Global Soil Wetness Project

在这项研究中，我们试图产生一个全球土壤湿度数据集。模式导向的方法是基于几个1-D土壤-植被-大气传输方案（SVATS），这些方案被纳入大气环流模式（GCMs）。ISLSCP倡议1被用作统一的大气强迫数据。采用统一的指标对模型生成的土壤湿度数据集进行比较。东京大学气候系统研究中心作为国际比较中心。世界十大模特团体参加了这个项目。对比结果表明，产品间存在较大差异。在小于饱和条件下，模式反演的地表湿度与卫星反演的地表湿度基本一致。利用实测土壤湿度资料、大气流域水分收支方法和短期水分收支方法，模型产生的数据集在定性上有很好的对应关系，但在定量上没有很好的对应。

In this study, we tried to produce a global soil wetness data set. Model oriented approach is based on several 1-D Soil Vegetation Atmosphere Transfer Schemes(SVATS)which are incorporated in General Circulation Models (GCMs). The ISLSCP Initiative 1 was used as unified atmospheric forcing data. An unified index was used for inter-comparison of model produced soil wetness data sets. Center for Climate Systems Research, University of Tokyo functioned as an Inter-comparison CenterICC). The major ten modeling groups in the world joined this projicts. The results of inter-comparison shows, there is quite large difference among the products. Surface wetness derived from models corresponds to satellite-based one under the condition less than saturate. Bu using the observed soil moisture data, the atmospherebasin water budget method and the short term water budget method, the model produced data sets show good correspondence qualitatively but not quantitatively.