Estimating pros and cons of statistical downscaling based on EQM bias adjustment as a complementary method to dynamical downscaling.

ABSTRACT: The increasing availability of coarse-scale climate simulations and the need for ready-to-use high-resolution variables drive the climate community to the challenge of reducing computational resources and time for downscaling purposes. To this end, statistical downscaling is gaining interest as a potential strategy for integrating high-resolution climate information obtained through dynamical downscaling over limited years, providing a clear understanding of the gains and losses in combining dynamical and statistical downscaling. In this regard, several questions can be raised: (i) what is the performance of statistical downscaling, assuming dynamical downscaling as a reference over a shared time window; (ii) how much the performance of statistical downscaling is affected by changes in the

SUBMITTER: Reder A 

PROVIDER: S-EPMC11699202 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature