Arpège model input

Dataset specific topics involving WPS.

Arpège model input

Postby beni » Mon Aug 17, 2015 11:09 am


Météo France recently opened up gridded numerical forecast model data for its global model, Arpège.
The files are in GRIB2 format, updated 4 times a day, with 6 hours frequency, and in 0.1 degree resolution for Europe (0.5 degree for the rest of the world).
It can be downloaded from here:

I wondered if there is a way to use it as an input source and boundary condition for a WRF run - Vtable, download sript, etc. Does anyone have experience with this?
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Re: Arpège model input

Postby imdnme » Sun Jul 17, 2016 4:20 am

Download script - you can make one yourself, by right-clicking the active (or finished) downloads in your browser and copying the download link. No more than 4 simultaneous downloads are allowed.
Something like:
Code: Select all

Using this data in WRF, however, is tricky.
You can make your own Vtables, based on the GRIB codes and variable names from Vtable.ECMWF ( which is for GRIB1), but you need to add 4 columns to the right (GRIB2, for example look at Vtable.GFS).

You also need to split the ARPEGE GRIB2 files, which contain multiple forecast times (arranged by variable), into time-specific files, so ungrib can read them. This can be done by installing and using wgrib2.

ARPEGE file IP1 has the variables GEOPT, T, U, V, RH; file SP1 - Sea level pressure, U10m , V10m, T2m, RH2m; file SP2 - Surface pressure, SKINTEMP, but soil variables seem to be missing completely.

So far I succeeded in making 3 Vtables and running ungrib, but metgrid complains about the missing soil data and stops.
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Location: Bulgaria

Re: Arpège model input

Postby beni » Tue Jun 13, 2017 12:57 pm

Thank you for your help, Imdnme! I've managed to download and use the GRIB files, based on your instructions. I have to say that I'm really amazed by the skills of the forecast made using these datasets. It clearly shows the adventage of Meteo France's data assimilation procedures. I want to encourage everybody to try these datasets instead of GFS!
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