Collaborative Research: Validation of Land Surface Hydrology Parameterizations for Climate Models

9318896 Wood该提案是由Ann-Henderson- Sellers博士（麦考瑞大学）、Dennis P. Lettenmaier博士（华盛顿大学）、和Eric F. Wood博士（普林斯顿大学）。目标是确定用于气候模拟和数值天气预报的一般环流模式（GCMs）中地表水文表征的相对性能，即它们表征地表能量通量和地表水平衡的能力。该建议有三个主要目标：1)评估选定的地表水文模型利用一系列空间尺度的数据再现测量的地表能和水通量的能力；2)确定如何最好地结合和扩展地表观测、遥感、气象分析，以验证地表参数化gcm；3)在全球大气模式的尺度下，评价gcm中选定的地表水文模式对地表水和能量通量的预测能力。一组模型将在验证方案的层次结构上进行评估。模型为Wood、Lettenmaier等人开发的变入渗能力（VIC）模型；2) LMD (CNRS, Paris) GCM的地表模式SECHIBA；3) ECMWF地表参数化；4)简化版的SiB；5)蝙蝠。验证地点和数据集将是：1)FIFE，美国中部225平方公里的原生草地区域，2)阿肯色河流域的一部分，其中至少包括美国能源部大气辐射监测（ARM）南部大平原CART站点的一部分。一个主要的重点将是利用卫星遥感测量陆地表面通量和地面测量来获得蒸散发和地表土壤湿度的大面积验证数据。＊＊＊

9318896 Wood This proposal is a collaborative effort between Dr. Ann-Henderson- Sellers (Macquarie University), Dr. Dennis P. Lettenmaier (University of Washington), and Dr. Eric F. Wood (Princeton University) The goal is to determine the relative performance of land surface hydrology representations in general circulation models (GCMs) used for climate simulation and numerical weather prediction in terms of their ability to characterize energy fluxes at the land surface and the surface water budget. The proposal has three primary objectives: 1) to evaluate the ability of selected landsurface hydrology models to reproduce measured surface energy and water fluxes using data from a range of spatial scales; 2) To determine how best to combine and extend surface observations, remote sensing, meteorological analyses to validate land surface parameterizations GCMs; 3) To evaluate the ability of selected land surface hydrology models used in GCMs to predict land surface fluxes of water and energy at the scale of global atmospheric models. A suite of models would be evaluated on a hierarchy of validation schemes. The models are 1) the variable infiltration capacity (VIC) model developed by Wood, Lettenmaier, and colleagues; 2) SECHIBA, the land surface model of the LMD (CNRS, Paris) GCM; 3) The ECMWF land surface parameterization; 4) a simplified version of SiB; and 5) BATS. The validation sites and data sets will be: 1) FIFE, a 225 Km2 region of native grassland in the central U.S., and 2) A portion of the Arkansas River basin which includes at least part of DOE's ARM (Atmospheric Radiation Monitoring) Southern Great Plains CART site. A major focus will be to use satellite remotely sensed measurements of land surface fluxes and surface measurements to obtain large-area validation data for evapotranspiration and surface soil moisture. ***