Quantitative Evaluation of Dust and Black Carbon Column Concentration in the MERRA-2 Reanalysis Dataset Using Satellite-Based Component Retrievals

نویسندگان

چکیده

The aerosol optical property products of Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2) reanalysis dataset have been extensively investigated on a global or regional scale. However, the understanding MERRA-2 component an extensive temporal spatial scale is inadequate. Recently, derived from observations Polarization Directionality Earth’s Reflectances/Polarization Anisotropy Reflectance Atmospheric Science coupled with Lidar (POLDER/PARASOL). This study presents quantitative evaluation dust black carbon (BC) column concentration using independent satellite-based retrievals. Both GRASP/Component can capture well variation in over emission resource downwind dust-dominated regions correlation coefficient (R) varying 0.80 to 0.98. present higher than retrievals relative differences about 20~70%, except Taklamakan Desert Bay Bengal, where be negative. African are larger that Asian regions. Similar variations BC characterized by both R 0.70~0.90, North China Plain region. We should pay more caution applicability when large high coefficients obtained simultaneously. results favorable identifying behavior estimation new view demonstrate practical application retrievals, which could make contributions improvement model near future.

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ژورنال

عنوان ژورنال: Remote Sensing

سال: 2023

ISSN: ['2072-4292']

DOI: https://doi.org/10.3390/rs15020388