Assessing and Understanding Extratropical Control on Tropical Climate

评估和理解温带对热带气候的控制

• 批准号: 1656907
• 负责人: Zhengyu Liu
• 金额: $ 49.98万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-02-15 至 2024-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1656907&HistoricalAwards=false
• 关键词: Assessing; Understanding; Extratropical; Control; Tropical

It has long been recognized that tropical climate and variability can be affected by climate processes in the extratropics. Previous studies on the extratropical impact on the tropics have remained largely qualitative in nature and from the fully coupled ocean-atmosphere perspective. As such, the impact of extratropical climate on tropical climate has remained largely unexplored. The goal of this project is to investigate the extratropical impact on tropical climate with the focus on quantifying extratropical influences of tropical climate and its variability. The project will use a novel modeling approach called Regional Coupled Data Assimilation (RCDA) approach, which combines coupled data assimilation with coupled climate dynamics, to assess and understand the extratropical climate impact on tropical climate for the real world. In RCDA, observations in the extratropics are assimilated in climate models while the tropical ocean-atmosphere processes remain fully coupled. This allows the quantitative assessment and understanding of the extratropical impacts on both tropical climatology and tropical climate variability, such as ENSO. The research team will also explore the extratropical impact on the tropical bias in coupled general circulation models. The funded research represents a systematic study of the extratropical impact on tropical climate and tropical climate variability that combines coupled data assimilation with coupled climate dynamics. This work will develop a new modeling strategy to assess and understand the impact of extratropical climate variability on tropical climatology and climate variability. This understanding will help further improve climate models for climate predictions, future climate projections, and, in turn, their societal impacts. This project will train two graduate students.

人们早就认识到热带气候和变率可能受到温带气候过程的影响。以前关于温带对热带影响的研究在本质上仍然是定性的，并且是从海洋-大气完全耦合的角度来看的。因此，温带气候对热带气候的影响在很大程度上仍未得到探索。该项目的目标是调查温带对热带气候的影响，重点是量化热带气候的温带影响及其变化。该项目将使用一种称为区域耦合数据同化（RCDA）方法的新颖建模方法，该方法将耦合数据同化与耦合气候动力学相结合，以评估和了解温带气候对现实世界热带气候的影响。在 RCDA 中，温带地区的观测结果被纳入气候模型中，而热带海洋-大气过程仍然完全耦合。这样可以定量评估和了解热带气候和热带气候变率（例如 ENSO）的温带影响。研究小组还将探讨耦合大气环流模型中温带对热带偏向的影响。这项资助的研究代表了对热带气候和热带气候变率的温带影响的系统研究，该研究将耦合数据同化与耦合气候动力学相结合。这项工作将开发一种新的建模策略，以评估和了解温带气候变率对热带气候学和气候变率的影响。这种理解将有助于进一步改进气候预测、未来气候预测及其社会影响的气候模型。该项目将培养两名研究生。