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Can WRF Be Driven by Outputs from Large AI Weather Models?

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view_2006

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Hello WRF Community,

I have been exploring the possibility of using outputs from large AI-based weather models to drive the WRF model. My idea is to use AI model forecasts (e.g., pangu, graphcast, fourcastnet, etc.) as input to initialize WRF simulations.

I know that the WRF model can be run using FNL or ERA5 data, but I am not sure whether it is applicable to AI models. The output variables of AI models are generally u-wind, v-wind, geopotential, specific humidity, temperature; and mean slp, u10, v10, t2m, etc.

I’d greatly appreciate your thoughts and advice.

Best regards,
Feng
 
Feng,
If the AI model outputs include all the variables required for running WRF, then yes you can use AI output to drive WRF.

Please find all the variables required for running WRF in this document.
 
Ming Chen said:
Feng,
If the AI model outputs include all the variables required for running WRF, then yes you can use AI output to drive WRF.

Please find all the variables required for running WRF in this document.
Click to expand...
Hello Ming,

Thanks for your reply. I checked the document and found that soil informations were not provided by the AI models. Is it possible to obtain soil information from other forecastings to complement the AI predictions?

Many thanks for your help.
 
So far we haven't conducted such simulations yet. Let's see whether someone in the community can provide information...
 
I use AIFS for the atmosphere data and ICON-Global soil and snow cover data.

Basically, follow the instructions provided by the gentlemen Mariusz Figurski for ungribbing IFS data here:
forum.mmm.ucar.edu

Change in soil variables from ECMWF Cycle 49r1

On Tuesday (November 12), ECMWF released the 49r1 version of the operational IFS. Despite all the improvements, they modified the soil variables (temperature and humidity) which stopped the ECMWF Vtable that had been released in the 4.6.0 version of the WPS. Based on the new variables made...
forum.mmm.ucar.edu forum.mmm.ucar.edu

... with the exception of anything that is related to the soil (temperature and moisture), so delete those lines from the Vtable. Then download either ICON or GFS and use soil temperature and moisture fields (and I recommend snow cover, too, as there is none in AIFS) to fill that data gaps, using this procedure:

I hope this helps.

P.S. Maybe, mr. @figurski can implement path for ungribbing AIFS soil data too, but I think there are only 2 layers there so that is little bit less than optimal at this point.
 
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