SPEI: I want to be able to use the same historical calibration period (1981-2010) and apply it to future data sets (but not as one continuous gridded time series) so that the future SPEI results can be compared to the historical SPEI.
save_params
Save distribution fitting variables to this file path. The fittings NetCDF is to be used as input when using the load_params option. [NOTE: only for use with the spi entrypoint for SPI.]
But I got, after trying to add save_params to the command line:
Does save_params work with SPEI and if so how? It reads as though it may be only works for SPI? Otherwise, is there a way I can save the fitting parameters? I think these are the alphas and betas in indices.py. However, I don’t understand how to modify the code to save these.
This may be connected to issue #447 but it's not clear if this has been resolved or a solution found?
Many thanks.
Hi,
SPEI: I want to be able to use the same historical calibration period (1981-2010) and apply it to future data sets (but not as one continuous gridded time series) so that the future SPEI results can be compared to the historical SPEI.
From the documentation (https://climate-indices.readthedocs.io/en/latest/), in the table under ‘Indices Processing’,
But I got, after trying to add save_params to the command line:
Which does not list save_params as an option.
Does save_params work with SPEI and if so how? It reads as though it may be only works for SPI? Otherwise, is there a way I can save the fitting parameters? I think these are the alphas and betas in indices.py. However, I don’t understand how to modify the code to save these.
This may be connected to issue #447 but it's not clear if this has been resolved or a solution found? Many thanks.