Impact of Model Spatial Resolution on Global Geophysical Satellite-Derived Fine Particulate Matter.
Dandan Zhang, Randall V Martin, Aaron van Donkelaar, Chi Li, Haihui Zhu, Alexei Lyapustin
Author Information
Dandan Zhang: Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States. ORCID
Randall V Martin: Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
Aaron van Donkelaar: Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States. ORCID
Chi Li: Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States. ORCID
Haihui Zhu: Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
Alexei Lyapustin: Climate and Radiation Laboratory, the National Aeronautics and Space Administration Goddard Space Flight Center, Greenbelt, Maryland 20771, United States.
Global geophysical satellite-derived ambient fine particulate matter (PM) inference relies upon a geophysical relationship (��) from a chemical transport model to relate satellite retrievals of aerosol optical depth (AOD) to surface PM. The resolution dependence of simulated �� warrants further investigation. In this study, we calculate geophysical PM with simulated �� 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 �� 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.
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