Effects of Cloud and Radiation Processes on the Global Water and Energy Cycle

云和辐射过程对全球水和能源循环的影响

• 批准号: 0935263
• 负责人: Xiaoqing Wu
• 金额: $ 30.83万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-15 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0935263&HistoricalAwards=false
• 关键词: Effects; Cloud; Radiation; Processes; Global

Cloud, radiation and precipitation processes are key components of the global water and energy cycle and operate on a wide range of time and space scales. Uncertainties in representing these processes and inadequate understanding of water and energy cycle have been long standing problems for most general circulation models (GCMs). This project aims to investigate the role of cloud, radiation and precipitation processes in the improved climate simulations of global water and energy cycle. The investigator will (a) evaluate modeled dynamic and thermodynamic fields against observations in diurnal and seasonal aspects of temperature, water vapor, cloud amount, liquid and ice water, radiative fluxes, precipitation and surface evaporation, (b) examine the impacts of revised convection closure assumption, triggering mechanism, convective momentum transport and subgrid cloud distribution on the simulations of climate mean state and variability, and (c) assess the water vapor budget and the top of the atmosphere and surface energy budgets during the El Niño and La Niña events in comparison with those under the normal climate conditions.Broader impacts of this work are educational and in improving understanding of physical processes for water and energy cycle in the climate system and representations of cloud and radiation processes in GCMs, which will enhance the credibility of climate prediction and climate change projections made by GCMs and thus benefit society.

云、辐射和降水过程是全球水和能源循环的关键组成部分，在广泛的时间和空间尺度上运行，这些过程的不确定性以及对水和能源循环的理解不足一直是大多数一般循环的长期存在的问题。该项目旨在研究云、辐射和降水过程在改进全球水和能源循环气候模拟中的作用。研究人员将 (a) 根据昼夜和季节方面的观测评估模拟的动态和热力学场。温度、水蒸气、云量、液体和冰水、辐射通量、降水和地表蒸发，(b) 研究修正的对流闭合假设、触发机制、对流动量传输和次网格云分布对气候平均状态和变率模拟的影响，以及（ c) 与正常气候条件下的情况相比，评估厄尔尼诺和拉尼娜事件期间的水蒸气收支以及大气和地表能量收支上限。这项工作的更广泛影响是教育性的，并提高了对物理现象的理解。气候系统中水和能量循环过程以及GCM中云和辐射过程的表征，这将提高GCM气候预测和气候变化预测的可信度，从而造福社会。