Dynamical Diagnosis of NCAR CCM3 & CMS Interannual Variability

NCAR CCM3 的动态诊断

• 批准号: 9906460
• 负责人: Sumant Nigam
• 金额: $ 2.5万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-05-15 至 2000-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9906460&HistoricalAwards=false
• 关键词: Dynamical; Diagnosis; NCAR; CCM3; &amp

The proposed exploratory research will undertake a comprehensive diagnosis of the NCAR atmospheric (CCM3) and climate system model (CSM). The objective of the proposed dynamical diagnosis is to enhance the representation of the observed modes of recurrent seasonal-to-interannual variability in the CSM runs so that climate-impact assessments for increased greenhouse gases and seasonal-to-interannual predictions obtained from this model are more credible. The research tasks include (a) residual diagnosis of diabatic heating from high-resolution ECMWF and NCEP reanalyses to generate validating targets, (b) rotated principal component analysis of combined variability of circulation anomalies and their potential forcing, e.g. ocean surface and subsurface temperature, surface winds, diabatic heating and upper-level winds in the coupled model, and (c) diagnostic modeling of observed and simulated variability using a high-resolution linear primitive equation model. The work is important because it should provide a strong diagnostics underpinning to the NCAR CSM project from a university based group engaged in dynamical diagnosis of observed climate variability for the past several years.

拟议的探索性研究将对NCAR大气（CCM3）和气候系统模型（CSM）进行全面诊断。提出的动态诊断的目的是增强CSM运行中观察到的复发季节到年龄变化的模式的表示，以便从该模型获得的温室气体和季节到年度预测的气候影响评估是更可信。研究任务包括（a）从高分辨率ECMWF和NCEP重新分析中对绝热加热的残留诊断，以产生验证靶标，（b）旋转的主成分分析循环异常及其潜在强迫的综合变异性，例如耦合模型中的海面和地下温度，表面风，绝热加热和上层风，以及（c）使用高分辨率线性原始方程模型对观察到的可变性和模拟可变性的诊断模型。这项工作很重要，因为它应该为NCAR CSM项目提供强大的诊断，该项目是由大学组对过去几年观察到的气候变异性进行动态诊断的动态诊断的。