I am trying to replicate the data processing in Hu et al. but it's proving to be tricky. Should I be using "V4" inputs? The variables in data.utils (e.g. v4_inputs) are not actually described. For example, what are the "tm" variables, e.g. "tm_state_t_dyn"? I could not find these variables in the table of the ClimSim paper either.
Also, how do I preprocess the inputs in the same way as Hu et al. ? The only input preprocessing I found in data.utils is using a variant of min-max, but not all inputs in Hu et al. were normalized using min-max, some of used x/std and some used 1 - exp(-λx).
Should I first run ds_input = (ds_input - data.input_mean)/(data.input_max - data.input_min) and then manually preprocess select variables using the other two methods? But won´t the above command normalize everything with min-max?
I am trying to replicate the data processing in Hu et al. but it's proving to be tricky. Should I be using "V4" inputs? The variables in data.utils (e.g. v4_inputs) are not actually described. For example, what are the "tm" variables, e.g. "tm_state_t_dyn"? I could not find these variables in the table of the ClimSim paper either.
Also, how do I preprocess the inputs in the same way as Hu et al. ? The only input preprocessing I found in data.utils is using a variant of min-max, but not all inputs in Hu et al. were normalized using min-max, some of used x/std and some used 1 - exp(-λx).
Should I first run
ds_input = (ds_input - data.input_mean)/(data.input_max - data.input_min)and then manually preprocess select variables using the other two methods? But won´t the above command normalize everything with min-max?