P700 WIND P700 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 2.33045 0.00000 0.00000 5.43101 0.00000
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 WIND P700 WIND P700 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 50 2.41976 3.13400 7.53241 6.38368 11.51220
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 WIND P700 WIND P700 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 2.33045 0.00000 0.00000 5.43101 0.00000
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 WIND P500 WIND P500 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 60 9.89339 10.90500 106.13552 99.81701 123.56217
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 WIND P300 WIND P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 71 12.60195 16.42254 208.12150 163.04209 297.05437
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 WIND P250 WIND P250 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 76 10.56127 16.20000 194.30366 133.96150 302.03973
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 WIND P200 WIND P200 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 39 15.34575 16.60000 284.16266 263.29001 320.89333
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 DPT P1000 DPT P1000 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 106 283.32623 284.18019 80519.54757 80278.49334 80765.47890
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 DPT P1000 DPT P1000 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 106 283.32623 284.18019 80519.54757 80278.49334 80765.47890
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 DPT P925 DPT P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 19 276.15668 275.79737 76168.08551 76266.91919 76078.92867
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 DPT P925 DPT P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 19 276.15668 275.79737 76168.08551 76266.91919 76078.92867
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 DPT P850 DPT P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 273.40060 273.56818 74793.58733 74750.22918 74845.22976
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 DPT P850 DPT P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 273.40060 273.56818 74793.58733 74750.22918 74845.22976
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 DPT P700 DPT P700 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 254.33680 270.75000 68861.68877 64687.20815 73305.56250
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 DPT P700 DPT P700 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 254.33680 270.75000 68861.68877 64687.20815 73305.56250
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 PRMSL Z0 PRMSL Z0 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 76 101958.87940 101934.60526 10393143135.33729 10395619629.39985
10390683722.36842
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 PRMSL Z0 PRMSL Z0 SFCSHP FULL DW_MEAN 4 NA NA NA NA
SL1L2 15 102029.27189 102023.33333 10409366504.78545 10409974790.26233
10408761713.33333
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 PRMSL Z0 PRMSL Z0 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 61 101941.56977 101912.78689 10389153782.19431 10392089671.81072
10386238314.75410
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 TMP P400 TMP P400 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 71 245.72797 243.86972 59925.43058 60382.33406 59483.29250
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 TMP Z2 TMP Z2 ONLYSF FULL DW_MEAN 4 NA NA NA NA SL1L2
142 292.27136 292.07747 85373.43163 85430.55808 85320.45741
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 TMP Z2 TMP Z2 ADPSFC FULL DW_MEAN 4 NA NA NA NA SL1L2
142 292.27136 292.07747 85373.43163 85430.55808 85320.45741
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 WIND P400 WIND P400 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 71 12.78277 12.84085 162.40860 168.98733 169.97845
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 WIND Z10 WIND Z10 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 119 3.08400 5.92353 20.63976 10.73096 1318.10514
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 WIND Z10 WIND Z10 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 119 3.08400 5.92353 20.63976 10.73096 1318.10514
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 DPT Z2 DPT Z2 ONLYSF FULL DW_MEAN 4 NA NA NA NA SL1L2
139 281.41113 281.96727 79367.61482 79209.91679 79530.21664
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 DPT Z2 DPT Z2 ADPSFC FULL DW_MEAN 4 NA NA NA NA SL1L2
139 281.41113 281.96727 79367.61482 79209.91679 79530.21664
V2.0 WRF 060000 20130329_180000 20130329_180000 000000 20130329_174000
20130329_182000 UGRD P300 UGRD P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 71 10.14641 5.25315 54.46228 106.55611 36.63829
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P1000 TMP P1000 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 111 291.31850 293.43739 85504.79930 84889.56663 86128.00868
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P1000 TMP P1000 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 5 288.62945 290.43000 83826.64955 83306.95690 84351.73778
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P1000 TMP P1000 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 115 288.07202 288.26130 83052.60078 83000.64468 83109.71238
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P1000 TMP P1000 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 111 291.31850 293.43739 85504.79930 84889.56663 86128.00868
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P925 TMP P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 20 294.82697 298.16000 87908.99252 86929.97141 88902.46687
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P925 TMP P925 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 288.24458 289.64999 83490.04089 83084.93800 83897.12897
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P925 TMP P925 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 101 290.81903 291.27376 84710.54356 84579.13864 84842.90471
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P925 TMP P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 20 294.82697 298.16000 87908.99252 86929.97141 88902.46687
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P850 TMP P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 13 287.74546 291.35769 83837.57742 82799.17586 84895.82409
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P850 TMP P850 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 4 287.22298 287.00001 82432.99798 82497.04129 82370.65189
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P850 TMP P850 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 99 286.89423 287.07929 82362.16206 82309.02656 82419.29928
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P850 TMP P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 13 287.74546 291.35769 83837.57742 82799.17586 84895.82409
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P700 TMP P700 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 6 276.75617 277.41667 76776.77517 76593.97964 76961.96252
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P700 TMP P700 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 116 275.92516 276.59655 76320.09935 76134.81872 76511.00000
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P500 TMP P500 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 5 257.69219 257.17000 66270.69978 66405.26585 66144.01599
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P500 TMP P500 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 81 256.96883 256.09815 65809.52114 66033.26315 65596.01596
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P300 TMP P300 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 4 228.99670 225.20000 51570.05618 52439.48691 50743.86787
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P300 TMP P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 98 228.47491 228.91837 52301.27003 52201.18423 52431.23987
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P250 TMP P250 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 5 224.05563 218.37000 48927.02827 50200.92548 47735.13103
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P250 TMP P250 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 103 223.56318 220.30534 49252.00893 49981.95445 48556.56813
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P200 TMP P200 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 236.26152 211.37727 49940.31611 55819.50620 44688.23012
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P200 TMP P200 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 56 232.04742 216.03929 50131.30107 53880.39801 46681.76141
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P150 TMP P150 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 18 234.92914 210.93889 49555.69149 55191.69952 44497.67418
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P150 TMP P150 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 3 232.32426 209.11667 48582.76890 53974.68659 43729.89002
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P100 TMP P100 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 18 219.19492 210.25000 46085.73227 48046.41328 44209.68508
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P1000 WIND P1000 ONLYSF FULL DW_MEAN 4 NA NA NA
NA SL1L2 106 4.35410 1.91321 8.77935 21.12047 8.02755
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P1000 WIND P1000 ADPUPA FULL DW_MEAN 4 NA NA NA
NA SL1L2 2 3.05840 4.10000 12.53945 9.35382 16.81000
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P1000 WIND P1000 AIRCFT FULL DW_MEAN 4 NA NA NA
NA SL1L2 114 4.66745 3.41491 16.55311 23.20910 13.67517
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P1000 WIND P1000 ADPSFC FULL DW_MEAN 4 NA NA NA
NA SL1L2 106 4.35410 1.91321 8.77935 21.12047 8.02755
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P925 WIND P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 18 5.28620 3.19444 18.03203 35.89082 17.68055
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P925 WIND P925 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 1.86790 2.60000 4.85655 3.48907 6.76000
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P925 WIND P925 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 101 2.52077 2.39109 7.50562 8.84035 7.52129
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P925 WIND P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 18 5.28620 3.19444 18.03203 35.89082 17.68055
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P850 WIND P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 4.76755 2.28333 13.63263 25.19257 15.82833
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P850 WIND P850 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 3.37217 4.60000 15.51200 11.37155 21.16000
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P850 WIND P850 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 99 2.60688 3.79798 10.35537 7.11124 19.45212
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P850 WIND P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 4.76755 2.28333 13.63263 25.19257 15.82833
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P700 WIND P700 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 3.40873 5.70000 19.42974 11.61942 32.49000
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P700 WIND P700 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 116 4.31336 6.06552 28.07574 22.84669 40.94069
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P500 WIND P500 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 9.11526 8.20000 74.74514 83.08798 67.24000
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P500 WIND P500 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 81 9.47437 7.59753 71.64444 91.08489 64.06370
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P300 WIND P300 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 21.14615 24.95000 527.59643 447.15964 633.72499
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P300 WIND P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 98 15.27558 20.07755 315.05439 247.21312 418.36449
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P250 WIND P250 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 3 22.44844 26.23333 588.89735 503.93237 698.96331
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P250 WIND P250 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 103 15.83856 21.24951 378.04519 300.58875 504.86068
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P200 WIND P200 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 4 27.55335 31.15000 858.28691 759.18725 982.72494
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P200 WIND P200 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 56 21.52022 21.51786 515.45498 542.88531 537.21892
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P150 WIND P150 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 4 29.74019 29.60000 880.30971 884.47911 904.60496
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P150 WIND P150 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 3 14.63837 18.50000 270.98800 214.84857 342.41667
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P100 WIND P100 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 4 29.00573 20.20000 585.91568 841.33219 458.86500
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 DPT P1000 DPT P1000 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 109 283.52989 283.58670 80412.99395 80397.90362 80434.79956
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 DPT P1000 DPT P1000 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 5 285.36256 285.41000 81445.32833 81431.79220 81463.06908
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 DPT P1000 DPT P1000 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 109 283.52989 283.58670 80412.99395 80397.90362 80434.79956
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 DPT P925 DPT P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 19 275.73911 273.45000 75416.98930 76056.26661 74796.60512
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 DPT P925 DPT P925 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 277.63618 276.64999 76808.04771 77081.84886 76536.02911
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 DPT P925 DPT P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 19 275.73911 273.45000 75416.98930 76056.26661 74796.60512
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 DPT P850 DPT P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 276.22653 276.25909 76314.69867 76309.85343 76329.47765
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 DPT P850 DPT P850 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 4 272.21880 267.50001 72818.52987 74103.07262 71562.80161
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 DPT P850 DPT P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 276.22653 276.25909 76314.69867 76309.85343 76329.47765
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 DPT P700 DPT P700 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 6 253.22851 256.91667 65058.62566 64124.68018 66040.64586
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 DPT P500 DPT P500 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 5 254.18365 252.17000 64097.49073 64609.32672 63595.27512
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 DPT P300 DPT P300 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 4 222.18599 218.70000 48592.07675 49366.61531 47864.11786
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 DPT P250 DPT P250 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 5 203.96704 211.57000 43153.30680 41602.55322 44816.37101
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 DPT P200 DPT P200 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 195.30408 204.37727 39915.71489 38143.68272 41777.94829
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 DPT P150 DPT P150 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 18 192.35040 203.55000 39152.92360 36998.67528 41434.79083
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 DPT P100 DPT P100 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 18 192.12480 201.80556 38771.85249 36911.93940 40733.32951
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 PRMSL Z0 PRMSL Z0 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 76 101845.02860 101714.86842 10359176585.88413 10372435835.08824
10345948351.31579
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 PRMSL Z0 PRMSL Z0 SFCSHP FULL DW_MEAN 4 NA NA NA NA
SL1L2 16 101974.97202 101838.75000 10385004105.53068 10398897001.57469
10371132500.00000
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 PRMSL Z0 PRMSL Z0 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 60 101810.37703 101681.83333 10352289247.31171 10365379524.02518
10339232578.33333
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 HGT P400 HGT P400 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 7416.18078 7410.00000 54953899.54629 54999737.29456
54908100.00000
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P400 TMP P400 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 3 246.27548 245.91667 60563.24399 60651.60978 60500.66914
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP P400 TMP P400 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 87 245.73488 244.69713 60130.80565 60385.78637 59890.54557
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP Z2 TMP Z2 ONLYSF FULL DW_MEAN 4 NA NA NA NA SL1L2
145 292.83333 293.85207 86067.05870 85768.26471 86370.93678
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 TMP Z2 TMP Z2 ADPSFC FULL DW_MEAN 4 NA NA NA NA SL1L2
145 292.83333 293.85207 86067.05870 85768.26471 86370.93678
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P400 WIND P400 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 11.91862 10.80000 128.72106 142.05342 116.64000
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND P400 WIND P400 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 87 13.51950 13.09655 177.52982 189.14948 178.96506
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND Z10 WIND Z10 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 137 4.71269 2.12993 10.67703 25.29435 10.04321
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 WIND Z10 WIND Z10 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 137 4.71269 2.12993 10.67703 25.29435 10.04321
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 DPT P400 DPT P400 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 3 239.24775 241.41666 57758.39310 57239.48588 58309.34672
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 DPT Z2 DPT Z2 ONLYSF FULL DW_MEAN 4 NA NA NA NA SL1L2
140 281.81679 281.54643 79365.94889 79441.28988 79297.68017
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 DPT Z2 DPT Z2 ADPSFC FULL DW_MEAN 4 NA NA NA NA SL1L2
140 281.81679 281.54643 79365.94889 79441.28988 79297.68017
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 UGRD P300 UGRD P300 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 4 17.49456 5.13455 89.82676 306.05979 31.27887
V2.0 WRF 120000 20130330_000000 20130330_000000 000000 20130329_234000
20130330_002000 UGRD P300 UGRD P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 98 12.28189 4.91213 60.84984 166.74744 31.23426
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 TMP P1000 TMP P1000 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 106 287.48098 287.95094 82788.82569 82655.90710 82925.90775
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 TMP P1000 TMP P1000 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 31 287.10543 287.69516 82606.69534 82437.95995 82778.99381
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 TMP P1000 TMP P1000 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 106 287.48098 287.95094 82788.82569 82655.90710 82925.90775
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 TMP P925 TMP P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 18 289.43339 290.38333 84050.51809 83777.66962 84327.38008
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 TMP P925 TMP P925 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 34 287.45856 289.51176 83222.61909 82632.72116 83817.69952
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 TMP P925 TMP P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 18 289.43339 290.38333 84050.51809 83777.66962 84327.38008
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 TMP P850 TMP P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 13 285.37051 284.45000 81173.24285 81436.68909 80915.75066
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 TMP P850 TMP P850 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 44 284.95399 286.07045 81517.15828 81198.87468 81839.32872
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 TMP P850 TMP P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 13 285.37051 284.45000 81173.24285 81436.68909 80915.75066
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 TMP P700 TMP P700 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 39 275.86086 275.15513 75904.78013 76099.35883 75716.12249
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 TMP P500 TMP P500 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 32 257.54090 257.39688 66290.32075 66327.39161 66260.70507
