A downscaling and bias correction method for climate model ensemble simulations of local-scale hourly precipitation.

ABSTRACT: Ensemble simulations of climate models are used to assess the impact of climate change on precipitation, and require downscaling at the local scale. Statistical downscaling methods have been used to estimate daily and monthly precipitation from observed and simulated data. Downscaling of short-term precipitation data is necessary for more accurate prediction of extreme precipitation events and related disasters at the regional level. In this study, we developed and investigated the performance of a downscaling method for climate model simulations of hourly precipitation. Our method was designed to recognize time-varying precipitation systems that can be represented at the same resolution as the numerical model. Downscaling improved the estimation of the spatial distribution of hourly preci

SUBMITTER: Yoshikane T 

PROVIDER: S-EPMC10256754 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature