Preprints
https://doi.org/10.5194/egusphere-2025-4146
https://doi.org/10.5194/egusphere-2025-4146
01 Oct 2025
 | 01 Oct 2025
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

Performance comparison between CERES-MODIS and OMI in retrieving SSA across diverse aerosol regimes

Archana Devi, Sreedharan K Satheesh, and Jayaraman Srinivasan

Abstract. A comparative evaluation of aerosol single scattering albedo (SSA) retrieved from CERES-MODIS and OMI satellite instruments is presented across diverse aerosol environments. The analysis focuses on seven key regions: biomass burning areas (Amazon and South African Congo forests), clean and polluted oceanic zones (South Pacific, Arabian Sea, and Bay of Bengal), clean and polluted land areas (North America, Europe, Indo-Gangetic Plain, and Eastern China), and the Sahara Desert. Monthly aerosol type concentrations from MERRA-2 reanalysis data are used to investigate the seasonal variation in aerosol loading and composition. Results show that CERES-MODIS consistently captures SSA variability more effectively than OMI, particularly in regions dominated by absorbing aerosols such as black carbon. In biomass burning regions, CERES-MODIS displays a strong negative correlation between fire count and SSA, unlike OMI, which shows weaker or negligible correlations. Over clean regions, both instruments perform comparably, while over polluted zones and deserts, CERES-MODIS demonstrates greater sensitivity to aerosol type and seasonal trends. The findings highlight the relative strengths and limitations of both algorithms in aerosol monitoring under diverse atmospheric conditions.

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Archana Devi, Sreedharan K Satheesh, and Jayaraman Srinivasan

Status: open (until 06 Nov 2025)

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Archana Devi, Sreedharan K Satheesh, and Jayaraman Srinivasan
Archana Devi, Sreedharan K Satheesh, and Jayaraman Srinivasan

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Short summary
This study compares aerosol single scattering albedo data from two algorithms, CERES-MODIS and OMI, across different regions like forests, oceans, land, and deserts. It finds that CERES-MODIS tracks aerosol absorption more accurately, especially in areas with smoke and pollution. In clean regions, both algorithms perform similarly. The study helps scientists understand which satellite gives better data in different conditions, supporting improved climate and air quality research.
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