Multi-Model Analysis of Stratospheric Chemistry-Climate Couplings

平流层化学-气候耦合的多模型分析

• 批准号: 0905863
• 负责人: Darryn Waugh
• 金额: $ 36.38万
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0905863&HistoricalAwards=false
• 关键词: Multi; Model; Analysis; Stratospheric; Chemistry

Changes in stratospheric ozone play a key role in Earth's climate system, affecting not only the penetration of ultra-violet radiation to the surface, but also tropospheric weather and climate. This project will involve a multi-model analysis of stratospheric-resolving chemistry climate models (CCMs). These CCMs will be used to examine how stratospheric ozone will evolve (recover) in the 21st century, the impact of climate change on this recovery, and the impact of stratospheric ozone recovery on tropospheric climate and weather.These activities will provide a detailed, quantitative evaluation of the capabilities and biases in the latest generation of stratospheric-resolving CCMs, new multi-model projections of the evolution of stratospheric ozone in the 21st century, including quantification of the impact of climate change, and new multi-model projections of the impact of stratospheric ozone recovery on tropospheric climate and weather during the 21st century.The project will benefit society by improving our understanding and projections of the Earth's ozone layer and climate system, relevant to upcoming international assessments of ozone and of climate change. Furthermore, a post-doctoral fellow and undergraduates will play major roles in the research and will receive advanced training in atmospheric science and data analysis techniques.

平流层臭氧的变化在地球气候系统中起着关键作用，不仅影响紫外线辐射对地表的穿透，还影响对流层的天气和气候。该项目将涉及对平流层分辨化学气候模式(CCM)的多模式分析。这些CCM将被用来研究平流层臭氧在21世纪将如何演变(恢复)，气候变化对这种恢复的影响，以及平流层臭氧恢复对对流层气候和天气的影响。这些活动将提供对最新一代平流层分辨CCM的能力和偏差的详细、定量的评估，21世纪平流层臭氧演变的新的多模式预测，包括气候变化影响的量化，该项目将增进我们对地球臭氧层和气候系统的了解和预测，这与即将进行的臭氧和气候变化的国际评估有关。此外，一名博士后研究员和本科生将在这项研究中发挥主要作用，并将接受大气科学和数据分析技术的高级培训。