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（Thompson）9703995该奖项支持24个月的日本科学促进学会（JSPS）在日本萨波罗大学北海道大学环境地球科学研究生学院的克里斯托弗·J·汤普森（Christopher J. Thompson）博士的博士后奖学金。 汤普森（Thompson）博士将与海洋和大气科学系副教授Shang-Ping Xie博士合作。 这项拟议的研究强调了赤道太平洋中间模型的构建和分析，该模型将同时再现称为El Nino/Southern振荡（ENSO）的大气模式的年度周期和年际周期。 ENSO是一个不规则的，三到七年的海面温度（SST）周期，其中最著名的方面是南美海岸的周期性和异常变暖，这种模式在科学界称为El Nino。 ENSO还充当了其他重要的季节性天气模式的预测因素，一个具体的例子是亚洲季风，该季风继续导致南亚和东亚的洪水或干旱。 通过先前的研究实现了ENSO的可预测性最低，但是这项研究仅限于重现ENSO周期或年度周期的模型的开发。 没有现有模型成功地复制了这两种模式或预测其综合效果。 因此，拟议的研究的目的是开发这种复杂的模型，并将最佳初始条件分析应用于该模型，以识别可能导致大气中大量短暂增长的结构。 ***