CMIP5/CIMP6(地表空气比湿)(5 种模式, 4种排放情景)
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数据包括了中国区域CMIP5计划中的5个模型(GFDL-ESM2M, HadGEM2-ESM-ES, IPSL-CM5A-LR, MIROC5,NorESM-M),4套未来情景下(RCP26, RCP45, RCP60, RCP85)的地表空气比湿数据,区域气候模式(Regional Climate Model, RCM)其相对 GCM 具有更高的分辨率,能更好反映区域气候特征。通过 RegCM4 模式动力降尺度方法将中国区域 CMIP5 计划中的5个模型的粗分辨率的 4 套未来情景气候资料降到 0.25 度,再结合 MicroMet 统计降尺度方法将 0.25 度未来气候资料制备成 0.05度, 逐3小时。
This dataset contains surface air specific humidity data under four future emission scenarios (RCP26, RCP45, RCP60, RCP85) from five CMIP5 models over China: GFDL-ESM2M, HadGEM2-ESM-ES, IPSL-CM5A-LR, MIROC5, and NorESM-M. Regional Climate Models (RCMs) have higher spatial resolution than General Circulation Models (GCMs), enabling better characterization of regional climate features. First, the coarse-resolution future climate datasets of the four scenarios from the five CMIP5 models over China were dynamically downscaled to a 0.25° spatial resolution using the RegCM4 framework. Subsequently, the 0.25° future climate data were further processed via the MicroMet statistical downscaling method to produce a 0.05° spatial resolution dataset with 3-hourly temporal resolution.




