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

9318896木材这项建议是由Ann-Henderson-Sellers博士(麦格理大学)、Dennis P.Lettenmaier博士(华盛顿大学)和Eric F.Wood博士(普林斯顿大学)共同努力的，目的是确定用于气候模拟和数值天气预报的大气环流模式(GCM)中陆地表面水文表示的相对性能，因为它们能够表征陆地表面的能量通量和地表水收支。该建议有三个主要目标：1)评价选定的地表水文学模型利用各种空间尺度的数据重现测得的地表能量和水通量的能力；2)确定如何最好地结合和推广地面观测、遥感、气象分析以验证陆面参数GCM；3)评价用于全球大气模型的选定陆面水文学模型在全球大气模型尺度上预测陆面水和能量通量的能力。一套模型将在验证方案的层次结构上进行评估。这些模式包括：1)Wood和Lettenmaier及其同事开发的可变入渗能力(VIC)模式；2)LMD(CNRS，Paris)GCM的陆面模式SECHIBA；3)ECMWF陆面参数化；4)SIB的简化版本；以及5)BATS。验证地点和数据集将是：1)FIFE，美国中部225平方公里的天然草原区域，以及2)阿肯色河流域的一部分，其中至少包括美国能源部ARM(大气辐射监测)南部大平原Cart站点的一部分。主要的重点将是利用陆地表面通量的卫星遥感测量和地面测量来获得大面积的蒸散和表层土壤水分验证数据。***

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. ***