Japan JSPS Program: Optimal Initial Conditions for Growth in an Intermediate Ocean-Atmosphere Model of the Pacific Which Generates Both the Annual Cycle and ENSO

日本 JSPS 计划：产生年循环和 ENSO 的太平洋中间海洋大气模型增长的最佳初始条件

• 批准号: 9703995
• 负责人: Christopher Thompson
• 金额: $ 0.3万
• 依托单位: Fellowships
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-06-15 至 1999-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9703995&HistoricalAwards=false
• 关键词: Japan; JSPS; Program; Optimal; Initial

Thompson 9703995 This award supports a 24 month Japan Society for the Promotion of Science (JSPS) Postdoctoral Fellowship for Dr. Christopher J. Thompson at the Graduate School of Environmental Earth Science, Hokkaido University, Sapporo, Japan. Dr. Thompson will work with Dr. Shang-Ping Xie, Associate Professor in the Division of Oceanic and Atmospheric Sciences, on a research project entitled, "Optimal Initial Conditions for Growth in an Intermediate Ocean-Atmosphere Model of the Pacific that Generates the Annual Cycle and ENSO." This proposed research emphasizes the construction and analysis of an intermediate- sized model of the Equatorial Pacific that will reproduce both the annual cycle and the inter-annual cycle of the atmospheric pattern known as El Nino/Southern Oscillation (ENSO). ENSO is an irregular, three to seven year sea surface temperature (SST) cycle, the most well known aspect of which is the periodic and anomalous warming of the South America coast, a pattern referred to in the scientific community as El Nino. ENSO also acts as a predictor for other important seasonal weather patterns, one specific example being the Asian Monsoon, which continues to cause either floods or droughts in South and East Asia. A minimal degree of predictability for ENSO has been achieved through previous research, but this research has been confined to the development of models that reproduce either the ENSO cycle or the annual cycle. No existing model has successfully reproduced both patterns or predicted their combined effects. As such, the purpose of the proposed research is to develop this complex model and apply optimal initial condition analysis to that model in order to identify those structures which may lead to large transient growth in the atmosphere. ***

汤普森9703995 该奖项支持日本科学促进协会（JSPS）为日本札幌北海道大学环境地球科学研究生院的Christopher J. Thompson博士提供为期24个月的博士后奖学金。 Thompson博士将与海洋和大气科学系副教授谢尚平博士合作开展一个研究项目，题为“产生年周期和厄尔尼诺/南方涛动的太平洋中间海洋-大气模型中增长的最佳初始条件”。" 这项拟议的研究强调建立和分析一个中等规模的赤道太平洋模型，该模型将再现被称为厄尔尼诺/南方涛动的大气模式的年周期和年际周期。 厄尔尼诺/南方涛动是一个不规则的，三至七年的海表温度（SST）周期，其中最著名的方面是南美洲海岸的周期性和异常变暖，科学界将这种模式称为厄尔尼诺。 厄尔尼诺/南方涛动现象也是其他重要的季节性天气模式的预测因子，一个具体的例子是亚洲季风，它继续在南亚和东亚造成洪水或干旱。 通过以前的研究，对厄尔尼诺/南方涛动的可预测性已达到最低程度，但这项研究仅限于发展再现厄尔尼诺/南方涛动周期或年周期的模型。 没有任何现有的模型成功地复制了这两种模式或预测了它们的综合影响。 因此，拟议的研究的目的是开发这个复杂的模型，并应用最佳初始条件分析，该模型，以确定这些结构，可能会导致大的瞬态增长在大气中。 ***