Application of Optimal Interpolation to Spatially and Temporally Sparse Observations of Aerosol Optical Depth

Application of Optimal Interpolation to Spatially and Temporally Sparse Observations of Aerosol Optical Depth

Aerosol optical depth (AOD) is one of the basic characteristics of atmospheric aerosol. A global ground-based network of sun and sky photometers, the Aerosol Robotic Network (AERONET) provides AOD data with low uncertainty. However, AERONET observations are sparse in space and time. To improve data...

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Bibliographic Details
Main Authors: Natallia Miatselskaya, Gennadi Milinevsky, Andrey Bril, Anatoly Chaikovsky, Alexander Miskevich, Yuliia Yukhymchuk
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Atmosphere
Subjects:
data assimilation
optimal interpolation
aerosol optical depth
AERONET
chemical transport model GEOS-Chem
Online Access:https://www.mdpi.com/2073-4433/14/1/32

Internet

https://www.mdpi.com/2073-4433/14/1/32

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