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 TMP P300 TMP P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 59 229.26657 229.92458 52713.76526 52563.55044 52884.19848
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 TMP P250 TMP P250 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 52 231.47413 223.10385 51646.27438 53588.05327 49799.75644
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 TMP P200 TMP P200 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 35 242.26881 214.78143 52034.99015 58721.79981 46143.84906
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 TMP P150 TMP P150 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 15 233.75690 211.09667 49346.55654 54645.22307 44562.39308
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 WIND P1000 WIND P1000 ONLYSF FULL DW_MEAN 4 NA NA NA
NA SL1L2 76 2.71697 0.82895 2.59691 14.59499 2.15316
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 WIND P1000 WIND P1000 AIRCFT FULL DW_MEAN 4 NA NA NA
NA SL1L2 31 1.77465 2.84839 5.13821 3.31182 10.83452
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 WIND P1000 WIND P1000 ADPSFC FULL DW_MEAN 4 NA NA NA
NA SL1L2 76 2.71697 0.82895 2.59691 14.59499 2.15316
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 WIND P925 WIND P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 15 6.34357 2.79333 20.15329 47.47449 13.76200
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 WIND P925 WIND P925 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 34 1.55872 2.08824 2.70128 3.77119 5.95882
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 WIND P925 WIND P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 15 6.34357 2.79333 20.15329 47.47449 13.76200
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 WIND P850 WIND P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 4.18675 1.68333 6.96264 19.96239 9.41667
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 WIND P850 WIND P850 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 44 3.03686 4.10682 12.35606 9.64506 20.27023
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 WIND P850 WIND P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 4.18675 1.68333 6.96264 19.96239 9.41667
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 WIND P700 WIND P700 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 39 8.53635 4.95641 40.92464 75.73651 27.65974
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 WIND P500 WIND P500 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 32 13.12281 13.02187 169.91396 175.29375 175.32094
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 WIND P300 WIND P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 59 17.70810 20.12373 412.16703 365.08257 484.10322
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 WIND P250 WIND P250 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 52 18.01844 22.88654 473.76334 377.50745 630.89172
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 WIND P200 WIND P200 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 35 28.35850 34.58000 1022.80837 831.35048 1357.92429
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 WIND P150 WIND P150 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 15 33.32848 45.26667 1511.79277 1123.94512 2070.81603
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 DPT P1000 DPT P1000 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 104 283.72327 283.87115 80543.97857 80504.35930 80587.38199
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 DPT P1000 DPT P1000 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 104 283.72327 283.87115 80543.97857 80504.35930 80587.38199
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 DPT P925 DPT P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 18 278.28189 276.27222 76885.72033 77449.09196 76334.30771
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 DPT P925 DPT P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 18 278.28189 276.27222 76885.72033 77449.09196 76334.30771
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 DPT P850 DPT P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 275.50511 276.15833 76080.90728 75907.53129 76275.15223
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 DPT P850 DPT P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 275.50511 276.15833 76080.90728 75907.53129 76275.15223
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 PRMSL Z0 PRMSL Z0 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 77 102120.14374 101884.67532 10404492971.97257 10428540476.07497
10380518768.83117
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 PRMSL Z0 PRMSL Z0 SFCSHP FULL DW_MEAN 4 NA NA NA NA
SL1L2 18 102170.70727 101961.66667 10417497060.29326 10438856235.88123
10396191661.11111
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 PRMSL Z0 PRMSL Z0 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 59 102104.71757 101861.18644 10400525622.99338 10425393295.11713
10375737208.47458
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 TMP P400 TMP P400 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 50 246.67235 245.50800 60560.35861 60847.48876 60287.17604
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 TMP Z2 TMP Z2 ONLYSF FULL DW_MEAN 4 NA NA NA NA SL1L2
138 286.70252 287.86739 82539.84575 82205.24867 82879.06696
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 TMP Z2 TMP Z2 ADPSFC FULL DW_MEAN 4 NA NA NA NA SL1L2
138 286.70252 287.86739 82539.84575 82205.24867 82879.06696
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 WIND P400 WIND P400 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 50 11.49371 14.58800 163.33223 137.13082 223.78800
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 WIND Z10 WIND Z10 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 103 2.86771 1.21456 4.48610 12.89139 4.69000
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 WIND Z10 WIND Z10 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 103 2.86771 1.21456 4.48610 12.89139 4.69000
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 DPT Z2 DPT Z2 ONLYSF FULL DW_MEAN 4 NA NA NA NA SL1L2
135 282.51205 282.09296 79706.05549 79824.16769 79592.72601
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 DPT Z2 DPT Z2 ADPSFC FULL DW_MEAN 4 NA NA NA NA SL1L2
135 282.51205 282.09296 79706.05549 79824.16769 79592.72601
V2.0 WRF 180000 20130330_060000 20130330_060000 000000 20130330_054000
20130330_062000 UGRD P300 UGRD P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 59 13.98650 5.38761 76.10052 246.49779 37.77783
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P1000 TMP P1000 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 95 287.24758 286.91211 82418.31998 82515.70905 82325.16798
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P1000 TMP P1000 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 10 286.36409 284.47000 81463.34979 82005.04415 80926.44546
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P1000 TMP P1000 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 9 286.85341 286.52777 82191.55035 82284.93067 82098.83388
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P1000 TMP P1000 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 95 287.24758 286.91211 82418.31998 82515.70905 82325.16798
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P925 TMP P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 16 287.20876 287.35625 82533.20961 82491.92373 82580.54450
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P925 TMP P925 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 15 285.92053 284.44333 81335.56798 81756.71545 80917.28776
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P925 TMP P925 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 285.35646 288.75833 82398.79209 81428.69287 83382.61298
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P925 TMP P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 16 287.20876 287.35625 82533.20961 82491.92373 82580.54450
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P850 TMP P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 284.74352 283.27727 80662.11862 81080.78750 80251.52163
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P850 TMP P850 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 282.45451 285.11364 80533.75884 79784.09671 81293.82225
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P850 TMP P850 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 284.68773 287.25833 81778.68285 81047.14203 82521.63279
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P850 TMP P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 284.74352 283.27727 80662.11862 81080.78750 80251.52163
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P700 TMP P700 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 10 272.03519 273.15000 74306.86215 74004.07435 74614.37650
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P700 TMP P700 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 6 275.22952 273.71667 75334.92231 75751.29239 74926.34752
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P500 TMP P500 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 16 258.04180 257.47500 66439.47013 66585.61253 66297.79421
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P500 TMP P500 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 7 258.17453 255.62143 65994.97173 66654.09275 65347.18296
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P300 TMP P300 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 7 228.25550 224.87857 51330.93924 52100.70558 50595.39453
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P300 TMP P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 8 229.13064 229.67500 52620.67766 52501.88850 52783.87466
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P250 TMP P250 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 10 230.12597 219.19000 50442.02877 52959.49302 48086.93690
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P250 TMP P250 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 13 230.35919 220.03462 50694.20952 53070.50418 48431.91163
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P200 TMP P200 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 20 245.59904 213.02000 52315.80280 60332.04754 45386.83402
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P200 TMP P200 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 9 243.48452 217.97222 53065.32419 59309.93088 47516.89139
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P150 TMP P150 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 29 233.32174 211.69138 49393.52351 54440.95686 44816.12437
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P100 TMP P100 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 30 217.54569 210.66333 45830.32722 47328.01767 44383.61330
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P1000 WIND P1000 ONLYSF FULL DW_MEAN 4 NA NA NA
NA SL1L2 84 2.19206 4.33155 6.66987 6.98462 929.42090
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P1000 WIND P1000 ADPUPA FULL DW_MEAN 4 NA NA NA
NA SL1L2 4 3.22016 1.70000 5.29011 10.58140 3.37000
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P1000 WIND P1000 AIRCFT FULL DW_MEAN 4 NA NA NA
NA SL1L2 8 1.41832 3.66250 5.32743 2.08783 14.37875
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P1000 WIND P1000 ADPSFC FULL DW_MEAN 4 NA NA NA
NA SL1L2 84 2.19206 4.33155 6.66987 6.98462 929.42090
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P925 WIND P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 5.27991 2.39091 18.75015 43.45320 9.37545
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P925 WIND P925 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 4.43732 5.15000 27.65937 22.17398 35.82500
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P925 WIND P925 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 1.04639 2.70000 2.56179 1.40398 8.75333
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P925 WIND P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 5.27991 2.39091 18.75015 43.45320 9.37545
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P850 WIND P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 10 3.38635 1.55000 6.40699 12.55991 7.28700
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P850 WIND P850 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 6.57531 6.15000 58.30564 55.27152 64.34500
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P850 WIND P850 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 3.09002 3.37500 10.11757 9.67128 13.57917
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P850 WIND P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 10 3.38635 1.55000 6.40699 12.55991 7.28700
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P700 WIND P700 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 9.31579 9.80000 106.75828 101.00888 112.84999
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P700 WIND P700 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 6 7.79262 10.70000 83.14330 60.75048 123.44666
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P500 WIND P500 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 13.63154 13.10000 183.05279 197.69291 173.30000
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P500 WIND P500 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 7 10.28611 10.60000 108.81915 106.49209 114.74571
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P300 WIND P300 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 4 19.23007 24.82500 466.34433 373.78982 655.61249
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P300 WIND P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 8 15.14955 21.41250 322.37278 236.48221 465.78377
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P250 WIND P250 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 6 25.58903 28.38333 739.37568 670.02876 857.49166
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P250 WIND P250 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 13 21.15841 26.27692 574.72002 486.38489 706.70615
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P200 WIND P200 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 7 21.95865 31.70000 700.50989 514.34967 1029.65855
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P200 WIND P200 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 9 21.54917 28.01111 589.66407 514.76731 797.27888
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P150 WIND P150 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 8 23.59611 31.28750 740.56775 592.14460 1016.74372
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P100 WIND P100 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 9 28.74849 22.33333 644.66777 827.22405 568.36666
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 DPT P1000 DPT P1000 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 93 283.46417 284.00161 80506.68383 80357.37441 80660.14582
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 DPT P1000 DPT P1000 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 10 283.83038 283.81000 80556.81142 80562.03346 80552.84313
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 DPT P1000 DPT P1000 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 93 283.46417 284.00161 80506.68383 80357.37441 80660.14582
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 DPT P925 DPT P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 16 278.32701 276.15000 76865.30921 77470.39279 76274.57604
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 DPT P925 DPT P925 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 15 274.33510 276.29000 75802.32621 75262.72427 76356.93089
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 DPT P925 DPT P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 16 278.32701 276.15000 76865.30921 77470.39279 76274.57604
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 DPT P850 DPT P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 8 273.51878 271.65000 74302.24569 74822.43168 73818.83337
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 DPT P850 DPT P850 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 275.25855 268.11364 73789.79868 75775.02966 71915.97668
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 DPT P850 DPT P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 8 273.51878 271.65000 74302.24569 74822.43168 73818.83337
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 DPT P700 DPT P700 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 10 270.05178 264.98000 71556.58076 72939.02136 70237.24984
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 DPT P500 DPT P500 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 16 254.73892 246.66875 62844.94752 64893.59178 60933.17022
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 DPT P300 DPT P300 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 7 221.35219 216.30714 47887.00331 49002.78041 46807.22307
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 DPT P250 DPT P250 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 10 200.98765 210.69000 42348.42408 40412.28271 44429.30688
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 DPT P200 DPT P200 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 20 192.46471 203.37000 39141.50313 37042.66473 41370.89899
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 DPT P150 DPT P150 ADPUPA FULL DW_MEAN 4 NA NA NA NA
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V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
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V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 PRMSL Z0 PRMSL Z0 ONLYSF FULL DW_MEAN 4 NA NA NA NA
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10359004954.79452
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 PRMSL Z0 PRMSL Z0 SFCSHP FULL DW_MEAN 4 NA NA NA NA
SL1L2 16 102058.88920 101900.62500 10399865523.25003 10416018346.63532
10383739431.25000
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 PRMSL Z0 PRMSL Z0 ADPSFC FULL DW_MEAN 4 NA NA NA NA
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10352061943.85965
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 HGT P400 HGT P400 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 7376.22662 7375.00000 54399936.05354 54409030.63703
54390850.00000
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P400 TMP P400 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 8 246.37950 248.00000 61102.69508 60703.21888 61518.95749
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP P400 TMP P400 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 8 245.85628 244.80000 60185.09247 60445.34141 59936.62370
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP Z2 TMP Z2 ONLYSF FULL DW_MEAN 4 NA NA NA NA SL1L2
123 286.13128 286.58171 82004.49195 81875.61446 82137.16364
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 TMP Z2 TMP Z2 ADPSFC FULL DW_MEAN 4 NA NA NA NA SL1L2
123 286.13128 286.58171 82004.49195 81875.61446 82137.16364
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P400 WIND P400 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 14.18684 13.65000 194.15428 205.32860 186.38499
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND P400 WIND P400 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 8 11.74350 13.50000 160.86628 139.65818 189.02500
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND Z10 WIND Z10 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 105 2.15339 3.86333 6.36623 6.24566 745.21291
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 WIND Z10 WIND Z10 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 105 2.15339 3.86333 6.36623 6.24566 745.21291
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 DPT P400 DPT P400 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 8 243.19221 240.01250 58382.01017 59146.65623 57676.17537
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 DPT Z2 DPT Z2 ONLYSF FULL DW_MEAN 4 NA NA NA NA SL1L2
118 282.29786 281.99068 79619.18459 79703.76731 79541.18444
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 DPT Z2 DPT Z2 ADPSFC FULL DW_MEAN 4 NA NA NA NA SL1L2
118 282.29786 281.99068 79619.18459 79703.76731 79541.18444
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 UGRD P300 UGRD P300 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 7 15.06037 8.75858 132.54087 234.63190 78.53713
V2.0 WRF 240000 20130330_120000 20130330_120000 000000 20130330_114000
20130330_122000 UGRD P300 UGRD P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 8 11.38705 5.63670 67.75500 145.33592 36.63429
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 TMP P1000 TMP P1000 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 100 290.31995 291.88100 84746.17976 84293.43262 85205.88906
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 TMP P1000 TMP P1000 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 84 287.55419 285.52024 82103.85443 82689.57734 81526.50743
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 TMP P1000 TMP P1000 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 100 290.31995 291.88100 84746.17976 84293.43262 85205.88906
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 TMP P925 TMP P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 18 291.00240 294.87778 85815.61455 84689.60434 86959.19544
