[Met_help] [rt.rap.ucar.edu #73074] History for MET package - Comparison of ungridded time series

[John Halley Gotway via RT]

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

Dear MET support team,
Our lab is working on the capacity of current weather prediction models to apropriately forecast solar irradiance variables. In this frame, I am considering using the MET package.
More precisely, I need to compare measurement time series at a certain point with forecasted solar irradiance at this same point (basically compare 2 ungridded time series). It seems to me that the MET package is essentially addressing the performances of *GRIDDED* forecast data.
Does it also offer the possibility of comparing 2 ungridded time series: 2 time series of point observation of the same physical value, at the same geographical coordinates, but originating from 2 different measurement/modelling sources) ?

Thank you for your help, and congratulations for this outstanding work !

-- 
Dr. Jean Dubranna
MINES ParisTech, PSL research university
Observation, Impacts, Energy Centre (O.I.E.)
Rue Claude Daunesse
CS 10207 - F-06904 Sophia-Antipolis, France
Tel : +33 4 93 95 74 36
jean.dubranna at mines-paristech.fr


----------------------------------------------------------------
  Complete Ticket History
----------------------------------------------------------------

Subject: MET package - Comparison of ungridded time series
From: Tara Jensen
Time: Mon Aug 24 09:55:14 2015

Jean,

Tara Jensen here.  I'm glad you are interested in using MET for your
verification needs. Sorry for the delay in answering.  Friday was a
busy day.

While MET generally requires at least 1 grid, we have been using the
Stat-Analysis tool to evaluate two non-gridded point forecasts for
some of our renewables work here at NCAR.  Additionally, the next
release of MET will have the capability of identifying ramps and
calculating categorical statistics once the events are identified.  We
expect the release to be out in mid-to-late September.

To use Stat-Analysis for calculating statistics, you would need to
pre-process your files to be like the MET matched pair (MPR) line
type.  This includes 21 headers columns, station meta-data like the
ID, lat, lon, and finally the forecast and obs values and a quality
control value if desired. You can find the format for the 21 column
header on page 4-18 of the MET Documentation and the MPR line type on
page 4-28.

Please let me know if you have any other questions.
Thanks, Tara

On Fri Aug 21 06:34:12 2015, jean.dubranna at mines-paristech.fr wrote:
> Dear MET support team,
> Our lab is working on the capacity of current weather prediction
>    models to apropriately forecast solar irradiance variables. In
this
>    frame, I am considering using the MET package.
> More precisely, I need to compare measurement time series at a
certain
>    point with forecasted solar irradiance at this same point
>    (basically compare 2 ungridded time series). It seems to me that
>    the MET package is essentially addressing the performances of
>    *GRIDDED* forecast data.
> Does it also offer the possibility of comparing 2 ungridded time
>    series: 2 time series of point observation of the same physical
>    value, at the same geographical coordinates, but originating from
2
>    different measurement/modelling sources) ?
>
> Thank you for your help, and congratulations for this outstanding
work
>    !
>



------------------------------------------------
Subject: Re: [rt.rap.ucar.edu #73074] MET package - Comparison of ungridded time series
From: Jean DUBRANNA - MINES ParisTech
Time: Tue Aug 25 02:11:02 2015

Dear Tara,
Thank you for this detailed information.
It perfectly answers my questions so far.
I will definitely let you know if I have more questions.
Thank you,
Jean

----- Mail original -----
De: "Tara Jensen via RT" <met_help at ucar.edu>
À: "jean dubranna" <jean.dubranna at mines-paristech.fr>
Cc: "philippe blanc" <philippe.blanc at mines-paristech.fr>
Envoyé: Lundi 24 Août 2015 17:55:15
Objet: [rt.rap.ucar.edu #73074] MET package - Comparison of ungridded
time series

Jean,

Tara Jensen here.  I'm glad you are interested in using MET for your
verification needs. Sorry for the delay in answering.  Friday was a
busy day.

While MET generally requires at least 1 grid, we have been using the
Stat-Analysis tool to evaluate two non-gridded point forecasts for
some of our renewables work here at NCAR.  Additionally, the next
release of MET will have the capability of identifying ramps and
calculating categorical statistics once the events are identified.  We
expect the release to be out in mid-to-late September.

To use Stat-Analysis for calculating statistics, you would need to
pre-process your files to be like the MET matched pair (MPR) line
type.  This includes 21 headers columns, station meta-data like the
ID, lat, lon, and finally the forecast and obs values and a quality
control value if desired. You can find the format for the 21 column
header on page 4-18 of the MET Documentation and the MPR line type on
page 4-28.

Please let me know if you have any other questions.
Thanks, Tara

On Fri Aug 21 06:34:12 2015, jean.dubranna at mines-paristech.fr wrote:
> Dear MET support team,
> Our lab is working on the capacity of current weather prediction
>    models to apropriately forecast solar irradiance variables. In
this
>    frame, I am considering using the MET package.
> More precisely, I need to compare measurement time series at a
certain
>    point with forecasted solar irradiance at this same point
>    (basically compare 2 ungridded time series). It seems to me that
>    the MET package is essentially addressing the performances of
>    *GRIDDED* forecast data.
> Does it also offer the possibility of comparing 2 ungridded time
>    series: 2 time series of point observation of the same physical
>    value, at the same geographical coordinates, but originating from
2
>    different measurement/modelling sources) ?
>
> Thank you for your help, and congratulations for this outstanding
work
>    !
>





------------------------------------------------