Articles | Volume 22, issue 11
Research article
10 Jun 2022
Research article |  | 10 Jun 2022

Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US – Part 2: Sensitivity to dry-deposition parameterizations

Min Huang, James H. Crawford, Gregory R. Carmichael, Kevin W. Bowman, Sujay V. Kumar, and Colm Sweeney

Data sets

Fraction of green vegetation cover 1 km version 2 data Copernicus Global Land Service

SMAP L4 Global Daily 9 km EASE-Grid Carbon Net Ecosystem Exchange, Version 6 J. S. Kimball, L. A. Jones, A. Endsley, T. Kundig, and R. Reichle

ACT-America 2016 1-minute Merged B-200/C-130 Data, Version R1/R4 NASA

Gridded Population of the World, Version 4.11 NASA Socioeconomic Data and Applications Center

High Resolution Global Contiguous SIF Estimates Derived from OCO-2 SIF and MODIS L. Yu, J. Wen, C. Y. Chang, C. Frankenberg, and Y. Sun

Ozone dry deposition and ozone fields modeled by WRF-Chem M. Huang

Short summary
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.
Final-revised paper