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 TMP P925 TMP P925 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 64 285.80619 287.46094 82158.02483 81685.32751 82634.48238
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 TMP P925 TMP P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 18 291.00240 294.87778 85815.61455 84689.60434 86959.19544
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 TMP P850 TMP P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 10 284.46678 289.75000 82424.13810 80922.42817 83962.26428
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 TMP P850 TMP P850 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 70 283.24965 284.94429 80710.42449 80230.53922 81195.31472
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 TMP P850 TMP P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 10 284.46678 289.75000 82424.13810 80922.42817 83962.26428
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 TMP P700 TMP P700 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 64 273.26044 273.67031 74783.35219 74671.34362 74900.49240
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 TMP P500 TMP P500 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 73 258.86172 257.55274 66670.55973 67009.60108 66341.55641
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 TMP P300 TMP P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 91 232.37187 228.02253 52987.92581 53997.71697 52017.81594
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 TMP P250 TMP P250 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 103 233.77882 220.88301 51639.67046 54670.00947 48812.37977
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 TMP P200 TMP P200 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 52 241.21292 216.50000 52228.34076 58242.74385 46884.50583
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 TMP P150 TMP P150 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 3 224.89932 210.78334 47408.14466 50592.74974 44430.69002
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 WIND P1000 WIND P1000 ONLYSF FULL DW_MEAN 4 NA NA NA
NA SL1L2 72 3.77117 1.04583 3.99817 15.84537 3.11958
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 WIND P1000 WIND P1000 AIRCFT FULL DW_MEAN 4 NA NA NA
NA SL1L2 84 4.22300 1.76310 7.11805 18.99008 4.28583
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 WIND P1000 WIND P1000 ADPSFC FULL DW_MEAN 4 NA NA NA
NA SL1L2 72 3.77117 1.04583 3.99817 15.84537 3.11958
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 WIND P925 WIND P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 4.35590 3.79091 18.24087 22.18792 21.04273
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 WIND P925 WIND P925 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 64 1.56149 2.09219 3.54903 2.83448 5.94672
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 WIND P925 WIND P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 4.35590 3.79091 18.24087 22.18792 21.04273
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 WIND P850 WIND P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 10 4.65437 2.55000 13.54137 24.97008 17.19300
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 WIND P850 WIND P850 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 70 1.99958 2.71857 5.45299 4.78832 9.14500
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 WIND P850 WIND P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 10 4.65437 2.55000 13.54137 24.97008 17.19300
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 WIND P700 WIND P700 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 64 8.39357 5.45625 45.50160 73.64217 33.75406
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 WIND P500 WIND P500 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 73 11.00331 10.01507 114.68953 133.62259 108.30233
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 WIND P300 WIND P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 91 18.74401 17.40440 338.89360 370.88006 329.69165
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 WIND P250 WIND P250 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 103 15.60906 22.39126 365.05280 274.00343 539.85524
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 WIND P200 WIND P200 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 52 20.85896 25.55577 533.62711 479.01569 683.67250
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 WIND P150 WIND P150 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 3 28.94377 29.16667 838.08325 863.46689 852.19663
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 DPT P1000 DPT P1000 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 98 283.16385 284.18367 80474.88086 80187.47344 80767.23534
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 DPT P1000 DPT P1000 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 98 283.16385 284.18367 80474.88086 80187.47344 80767.23534
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 DPT P925 DPT P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 17 276.79579 274.47353 75986.26747 76623.42167 75367.73310
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 DPT P925 DPT P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 17 276.79579 274.47353 75986.26747 76623.42167 75367.73310
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 DPT P850 DPT P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 9 273.94496 273.82778 75018.61047 75050.24763 75011.00539
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 DPT P850 DPT P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 9 273.94496 273.82778 75018.61047 75050.24763 75011.00539
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 PRMSL Z0 PRMSL Z0 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 75 102070.38348 101952.53333 10406356108.74993 10418382182.21143
10394358986.66667
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 PRMSL Z0 PRMSL Z0 SFCSHP FULL DW_MEAN 4 NA NA NA NA
SL1L2 16 102168.64380 102075.00000 10428864400.64958 10438433188.26783
10419307212.50000
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 PRMSL Z0 PRMSL Z0 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 59 102043.73662 101919.32203 10400252165.18393 10412944621.24699
10387593366.10169
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 TMP P400 TMP P400 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 77 246.23627 245.36169 60417.32227 60632.47977 60219.38140
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 TMP Z2 TMP Z2 ONLYSF FULL DW_MEAN 4 NA NA NA NA SL1L2
133 292.02354 292.01090 85282.02842 85285.58767 85282.35139
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 TMP Z2 TMP Z2 ADPSFC FULL DW_MEAN 4 NA NA NA NA SL1L2
133 292.02354 292.01090 85282.02842 85285.58767 85282.35139
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 WIND P400 WIND P400 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 77 15.02421 12.79870 194.74792 231.05219 169.25623
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 WIND Z10 WIND Z10 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 98 4.18264 1.54490 7.10812 19.53409 6.68367
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 WIND Z10 WIND Z10 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 98 4.18264 1.54490 7.10812 19.53409 6.68367
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 DPT Z2 DPT Z2 ONLYSF FULL DW_MEAN 4 NA NA NA NA SL1L2
129 281.92070 282.10891 79549.95514 79493.33646 79614.37163
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 DPT Z2 DPT Z2 ADPSFC FULL DW_MEAN 4 NA NA NA NA SL1L2
129 281.92070 282.10891 79549.95514 79493.33646 79614.37163
V2.0 WRF 300000 20130330_180000 20130330_180000 000000 20130330_174000
20130330_182000 UGRD P300 UGRD P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 91 15.24583 5.43862 85.41694 251.86887 36.72383
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P1000 TMP P1000 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 109 292.32174 293.72982 85878.63070 85464.43641 86300.44733
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P1000 TMP P1000 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 6 292.26330 289.81666 84702.77269 85417.83467 84000.93227
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P1000 TMP P1000 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 51 290.40771 288.10294 83687.77610 84355.90052 83028.00325
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P1000 TMP P1000 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 109 292.32174 293.72982 85878.63070 85464.43641 86300.44733
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P925 TMP P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 16 292.09471 298.06875 87071.30352 85325.29465 88855.03387
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P925 TMP P925 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 5 289.01942 289.27000 83604.64832 83532.22582 83677.27120
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P925 TMP P925 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 50 289.01264 290.01600 83826.38206 83535.60329 84118.72477
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P925 TMP P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 16 292.09471 298.06875 87071.30352 85325.29465 88855.03387
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P850 TMP P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 283.87598 290.65000 82510.64257 80587.07409 84486.90876
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P850 TMP P850 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 4 284.54173 287.25000 81734.61086 80963.99397 82512.75250
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P850 TMP P850 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 63 283.77274 286.38175 81270.55157 80529.82572 82022.22521
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P850 TMP P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 283.87598 290.65000 82510.64257 80587.07409 84486.90876
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P700 TMP P700 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 5 273.25092 274.19001 74922.67269 74666.06648 75184.57919
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P700 TMP P700 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 48 273.38728 274.99792 75180.96341 74741.18668 75628.47355
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P500 TMP P500 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 260.27762 260.05000 67685.19495 67744.43762 67626.36408
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P500 TMP P500 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 62 258.86703 258.10000 66813.52659 67012.35552 66627.82190
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P300 TMP P300 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 5 230.20233 228.85000 52681.80277 52993.11183 52404.64245
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P300 TMP P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 91 231.61168 228.31264 52879.80049 53646.50717 52154.19033
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P250 TMP P250 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 5 237.33399 221.17000 52491.15842 56327.42187 48951.01106
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P250 TMP P250 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 72 235.37558 221.37083 52110.26040 55422.01915 49025.42351
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P200 TMP P200 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 10 248.42312 214.73000 53343.89663 61714.04741 46116.56597
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P200 TMP P200 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 30 240.95514 215.45333 51914.49599 58105.78222 46422.95081
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P150 TMP P150 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 19 231.07853 211.73421 48927.23007 53397.28740 44835.97471
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P150 TMP P150 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 6 235.29043 213.23333 50171.43785 55361.65269 45470.11648
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P100 TMP P100 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 21 215.78962 210.24048 45367.71194 46565.15863 44202.89239
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P1000 WIND P1000 ONLYSF FULL DW_MEAN 4 NA NA NA
NA SL1L2 108 5.38968 4.89398 24.61827 33.09251 760.54619
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P1000 WIND P1000 ADPUPA FULL DW_MEAN 4 NA NA NA
NA SL1L2 2 3.56194 4.10000 14.60394 12.68739 16.81000
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P1000 WIND P1000 AIRCFT FULL DW_MEAN 4 NA NA NA
NA SL1L2 51 4.56093 4.27843 20.61528 21.46310 22.02039
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P1000 WIND P1000 ADPSFC FULL DW_MEAN 4 NA NA NA
NA SL1L2 108 5.38968 4.89398 24.61827 33.09251 760.54619
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P925 WIND P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 15 10.52161 4.68667 55.02571 118.49587 37.58067
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P925 WIND P925 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 6.64025 3.10000 20.58478 44.09293 9.61000
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P925 WIND P925 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 50 5.16275 3.70200 20.93306 29.95968 18.03220
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P925 WIND P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 15 10.52161 4.68667 55.02571 118.49587 37.58067
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P850 WIND P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 8.13458 2.55833 24.61538 70.33504 18.94250
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P850 WIND P850 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 6.93903 3.10000 21.51098 48.15008 9.61000
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P850 WIND P850 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 63 6.74810 3.07936 21.11670 46.97618 11.14571
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P850 WIND P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 8.13458 2.55833 24.61538 70.33504 18.94250
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P700 WIND P700 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 7.19562 5.70000 41.01503 51.77693 32.49000
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P700 WIND P700 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 47 7.02739 6.55957 48.06052 54.66730 48.07425
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P500 WIND P500 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 14.10041 11.80000 166.38481 198.82150 139.24000
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P500 WIND P500 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 61 14.04563 14.86721 217.04098 204.64996 238.20934
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P300 WIND P300 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 24.32844 26.00000 632.53949 591.87309 679.24000
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P300 WIND P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 91 20.11248 23.11099 477.73779 433.50826 558.24121
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P250 WIND P250 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 4 17.86354 32.82500 586.37081 319.10618 1126.88249
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P250 WIND P250 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 72 14.81251 26.04583 386.80356 270.36976 698.51986
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P200 WIND P200 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 4 25.71569 32.70000 840.90315 661.29686 1120.89499
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P200 WIND P200 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 30 23.80084 26.96000 619.71411 629.97768 744.55666
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P150 WIND P150 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 4 40.57261 30.37500 1232.39315 1646.13701 967.74749
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P150 WIND P150 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 6 21.50167 28.30000 614.44609 473.44412 809.09999
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P100 WIND P100 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 5 56.98256 22.34000 1272.99044 3247.01227 566.17402
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 DPT P1000 DPT P1000 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 106 279.67776 282.79623 79095.15631 78226.20980 79987.71848
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 DPT P1000 DPT P1000 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 6 281.99947 283.98333 80083.14849 79523.70252 80652.68235
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 DPT P1000 DPT P1000 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 106 279.67776 282.79623 79095.15631 78226.20980 79987.71848
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 DPT P925 DPT P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 16 274.68696 274.54375 75418.22709 75460.60484 75385.22062
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 DPT P925 DPT P925 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 5 270.64537 271.27000 73417.96973 73248.91607 73595.79119
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 DPT P925 DPT P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 16 274.68696 274.54375 75418.22709 75460.60484 75385.22062
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 DPT P850 DPT P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 275.69276 276.40455 76204.54292 76018.18796 76409.05766
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 DPT P850 DPT P850 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 4 277.36671 270.50000 75027.69509 76932.29189 73175.37747
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 DPT P850 DPT P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 275.69276 276.40455 76204.54292 76018.18796 76409.05766
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 DPT P700 DPT P700 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 5 272.49356 264.19001 71990.07569 74252.73972 69820.45902
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 DPT P500 DPT P500 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 231.33282 238.05000 55068.77561 53514.87140 56668.16032
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 DPT P300 DPT P300 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 5 203.19356 218.65000 44428.27152 41287.62213 47832.54246
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 DPT P250 DPT P250 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 5 194.75970 211.77000 41244.26091 37931.33892 44876.43103
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 DPT P200 DPT P200 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 10 192.14888 205.83000 39550.00420 36921.19294 42372.97600
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 DPT P150 DPT P150 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 19 192.12480 202.94474 38990.71712 36911.93940 41190.47473
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 DPT P100 DPT P100 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 21 192.12479 201.47857 38709.02766 36911.93354 40594.81618
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 PRMSL Z0 PRMSL Z0 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 74 101916.70747 101703.24324 10365296494.71951 10387047694.17065
10343610481.08108
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 PRMSL Z0 PRMSL Z0 SFCSHP FULL DW_MEAN 4 NA NA NA NA
SL1L2 16 102034.88412 101862.50000 10393528654.34333 10411119162.03664
10375970375.00000
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 PRMSL Z0 PRMSL Z0 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 58 101884.10702 101659.31034 10357508312.75433 10380407289.24211
10334683613.79310
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 HGT P400 HGT P400 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 7411.84405 7410.00000 54921764.42556 54935432.25165
54908100.00000
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P400 TMP P400 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 246.19216 241.65000 59492.33606 60610.58009 58407.68323
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP P400 TMP P400 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 78 245.70467 244.23846 60010.67624 60371.14065 59670.06814
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP Z2 TMP Z2 ONLYSF FULL DW_MEAN 4 NA NA NA NA SL1L2
138 293.01909 293.91015 86136.00948 85874.62850 86406.91322
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 TMP Z2 TMP Z2 ADPSFC FULL DW_MEAN 4 NA NA NA NA SL1L2
138 293.01909 293.91015 86136.00948 85874.62850 86406.91322
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P400 WIND P400 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 1 11.37634 13.90000 158.13106 129.42101 193.20999
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND P400 WIND P400 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 78 17.35252 17.59744 311.29294 306.06033 322.51769
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND Z10 WIND Z10 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 136 6.12150 4.65919 23.93790 43.91498 609.90308
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 WIND Z10 WIND Z10 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 136 6.12150 4.65919 23.93790 43.91498 609.90308
