Understanding and characterizing land surface-atmosphere exchange and feedbacks

了解和描述陆地表面-大气交换和反馈

• 批准号: 268218614
• 负责人: Privatdozent Dr. Axel Kleidon
• 金额: --
• 依托单位: Max-Planck-Institut für Biogeochemie (MPI-BGC)
• 依托单位国家: 德国
• 项目类别: Research Units
• 财政年份: 2014
• 资助国家: 德国
• 起止时间: 2013-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/268218614?language=en
• 关键词: Understanding; characterizing; land; surface; atmosphere

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.

该项目使用三种不同和互补的方法来量化当地到区域的蒸散和地表能量平衡分配。第一种方法利用半物理的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计值。第二种方法利用WRF-NOAH-MP模式系统100m尺度的水文气象模拟来研究土壤-植被-大气反馈和中尺度环流对区域蒸散的影响，其细节是前所未有的。第三种方法使用对流交换的热力学极限来推断土壤-植被-大气相互作用的大小、大气混合过程和局部到区域的蒸散模式。将利用专门的实地活动对地表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估。WRF-NOAH-MP模式也被应用于定量降水预报中，通过同化偏振雷达资料来改善初始水平衡分量。在一项联合综合活动中对这些方法进行了评估，涉及从地方到集水区尺度的地表能量平衡估计及其关闭假设。这三种复杂程度截然不同的方法的综合，有可能大大提高我们理解和预测区域蒸散和地表能量平衡的能力。