A Statistical-Dynamical Downscaling Procedure for Global Climate Simulations.
作者： F. Frey-Buness , D. Heimann , R. Sausen
DOI: 10.1007/BF00866111
关键词:
摘要: A statistical-dynamical downscaling procedure for global climate simulations is described. The based on the assumption that any regional associated with a specific frequency distribution of classified large-scale weather situations. distributions are derived from multi-year episodes low resolution simulations. Highly resolved wind and temperature calculated model each class situation. They statistically evaluated by weighting them according climate-specific frequency. exemplarily applied to Alpine region simulation present January climate. Δλ west-east mesh size in geographic coordinates Δϕ south-north N number classes n regional-scale event p pressure P probability O ϕ q v humidity θ potential u component v
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