Constraining the Mechanistic Effects of Spatial Resolution on Global Air Quality Modeling

限制空间分辨率对全球空气质量建模的机械影响

• 批准号: 2244984
• 负责人: Randall Martin
• 金额: $ 49.97万
• 依托单位: Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-03-15 至 2026-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2244984&HistoricalAwards=false
• 关键词: Constraining; Mechanistic; Effects; Spatial; Resolution

The investigators in this project will perform a series of chemical transport model simulations in order to study the errors that arise in model simulations due to coarse horizontal resolution. Many modern chemical transport models, which are used to study atmospheric chemistry in our atmosphere, are computationally expensive, and as such many research groups continue to rely on relatively coarse resolution simulations. However, recent advancements have enabled higher spatial resolution simulations, and the investigators in this project will study biases and differences in model simulations that arise from different spatial resolutions. The knowledge gained in this project will enhance our ability to simulate and study smaller-scale atmospheric chemistry phenomena, is likely to increase confidence in and usage of high-resolution models in the future, and would enable more atmospheric chemistry research relevant to communities at the local and regional scale. In this proposed work, the investigators will utilize a high-performance implementation of GEOS-Chem (GCHP) that has recently developed distributed-memory parallelization that enables just this type of scale-varying research. There are three primary research goals in this proposed work: (1) to quantify and interpret the mechanistic resolution-dependence of non-linear chemistry with a focus on nitrogen oxide, ozone, and nitric acid; (2) to quantify and interpret the mechanistic resolution-dependence of emission segregation with a focus on nitrate aerosols; and (3) to quantify and interpret the errors in simulated air quality trends due to inadequate or too-coarse spatial resolution. Success in this work is therefore likely to have a positive impact on the GEOS-Chem, atmospheric chemistry, and climate-chemistry communities, as well as policy makers that could use these simulation results to make decisions regarding air quality within their own communities.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.

该项目中的研究人员将执行一系列化学传输模型模拟，以研究由于水平分辨率粗糙而导致的模型模拟中出现的误差。许多现代化学运输模型用于研究我们大气中的大气化学，在计算上很昂贵，因此许多研究小组继续依赖相对粗糙的分辨率模拟。但是，最近的进步已经实现了更高的空间分辨率模拟，该项目的研究人员将研究由不同空间分辨率引起的模型模拟的偏见和差异。该项目中获得的知识将增强我们模拟和研究较小的大气化学现象的能力，将来可能会增加对高分辨率模型的信心和使用，并在本地和区域规模上促进与社区相关的更多大气化学研究。在这项拟议的工作中，研究人员将利用Geos-Chem（GCHP）的高性能实施，该实施最近开发了分布式 - 记忆并行化，这只能使这种类型的量表变体研究。这项拟议的工作中有三个主要的研究目标：（1）量化和解释非线性化学的机械分辨率依赖性，重点是氮氧化物，臭氧和硝酸； （2）量化和解释发射分离的机械分辨率依赖性，重点是硝酸盐气溶胶； （3）由于空间分辨率不足或太差异而导致模拟空气质量趋势中的错误。因此，这项工作的成功可能会对地理位置化，大气化学和气候化学社区以及可以使用这些模拟结果来对自己社区内的空气质量做出决定的决策者产生积极影响。该奖项反映了NSF的法规使命，并被认为是通过基金会的知识优点和广泛的评估来进行评估，这是值得通过评估来进行评估的。

项目成果

Advances in Simulating the Global Spatial Heterogeneity of Air Quality and Source Sector Contributions: Insights into the Global South

• DOI: 10.1021/acs.est.2c07253
• 发表时间: 2023-04
• 期刊: Environmental Science & Technology
• 影响因子: 11.4
• 作者: Dandan Zhang;R. Martin;Liam Bindle;Chi Li;S. Eastham;A. van Donkelaar;L. Gallardo