A resampling scheme for regional climate simulations and its performance compared to a dynamical RCM

摘要: A new statistical method for regional climate simulations is introduced. Its are constrained only by the parameters of a linear regression line characteristic climatological variable. Simulated series generated resampling from segments observation such that resulting comply with prescribed and possess realistic annual cycles persistence. The guarantees simulated physically consistent both respect to combinations different meteorological variables their spatial distribution at each time step. approach evaluated means cross validation experiment Elbe river basin: compared an observed climatology data dynamical RCM. This shows able reproduce statistics as long-term means, persistence features (e.g., dry spells) extreme events. agreement its observational much closer than RCM data.