Understanding and characterizing land surface-atmosphere exchange and feedbacks

该项目使用三种不同的和互补的方法来量化本地到区域的蒸散和地表能量平衡分区。第一种方法利用半物理Penman-Montelth方程，结合互补关系和热遥感，得到高分辨率的蒸散量估算。第二种方法是利用WRF-NOAH-MP模式系统的100 m尺度的水文气象模拟，以前所未有的细节研究土壤-植被-大气反馈和中尺度环流对区域蒸散的影响。第三种方法利用对流交换的热力学限制来推断土壤-植被-大气相互作用、大气混合过程和局部到区域蒸散模式的大小。将利用一个专门的实地活动对表面能量平衡进行微气象测量，并利用CAOS实地观测对这些方法进行评价。本文还将WRF-NOAH-MP模式应用于定量降水预报，同化偏振雷达资料，改善初始水量平衡分量。这些方法进行了评估，在一个联合合成活动，从当地到流域尺度的地表能量平衡估计和他们的封闭假设。综合这三种方法的巨大不同的复杂性有可能大大提高我们的能力，了解和nDbustly预测区域蒸散和地表能量平衡。

This project uses three different and complementary approaches to quantify local to regional evapotranspiratlon and surface energy balance partitioning. The first approach uses the seml-physlcal-, Penman-Montelth equation combined with the complementary relationshipand thermal remote sensing to derive high resolution estimates of evapotranspiratlon. The second approach uses hydna-meteorological simulations of the WRF-NOAH-MP model system down to scales of 100 m to study the effects of soll-vegetatlon-atmosphere feedbacksand mesoscale circulations on regional evapotranspiratlon with unprecedented detail. The third approach uses the thermodynamic limit on convectlve exchange to Infer the magnitude of soll-vegetation-atmosphere Interactions, atmospheric mixing processes, and local to regional evapotranspiratlon patterns. A dedicated field campaign performing micrometeorologlcal measurements of the surface energy balance and the CAOS field observations will be used to evaluate these methods. The WRF-NOAH-MP model Is also applied for quantitative precipitation forecasting by assimilating polarization radar data to Improve Initial water budget components. These approaches are evaluated In a joint synthesis activity regarding surface energy balance estimates from local to catchment scale and their closure assumptions. The synthesis of these three approaches of vastly different complexity has the potential to substantially advance our ability to understand and nDbustly predict regional evapotranspiratlon and the surface energy balance.