What version of the code are you using?
ctsm5.2.005
Have you made any changes to files in the source tree?
no
Describe every step you took leading up to the problem:
I tried to compare the difference of urban files with transient-urban functionality in land-only regional simulations. However, grid-level urban fields (e.g. TSA_U) did not show any differences.
ds_tran = xr.open_dataset(f'{home_path}0_uk_tran_urban/archive/UKwest/lnd/hist/UKwest.clm2.h0.2014-11.nc')
ds_cntl = xr.open_dataset(f'{home_path}0_uk_tran_urban/archive/UKwest_cntl/lnd/hist/UKwest_cntl.clm2.h0.2014-11.nc')
print((ds_tran['TSA'] - ds_cntl['TSA']).mean().item(),
(ds_tran['TSA_U'] - ds_cntl['TSA_U']).mean().item(),
(ds_tran['TSA_R'] - ds_cntl['TSA_R']).mean().item())
returns 0.0011819609208032489 0.0 -0.00016095749742817134
It seems the TSA increased with urban fraction weight increase, but TSA_U difference is 0 between transient simulations and cntl simulation (the only jobscript difference is do_transient_urban).
I had no idea yet. Thanks for any comments
ctsm5.2.005
Have you made any changes to files in the source tree?
no
Describe every step you took leading up to the problem:
I tried to compare the difference of urban files with transient-urban functionality in land-only regional simulations. However, grid-level urban fields (e.g. TSA_U) did not show any differences.
ds_tran = xr.open_dataset(f'{home_path}0_uk_tran_urban/archive/UKwest/lnd/hist/UKwest.clm2.h0.2014-11.nc')
ds_cntl = xr.open_dataset(f'{home_path}0_uk_tran_urban/archive/UKwest_cntl/lnd/hist/UKwest_cntl.clm2.h0.2014-11.nc')
print((ds_tran['TSA'] - ds_cntl['TSA']).mean().item(),
(ds_tran['TSA_U'] - ds_cntl['TSA_U']).mean().item(),
(ds_tran['TSA_R'] - ds_cntl['TSA_R']).mean().item())
returns 0.0011819609208032489 0.0 -0.00016095749742817134
It seems the TSA increased with urban fraction weight increase, but TSA_U difference is 0 between transient simulations and cntl simulation (the only jobscript difference is do_transient_urban).
I had no idea yet. Thanks for any comments