[Met_help] [rt.rap.ucar.edu #41257] History for Question on MET version 3.0 release (UNCLASSIFIED)

Mon Oct 4 09:58:20 MDT 2010

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  Initial Request
----------------------------------------------------------------

Classification: UNCLASSIFIED
Caveats: NONE

I would like to know if the patch to Point-Stat, which was written by John
Halley Gotway in April 2010 and described below, was included in the MET 3.0
release?
Thanks.
John

OK, I've made a minor change in the Point-Stat source code.  The updated
version is attached.

Here's the original piece of code:
      cerr << "\n\nERROR: process_obs_file() -> "
           << "can't open observation netCDF file: "
           << obs_file[i_nc] << "\n\n" << flush;
      exit(1);

And here's the modified piece of code:
      cout << "\n\nWARNING: process_obs_file() -> "
           << "can't open observation netCDF file: "
           << obs_file[i_nc] << "\n\n" << flush;
      return;

When one of the observation files passed to it doesn't exist, instead of
exiting with an error message, it'll just print a warning message and
process the remaining observation files.  I suspect that if you look closely
at the output for those hours where the PREPBUFR file does not exist, you'll
find an error message alerting you to that fact.

Please try using this version of the code, recompile MET, and rerun.  And
please let me know if this solves your problem.

-----Original Message-----
From: Tressa Fowler [mailto:tressa at ucar.edu] 
Sent: Thursday, September 30, 2010 5:33 PM
To: wrf-news at ucar.edu
Subject: MET version 3.0 release

The MET development team at the DTC is pleased to announce the release of
the MET version 3.0 verification package. It is available for download from
the MET Users web page:

http://www.dtcenter.org/met/users/index.php
<blockedhttp://www.dtcenter.org/met/users/index.php> 

MET v3.0 incorporates some major new features. The new Ensemble-Stat tool
preprocesses sets of forecasts into ensemble forecasts, including mean,
spread, and probability. When observations are included, it will also derive
ensemble statistics such as rank histogram and continuous ranked probability
score. When accumulating statistics over time, users can now adjust the
confidence intervals to account for serial correlation. To assist our WRF
ARW users, MET v3.0 can read the netCDF output from the pinterp
postprocessor. Multi-category, e.g. 3x3, contingency tables are now
supported, along with appropriate skill scores.

A new tools directory is also included in the software. One tool will plot
point observations from the MET preprocessing tools. Users wishing to
perform cloud verification using the Air Force Weather Agency's World Wide
Merged Cloud Analysis (WWMCA) product for verification will find two new
tools for their use. One creates plots of the WWMCA total cloud amount,
while the other will interpolate the WWMCA onto any grid or map projection,
allowing WWMCA to be matched to the cloud forecast of interest.

We hope that MET v3.0 enhances your WRF verification efforts. Please send
any comments to met_help at ucar.edu .

Thank you,

The MET development team

Classification: UNCLASSIFIED
Caveats: NONE

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  Complete Ticket History
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Subject: Re: [rt.rap.ucar.edu #41257] Question on MET version 3.0 release (UNCLASSIFIED)
From: John Halley Gotway
Time: Mon Oct 04 09:58:03 2010

Hello John,

Yes, that change is included in there.  It's listed in the release
notes, as the second item under the heading "Point-Stat Tool":
   http://www.dtcenter.org/met/users/support/release_notes/METv3.0_release_notes.php

Thanks,
John Halley Gotway
met_help at ucar.edu

RAL HelpDesk {for Raby, John} wrote:
> Mon Oct 04 08:21:43 2010: Request 41257 was acted upon.
> Transaction: Ticket created by john.raby at us.army.mil
>        Queue: met_help
>      Subject: Question on MET version 3.0 release (UNCLASSIFIED)
>        Owner: Nobody
>   Requestors: john.raby at us.army.mil
>       Status: new
>  Ticket <URL:
https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=41257 >
>
>
> Classification: UNCLASSIFIED
> Caveats: NONE
>
> I would like to know if the patch to Point-Stat, which was written
by John
> Halley Gotway in April 2010 and described below, was included in the
MET 3.0
> release?
> Thanks.
> John
>
>
> OK, I've made a minor change in the Point-Stat source code.  The
updated
> version is attached.
>
> Here's the original piece of code:
>       cerr << "\n\nERROR: process_obs_file() -> "
>            << "can't open observation netCDF file: "
>            << obs_file[i_nc] << "\n\n" << flush;
>       exit(1);
>
> And here's the modified piece of code:
>       cout << "\n\nWARNING: process_obs_file() -> "
>            << "can't open observation netCDF file: "
>            << obs_file[i_nc] << "\n\n" << flush;
>       return;
>
> When one of the observation files passed to it doesn't exist,
instead of
> exiting with an error message, it'll just print a warning message
and
> process the remaining observation files.  I suspect that if you look
closely
> at the output for those hours where the PREPBUFR file does not
exist, you'll
> find an error message alerting you to that fact.
>
> Please try using this version of the code, recompile MET, and rerun.
And
> please let me know if this solves your problem.
>
> -----Original Message-----
> From: Tressa Fowler [mailto:tressa at ucar.edu]
> Sent: Thursday, September 30, 2010 5:33 PM
> To: wrf-news at ucar.edu
> Subject: MET version 3.0 release
>
>
> The MET development team at the DTC is pleased to announce the
release of
> the MET version 3.0 verification package. It is available for
download from
> the MET Users web page:
>
> http://www.dtcenter.org/met/users/index.php
> <blockedhttp://www.dtcenter.org/met/users/index.php>
>
> MET v3.0 incorporates some major new features. The new Ensemble-Stat
tool
> preprocesses sets of forecasts into ensemble forecasts, including
mean,
> spread, and probability. When observations are included, it will
also derive
> ensemble statistics such as rank histogram and continuous ranked
probability
> score. When accumulating statistics over time, users can now adjust
the
> confidence intervals to account for serial correlation. To assist
our WRF
> ARW users, MET v3.0 can read the netCDF output from the pinterp
> postprocessor. Multi-category, e.g. 3x3, contingency tables are now
> supported, along with appropriate skill scores.
>
>
> A new tools directory is also included in the software. One tool
will plot
> point observations from the MET preprocessing tools. Users wishing
to
> perform cloud verification using the Air Force Weather Agency's
World Wide
> Merged Cloud Analysis (WWMCA) product for verification will find two
new
> tools for their use. One creates plots of the WWMCA total cloud
amount,
> while the other will interpolate the WWMCA onto any grid or map
projection,
> allowing WWMCA to be matched to the cloud forecast of interest.
>
>
> We hope that MET v3.0 enhances your WRF verification efforts. Please
send
> any comments to met_help at ucar.edu .
>
> Thank you,
>
> The MET development team
>
> Classification: UNCLASSIFIED
> Caveats: NONE
>
>
>

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