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

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 interes...

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Bibliographic Details
Main Authors: Alfredo Reder, Giusy Fedele, Ilenia Manco, Paola Mercogliano
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Empirical quantile mapping (EQM)
Climate reanalysis
Temperature and precipitation downscaling
Performance evaluation
Training period variability
Online Access:https://doi.org/10.1038/s41598-024-84527-5
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https://doi.org/10.1038/s41598-024-84527-5

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