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 DPT P400 DPT P400 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 228.33687 228.15000 52095.05619 52137.72410 52053.63319
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 DPT Z2 DPT Z2 ONLYSF FULL DW_MEAN 4 NA NA NA NA SL1L2
134 279.24550 281.16940 78527.81342 77992.22162 79080.07793
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 DPT Z2 DPT Z2 ADPSFC FULL DW_MEAN 4 NA NA NA NA SL1L2
134 279.24550 281.16940 78527.81342 77992.22162 79080.07793
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 UGRD P300 UGRD P300 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 5 20.35172 6.02490 122.61702 414.19234 45.50749
V2.0 WRF 360000 20130331_000000 20130331_000000 000000 20130330_234000
20130331_002000 UGRD P300 UGRD P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 91 17.32395 4.91619 85.59671 319.62706 32.32899
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 TMP P1000 TMP P1000 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 101 288.93965 287.52624 83082.36639 83491.76016 82683.02542
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 TMP P1000 TMP P1000 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 13 288.41541 285.66539 82390.33103 83183.46797 81605.56665
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 TMP P1000 TMP P1000 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 101 288.93965 287.52624 83082.36639 83491.76016 82683.02542
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 TMP P925 TMP P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 16 286.37850 287.99375 82478.14676 82015.02640 82951.22741
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 TMP P925 TMP P925 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 19 286.18931 286.00790 81855.78475 81907.10836 81804.87692
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 TMP P925 TMP P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 16 286.37850 287.99375 82478.14676 82015.02640 82951.22741
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 TMP P850 TMP P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 14 281.48448 281.99286 79376.51670 79233.94024 79523.03614
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 TMP P850 TMP P850 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 24 282.49976 283.80417 80179.06864 79810.37654 80552.09461
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 TMP P850 TMP P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 14 281.48448 281.99286 79376.51670 79233.94024 79523.03614
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 TMP P700 TMP P700 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 14 272.92022 274.82143 75004.43315 74485.64009 75529.16822
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 TMP P500 TMP P500 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 14 258.10019 257.38572 66431.33509 66616.24956 66262.02254
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 TMP P300 TMP P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 24 229.32099 228.40833 52377.92094 52590.16692 52192.37785
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 TMP P250 TMP P250 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 24 235.35363 220.36250 51864.44901 55402.00020 48580.36050
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 TMP P200 TMP P200 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 27 243.59210 215.53519 52508.08422 59353.77236 46463.99479
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 TMP P150 TMP P150 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 14 235.87677 213.94286 50463.90057 55638.66345 45772.57430
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 WIND P1000 WIND P1000 ONLYSF FULL DW_MEAN 4 NA NA NA
NA SL1L2 75 3.85253 1.34400 5.75620 26.79996 5.91707
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 WIND P1000 WIND P1000 AIRCFT FULL DW_MEAN 4 NA NA NA
NA SL1L2 13 3.86015 2.93077 11.86285 15.29443 11.84846
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 WIND P1000 WIND P1000 ADPSFC FULL DW_MEAN 4 NA NA NA
NA SL1L2 75 3.85253 1.34400 5.75620 26.79996 5.91707
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 WIND P925 WIND P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 14 7.24912 3.86429 37.73803 70.31966 24.09928
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 WIND P925 WIND P925 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 19 4.28300 4.67368 18.49960 20.57265 24.21474
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 WIND P925 WIND P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 14 7.24912 3.86429 37.73803 70.31966 24.09928
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 WIND P850 WIND P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 7.20782 1.68333 10.32545 62.61019 8.11000
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 WIND P850 WIND P850 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 24 6.73368 4.61250 31.58641 48.08435 27.58792
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 WIND P850 WIND P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 12 7.20782 1.68333 10.32545 62.61019 8.11000
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 WIND P700 WIND P700 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 14 10.41872 11.24286 119.96837 109.57038 139.98000
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 WIND P500 WIND P500 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 14 18.33719 20.72143 392.05005 353.15500 449.89500
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 WIND P300 WIND P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 24 35.27297 37.59583 1347.84574 1258.72364 1467.75122
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 WIND P250 WIND P250 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 24 31.29340 41.28333 1319.45180 1068.88294 1770.66335
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 WIND P200 WIND P200 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 27 26.29876 40.68889 1051.78896 756.35177 1701.42294
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 WIND P150 WIND P150 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 14 28.18482 40.65714 1143.25355 805.53189 1658.52992
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
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SL1L2 99 280.03376 282.93990 79234.71886 78424.56917 80061.45545
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 DPT P1000 DPT P1000 ADPSFC FULL DW_MEAN 4 NA NA NA NA
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V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 DPT P925 DPT P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
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V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 DPT P925 DPT P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 16 274.68095 274.69375 75455.20796 75452.49884 75468.20396
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 DPT P850 DPT P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
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V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 DPT P850 DPT P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 276.68722 274.05909 75830.67061 76560.40318 75121.39280
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 PRMSL Z0 PRMSL Z0 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 75 102114.90563 101871.20000 10402591184.95390 10427471829.97354
10377801069.33333
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 PRMSL Z0 PRMSL Z0 SFCSHP FULL DW_MEAN 4 NA NA NA NA
SL1L2 16 102171.19901 101987.50000 10420185067.60807 10438954316.63041
10401451762.50000
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 PRMSL Z0 PRMSL Z0 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 59 102099.63962 101839.66102 10397819962.53921 10424357935.28693
10371387322.03390
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 TMP P400 TMP P400 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 21 244.51927 243.56429 59556.99914 59790.23166 59346.40645
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 TMP Z2 TMP Z2 ONLYSF FULL DW_MEAN 4 NA NA NA NA SL1L2
135 286.78704 286.90407 82288.21076 82256.32031 82328.26804
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 TMP Z2 TMP Z2 ADPSFC FULL DW_MEAN 4 NA NA NA NA SL1L2
135 286.78704 286.90407 82288.21076 82256.32031 82328.26804
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 WIND P400 WIND P400 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 21 24.04594 25.27619 627.16665 607.59340 655.71525
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 WIND Z10 WIND Z10 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 104 3.38493 1.69904 7.03649 20.85458 8.46875
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 WIND Z10 WIND Z10 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 104 3.38493 1.69904 7.03649 20.85458 8.46875
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 DPT Z2 DPT Z2 ONLYSF FULL DW_MEAN 4 NA NA NA NA SL1L2
130 279.57298 281.13385 78608.89746 78173.86546 79056.45977
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 DPT Z2 DPT Z2 ADPSFC FULL DW_MEAN 4 NA NA NA NA SL1L2
130 279.57298 281.13385 78608.89746 78173.86546 79056.45977
V2.0 WRF 420000 20130331_060000 20130331_060000 000000 20130331_054000
20130331_062000 UGRD P300 UGRD P300 AIRCFT FULL DW_MEAN 4 NA NA NA NA
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V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 TMP P1000 TMP P1000 ONLYSF FULL DW_MEAN 4 NA NA NA NA
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V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 TMP P1000 TMP P1000 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 8 286.68421 285.72500 81912.04204 82188.39650 81640.98914
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 TMP P1000 TMP P1000 ADPSFC FULL DW_MEAN 4 NA NA NA NA
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V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 TMP P925 TMP P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
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V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 TMP P925 TMP P925 ADPUPA FULL DW_MEAN 4 NA NA NA NA
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V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 TMP P925 TMP P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
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V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 TMP P850 TMP P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
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V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
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V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 TMP P850 TMP P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
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V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
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V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 TMP P500 TMP P500 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 7 254.44937 255.33572 64976.17711 64751.36997 65204.58868
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 TMP P300 TMP P300 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 8 230.27002 226.77500 52218.72683 53025.36708 51437.47983
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 TMP P250 TMP P250 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 10 228.64972 222.07000 50778.19709 52282.48520 49352.87235
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 TMP P250 TMP P250 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 9 229.12680 215.63889 49405.37215 52505.30720 46502.60621
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 TMP P200 TMP P200 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 20 241.71383 214.47000 51835.55914 58428.26169 46014.76803
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 TMP P200 TMP P200 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 9 236.97965 215.63889 51098.53104 56196.60357 46502.60621
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 TMP P150 TMP P150 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 29 235.56997 213.04310 50183.62564 55496.06740 45393.68227
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 TMP P100 TMP P100 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 25 220.82525 212.53800 46933.28788 48763.93259 45177.37125
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND P1000 WIND P1000 ONLYSF FULL DW_MEAN 4 NA NA NA
NA SL1L2 75 2.88190 0.88267 3.43216 14.39851 2.71227
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND P1000 WIND P1000 ADPUPA FULL DW_MEAN 4 NA NA NA
NA SL1L2 4 2.79787 2.55000 7.83677 8.27531 7.73000
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND P1000 WIND P1000 ADPSFC FULL DW_MEAN 4 NA NA NA
NA SL1L2 75 2.88190 0.88267 3.43216 14.39851 2.71227
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND P925 WIND P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 17 7.19043 3.62353 32.44759 72.12633 22.35412
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND P925 WIND P925 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 5.42304 3.60000 25.10492 36.47477 17.37000
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND P925 WIND P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 17 7.19043 3.62353 32.44759 72.12633 22.35412
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND P850 WIND P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 13 6.13348 0.95385 6.67375 40.57527 2.45538
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND P850 WIND P850 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 7.87655 7.95000 62.38844 62.88714 63.26500
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND P850 WIND P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 13 6.13348 0.95385 6.67375 40.57527 2.45538
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND P700 WIND P700 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 14.07509 12.35000 171.68494 202.27115 153.62500
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND P500 WIND P500 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 20.48116 23.45000 480.57135 420.80646 549.96504
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND P300 WIND P300 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 5 37.50628 44.58000 1679.86955 1408.91627 2017.53397
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND P250 WIND P250 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 7 37.13088 42.28571 1567.60878 1379.45740 1827.70286
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND P250 WIND P250 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 9 33.66463 43.84444 1511.67088 1252.74852 1939.61558
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND P200 WIND P200 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 7 31.68651 38.37143 1213.10832 1005.82613 1512.66855
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND P200 WIND P200 AIRCFT FULL DW_MEAN 4 NA NA NA NA
SL1L2 9 26.39242 43.84444 1183.90767 766.60437 1939.61558
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND P150 WIND P150 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 7 24.91579 31.75714 813.71309 642.83779 1094.89858
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND P100 WIND P100 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 6 36.72212 20.08333 753.35554 1401.96029 494.87166
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 DPT P1000 DPT P1000 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 96 281.24967 283.17917 79646.75467 79106.12277 80196.45207
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 DPT P1000 DPT P1000 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 8 283.55209 285.12500 80848.23125 80402.15878 81297.71501
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 DPT P1000 DPT P1000 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 96 281.24967 283.17917 79646.75467 79106.12277 80196.45207
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 DPT P925 DPT P925 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 17 277.64583 276.65588 76810.62487 77089.29766 76547.58684
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 DPT P925 DPT P925 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 9 280.65723 275.93889 77446.14618 78769.08043 76151.43217
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 DPT P925 DPT P925 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 17 277.64583 276.65588 76810.62487 77089.29766 76547.58684
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 DPT P850 DPT P850 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 14 278.16631 275.50000 76634.92272 77377.91301 75907.52559
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 DPT P850 DPT P850 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 11 277.57072 276.10454 76639.38356 77045.61350 76241.38431
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 DPT P850 DPT P850 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 14 278.16631 275.50000 76634.92272 77377.91301 75907.52559
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 DPT P700 DPT P700 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 19 256.61262 260.61316 66879.82365 65859.10842 67948.86487
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 DPT P500 DPT P500 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 7 234.42920 240.90714 56475.50465 54960.35140 58040.08653
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 DPT P300 DPT P300 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 8 203.84058 213.65000 43575.54966 41588.19148 45672.04234
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 DPT P250 DPT P250 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 10 197.39747 209.27000 41315.19334 38971.95738 43826.51236
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 DPT P200 DPT P200 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 20 193.01319 204.07000 39388.25416 37254.10028 41652.46806
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 DPT P150 DPT P150 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 29 192.16101 202.76724 38963.86891 36925.85793 41120.44780
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 DPT P100 DPT P100 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 25 192.12480 202.81800 38966.36799 36911.93940 41141.73525
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 PRMSL Z0 PRMSL Z0 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 75 102008.49115 101822.13333 10386735620.79647 10405741783.83418
10367795584.00000
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 PRMSL Z0 PRMSL Z0 SFCSHP FULL DW_MEAN 4 NA NA NA NA
SL1L2 17 102029.12040 101922.94118 10399109028.60661 10409942554.01450
10388293947.05882
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 PRMSL Z0 PRMSL Z0 ADPSFC FULL DW_MEAN 4 NA NA NA NA
SL1L2 58 102002.44465 101792.58621 10383108932.30039 10404510523.60891
10361787443.10345
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 HGT P400 HGT P400 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 7327.12930 7315.00000 53602055.07266 53690810.71632
53513450.00000
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 TMP P400 TMP P400 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 7 242.63683 240.02143 58242.77251 58882.25554 57627.78779
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 TMP Z2 TMP Z2 ONLYSF FULL DW_MEAN 4 NA NA NA NA SL1L2
132 285.31742 285.30303 81409.12828 81415.87095 81409.63696
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 TMP Z2 TMP Z2 ADPSFC FULL DW_MEAN 4 NA NA NA NA SL1L2
132 285.31742 285.30303 81409.12828 81415.87095 81409.63696
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND P400 WIND P400 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 2 27.29168 30.10000 818.06098 747.04548 911.30003
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND Z10 WIND Z10 ONLYSF FULL DW_MEAN 4 NA NA NA NA
SL1L2 106 3.06231 1.35189 6.15317 16.11468 5.89594
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 WIND Z10 WIND Z10 ADPSFC FULL DW_MEAN 4 NA NA NA NA
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V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 DPT P400 DPT P400 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 7 218.05817 228.30714 49775.65194 47594.46126 52131.13067
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 DPT Z2 DPT Z2 ONLYSF FULL DW_MEAN 4 NA NA NA NA SL1L2
128 280.17081 281.37891 78842.13163 78505.80541 79190.59416
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 DPT Z2 DPT Z2 ADPSFC FULL DW_MEAN 4 NA NA NA NA SL1L2
128 280.17081 281.37891 78842.13163 78505.80541 79190.59416
V2.0 WRF 480000 20130331_120000 20130331_120000 000000 20130331_114000
20130331_122000 UGRD P300 UGRD P300 ADPUPA FULL DW_MEAN 4 NA NA NA NA
SL1L2 9 34.95751 6.98061 248.80262 1226.55457 57.09475
------------------------------------------------
Subject: Computing pressure at mean sea level for GO Index
From: Kiana L Ross
Time: Tue Apr 02 11:43:21 2013
John,
Thank you so much for all your help! I will definitely pass on the
message
that MET v4.1 is coming out soon. We were a matter of days away from
finally updating to v4.0, so this will save us a bunch of hassle.
