I am trying to modify ERA5 data to test different assumptions to amplify precipitation using the WRF model. I have done some work to modify the input data I am using to initialize WRF (ERA5). In the extreme case, I tried modifying the relative humidity ERA5 data to be 100% in all vertical layers over some footprint. The modified input data looks fine for all vertical layers but the resulting met_em files appear to impose some limit on RH when the pressure level is less than 700 hPa (e.g., appears limited to ~80% at 300 hPa).
Is there some check in the metgrid processes that adjusts the data to be consistent with other variables (e.g., temperature or geopotential)? If so, where is this done in the code? Would there be a similar issue if I modify temperature by adding some perturbation temperature to all levels?
Thanks for any insights in advance!
Is there some check in the metgrid processes that adjusts the data to be consistent with other variables (e.g., temperature or geopotential)? If so, where is this done in the code? Would there be a similar issue if I modify temperature by adding some perturbation temperature to all levels?
Thanks for any insights in advance!