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

i

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

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2021
By Huang, Min ; Crawford, James H. ; DiGangi, Joshua P. ; ...

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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. ; Kumar, Sujay V. ; Zhan, Xiwu
NOAA Program & Office:

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

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

Journal Article
Rights Information:

CC BY
Compliance:

Submitted
Main Document Checksum:

urn:sha256:96e194840ad852a84dbcd083e477977d15bfd886cac0c4379c36f0a1e82c0d2d
Download URL:

https://repository.library.noaa.gov/view/noaa/41842/noaa_41842_DS1.pdf
File Type:

[PDF - 18.08 MB ]

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