Regarding the obs levels, I have a question/confusion: Originally I
had
set the obs levels to match exactly with the fcst levels, i.e,
FCST_LEV =
OBS_LEV = P850, but got no matched pairs and hence no statistics, even
before trying to compute the GO Index. When I changed the obs levels
to
ranges, I got a bunch of matched pairs. (My assumption has always been
that this was because my observations do not tend to land exactly at
P850,
but rather in a neighborhood of P850. By specifying a range for obs
values, I'm essentially saying "use observations that fall within this
range to verify the model at P850.") If I should really be running
instead
with FCST_LEV = OBS_LEV = P850, is there another way to specify a
range of
obs values to use?
Thanks again. I would never have been able to get this far without all
your help.
Kiana
From: "John Halley Gotway via RT" <met_help at ucar.edu>
To: Kiana.L.Ross at aero.org,
Date: 04/02/2013 09:11 AM
Subject: Re: Fw: [rt.rap.ucar.edu #60787] Computing pressure at
mean sea level for GO Index
Kiana,
Perhaps, you sent me the wrong dataset. When I tried to compute the
GO
Index for the 20130324_12 initialization time, the job used 0 STAT
lines.
Looking closely at the data, I believe you sent me
data for the 20130329_120000 initialization time. When I compute the
GO
Index for that initialization time, I get the following output:
Processing Job 1: -job go_index -fcst_init_beg 20130329_120000
-fcst_init_end 20130329_120000
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P850" for lead time of "12" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P400" for lead time of "12" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P250" for lead time of "12" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P850" for lead time of "12" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P700" for lead time of "12" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P400" for lead time of "12" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "TMP" at level "P400" for lead time of "12" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "HGT" at level "P400" for lead time of "12" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P850" for lead time of "24" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P400" for lead time of "24" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P250" for lead time of "24" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P850" for lead time of "24" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P700" for lead time of "24" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P400" for lead time of "24" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "TMP" at level "P400" for lead time of "24" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "HGT" at level "P400" for lead time of "24" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P850" for lead time of "36" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P400" for lead time of "36" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P250" for lead time of "36" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P850" for lead time of "36" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P700" for lead time of "36" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P400" for lead time of "36" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "TMP" at level "P400" for lead time of "36" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "HGT" at level "P400" for lead time of "36" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P850" for lead time of "48" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P400" for lead time of "48" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "WIND" at level "P250" for lead time of "48" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P850" for lead time of "48" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P700" for lead time of "48" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "DPT" at level "P400" for lead time of "48" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "TMP" at level "P400" for lead time of "48" hours.
WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
variable "HGT" at level "P400" for lead time of "48" hours.
JOB_LIST: -job go_index -fcst_init_beg 20130329_120000
-fcst_init_end 20130329_120000
COL_NAME: GO_INDEX
GO_INDEX: 62.82412
Looking closely at the data and the code, I see what's going on. For
WIND
at P850, for example, you compared it to a range of pressure levels in
the
observations (P900-800). In the
"compute_go_index" function in
METv2.0/src/stat_analysis/stat_analysis_job.cc, we're only matching
lines
where FCST_VAR = OBS_VAR = WIND and FCST_LEV = OBS_LEV = P850. In
your
data, FCST_LEV = P850
but OBS_LEV = P900-800, so it's not using those lines in the GO Index
computations.
To test this out, I grepped out the SL1L2 data from the lines you sent
me
and switched the OBS_LEV column to match the FCST_LEV column, and then
reran the GO Index job. Doing that resulted in a GO
Index with no warnings:
METv2.0/bin/stat_analysis \
-lookin go_index_20130329_120000.stat \
-job go_index \
-fcst_init_beg 20130329_120000 \
-fcst_init_end 20130329_120000 \
-v 4
Processing Job 1: -job go_index -fcst_init_beg 20130329_120000
-fcst_init_end 20130329_120000
JOB_LIST: -job go_index -fcst_init_beg 20130329_120000
-fcst_init_end 20130329_120000
COL_NAME: GO_INDEX
GO_INDEX: 29.73753
I've attached that modified input file (go_index_20130329_120000.stat)
to
this message.
Now there are a few things I need to tell you about...
(1) There have been a whole *LOT* of updates to MET since METv2.0. In
fact, the computation of the GO Index itself has been corrected since
then.
Here are the notes for each release:
http://www.dtcenter.org/met/users/support/release_notes/index.php
And here are the list of known issues for each release:
http://www.dtcenter.org/met/users/support/known_issues/index.php
(2) METv4.0 corrected the computation of the GO Index to match how it
is
defined by the Air Force Weather Agency. In METv2.0, the GO Index is
computed for a single model as the weighted average of a
bunch RMSE values. However, that's not how AFWA computes it. At
AFWA,
the GO Index is computed using the output of 2 models. For each of
the
pieces of the GO Index, a skill score is computed by
comparing the RMSE of the two models. The final GO Index value is a
weighted average of those skill scores. In METv4.0, the GO Index
computation matches how it is done at AFWA. A GO Index value > 1
means the first model was better while < 1 means the second model was
better. At AFWA, they use a persistence forecast for the reference
model.
Listed below is a block of comments from the METv4.0 code describing
the
GO Index computations:
////////////////////////////////////////////////////////////////////////
//
// The do_job_ss_index() routine is used to compute the generalized
// Skill Score Index. This job can be configured to compute a
weighted
// average of skill scores derived from a configurable set of
variables,
// levels, lead times, and statistics. The skill score index is
// computed using two models, a forecast model and a reference model.
// For each statistic in the index, a skill score is computed as:
// SS = 1 - (S[model]*S[model])/(S[reference]*S[reference])
// Where S is the statistic.
// Next, a weighted average is computed over all the skill scores.
// Lastly, an index value is computed as:
// Index = sqrt(1/(1-SS[avg]))
// Where SS[avg] is the weighted average of skill scores.
//
////////////////////////////////////////////////////////////////////////
(3) In METv4.0, the GO Index is a specific version of what we've
called
the Skill Score Index. And it's defined in a STAT-Analysis
configuration
file. That means, you could define your own skill
score index however you'd like. You'd just set up a config file to
specify the variables/levels/statistics/lead times over which you want
to
compute the skill score index.
(4) Lastly, we are currently working on METv4.1 and it should be out
in
the next few weeks. Rather than switching to METv4.0, I'd suggest
switching to METv4.1, if possible.
Hope that helps.
Thanks,
John
On 04/01/2013 05:54 PM, Kiana L Ross via RT wrote:
>
> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=60787 >
>
> ----- Forwarded by Kiana L Ross/West/Aerospace/US on 04/01/2013
04:53 PM
> -----
>
> From: Kiana L Ross/West/Aerospace/US
> To: met_help at ucar.edu,
> Date: 03/27/2013 10:01 AM
> Subject: Re: [rt.rap.ucar.edu #60787] Computing pressure at
mean
> sea level for GO Index
>
>
> Hi John,
>
> Thanks for being willing to help me with this. I've included my
.stat
> files in a zipped directory attached below. The command line
argument
I'm
> using is the following:
>
> stat_analysis -lookin ${results_dir} -v -2 -job go_index
-fcst_init_beg
> 20130324_12 -fcst_init_end 20130324_12
>
> I'm running MET version 2.0. (The good news is that they've recently
> agreed to upgrade to MET version 4.0 + UPP post-processor. Hopefully
> within the next month or so...)
>
> Thanks again for all the help. I really appreciate it.
>
> Kiana
>
> [attachment "K.L. Ross MET stat files.zip" deleted by Kiana L
> Ross/West/Aerospace/US]
>
>
>
> From: "John Halley Gotway via RT" <met_help at ucar.edu>
> To: Kiana.L.Ross at aero.org,
> Date: 03/26/2013 06:44 PM
> Subject: Re: [rt.rap.ucar.edu #60787] Computing pressure at
mean
> sea level for GO Index
>
>
>
> Kiana,
>
> Can't say off the top of my head. There are several possibilities.
>
> Would you be able to send me some data so that I can understand
exactly
> the behavior you're describing?
>
> I'd need you to send me:
> - one or more .stat files containing the input SL1L2 lines
> - the stat_analysis configuration file and/or command line you're
using
> - tell me which version of MET you're using
>
> I'll run your job here to reproduce the warning message, and then
I'll
be
> able to tell you why it's showing up.
>
> You could either send me the files via email or by posting it to our
> anonymous ftp site with these instructions:
> http://www.dtcenter.org/met/users/support/met_help.php#ftp
>
> Thanks,
> John
>
>>
>> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=60787 >
>>
>> Hi John,
>>
>> Thanks so much for the quick response and the advice about the
PRMSL
>> observations. I will definitely take all of it into account moving
>> forward.
>>
>> I do have another (probably implementation) question: I seem to be
> getting
>> the following warning message each time the level is in pressure
units
>> (not vertical height units):
>>
>> "WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO
Index
>> variable "WIND" at level "P850" for lead time of "12" hours."
>>
>> In other words, it seems to only find those STAT lines that
correspond
> to
>> vertical height levels, not pressure levels. I've looked through
the
> .stat
>> output files from PointStat and there are output lines
corresponding to
>> WIND at P850, etc., so I'm not sure what I'm doing wrong.
>> Is it possible that I'm setting -fcst_init_beg and -fcst_init_end
>> incorrectly? I am passing in the forecast model initialization date
and
>> hour for both.
>>
>> Thanks again for any help.
>>
>> Kiana
>>
>>
>>
>>
>>
>> From: "John Halley Gotway via RT" <met_help at ucar.edu>
>> To: Kiana.L.Ross at aero.org,
>> Date: 03/26/2013 11:58 AM
>> Subject: Re: [rt.rap.ucar.edu #60787] Computing pressure at
mean
>> sea level for GO Index
>>
>>
>>
>> Kiana,
>>
>> GRIB code 2 is for pressure-reduced to mean sea level, or PRMSL (
>> http://www.nco.ncep.noaa.gov/pmb/docs/on388/table2.html). To
select
> that
>> field, you'd use this:
>> name = "PRMSL"; level = "Z0";
>>
>> However, there are few issues I want to point out...
>>
>> We do compute the GO Index for some of the testing we do in the
DTC. We
>> use PREPBUFR data from NCEP for our verifying observations, and
they do
>> include PRMSL observations. However, I don't know if
>> your little_r data stream includes this type of observation.
