[Met_help] [rt.rap.ucar.edu #42047] History for MPR information

[RAL HelpDesk {for John Halley Gotway}]

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  Initial Request
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met_help,

I have another question along the same lines as this previous thread.  I
want to aggregate matched pair data over a month.  I have point_stat
output for forecast hours 1-6 from 4 runs per day (0Z, 06Z, 12Z, and 18Z
model runs).  I want to produce a report of forecast performance for
each variable separately as a function of valid time.  For example, I
want to produce CNT statistics for 2-m temperature for 4Z each day by
combining the 4-hour forecast from the 00Z run for each day of the
month.  I would think this would mean filtering by -fcst_valid_beg and
-fcst_valid_end but those fields in the MPR files include the date stamp
as well as the time of day (e.g. 20101031_120000).  I would want to
aggregate just by the hour (120000) and not the day.  Is there a way
around this?  At present we are aggregating by lead time, but then we
lose the ability to see how the forecast error changes as function of
time of day.

Thank you!
Jackie


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  Complete Ticket History
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Subject: Re: [rt.rap.ucar.edu #42047] MPR information
From: John Halley Gotway
Time: Wed Nov 10 10:03:16 2010

Jackie,

Yes, filtering out the timing for the data you want to use can be
tricky.  Right now, STAT-Analysis includes an option for filtering by
"-init_hour" which is the hour of the day.  But it does not
include the option of filtering by "-valid_hour" - that is on our
development list but we didn't get it in in time for the METv3.0
release.

I'm hoping though that you can use a combination of "-fcst_init_hour"
and "-fcst_lead" to filter out the data you want:
   -fcst_init_hour 00 -fcst_lead 04

This allows you to grab the 4-hour forecast from the 00Z run from each
day.  But it won't allow you for example to combine all the forecasts
that are valid at the same time, but initialized at
different times: for example, you can't combine the 9-hour forecast
from 00Z with the 3-hour forecast from 06Z, both valid it 09Z.

Will this meet your needs?

John

On 11/10/2010 09:43 AM, RAL HelpDesk {for John Halley Gotway} wrote:
>
> Wed Nov 10 09:43:53 2010: Request 42047 was acted upon.
> Transaction: Ticket created by johnhg
>        Queue: met_help
>      Subject: MPR information
>        Owner: johnhg
>   Requestors: jackie.miller at vaisala.com
>       Status: new
>  Ticket <URL:
https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=42047 >
>
>
> met_help,
>
> I have another question along the same lines as this previous
thread.  I
> want to aggregate matched pair data over a month.  I have point_stat
> output for forecast hours 1-6 from 4 runs per day (0Z, 06Z, 12Z, and
18Z
> model runs).  I want to produce a report of forecast performance for
> each variable separately as a function of valid time.  For example,
I
> want to produce CNT statistics for 2-m temperature for 4Z each day
by
> combining the 4-hour forecast from the 00Z run for each day of the
> month.  I would think this would mean filtering by -fcst_valid_beg
and
> -fcst_valid_end but those fields in the MPR files include the date
stamp
> as well as the time of day (e.g. 20101031_120000).  I would want to
> aggregate just by the hour (120000) and not the day.  Is there a way
> around this?  At present we are aggregating by lead time, but then
we
> lose the ability to see how the forecast error changes as function
of
> time of day.
>
> Thank you!
> Jackie

------------------------------------------------
Subject: RE: [rt.rap.ucar.edu #42047] MPR information
From: jackie.miller
Time: Wed Nov 10 12:45:05 2010

Hi John,

Yes, I believe this will work!  I will give it a try and see.  Thanks
for your advice.

Jackie

Jackie Miller
Meteorologist
Vaisala Inc.

Phone +1 303 885 3251
Mobile +1 303 885 3251
www.vaisala.com

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-----Original Message-----
From: RAL HelpDesk {for John Halley Gotway} [mailto:met_help at ucar.edu]
Sent: Wednesday, November 10, 2010 11:03 AM
To: Miller Jackie JCM
Subject: Re: [rt.rap.ucar.edu #42047] MPR information

Jackie,

Yes, filtering out the timing for the data you want to use can be
tricky.  Right now, STAT-Analysis includes an option for filtering by
"-init_hour" which is the hour of the day.  But it does not
include the option of filtering by "-valid_hour" - that is on our
development list but we didn't get it in in time for the METv3.0
release.

I'm hoping though that you can use a combination of "-fcst_init_hour"
and "-fcst_lead" to filter out the data you want:
   -fcst_init_hour 00 -fcst_lead 04

This allows you to grab the 4-hour forecast from the 00Z run from each
day.  But it won't allow you for example to combine all the forecasts
that are valid at the same time, but initialized at
different times: for example, you can't combine the 9-hour forecast
from
00Z with the 3-hour forecast from 06Z, both valid it 09Z.

Will this meet your needs?

John

On 11/10/2010 09:43 AM, RAL HelpDesk {for John Halley Gotway} wrote:
>
> Wed Nov 10 09:43:53 2010: Request 42047 was acted upon.
> Transaction: Ticket created by johnhg
>        Queue: met_help
>      Subject: MPR information
>        Owner: johnhg
>   Requestors: jackie.miller at vaisala.com
>       Status: new
>  Ticket <URL:
https://rt.rap.ucar.edu/rt/Ticket/Display.html?id=42047
>
>
>
> met_help,
>
> I have another question along the same lines as this previous
thread.
I
> want to aggregate matched pair data over a month.  I have point_stat
> output for forecast hours 1-6 from 4 runs per day (0Z, 06Z, 12Z, and
18Z
> model runs).  I want to produce a report of forecast performance for
> each variable separately as a function of valid time.  For example,
I
> want to produce CNT statistics for 2-m temperature for 4Z each day
by
> combining the 4-hour forecast from the 00Z run for each day of the
> month.  I would think this would mean filtering by -fcst_valid_beg
and
> -fcst_valid_end but those fields in the MPR files include the date
stamp
> as well as the time of day (e.g. 20101031_120000).  I would want to
> aggregate just by the hour (120000) and not the day.  Is there a way
> around this?  At present we are aggregating by lead time, but then
we
> lose the ability to see how the forecast error changes as function
of
> time of day.
>
> Thank you!
> Jackie


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