Global Gridded Aerosol Models Established for Atmospheric Correction Over Inland and Nearshore Coastal Waters

Zhao，Dan1; Feng，Lian1; He，Xianqiang2

2023-08-27

10.1029/2023JD038815

Journal of Geophysical Research: Atmospheres   影响因子和分区

2169-897X

2169-8996

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 the National Aeronautics and Space Administration (NASA). We built associated lookup tables for all aerosol models and incorporated them into two atmospheric correction algorithms: the combined near-infrared and shortwave infrared algorithm (NIR-SWIR) and the Atmospheric Correction algorithm for inLand and Nearshore Coastal waters (ACLANC). For both algorithms, the accuracies of atmospherically corrected satellite remote sensing reflectance (R) improved markedly when the new aerosol models were used, and improvements were noted across all spectral bands and across all six inland and nearshore water bodies used in this study. Our new aerosol models can be easily applied to all ocean color satellite missions to obtain accurate R products for inland and coastal waters worldwide.

aerosol model atmospheric correction inland and coastal waters LUT MODIS ocean color remote sensing

SCI

英语

NI论文

第一 ; 通讯

National Natural Science Foundation of China[41971304];National Natural Science Foundation of China[42271322];

Meteorology & Atmospheric Sciences

Meteorology & Atmospheric Sciences

WOS:001057471100001

AMER GEOPHYSICAL UNION

GEOSCIENCES

2-s2.0-85167884411

Scopus

1.School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,China
2.State Key Laboratory of Satellite Ocean Environment Dynamics,Second Institute of Oceanography,Ministry of Natural Resources,Hangzhou,China

Zhao，Dan,Feng，Lian,He，Xianqiang. Global Gridded Aerosol Models Established for Atmospheric Correction Over Inland and Nearshore Coastal Waters[J]. Journal of Geophysical Research: Atmospheres,2023,128(16).

Zhao，Dan,Feng，Lian,&He，Xianqiang.(2023).Global Gridded Aerosol Models Established for Atmospheric Correction Over Inland and Nearshore Coastal Waters.Journal of Geophysical Research: Atmospheres,128(16).

Zhao，Dan,et al."Global Gridded Aerosol Models Established for Atmospheric Correction Over Inland and Nearshore Coastal Waters".Journal of Geophysical Research: Atmospheres 128.16(2023).