Aerosol single-scattering albedo derived by merging OMI/POLDER satellite products and AERONET ground observations
Yueming Dong,Jing Li,Zhenyu Zhang,Chongzhao Zhang,and Qiurui Li
Yueming Dong
Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, 100871, Beijing, China
Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, 100871, Beijing, China
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, 210044, Nanjing, China
Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, 100871, Beijing, China
Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, 100871, Beijing, China
Qiurui Li
Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, 100871, Beijing, China
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Total article views: 3,711 (including HTML, PDF, and XML)
Thereof 3,547 with geography defined
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Total article views: 2,588 (including HTML, PDF, and XML)
Thereof 2,432 with geography defined
and 156 with unknown origin.
Total article views: 1,123 (including HTML, PDF, and XML)
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This study develops two merged global land aerosol single-scattering albedo (SSA) datasets by combining AERONET ground observations and two satellite datasets using an ensemble Kalman filter data synergy method. The merged datasets exhibit significantly improved accuracy compared to the original satellite data. These results can provide more reliable estimates of aerosol scattering and absorption properties, essential for improving climate modeling and assessing aerosol climate effects.
This study develops two merged global land aerosol single-scattering albedo (SSA) datasets by...