Can WPS Static Geographical Data Affect WRF Precipitation Results?

[ry jin]

I’m wondering whether the static geographical data used in WPS can affect the precipitation results of a WRF simulation. I ran simulations using different static geographical datasets and noticed that the precipitation results are indeed different.

 

[Ming Chen]

Different static data may affect various fields and leads to differences in model results. This is a common feature in numerical studying.

 

[ry jin]

Different static data may affect various fields and leads to differences in model results. This is a common feature in numerical studying.

Thank you for the explanation! I have one more question. Do I need to choose or modify the static geographical data according to my simulation domain, or is it generally fine to use the default geographical data provided with WPS?
I had always used the default geographical data in my previous WRF simulations. It was only recently, after changing the geographical data, that I noticed there could be differences in the precipitation results. So I’m wondering whether I should use different geographical datasets depending on the simulation domain.

 

[Ming Chen]

No, you don't need to change the static input data. The default data used by WPS are based on i-situ and satellite remote sensing observations. They are taken as 'true' condition of terrain height, vegtype, etc.

You only need to change them when you need to run sensitivity experiments.