POSTER Session 3

GLOBAL GRIDDED AEROSOL MODELS ESTABLISHED FOR ATMOSPHERIC CORRECTION OVER INLAND AND NEARSHORE COASTAL WATERS

The use of standard aerosol models for atmospheric correction over inland and nearshore coastal waters generates large uncertainties due to their inability to appropriately characterize aerosols in those regions. To address this problem, we developed new aerosol models using data acquired from 1,475 Aerosol Robotic Network (AERONET) sites distributed in inland and coastal regions throughout the globe. We established spatially gridded (5° × 5°) aerosol models on a climatological monthly scale, with a total of 3,207 new aerosol models developed for 310 grid cells worldwide. The monthly aerosol model for each grid was derived using mean monthly values of microphysical aerosol properties from AERONET data. The optical properties (i.e., single scattering albedo and Ångström coefficient) of our global gridded aerosol models demonstrated considerable spatial and seasonal dynamics and deviated substantially from the aerosol models currently utilized by NASA. We built associated lookup tables for all aerosol models and incorporated them into atmospheric correction algorithms. We compiled global in situ Rrs data to compare the performance of the new gridded aerosol models with NASA’s standard aerosol models in atmospheric correction across three satellite missions: MODISA, VIIRS, and Landsat 8 OLI. Our findings indicate that the new aerosol model consistently outperforms the standard aerosol model across nearly all spectral bands of the three satellite missions. Importantly, it notably mitigates the over-corrections typically observed with the standard models. These results underscore the effectiveness and applicability of globally gridded aerosol models for atmospheric correction over inland and coastal waters across different satellite missions.

Lian Feng, Southern University of Science and Technology, China, [email protected]

Dan Zhao, Southern University of Science and Technology, China, [email protected]

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