>>
>> If so, great. If not, you have a couple of choices:
>> - You could simply not verify PRMSL. And then when you compute the
GO
>> Index, that piece of it will just be left out of the computation.
>> STAT-Analysis should give you a warning message to that effect.
>> - Or you could choose to verify PRMSL against some range of
pressure
>> levels. For example...
>> In the "fcst" section, use: name = "PRMSL"; level = "Z0";
>> And in the "obs" section, use: name = "PRES"; level = "P850-
900";
>> That will compare any observations that fall between 900 and 850 to
the
>> PRMSL field.
>>
>> Lastly, I imagine you're using the GO Index for some good reason.
We
>> generally find that it provides little diagnostic information about
the
>> performance of the forecast. But some users do like
>> computing this as an overall metric. You should be aware that you
can
>> create your own "customized" skill score index by setting up a
>> STAT-Analysis config file accordingly. By "customized", I mean
>> that you can specify your own set of forecast variables/level/lead
times
>> and weights to be used in computing the overall score.
>>
>> Hopefully that helps.
>>
>> Just let me know if you have more questions.
>>
>> Thanks,
>> John
>>
>> On 03/26/2013 11:05 AM, Kiana L Ross via RT wrote:
>>>
>>> Tue Mar 26 11:05:05 2013: Request 60787 was acted upon.
>>> Transaction: Ticket created by Kiana.L.Ross at aero.org
>>> Queue: met_help
>>> Subject: Computing pressure at mean sea level for GO Index
>>> Owner: Nobody
>>> Requestors: Kiana.L.Ross at aero.org
>>> Status: new
>>> Ticket <URL:
https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=60787
>>
>>>
>>>
>>> Hi John,
>>>
>>> I have a question about using StatAnalysis to compute the GO
Index.
>>> According to the Users Guide, SL1SL2 output for the various
required
>>> fields/levels must have already been computed in a previous step.
In
my
>>> case, this would be computed with PointStat.
>>>
>>> I understand how to tell PointStat to compute statistics for all
the
>>> required GO Index variables/levels except for pressure at mean sea
>> level:
>>> For example, I can add "WIND/P850" to the fcst_field[] array in
the
>>> PointStat config file to direct it to compute wind speed stats at
850
>> hPa.
>>> But how do I tell PointStat to compute statistics for pressure at
mean
>> sea
>>> level? I am thinking it would be some sort of similar directive,
i.e.,
>>> maybe "PRES/???" or "PRMSL/???", but I can't figure out what level
to
>>> specify.
>>>
>>> Just in case it matters: I am using ascii2nc to process little_R
point
>>> observations.
>>>
>>> Thanks for any help.
>>>
>>> Kiana
>>>
>>
>>
>>
>
>
>
>
[attachment "go_index_20130329_120000.stat" deleted by Kiana L
Ross/West/Aerospace/US]
------------------------------------------------
Subject: Computing pressure at mean sea level for GO Index
From: John Halley Gotway
Time: Tue Apr 02 13:21:07 2013
Kiana,
I understand the situation you describe - you got 0 matched pairs when
verifying at exact levels and non-zero matched pairs when you
specified a range of observation pressure levels.
Now, I did look in the .stat files you sent me at the matched pair
(MPR) line type. I picked one of the GO Index constituents, TMP and
850mb, and looked for it in the MPR lines. And I did find 11
matched pairs where the observation pressure level was exactly 850mb,
but at most 3 matched pairs per lead time. So when you verified using
TMP at exactly 850mb, you should see *some* matched pairs,
just not many. If that's not happening, perhaps something odd is
going on.
The definition of the GO Index is basically fixed by our main funding
agency, AFWA. Those pressure levels are chosen because they're
*mandatory* levels at which observation values should be reported.
But in order to have a reasonable sample size, you'd like to
slightly modify the definition of the GO Index by matching against a
range of observation pressure levels rather than a single one. The
good news is that in METv4.0 and METv4.1, you can. You'll just
compute your own "skill score index" and define the constituents for
it in a configuration file.
I ran your data through STAT-Analysis in METv4.0 to make sure this
works, and it does. I've attached the STAT-Analysis config file I
used - basically I just copied over the GO Index config file and
added a new entry for "obs_lev" in which I specified what the OBS_LEV
column should contain for each term. Since the data you sent only
contains output for 1 model, I compared it to itself and got a
SS_INDEX value of 1.
Make sense?
Thanks,
John
On 04/02/2013 11:43 AM, Kiana L Ross via RT wrote:
>
> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=60787 >
>
> John,
>
> Thank you so much for all your help! I will definitely pass on the
message
> that MET v4.1 is coming out soon. We were a matter of days away from
> finally updating to v4.0, so this will save us a bunch of hassle.
>
> Regarding the obs levels, I have a question/confusion: Originally I
had
> set the obs levels to match exactly with the fcst levels, i.e,
FCST_LEV =
> OBS_LEV = P850, but got no matched pairs and hence no statistics,
even
> before trying to compute the GO Index. When I changed the obs levels
to
> ranges, I got a bunch of matched pairs. (My assumption has always
been
> that this was because my observations do not tend to land exactly at
P850,
> but rather in a neighborhood of P850. By specifying a range for obs
> values, I'm essentially saying "use observations that fall within
this
> range to verify the model at P850.") If I should really be running
instead
> with FCST_LEV = OBS_LEV = P850, is there another way to specify a
range of
> obs values to use?
>
> Thanks again. I would never have been able to get this far without
all
> your help.
>
> Kiana
>
>
>
> From: "John Halley Gotway via RT" <met_help at ucar.edu>
> To: Kiana.L.Ross at aero.org,
> Date: 04/02/2013 09:11 AM
> Subject: Re: Fw: [rt.rap.ucar.edu #60787] Computing pressure
at
> mean sea level for GO Index
>
>
>
> Kiana,
>
> Perhaps, you sent me the wrong dataset. When I tried to compute the
GO
> Index for the 20130324_12 initialization time, the job used 0 STAT
lines.
> Looking closely at the data, I believe you sent me
> data for the 20130329_120000 initialization time. When I compute
the GO
> Index for that initialization time, I get the following output:
>
> Processing Job 1: -job go_index -fcst_init_beg 20130329_120000
> -fcst_init_end 20130329_120000
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P850" for lead time of "12" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P400" for lead time of "12" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P250" for lead time of "12" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P850" for lead time of "12" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P700" for lead time of "12" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P400" for lead time of "12" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "TMP" at level "P400" for lead time of "12" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "HGT" at level "P400" for lead time of "12" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P850" for lead time of "24" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P400" for lead time of "24" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P250" for lead time of "24" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P850" for lead time of "24" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P700" for lead time of "24" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P400" for lead time of "24" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "TMP" at level "P400" for lead time of "24" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "HGT" at level "P400" for lead time of "24" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P850" for lead time of "36" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P400" for lead time of "36" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P250" for lead time of "36" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P850" for lead time of "36" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P700" for lead time of "36" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P400" for lead time of "36" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "TMP" at level "P400" for lead time of "36" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "HGT" at level "P400" for lead time of "36" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P850" for lead time of "48" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P400" for lead time of "48" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P250" for lead time of "48" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P850" for lead time of "48" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P700" for lead time of "48" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P400" for lead time of "48" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "TMP" at level "P400" for lead time of "48" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "HGT" at level "P400" for lead time of "48" hours.
> JOB_LIST: -job go_index -fcst_init_beg 20130329_120000
> -fcst_init_end 20130329_120000
> COL_NAME: GO_INDEX
> GO_INDEX: 62.82412
>
> Looking closely at the data and the code, I see what's going on.
For WIND
> at P850, for example, you compared it to a range of pressure levels
in the
> observations (P900-800). In the
> "compute_go_index" function in
> METv2.0/src/stat_analysis/stat_analysis_job.cc, we're only matching
lines
> where FCST_VAR = OBS_VAR = WIND and FCST_LEV = OBS_LEV = P850. In
your
> data, FCST_LEV = P850
> but OBS_LEV = P900-800, so it's not using those lines in the GO
Index
> computations.
>
> To test this out, I grepped out the SL1L2 data from the lines you
sent me
> and switched the OBS_LEV column to match the FCST_LEV column, and
then
> reran the GO Index job. Doing that resulted in a GO
> Index with no warnings:
>
> METv2.0/bin/stat_analysis \
> -lookin go_index_20130329_120000.stat \
> -job go_index \
> -fcst_init_beg 20130329_120000 \
> -fcst_init_end 20130329_120000 \
> -v 4
>
> Processing Job 1: -job go_index -fcst_init_beg 20130329_120000
> -fcst_init_end 20130329_120000
> JOB_LIST: -job go_index -fcst_init_beg 20130329_120000
> -fcst_init_end 20130329_120000
> COL_NAME: GO_INDEX
> GO_INDEX: 29.73753
>
> I've attached that modified input file
(go_index_20130329_120000.stat) to
> this message.
>
> Now there are a few things I need to tell you about...
>
> (1) There have been a whole *LOT* of updates to MET since METv2.0.
In
> fact, the computation of the GO Index itself has been corrected
since
> then.
> Here are the notes for each release:
>
http://www.dtcenter.org/met/users/support/release_notes/index.php
> And here are the list of known issues for each release:
>
http://www.dtcenter.org/met/users/support/known_issues/index.php
>
> (2) METv4.0 corrected the computation of the GO Index to match how
it is
> defined by the Air Force Weather Agency. In METv2.0, the GO Index
is
> computed for a single model as the weighted average of a
> bunch RMSE values. However, that's not how AFWA computes it. At
AFWA,
> the GO Index is computed using the output of 2 models. For each of
the
> pieces of the GO Index, a skill score is computed by
> comparing the RMSE of the two models. The final GO Index value is a
> weighted average of those skill scores. In METv4.0, the GO Index
> computation matches how it is done at AFWA. A GO Index value > 1
> means the first model was better while < 1 means the second model
was
> better. At AFWA, they use a persistence forecast for the reference
model.
>
> Listed below is a block of comments from the METv4.0 code describing
the
> GO Index computations:
>
>
////////////////////////////////////////////////////////////////////////
> //
> // The do_job_ss_index() routine is used to compute the generalized
> // Skill Score Index. This job can be configured to compute a
weighted
> // average of skill scores derived from a configurable set of
variables,
> // levels, lead times, and statistics. The skill score index is
> // computed using two models, a forecast model and a reference
model.
> // For each statistic in the index, a skill score is computed as:
> // SS = 1 - (S[model]*S[model])/(S[reference]*S[reference])
> // Where S is the statistic.
> // Next, a weighted average is computed over all the skill scores.
> // Lastly, an index value is computed as:
> // Index = sqrt(1/(1-SS[avg]))
> // Where SS[avg] is the weighted average of skill scores.
> //
>
////////////////////////////////////////////////////////////////////////
>
> (3) In METv4.0, the GO Index is a specific version of what we've
called
> the Skill Score Index. And it's defined in a STAT-Analysis
configuration
> file. That means, you could define your own skill
> score index however you'd like. You'd just set up a config file to
> specify the variables/levels/statistics/lead times over which you
want to
> compute the skill score index.
>
> (4) Lastly, we are currently working on METv4.1 and it should be out
in
> the next few weeks. Rather than switching to METv4.0, I'd suggest
> switching to METv4.1, if possible.
>
> Hope that helps.
>
> Thanks,
> John
>
> On 04/01/2013 05:54 PM, Kiana L Ross via RT wrote:
>>
>> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=60787 >
>>
>> ----- Forwarded by Kiana L Ross/West/Aerospace/US on 04/01/2013
04:53 PM
>> -----
>>
>> From: Kiana L Ross/West/Aerospace/US
>> To: met_help at ucar.edu,
>> Date: 03/27/2013 10:01 AM
>> Subject: Re: [rt.rap.ucar.edu #60787] Computing pressure at
mean
>> sea level for GO Index
>>
>>
>> Hi John,
>>
>> Thanks for being willing to help me with this. I've included my
.stat
>> files in a zipped directory attached below. The command line
argument
> I'm
>> using is the following:
>>
>> stat_analysis -lookin ${results_dir} -v -2 -job go_index
-fcst_init_beg
>> 20130324_12 -fcst_init_end 20130324_12
>>
>> I'm running MET version 2.0. (The good news is that they've
recently
>> agreed to upgrade to MET version 4.0 + UPP post-processor.
Hopefully
>> within the next month or so...)
>>
>> Thanks again for all the help. I really appreciate it.
>>
>> Kiana
>>
>> [attachment "K.L. Ross MET stat files.zip" deleted by Kiana L
>> Ross/West/Aerospace/US]
>>
>>
>>
>> From: "John Halley Gotway via RT" <met_help at ucar.edu>
>> To: Kiana.L.Ross at aero.org,
>> Date: 03/26/2013 06:44 PM
>> Subject: Re: [rt.rap.ucar.edu #60787] Computing pressure at
mean
>> sea level for GO Index
>>
>>
>>
>> Kiana,
>>
>> Can't say off the top of my head. There are several possibilities.
>>
>> Would you be able to send me some data so that I can understand
exactly
>> the behavior you're describing?
>>
>> I'd need you to send me:
>> - one or more .stat files containing the input SL1L2 lines
>> - the stat_analysis configuration file and/or command line
you're
> using
>> - tell me which version of MET you're using
>>
>> I'll run your job here to reproduce the warning message, and then
I'll
> be
>> able to tell you why it's showing up.
>>
>> You could either send me the files via email or by posting it to
our
>> anonymous ftp site with these instructions:
>> http://www.dtcenter.org/met/users/support/met_help.php#ftp
>>
>> Thanks,
>> John
>>
>>>
>>> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=60787 >
>>>
>>> Hi John,
>>>
>>> Thanks so much for the quick response and the advice about the
PRMSL
>>> observations. I will definitely take all of it into account moving
>>> forward.
