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模型空间分辨率对全球地球物理卫星反演的细颗粒物的影响。

Impact of Model Spatial Resolution on Global Geophysical Satellite-Derived Fine Particulate Matter.

作者信息

Zhang Dandan, Martin Randall V, van Donkelaar Aaron, Li Chi, Zhu Haihui, Lyapustin Alexei

机构信息

Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.

Climate and Radiation Laboratory, the National Aeronautics and Space Administration Goddard Space Flight Center, Greenbelt, Maryland 20771, United States.

出版信息

ACS EST Air. 2024 Jul 29;1(9):1112-1123. doi: 10.1021/acsestair.4c00084. eCollection 2024 Sep 13.

Abstract

Global geophysical satellite-derived ambient fine particulate matter (PM) inference relies upon a geophysical relationship (η) from a chemical transport model to relate satellite retrievals of aerosol optical depth (AOD) to surface PM. The resolution dependence of simulated η warrants further investigation. In this study, we calculate geophysical PM with simulated η from the GEOS-Chem model in its high-performance configuration (GCHP) at cubed-sphere resolutions of C360 (∼25 km) and C48 (∼200 km) and satellite AOD at 0.01° (∼1 km). Annual geophysical PM concentrations inferred from satellite AOD and GCHP simulations at ∼25 km and ∼200 km resolutions exhibit remarkable similarity ( = 0.96, slope = 1.03). This similarity in part reflects opposite resolution responses across components with population-weighted normalized mean difference (PW-NMD) increasing by 5% to 11% for primary species while decreasing by -30% to -5% for secondary species at finer resolution. Despite global similarity, our results also identify larger resolution sensitivities of η over isolated pollution sources and mountainous regions, where spatial contrast of aerosol concentration and composition is better represented at fine resolution. Our results highlight the resolution dependence of representing near-surface concentrations and the vertical distribution of chemically different species with implications for inferring ground-level PM from columnar AOD.

摘要

全球地球物理卫星反演的环境细颗粒物(PM)推断依赖于化学传输模型中的地球物理关系(η),以将卫星反演的气溶胶光学厚度(AOD)与地表PM联系起来。模拟η的分辨率依赖性值得进一步研究。在本研究中,我们使用高性能配置(GCHP)下的GEOS-Chem模型在立方球分辨率C360(约25公里)和C48(约200公里)下模拟的η以及0.01°(约1公里)分辨率的卫星AOD来计算地球物理PM。在约25公里和约200公里分辨率下,由卫星AOD和GCHP模拟推断出的年度地球物理PM浓度表现出显著的相似性( = 0.96,斜率 = 1.03)。这种相似性部分反映了各组分相反的分辨率响应,在更高分辨率下,一次物种的人口加权归一化平均差异(PW-NMD)增加5%至11%,而二次物种则下降-30%至-5%。尽管存在全球相似性,但我们的结果也表明,在孤立污染源和山区,η对分辨率更为敏感,在高分辨率下,气溶胶浓度和成分的空间对比度能得到更好的体现。我们的结果突出了表示近地表浓度和化学性质不同物种垂直分布时对分辨率的依赖性,这对从柱状AOD推断地面PM具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b448/11407304/93754e5a8fbb/ea4c00084_0001.jpg

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