Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 3
Articles | Volume 16, issue 3
https://doi.org/10.5194/gmd-16-1009-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-1009-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 3
Development and technical paper
 | 
09 Feb 2023
Development and technical paper |  | 09 Feb 2023

Application of a satellite-retrieved sheltering parameterization (v1.0) for dust event simulation with WRF-Chem v4.1

Sandra L. LeGrand, Theodore W. Letcher, Gregory S. Okin, Nicholas P. Webb, Alex R. Gallagher, Saroj Dhital, Taylor S. Hodgdon, Nancy P. Ziegler, and Michelle L. Michaels

Supplement

https://doi.org/10.5194/gmd-16-1009-2023-supplement

Data sets

MODIS/Terra+Aqua BRDF/Albedo Model Parameters Daily L3 Global - 500m V061 C. Schaaf and Z. Wang https://doi.org/10.5067/MODIS/MCD43A1.061

MODIS/Terra+Aqua BRDF/Albedo Daily L3 Global - 500m V061 C. Schaaf and Z. Wang https://doi.org/10.5067/MODIS/MCD43A3.061

MODIS/Terra Snow Cover Daily L3 Global 500m Grid D. K. Hall, V. V. Salomonson, and G. A. Riggs https://doi.org/10.5067/MODIS/MOD10A1.006

Model code and software

WRF-Chem-v4.1-AFWA-Drag-Partition-Modifications: Full model code release (bug-fix release) (v1.1.1) Theodore W. Letcher, Sandra L. LeGrand, and Michelle L. Michaels https://doi.org/10.5281/zenodo.7447886

WRF Version 4.1 National Center for Atmospheric Research (NCAR) https://github.com/wrf-model/WRF/releases/tag/v4.1

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Short summary
Ground cover affects dust emissions by reducing wind flow over the immediate soil surface. This study reviews a method for estimating ground cover effects on wind erosion from satellite-detected terrain shadows. We conducted a case study for a US dust event using the Weather Research and Forecasting with Chemistry (WRF-Chem) model. Adding the shadow-based method for ground cover effects markedly improved simulated results and may lead to better dust modeling outcomes in vegetated drylands.
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