Can IMERG Data Capture the Scaling of Precipitation Extremes With Temperature at Different Time Scales?

This study evaluates the validity of Integrated Multisatellite Retrievals for Global Precipitation Measurement (IMERG) in scaling extreme precipitation with temperature (termed factor, SF). To this end, we use Hadley-Integrated Surface Database (HadISD) data set at 1-hourly, 6-hourly, and 24-hourly scales between 2000 2020 over contiguous United States (CONUS) as a reference set. Our findings reveal that IMERG can capture changes extremes scales, especially dry regions. The difference IMERG's SF HadISD's 6-hourly scale is less than 0.3%/°C areas. However, underestimates wet regions, 1-hourly scale, up to ∼5%/°C. It found performance dependent on temperature, particularly scale. overestimates precipitations when temperatures are below 5°–11°C while opposite true higher temperatures, indicating need considering adjusting IMERG.