Large Scale Dynamics and Statistics of California Extreme Weather in the Atmosphere and in Global Models

大气和全球模型中加州极端天气的大尺度动力学和统计

• 批准号: 1236681
• 负责人: Richard Grotjahn
• 金额: $ 60.38万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-10-01 至 2017-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1236681&HistoricalAwards=false
• 关键词: Large; Scale; Dynamics; Statistics; California

This project will focus on two types of extreme weather events that affect the California Central Valley, viz extreme hot spells, and cold air outbreaks. Both these extreme weather events is associated with very prominent and highly significant patterns of weather variables in the atmosphere. This project will undertake diagnostic analysis of extreme weather events. The diagnostic tools will also be applied to simulations of historical climate by several climate models to assess how well those models simulate large-scale meteorological patterns and evaluate how well each model captures the dynamics needed to create the large-scale meteorological patterns. Simulations of future climate will be analyzed and recalibrated, based on the performance of each model in simulating historical climate, so as to estimate how the properties of each extreme weather event might change in the future Extreme weather events are of great interest to the agricultural community, to public utilities and their associated regulatory agencies, and to the public in general. Results from this work will be communicated to farmers through the agricultural extension service and various agricultural periodicals. Results will also be shared with the California Energy Commission and with the EnvironMentors chapter, a national program to involve and excite underrepresented youth in environmental studies. Thus the broader impacts of this project are substantial.

该项目将重点关注影响加州中央山谷的两种极端天气事件，即极端高温时段和冷空气爆发。这两个极端天气事件都与大气中非常显著和非常显著的天气变量模式有关。该项目将对极端天气事件进行诊断分析。这些诊断工具还将被应用于几个气候模型对历史气候的模拟，以评估这些模型模拟大规模气象模式的能力，并评估每个模型捕捉创建大规模气象模式所需的动态的能力。对未来气候的模拟将根据每个模型在模拟历史气候方面的表现进行分析和重新校准，以估计每个极端天气事件的性质在未来极端天气事件中可能发生的变化，这是农业社区、公用事业及其相关监管机构和公众非常感兴趣的。这项工作的成果将通过农业推广服务和各种农业期刊传达给农民。结果还将与加州能源委员会和环境管理员分会分享，这是一个全国性的计划，旨在让代表不足的年轻人参与环境研究并激发他们的热情。因此，这一项目的广泛影响是巨大的。