Collaborative Research: Development and Applications of GEOS-Chem Atmospheric Chemistry in CESM and MUSICA

合作研究：GEOS-Chem大气化学在CESM和MUSICA中的开发和应用

• 批准号: 2228359
• 负责人: Daniel Jacob
• 金额: $ 71.83万
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-11-01 至 2025-10-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2228359&HistoricalAwards=false
• 关键词: Collaborative; Research; Development; Applications; GEOS

The objective of this project is to further the development of the GEOS-Chem atmospheric chemistry capability within the NCAR Community Earth System Model (CESM). The modularization of GEOS-Chem components will enable these components to be deployed in a variety of different models. This project is expected to contribute to a better understanding of atmospheric chemistry in the climate system and to improve air quality predictions within the context of climate change.The three objectives of this project are to: (1) implement modular GEOS-Chem components into the Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICA) model, including the: (a) photolysis frequency calculations, (b) chemical mechanism including the adaptive mechanism autoreduction, and (c) wet deposition module; (2) apply the GEOS-Chem capability within CESM to better understand ozone air quality over East Asia and its connection to background tropospheric ozone; and (3) apply the GEOS-Chem capability within CESM to better understand aviation’s effects on tropospheric ozone.This project will enable the GEOS-Chem modeling community, including hundreds of research groups worldwide and more than fifty US university groups, to engage more effectively with the CESM modeling efforts at NCAR. The project will support graduate students at both Harvard and MIT.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目的目标是在NCAR共同体地球系统模型（CESM）内进一步发展全球测地系统-化学大气化学能力。全球测地系统化学组件的模块化将使这些组件能够部署在各种不同的模型中。该项目的三个目标是：（1）在化学和气溶胶多尺度基础设施（MUSICA）模型中实施GEOS-Chem模块组件，包括：（a）光解频率计算，（B）包括自适应机制自动还原在内的化学机制，以及（c）湿沉积模块;（2）在环境无害化监测机制内应用全球对地观测系统-化学能力，以更好地了解东亚上空的臭氧空气质量及其与背景对流层臭氧的联系;以及（3）在CESM中应用GEOS-Chem能力，以更好地了解航空对对流层臭氧的影响。该项目将使GEOS-Chem建模社区，包括全球数百个研究小组和50多个美国大学团体，能够更有效地参与NCAR的CESM建模工作。该项目将支持哈佛和麻省理工学院的研究生。该奖项反映了NSF的法定使命，并被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

项目成果

An Adaptive Auto‐Reduction Solver for Speeding Up Integration of Chemical Kinetics in Atmospheric Chemistry Models: Implementation and Evaluation in the Kinetic Pre‐Processor (KPP) Version 3.0.0

用于加速大气化学模型中化学动力学积分的自适应自动还原求解器：在动力学预处理器 (KPP) 版本 3.0.0 中的实施和评估

• DOI: 10.1029/2022ms003293
• 发表时间: 2023
• 期刊: Journal of Advances in Modeling Earth Systems
• 影响因子: 6.8
• 作者: Lin, Haipeng;Long, Michael S.;Sander, Rolf;Sandu, Adrian;Yantosca, Robert M.;Estrada, Lucas A.;Shen, Lu;Jacob, Daniel J.
• 通讯作者: Jacob, Daniel J.