>>>
>>> I do have another (probably implementation) question: I seem to be
>> getting
>>> the following warning message each time the level is in pressure
units
>>> (not vertical height units):
>>>
>>> "WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO
Index
>>> variable "WIND" at level "P850" for lead time of "12" hours."
>>>
>>> In other words, it seems to only find those STAT lines that
correspond
>> to
>>> vertical height levels, not pressure levels. I've looked through
the
>> .stat
>>> output files from PointStat and there are output lines
corresponding to
>>> WIND at P850, etc., so I'm not sure what I'm doing wrong.
>>> Is it possible that I'm setting -fcst_init_beg and -fcst_init_end
>>> incorrectly? I am passing in the forecast model initialization
date and
>>> hour for both.
>>>
>>> Thanks again for any help.
>>>
>>> Kiana
>>>
>>>
>>>
>>>
>>>
>>> From: "John Halley Gotway via RT" <met_help at ucar.edu>
>>> To: Kiana.L.Ross at aero.org,
>>> Date: 03/26/2013 11:58 AM
>>> Subject: Re: [rt.rap.ucar.edu #60787] Computing pressure at
mean
>>> sea level for GO Index
>>>
>>>
>>>
>>> Kiana,
>>>
>>> GRIB code 2 is for pressure-reduced to mean sea level, or PRMSL (
>>> http://www.nco.ncep.noaa.gov/pmb/docs/on388/table2.html). To
select
>> that
>>> field, you'd use this:
>>> name = "PRMSL"; level = "Z0";
>>>
>>> However, there are few issues I want to point out...
>>>
>>> We do compute the GO Index for some of the testing we do in the
DTC. We
>>> use PREPBUFR data from NCEP for our verifying observations, and
they do
>>> include PRMSL observations. However, I don't know if
>>> your little_r data stream includes this type of observation.
>>>
>>> If so, great. If not, you have a couple of choices:
>>> - You could simply not verify PRMSL. And then when you compute
the GO
>>> Index, that piece of it will just be left out of the computation.
>>> STAT-Analysis should give you a warning message to that effect.
>>> - Or you could choose to verify PRMSL against some range of
pressure
>>> levels. For example...
>>> In the "fcst" section, use: name = "PRMSL"; level = "Z0";
>>> And in the "obs" section, use: name = "PRES"; level = "P850-
900";
>>> That will compare any observations that fall between 900 and 850
to the
>>> PRMSL field.
>>>
>>> Lastly, I imagine you're using the GO Index for some good reason.
We
>>> generally find that it provides little diagnostic information
about the
>>> performance of the forecast. But some users do like
>>> computing this as an overall metric. You should be aware that you
can
>>> create your own "customized" skill score index by setting up a
>>> STAT-Analysis config file accordingly. By "customized", I mean
>>> that you can specify your own set of forecast variables/level/lead
> times
>>> and weights to be used in computing the overall score.
>>>
>>> Hopefully that helps.
>>>
>>> Just let me know if you have more questions.
>>>
>>> Thanks,
>>> John
>>>
>>> On 03/26/2013 11:05 AM, Kiana L Ross via RT wrote:
>>>>
>>>> Tue Mar 26 11:05:05 2013: Request 60787 was acted upon.
>>>> Transaction: Ticket created by Kiana.L.Ross at aero.org
>>>> Queue: met_help
>>>> Subject: Computing pressure at mean sea level for GO
Index
>>>> Owner: Nobody
>>>> Requestors: Kiana.L.Ross at aero.org
>>>> Status: new
>>>> Ticket <URL:
> https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=60787
>>>
>>>>
>>>>
>>>> Hi John,
>>>>
>>>> I have a question about using StatAnalysis to compute the GO
Index.
>>>> According to the Users Guide, SL1SL2 output for the various
required
>>>> fields/levels must have already been computed in a previous step.
In
> my
>>>> case, this would be computed with PointStat.
>>>>
>>>> I understand how to tell PointStat to compute statistics for all
the
>>>> required GO Index variables/levels except for pressure at mean
sea
>>> level:
>>>> For example, I can add "WIND/P850" to the fcst_field[] array in
the
>>>> PointStat config file to direct it to compute wind speed stats at
850
>>> hPa.
>>>> But how do I tell PointStat to compute statistics for pressure at
mean
>>> sea
>>>> level? I am thinking it would be some sort of similar directive,
i.e.,
>>>> maybe "PRES/???" or "PRMSL/???", but I can't figure out what
level to
>>>> specify.
>>>>
>>>> Just in case it matters: I am using ascii2nc to process little_R
point
>>>> observations.
>>>>
>>>> Thanks for any help.
>>>>
>>>> Kiana
>>>>
>>>
>>>
>>>
>>
>>
>>
>>
>
> [attachment "go_index_20130329_120000.stat" deleted by Kiana L
> Ross/West/Aerospace/US]
>
------------------------------------------------
Subject: Computing pressure at mean sea level for GO Index
From: John Halley Gotway
Time: Tue Apr 02 13:21:07 2013
////////////////////////////////////////////////////////////////////////////////
//
// Filtering input STAT lines by the contents of each column
//
model = [];
fcst_lead = [ "12", "24", "36", "48",
"12", "24", "36", "48",
"12", "24", "36", "48",
"12", "24", "36", "48",
"12", "24", "36", "48",
"12", "24", "36", "48",
"12", "24", "36", "48",
"12", "24", "36", "48",
"12", "24", "36", "48",
"12", "24", "36", "48",
"12", "24", "36", "48",
"12", "24", "36", "48"
];
obs_lead = [];
fcst_valid_beg = "";
fcst_valid_end = "";
fcst_valid_hour = [];
obs_valid_beg = "";
obs_valid_end = "";
obs_valid_hour = [];
fcst_init_beg = "";
fcst_init_end = "";
fcst_init_hour = [];
obs_init_beg = "";
obs_init_end = "";
obs_init_hour = [];
fcst_var = [ "WIND", "WIND", "WIND", "WIND",
"WIND", "WIND", "WIND", "WIND",
"WIND", "WIND", "WIND", "WIND",
"WIND", "WIND", "WIND", "WIND",
"DPT", "DPT", "DPT", "DPT",
"DPT", "DPT", "DPT", "DPT",
"DPT", "DPT", "DPT", "DPT",
"DPT", "DPT", "DPT", "DPT",
"TMP", "TMP", "TMP", "TMP",
"TMP", "TMP", "TMP", "TMP",
"HGT", "HGT", "HGT", "HGT",
"PRMSL", "PRMSL", "PRMSL", "PRMSL"
];
obs_var = [];
fcst_lev = [ "P250", "P250", "P250", "P250",
"P400", "P400", "P400", "P400",
"P850", "P850", "P850", "P850",
"Z10", "Z10", "Z10", "Z10",
"P400", "P400", "P400", "P400",
"P700", "P700", "P700", "P700",
"P850", "P850", "P850", "P850",
"Z2", "Z2", "Z2", "Z2",
"P400", "P400", "P400", "P400",
"Z2", "Z2", "Z2", "Z2",
"P400", "P400", "P400", "P400",
"Z0", "Z0", "Z0", "Z0"
];
obs_lev = [ "P300-200", "P300-200", "P300-200", "P300-200",
"P450-350", "P450-350", "P450-350", "P450-350",
"P900-800", "P900-800", "P900-800", "P900-800",
"Z10", "Z10", "Z10", "Z10",
"P450-350", "P450-350", "P450-350", "P450-350",
"P750-650", "P750-650", "P750-650", "P750-650",
"P900-800", "P900-800", "P900-800", "P900-800",
"Z2", "Z2", "Z2", "Z2",
"P450-350", "P450-350", "P450-350", "P450-350",
"Z2", "Z2", "Z2", "Z2",
"P450-350", "P450-350", "P450-350", "P450-350",
"Z0", "Z0", "Z0", "Z0"
];
obtype = [];
vx_mask = [];
interp_mthd = [];
interp_pnts = [];
fcst_thresh = [];
obs_thresh = [];
cov_thresh = [];
alpha = [];
line_type = [ "SL1L2", "SL1L2", "SL1L2", "SL1L2",
"SL1L2", "SL1L2", "SL1L2", "SL1L2",
"SL1L2", "SL1L2", "SL1L2", "SL1L2",
"SL1L2", "SL1L2", "SL1L2", "SL1L2",
"SL1L2", "SL1L2", "SL1L2", "SL1L2",
"SL1L2", "SL1L2", "SL1L2", "SL1L2",
"SL1L2", "SL1L2", "SL1L2", "SL1L2",
"SL1L2", "SL1L2", "SL1L2", "SL1L2",
"SL1L2", "SL1L2", "SL1L2", "SL1L2",
"SL1L2", "SL1L2", "SL1L2", "SL1L2",
"SL1L2", "SL1L2", "SL1L2", "SL1L2",
"SL1L2", "SL1L2", "SL1L2", "SL1L2"
];
column = [ "RMSE", "RMSE", "RMSE", "RMSE",
"RMSE", "RMSE", "RMSE", "RMSE",
"RMSE", "RMSE", "RMSE", "RMSE",
"RMSE", "RMSE", "RMSE", "RMSE",
"RMSE", "RMSE", "RMSE", "RMSE",
"RMSE", "RMSE", "RMSE", "RMSE",
"RMSE", "RMSE", "RMSE", "RMSE",
"RMSE", "RMSE", "RMSE", "RMSE",
"RMSE", "RMSE", "RMSE", "RMSE",
"RMSE", "RMSE", "RMSE", "RMSE",
"RMSE", "RMSE", "RMSE", "RMSE",
"RMSE", "RMSE", "RMSE", "RMSE"
];
weight = [ 4.0, 3.0, 2.0, 1.0,
4.0, 3.0, 2.0, 1.0,
4.0, 3.0, 2.0, 1.0,
8.0, 6.0, 4.0, 2.0,
8.0, 6.0, 4.0, 2.0,
8.0, 6.0, 4.0, 2.0,
8.0, 6.0, 4.0, 2.0,
8.0, 6.0, 4.0, 2.0,
4.0, 3.0, 2.0, 1.0,
8.0, 6.0, 4.0, 2.0,
4.0, 3.0, 2.0, 1.0,
8.0, 6.0, 4.0, 2.0
];
////////////////////////////////////////////////////////////////////////////////
//
// Confidence interval settings
//
out_alpha = 0.05;
boot = {
interval = PCTILE;
rep_prop = 1.0;
n_rep = 1000;
rng = "mt19937";
seed = "";
};
////////////////////////////////////////////////////////////////////////////////
rank_corr_flag = TRUE;
vif_flag = FALSE;
tmp_dir = "/tmp";
version = "V4.0";
////////////////////////////////////////////////////////////////////////////////
------------------------------------------------
Subject: Computing pressure at mean sea level for GO Index
From: Kiana L Ross
Time: Tue Apr 02 18:11:27 2013
John,
Makes sense. Thank you again for the detailed explanation and help.
Kiana
From: "John Halley Gotway via RT" <met_help at ucar.edu>
To: Kiana.L.Ross at aero.org,
Date: 04/02/2013 12:21 PM
Subject: Re: Fw: [rt.rap.ucar.edu #60787] Computing pressure at
mean sea level for GO Index
Kiana,
I understand the situation you describe - you got 0 matched pairs when
verifying at exact levels and non-zero matched pairs when you
specified a
range of observation pressure levels.
Now, I did look in the .stat files you sent me at the matched pair
(MPR)
line type. I picked one of the GO Index constituents, TMP and 850mb,
and
looked for it in the MPR lines. And I did find 11
matched pairs where the observation pressure level was exactly 850mb,
but
at most 3 matched pairs per lead time. So when you verified using TMP
at
exactly 850mb, you should see *some* matched pairs,
just not many. If that's not happening, perhaps something odd is
going
on.
The definition of the GO Index is basically fixed by our main funding
agency, AFWA. Those pressure levels are chosen because they're
*mandatory* levels at which observation values should be reported.
But in order to have a reasonable sample size, you'd like to
slightly
modify the definition of the GO Index by matching against a range of
observation pressure levels rather than a single one. The
good news is that in METv4.0 and METv4.1, you can. You'll just
compute
your own "skill score index" and define the constituents for it in a
configuration file.
I ran your data through STAT-Analysis in METv4.0 to make sure this
works,
and it does. I've attached the STAT-Analysis config file I used -
basically I just copied over the GO Index config file and
added a new entry for "obs_lev" in which I specified what the OBS_LEV
column should contain for each term. Since the data you sent only
contains output for 1 model, I compared it to itself and got a
SS_INDEX value of 1.
Make sense?
Thanks,
John
On 04/02/2013 11:43 AM, Kiana L Ross via RT wrote:
>
> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=60787 >
>
> John,
>
> Thank you so much for all your help! I will definitely pass on the
message
> that MET v4.1 is coming out soon. We were a matter of days away from
> finally updating to v4.0, so this will save us a bunch of hassle.
>
> Regarding the obs levels, I have a question/confusion: Originally I
had
> set the obs levels to match exactly with the fcst levels, i.e,
FCST_LEV
=
> OBS_LEV = P850, but got no matched pairs and hence no statistics,
even
> before trying to compute the GO Index. When I changed the obs levels
to
> ranges, I got a bunch of matched pairs. (My assumption has always
been
> that this was because my observations do not tend to land exactly at
P850,
> but rather in a neighborhood of P850. By specifying a range for obs
> values, I'm essentially saying "use observations that fall within
this
> range to verify the model at P850.") If I should really be running
instead
> with FCST_LEV = OBS_LEV = P850, is there another way to specify a
range
of
> obs values to use?
