Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US - Part 1: An overview

Huang, Min; Crawford, James H.; DiGangi, Joshua P.; Carmichael, Gregory R.; Bowman, Kevin W.; Kumar, Sujay V.; Zhan, Xiwu

doi:10.5194/acp-21-11013-2021

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Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US - Part 1: An overview

2021
By Huang, Min ; Crawford, James H. ; DiGangi, Joshua P. ; ...
Source: Atmos. Chem. Phys., 21, 11013–11040

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Journal Title:

Atmospheric Chemistry and Physics
Personal Author:

Huang, Min ; Crawford, James H. ; DiGangi, Joshua P. ; Carmichael, Gregory R. ; Bowman, Kevin W. ; ... More +

Huang, Min ; Crawford, James H. ; DiGangi, Joshua P. ; Carmichael, Gregory R. ; Bowman, Kevin W. ; Kumar, Sujay V. ; Zhan, Xiwu Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research)

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) Less -
Description:

This study demonstrates that ozone dry-deposition modeling can be improved by revising the model's dry-deposition parameterizations to better represent the effects of environmental conditions including the soil moisture fields. Applying satellite soil moisture data assimilation is shown to also have added value. Such advancements in coupled modeling and data assimilation can benefit the assessments of ozone impacts on human and vegetation health.
Keywords:

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Artificial Satellites In Earth Sciences Atmospheric Ozone Data Curation Mathematical Models Soil Moisture
Source:

Atmos. Chem. Phys., 21, 11013–11040
DOI:

https://doi.org/10.5194/acp-21-11013-2021
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Journal Article
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CC BY
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urn:sha256:96e194840ad852a84dbcd083e477977d15bfd886cac0c4379c36f0a1e82c0d2d
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https://repository.library.noaa.gov/view/noaa/41842/noaa_41842_DS1.pdf
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