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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >REGEOTOP: New climatic data fields for East Asia based on localized relief information and geostatistical methods
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REGEOTOP: New climatic data fields for East Asia based on localized relief information and geostatistical methods

机译:REGEOTOP:基于局部救济信息和地统计方法的东亚新气候数据字段

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Climate data fields represent essential tools for climate, biogeographical and agricultural research to run models and to provide observational data for the verification of global climate models (GCM). Climate data fields are generated through interpolation of observations taken at meteorological stations. Most current interpolation procedures try to describe the influence of topography on spatial climatic variations by relating them directly to absolute elevation or by introducing simple relief variables such as exposure. In both cases this may not properly describe spatial climatic variations, particularly not those of precipitation. This paper describes a regionalization procedure (REGEOTOP) that was applied to generate monthly spatial climatic data fields of temperature, precipitation and potential evapotranspiration (1951-90) for East Asia at 0.25° resolution from a new climate data base. REGEOTOP proceeds in several steps, combining statistical and geostatistical methods. First, basic relief types are determined by application of principal component analysis to moving windows in a digital elevation model (DEM) of the study area. Second, climatic variables are related to relief parameters by regression analysis with respect to basic relief types, location, and elevation. To account for large-scale variation of climate variables, geostatistical variogram analysis (step three) and interpolation (step four) are applied to the regression residuals. Finally, maps of regression estimates plus kriged residuals are calculated, for a total of 1440 cases. The relief parameterization retains about 90% of the variance of a DEM in 10-18 principal components, depending on input parameters. The REGEOTOP method is computationally expensive, but results justify the effort. Owing to the thorough analysis in the REGEOTOP method and its application to the most comprehensive climate databases that exist outside China to date, the resultant maps provide a solid basis for GCM verification or hydrological and agro-ecologic investigations and prognoses for East Asia.
机译:气候数据字段代表了用于气候,生物地理和农业研究的重要工具,以运行模型并提供观测数据以验证全球气候模型(GCM)。气候数据字段是通过对气象站的观测值进行插值而生成的。当前大多数插值程序都试图通过将地形与绝对海拔高度直接相关或通过引入简单的地形变量(例如暴露)来描述地形对空间气候变化的影响。在两种情况下,这都可能无法正确描述空间气候变化,特别是降水变化。本文介绍了一种区域化程序(REGEOTOP),该程序用于从新的气候数据库中以0.25°的分辨率生成东亚地区温度,降水和潜在蒸散量(1951-90)的月度空间气候数据字段。 REGEOTOP分几个步骤进行,结合了统计方法和地统计方法。首先,通过将主成分分析应用于研究区域的数字高程模型(DEM)中的移动窗口来确定基本的浮雕类型。第二,通过对基本地形类型,位置和海拔进行回归分析,将气候变量与地形参数相关。为了解决气候变量的大规模变化,对回归残差应用了地统计变异函数分析(第三步)和内插法(第四步)。最终,计算了总共1440个案例的回归估计图和Kriged残差图。浮雕参数化根据输入参数保留10-18个主成分中DEM的方差的90%。 REGEOTOP方法在计算上很昂贵,但结果证明了这一努力的合理性。由于对REGEOTOP方法进行了详尽的分析并将其应用到迄今为止中国以外最全面的气候数据库中,因此生成的地图为GCM验证或东亚的水文和农业生态调查与预测提供了坚实的基础。

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