US-India Cooperative Research: Diagnosis of India's Weather Prediction Model's Forecast and Simulation Deficiencies

美印合作研究：印度天气预报模型预报与模拟缺陷诊断

• 批准号: 0212616
• 负责人: Sumant Nigam
• 金额: --
• 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: 2002
• 资助国家: 美国
• 起止时间: 2002-05-01 至 2008-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0212616&HistoricalAwards=false
• 关键词: US; India; Cooperative; Research; Diagnosis

0212616Nigam Description: This award supports a US-India cooperative research project entitled Diagnosis of India's Weather Prediction Model's Forecast and Simulation Deficiencies.US PI Sumant Nigam, University of Maryland will collaborate with Indian meteorologists, Shyam Singh, Sarat Kar, and Gopal Iyengar of the National Centre for Medium Range Weather Forecasting (NCMRWF), in New Delhi. They will test the physics of India's numerical weather prediction model by producing multi-year simulations of the past climate, using observed lower-boundary conditions. Analysis of the ensemble-mean climate simulation, particularly comparison with the corresponding period observations, will allow one to determine the deficiencies of the model's physics. Improvement in the model's physics will have a beneficial impact on climate simulation and on short-to-medium range weather forecasts developed by the NCMRWF. Scope: The research goal is to diagnose the reasons for deficient weather forecasts produced at the NCMRWF by India's only operational numerical weather prediction model. Consequently, successful completion of the research will lead to improved weather forecasts in India and better understanding of the observed modes of recurrent seasonal-to-interannual variability, particularly during the Indian summer monsoon. There is immense research interest in this topic among monsoon meteorologists worldwide. Beyond the immediate objective of facilitating NCMRWF's participation in the international Atmospheric Model Intercomparison Project (AMIP), this research will help benchmark the model's performance, foster additional analysis of the NCMRWF model integration's, and accelerate model development by drawing on the experience of the international meteorological community. This award is jointly supported by the Division of International Programs and the Division of Atmospheric Sciences.

0212616NIGAM描述：该奖项支持一个美国印度合作研究项目，题为“诊断印度天气预报模型的预测和模拟不足”。USPI SUMANT NIGAM，马里兰大学将与印度气象学家合作，Shyam Singh，Sarat Kar，Sarat Kar和Gopal Iyengar of Shyam Singh，Sarat Kar和Gopal Iyegar新德里的国家中型天气预报（NCMRWF）国家中心。 他们将使用观察到的低接壤条件来通过产生过去气候的多年模拟来测试印度数值天气预测模型的物理。 分析集合均值气候模拟，尤其是与相应的时期观测值的比较，将使人们确定模型物理学的缺陷。该模型物理学的改善将对气候模拟以及NCMRWF开发的中等范围的天气预报产生有益的影响。 范围：研究目标是诊断印度唯一的运营数值天气预测模型在NCMRWF上产生的不足天气预测的原因。 因此，这项研究的成功完成将导致印度的天气预报改善，并更好地了解观察到的经常性季节到年龄差异的方式，尤其是在印度夏季季风期间。 在全球季风气象学家中，这一主题具有巨大的研究兴趣。 除了促进NCMRWF参与国际大气模型对比项目（AMIP）的直接目标之外，这项研究还将有助于基于模型的性能，促进对NCMRWF模型集成的进一步分析，并通过利用国际气象学的经验来加速模型开发社区。 该奖项由国际计划和大气科学司共同支持。