Convection Parameterization and Climate Simulation in the National Center for Atmospheric Research (NCAR) Community Climate System Model

国家大气研究中心 (NCAR) 社区气候系统模型中的对流参数化和气候模拟

• 批准号: 0204798
• 负责人: Guang Zhang
• 金额: $ 46.44万
• 依托单位: University of California-San Diego Scripps Inst of Oceanography
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-05-01 至 2006-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0204798&HistoricalAwards=false
• 关键词: Convection; Parameterization; Climate; Simulation; National

Two deficiencies in the NCAR Community Climate System Model (CCSM) are believed to be related to the parameterization of convection in the model. The model is thus biased toward weak intraseasonal variability in the tropical atmosphere and excessive precipitation in the Arabian Peninsula, compared to observations. Because of the wide use of the CCSM, it is important to conduct research to address them. The goal of this research project is to address these issues by focusing on convective parameterization in the model. Specifically, the investigation aims to achieve the following fundamental scientific objectives: (i) Understand how convection interacts with the large-scale processes in different climate regimes; (ii) Incorporate observational data to improve convective parameterization in CCSM; (iii) Improve the simulated temporal variability of convection and the atmospheric state in CCSM; (iv) Determine the cause of the erroneous precipitation simulation over the Arabian Peninsula in CCSM and eliminate it.The basic research tools used in this work are the NCAR CCM3, which is the atmospheric component of CCSM, and the Zhang-McFarlane convection scheme, together with field observational data from different convection regimes in the tropics and midlatitudes. Simulations with improved convective parameterization will be analyzed using statistical and composite techniques to examine the improvement in the tropical intraseasonal variability. Systematic initial tendency error analysis will be applied to simulations from a series of carefully designed numerical experiments to understand the causes of large summer precipitation bias in the Arabian Peninsula in CCM3. The research should result in an improved convective parameterization, a better understanding of the role of convection and a better simulation in tropical climate and its variability in the NCAR CCM3. This research is important because it has potential to improve climate predictions and projections, which are of great value to world societies.

NCAR 社区气候系统模型 (CCSM) 的两个缺陷被认为与模型中对流参数化有关。因此，与观测结果相比，该模型偏向热带大气的弱季节内变化和阿拉伯半岛的过量降水。由于 CCSM 的广泛使用，开展研究来解决这些问题非常重要。该研究项目的目标是通过关注模型中的对流参数化来解决这些问题。具体而言，该调查旨在实现以下基本科学目标：（i）了解对流如何与不同气候状况下的大尺度过程相互作用； (ii) 纳入观测数据以改进 CCSM 中的对流参数化； (iii) 改进 CCSM 中对流和大气状态的模拟时间变化； (iv) 确定CCSM中阿拉伯半岛降水模拟错误的原因并消除它。本工作使用的基础研究工具是NCAR CCM3（CCSM的大气组成部分）和Zhang-McFarlane对流方案，以及热带和中纬度地区不同对流状况的现场观测数据。将使用统计和综合技术对改进的对流参数化模拟进行分析，以检查热带季节内变化的改善情况。系统的初始趋势误差分析将应用于一系列精心设计的数值实验的模拟中，以了解CCM3中阿拉伯半岛夏季降水大偏差的原因。该研究应改进对流参数化，更好地理解对流的作用，并更好地模拟热带气候及其在 NCAR CCM3 中的变化。这项研究很重要，因为它有潜力改善气候预测和预测，这对世界社会具有巨大价值。