A machine-learning downscaling of 13 CMIP6 models projects that Bangladesh's 100-year extreme rainfall increases by roughly 50 mm/day by mid-century and 100 mm/day by 2100 under SSP5-8.5.
Priming the downscaling model with statistics and physics-derived rainfall fields [8] improves the physical consistency and alleviates data paucity issues
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Rapid Climate Model Downscaling to Assess Risk of Extreme Rainfall in Bangladesh in a Warming Climate
A machine-learning downscaling of 13 CMIP6 models projects that Bangladesh's 100-year extreme rainfall increases by roughly 50 mm/day by mid-century and 100 mm/day by 2100 under SSP5-8.5.