Can you share your ideas regarding bias correction and downscaling the output of GCMs for sub-daily rainfall for the scenarios of CMIP6?

10 January 2024 1 10K Report

I'm focusing on bias-correction and downscaling the output of GCMs for the scenarios of the Coupled Model Intercomparison Project Phase 6 (CMIP6)—shared socioeconomic pathways (SSPs). I intend to do it for sub-daily rainfall (i.e. 3-hr rainfall). Thus, I'm interested to learn basically about the concepts, methodologies, considerations, technical approaches(i.e. any programming codes or software). Can anyone please help me in this regard? To be honest I'm a bit new in this field so some basic conceptions can also be very helpful. I intend to work in R so codes in R would be better. Which statistical approaches would be better? Like Quantile mapping or SDSM?

Mohammad Tavosi

Hello. From the CMhyd software, you can perform microscale statistical methods to extract the daily rainfall of climate change scenarios.

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