Surface, Boundary Layer and Cloud Interactions of Energy, Water and Carbon Dioxide (CO2)

能量、水和二氧化碳 (CO2) 的表面、边界层和云相互作用

• 批准号: 0529797
• 负责人: Alan Betts
• 金额: $ 50.51万
• 依托单位: Betts, Alan K
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0529797&HistoricalAwards=false
• 关键词: Surface; Boundary; Layer; Cloud; Interactions

Considerable progress has been made in evaluating the present generation of global models and reanalyses, but there are still deficiencies in their physical parameterizations, particularly in the modeling of energy and water transports at the land surface, and in the coupling of the surface and boundary layer to clouds and precipitation. This research advances the understanding of the interactions between the land surface fluxes of energy, water and carbon dioxide with clouds and precipitation, in support of global analysis and modeling of the earth's land-atmosphere system.Intellectual merit: The PI will (1) analyze flux tower datasets, examine their use for evaluating the representation of physical processes in global models, and evaluate global reanalyses on river basin scales, and (2) develop idealized models for the atmospheric boundary layer. Broader Impacts: The research will improve medium-range and seasonal weather forecasting, and quantify the component of the surface CO2 budget associated with natural vegetation.

在评价目前这一代全球模式和再分析方面已经取得了相当大的进展，但在其物理参数化方面仍有不足之处，特别是在陆地表面能量和水分输送的模拟方面，以及在将表面和边界层与云和降水耦合方面。 这项研究促进了对陆地表面能量、水和二氧化碳通量与云和降水之间相互作用的理解，为全球分析和地球陆-气系统建模提供了支持。PI将（1）分析通量塔数据集，检查其用于评估全球模型中物理过程的代表性，并评估流域尺度的全球再分析，（2）发展理想化的大气边界层模式。更广泛的影响：这项研究将改进中期和季节性天气预报，并量化与自然植被有关的地表二氧化碳收支的组成部分。