Comparison of climate change scenarios generated from regional climate model experiments and statistical downscaling
作者： L. O. Mearns , I. Bogardi , F. Giorgi , I. Matyasovszky , M. Palecki
DOI: 10.1029/1998JD200042
关键词:
摘要: We compare regional climate change scenarios (temperature and precipitation) over eastern Nebraska produced by a semiempirical statistical downscaling (SDS) technique model (RegCM2) experiments, both using large scale information from the same coarse resolution general circulation (GCM) control 2 × CO2 simulations. The SDS method is based on pattern classification in combination with stochastic generation of daily time series temperature precipitation. It uses values 700 mbar geopotential heights as large-scale variable. driven initial lateral boundary conditions GCM. RegCM2 exhibited greater spatial variability than for seasonal cycle much larger amplitude that or Daily mainly decreased methods Changes mean precipitation varied between RegCM2. simulated increases decreases probability precipitation, while only increases. explore possible dynamical physical reasons differences two
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