Comparative validation of statistical and dynamical downscaling models on a dense grid in central Europe: temperature

Abstract

Minimum and maximum temperature in two regional climate models and five statistical downscaling models are validated according to a unified set of criteria that have a potential relevance for impact assessments: persistence (temporal autocorrelations), spatial autocorrelations, extreme quantiles, skewness, kurtosis, and the degree of fit to observed data on both short and long times scales.

Keywords

• sttistical downscaling
• validation
• central Europe
• climatology