In SDSM, ASD and other such statistical downscaling models, what are the effective measures to compare ensemble output for precipitation (which is generated VIA random seeds) ? Is it a better option to compare just a single time series of a median or mean for daily ensemble, as ensmble is anyways random.
I mean to say in case where each realisation is generated from different dataset or scenarios; the ensemble verification of the output precipitation makes sense. But random seed generated ensemble verification and comparison of results does not appears meaningful to me.
Hi,
I think when you ensemble different methods, you can decrease the effect of uncertainty of them. Due to each SD methods use different mathematical basic formula, so running different models, can make us a better decision by comparing their results. But I think it's better that run different models in observation period and then we can decide that which of them are better, and after that use ensemble process.
Best Regards,
Nasrin
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