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.

该项目的研究人员将进行一系列化学输运模型模拟，以研究由于水平分辨率较低而导致的模型模拟误差。许多用于研究大气化学的现代化学传输模型在计算上是昂贵的，因此许多研究小组继续依赖于相对粗糙的分辨率模拟。然而，最近的进步使更高的空间分辨率模拟成为可能，本项目的研究人员将研究不同空间分辨率引起的模型模拟的偏差和差异。在这个项目中获得的知识将提高我们模拟和研究小规模大气化学现象的能力，可能会增加未来对高分辨率模型的信心和使用，并将使更多的大气化学研究与当地和区域规模的社区有关。在这项拟议的工作中，研究人员将利用GEOS-Chem（GCHP）的高性能实现，该实现最近开发了分布式内存并行化，可以进行这种规模变化的研究。本研究主要有三个目标：（1）以氮氧化物、臭氧和硝酸为研究对象，对非线性化学的分辨率依赖机制进行量化和解释;（2）以硝酸盐气溶胶为研究对象，对排放分离的分辨率依赖机制进行量化和解释;以及（3）量化和解释由于空间分辨率不足或过于粗糙而导致的模拟空气质量趋势中的误差。因此，这项工作的成功可能会对GEOS-Chem、大气化学和气候化学界产生积极的影响，也可能会对政策制定者产生积极的影响，因为他们可以利用这些模拟结果来做出有关其所在社区空气质量的决策。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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