>
> Thanks again. I would never have been able to get this far without
all
> your help.
>
> Kiana
>
>
>
> From: "John Halley Gotway via RT" <met_help at ucar.edu>
> To: Kiana.L.Ross at aero.org,
> Date: 04/02/2013 09:11 AM
> Subject: Re: Fw: [rt.rap.ucar.edu #60787] Computing pressure
at
> mean sea level for GO Index
>
>
>
> Kiana,
>
> Perhaps, you sent me the wrong dataset. When I tried to compute the
GO
> Index for the 20130324_12 initialization time, the job used 0 STAT
lines.
> Looking closely at the data, I believe you sent me
> data for the 20130329_120000 initialization time. When I compute
the GO
> Index for that initialization time, I get the following output:
>
> Processing Job 1: -job go_index -fcst_init_beg 20130329_120000
> -fcst_init_end 20130329_120000
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P850" for lead time of "12" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P400" for lead time of "12" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P250" for lead time of "12" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P850" for lead time of "12" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P700" for lead time of "12" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P400" for lead time of "12" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "TMP" at level "P400" for lead time of "12" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "HGT" at level "P400" for lead time of "12" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P850" for lead time of "24" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P400" for lead time of "24" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P250" for lead time of "24" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P850" for lead time of "24" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P700" for lead time of "24" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P400" for lead time of "24" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "TMP" at level "P400" for lead time of "24" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "HGT" at level "P400" for lead time of "24" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P850" for lead time of "36" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P400" for lead time of "36" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P250" for lead time of "36" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P850" for lead time of "36" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P700" for lead time of "36" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P400" for lead time of "36" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "TMP" at level "P400" for lead time of "36" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "HGT" at level "P400" for lead time of "36" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P850" for lead time of "48" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P400" for lead time of "48" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "WIND" at level "P250" for lead time of "48" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P850" for lead time of "48" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P700" for lead time of "48" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "DPT" at level "P400" for lead time of "48" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "TMP" at level "P400" for lead time of "48" hours.
> WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO Index
> variable "HGT" at level "P400" for lead time of "48" hours.
> JOB_LIST: -job go_index -fcst_init_beg 20130329_120000
> -fcst_init_end 20130329_120000
> COL_NAME: GO_INDEX
> GO_INDEX: 62.82412
>
> Looking closely at the data and the code, I see what's going on.
For
WIND
> at P850, for example, you compared it to a range of pressure levels
in
the
> observations (P900-800). In the
> "compute_go_index" function in
> METv2.0/src/stat_analysis/stat_analysis_job.cc, we're only matching
lines
> where FCST_VAR = OBS_VAR = WIND and FCST_LEV = OBS_LEV = P850. In
your
> data, FCST_LEV = P850
> but OBS_LEV = P900-800, so it's not using those lines in the GO
Index
> computations.
>
> To test this out, I grepped out the SL1L2 data from the lines you
sent
me
> and switched the OBS_LEV column to match the FCST_LEV column, and
then
> reran the GO Index job. Doing that resulted in a GO
> Index with no warnings:
>
> METv2.0/bin/stat_analysis \
> -lookin go_index_20130329_120000.stat \
> -job go_index \
> -fcst_init_beg 20130329_120000 \
> -fcst_init_end 20130329_120000 \
> -v 4
>
> Processing Job 1: -job go_index -fcst_init_beg 20130329_120000
> -fcst_init_end 20130329_120000
> JOB_LIST: -job go_index -fcst_init_beg 20130329_120000
> -fcst_init_end 20130329_120000
> COL_NAME: GO_INDEX
> GO_INDEX: 29.73753
>
> I've attached that modified input file
(go_index_20130329_120000.stat)
to
> this message.
>
> Now there are a few things I need to tell you about...
>
> (1) There have been a whole *LOT* of updates to MET since METv2.0.
In
> fact, the computation of the GO Index itself has been corrected
since
> then.
> Here are the notes for each release:
>
http://www.dtcenter.org/met/users/support/release_notes/index.php
> And here are the list of known issues for each release:
>
http://www.dtcenter.org/met/users/support/known_issues/index.php
>
> (2) METv4.0 corrected the computation of the GO Index to match how
it is
> defined by the Air Force Weather Agency. In METv2.0, the GO Index
is
> computed for a single model as the weighted average of a
> bunch RMSE values. However, that's not how AFWA computes it. At
AFWA,
> the GO Index is computed using the output of 2 models. For each of
the
> pieces of the GO Index, a skill score is computed by
> comparing the RMSE of the two models. The final GO Index value is a
> weighted average of those skill scores. In METv4.0, the GO Index
> computation matches how it is done at AFWA. A GO Index value > 1
> means the first model was better while < 1 means the second model
was
> better. At AFWA, they use a persistence forecast for the reference
model.
>
> Listed below is a block of comments from the METv4.0 code describing
the
> GO Index computations:
>
>
////////////////////////////////////////////////////////////////////////
> //
> // The do_job_ss_index() routine is used to compute the generalized
> // Skill Score Index. This job can be configured to compute a
weighted
> // average of skill scores derived from a configurable set of
variables,
> // levels, lead times, and statistics. The skill score index is
> // computed using two models, a forecast model and a reference
model.
> // For each statistic in the index, a skill score is computed as:
> // SS = 1 - (S[model]*S[model])/(S[reference]*S[reference])
> // Where S is the statistic.
> // Next, a weighted average is computed over all the skill scores.
> // Lastly, an index value is computed as:
> // Index = sqrt(1/(1-SS[avg]))
> // Where SS[avg] is the weighted average of skill scores.
> //
>
////////////////////////////////////////////////////////////////////////
>
> (3) In METv4.0, the GO Index is a specific version of what we've
called
> the Skill Score Index. And it's defined in a STAT-Analysis
configuration
> file. That means, you could define your own skill
> score index however you'd like. You'd just set up a config file to
> specify the variables/levels/statistics/lead times over which you
want
to
> compute the skill score index.
>
> (4) Lastly, we are currently working on METv4.1 and it should be out
in
> the next few weeks. Rather than switching to METv4.0, I'd suggest
> switching to METv4.1, if possible.
>
> Hope that helps.
>
> Thanks,
> John
>
> On 04/01/2013 05:54 PM, Kiana L Ross via RT wrote:
>>
>> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=60787 >
>>
>> ----- Forwarded by Kiana L Ross/West/Aerospace/US on 04/01/2013
04:53
PM
>> -----
>>
>> From: Kiana L Ross/West/Aerospace/US
>> To: met_help at ucar.edu,
>> Date: 03/27/2013 10:01 AM
>> Subject: Re: [rt.rap.ucar.edu #60787] Computing pressure at
mean
>> sea level for GO Index
>>
>>
>> Hi John,
>>
>> Thanks for being willing to help me with this. I've included my
.stat
>> files in a zipped directory attached below. The command line
argument
> I'm
>> using is the following:
>>
>> stat_analysis -lookin ${results_dir} -v -2 -job go_index
-fcst_init_beg
>> 20130324_12 -fcst_init_end 20130324_12
>>
>> I'm running MET version 2.0. (The good news is that they've
recently
>> agreed to upgrade to MET version 4.0 + UPP post-processor.
Hopefully
>> within the next month or so...)
>>
>> Thanks again for all the help. I really appreciate it.
>>
>> Kiana
>>
>> [attachment "K.L. Ross MET stat files.zip" deleted by Kiana L
>> Ross/West/Aerospace/US]
>>
>>
>>
>> From: "John Halley Gotway via RT" <met_help at ucar.edu>
>> To: Kiana.L.Ross at aero.org,
>> Date: 03/26/2013 06:44 PM
>> Subject: Re: [rt.rap.ucar.edu #60787] Computing pressure at
mean
>> sea level for GO Index
>>
>>
>>
>> Kiana,
>>
>> Can't say off the top of my head. There are several possibilities.
>>
>> Would you be able to send me some data so that I can understand
exactly
>> the behavior you're describing?
>>
>> I'd need you to send me:
>> - one or more .stat files containing the input SL1L2 lines
>> - the stat_analysis configuration file and/or command line
you're
> using
>> - tell me which version of MET you're using
>>
>> I'll run your job here to reproduce the warning message, and then
I'll
> be
>> able to tell you why it's showing up.
>>
>> You could either send me the files via email or by posting it to
our
>> anonymous ftp site with these instructions:
>> http://www.dtcenter.org/met/users/support/met_help.php#ftp
>>
>> Thanks,
>> John
>>
>>>
>>> <URL: https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=60787 >
>>>
>>> Hi John,
>>>
>>> Thanks so much for the quick response and the advice about the
PRMSL
>>> observations. I will definitely take all of it into account moving
>>> forward.
>>>
>>> I do have another (probably implementation) question: I seem to be
>> getting
>>> the following warning message each time the level is in pressure
units
>>> (not vertical height units):
>>>
>>> "WARNING: compute_sl1l2_rmse() -> no matching STAT lines for GO
Index
>>> variable "WIND" at level "P850" for lead time of "12" hours."
>>>
>>> In other words, it seems to only find those STAT lines that
correspond
>> to
>>> vertical height levels, not pressure levels. I've looked through
the
>> .stat
>>> output files from PointStat and there are output lines
corresponding
to
>>> WIND at P850, etc., so I'm not sure what I'm doing wrong.
>>> Is it possible that I'm setting -fcst_init_beg and -fcst_init_end
>>> incorrectly? I am passing in the forecast model initialization
date
and
>>> hour for both.
>>>
>>> Thanks again for any help.
>>>
>>> Kiana
>>>
>>>
>>>
>>>
>>>
>>> From: "John Halley Gotway via RT" <met_help at ucar.edu>
>>> To: Kiana.L.Ross at aero.org,
>>> Date: 03/26/2013 11:58 AM
>>> Subject: Re: [rt.rap.ucar.edu #60787] Computing pressure at
mean
>>> sea level for GO Index
>>>
>>>
>>>
>>> Kiana,
>>>
>>> GRIB code 2 is for pressure-reduced to mean sea level, or PRMSL (
>>> http://www.nco.ncep.noaa.gov/pmb/docs/on388/table2.html). To
select
>> that
>>> field, you'd use this:
>>> name = "PRMSL"; level = "Z0";
>>>
>>> However, there are few issues I want to point out...
>>>
>>> We do compute the GO Index for some of the testing we do in the
DTC.
We
>>> use PREPBUFR data from NCEP for our verifying observations, and
they
do
>>> include PRMSL observations. However, I don't know if
>>> your little_r data stream includes this type of observation.
>>>
>>> If so, great. If not, you have a couple of choices:
>>> - You could simply not verify PRMSL. And then when you compute
the GO
>>> Index, that piece of it will just be left out of the computation.
>>> STAT-Analysis should give you a warning message to that effect.
>>> - Or you could choose to verify PRMSL against some range of
pressure
>>> levels. For example...
>>> In the "fcst" section, use: name = "PRMSL"; level = "Z0";
>>> And in the "obs" section, use: name = "PRES"; level = "P850-
900";
>>> That will compare any observations that fall between 900 and 850
to
the
>>> PRMSL field.
>>>
>>> Lastly, I imagine you're using the GO Index for some good reason.
We
>>> generally find that it provides little diagnostic information
about
the
>>> performance of the forecast. But some users do like
>>> computing this as an overall metric. You should be aware that you
can
>>> create your own "customized" skill score index by setting up a
>>> STAT-Analysis config file accordingly. By "customized", I mean
>>> that you can specify your own set of forecast variables/level/lead
> times
>>> and weights to be used in computing the overall score.
>>>
>>> Hopefully that helps.
>>>
>>> Just let me know if you have more questions.
>>>
>>> Thanks,
>>> John
>>>
>>> On 03/26/2013 11:05 AM, Kiana L Ross via RT wrote:
>>>>
>>>> Tue Mar 26 11:05:05 2013: Request 60787 was acted upon.
>>>> Transaction: Ticket created by Kiana.L.Ross at aero.org
>>>> Queue: met_help
>>>> Subject: Computing pressure at mean sea level for GO
Index
>>>> Owner: Nobody
>>>> Requestors: Kiana.L.Ross at aero.org
>>>> Status: new
>>>> Ticket <URL:
> https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=60787
>>>
>>>>
>>>>
>>>> Hi John,
>>>>
>>>> I have a question about using StatAnalysis to compute the GO
Index.
>>>> According to the Users Guide, SL1SL2 output for the various
required
>>>> fields/levels must have already been computed in a previous step.
In
> my
>>>> case, this would be computed with PointStat.
>>>>
>>>> I understand how to tell PointStat to compute statistics for all
the
>>>> required GO Index variables/levels except for pressure at mean
sea
>>> level:
>>>> For example, I can add "WIND/P850" to the fcst_field[] array in
the
>>>> PointStat config file to direct it to compute wind speed stats at
850
>>> hPa.
>>>> But how do I tell PointStat to compute statistics for pressure at
mean
>>> sea
>>>> level? I am thinking it would be some sort of similar directive,
i.e.,
>>>> maybe "PRES/???" or "PRMSL/???", but I can't figure out what
level to
>>>> specify.
>>>>
>>>> Just in case it matters: I am using ascii2nc to process little_R
point
>>>> observations.
>>>>
>>>> Thanks for any help.
>>>>
>>>> Kiana
>>>>
>>>
>>>
>>>
>>
>>
>>
>>
>
> [attachment "go_index_20130329_120000.stat" deleted by Kiana L
> Ross/West/Aerospace/US]
>
[attachment "STATAnalysisConfig_SS_Index" deleted by Kiana L
Ross/West/Aerospace/US]
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