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Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land–atmosphere model (GFDL AM4.0/LM4.0)Dust emission is initiated when surface wind velocities exceed the threshold of wind erosion. Many dust models used constant threshold values globally. Here we use satellite products to characterize the frequency of dust events and land surface properties. By matching this frequency derived from Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue aerosol products with surface winds, we are able to retrieve a climatological monthly global distribution of the wind erosion threshold (V(threshold)) over dry and sparsely vegetated surfaces. This monthly two-dimensional threshold velocity is then implemented into the Geophysical Fluid Dynamics Laboratory coupled land–atmosphere model (AM4.0/LM4.0). It is found that the climatology of dust optical depth (DOD) and total aerosol optical depth, surface PM10 dust concentrations, and the seasonal cycle of DOD are better captured over the “dust belt” (i.e., northern Africa and the Middle East) by simulations with the new wind erosion threshold than those using the default globally constant threshold. The most significant improvement is the frequency distribution of dust events, which is generally ignored in model evaluation. By using monthly rather than annual mean V(threshold), all comparisons with observations are further improved. The monthly global threshold of wind erosion can be retrieved under different spatial resolutions to match the resolution of dust models and thus can help improve the simulations of dust climatology and seasonal cycles as well as
dust forecasting.
Document ID
20210012742
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Bing Pu
(Princeton University Princeton, New Jersey, United States)
Paul Ginoux
(National Oceanic and Atmospheric Administration Washington D.C., District of Columbia, United States)
Huan Guo
(National Oceanic and Atmospheric Administration Washington D.C., District of Columbia, United States)
N. Christina Hsu
(Goddard Space Flight Center Greenbelt, Maryland, United States)
John Kimball
(University of Montana System Helena, Montana, United States)
Beatrice Marticorena
(Paris Diderot University Paris, France)
Sergey Malyshev
(National Oceanic and Atmospheric Administration Washington D.C., District of Columbia, United States)
Vaishali Naik
(National Oceanic and Atmospheric Administration Washington D.C., District of Columbia, United States)
Norman T. O’Neill
(Université de Sherbrooke Sherbrooke, Quebec, Canada)
Carlos Pérez García‐Pando ORCID
(Barcelona Supercomputing Center Barcelona, Spain)
Juliette Paireau
(Princeton University Princeton, New Jersey, United States)
Joseph M. Prospero
(University of Miami Coral Gables, Florida, United States)
Elena Shevliakova
(National Oceanic and Atmospheric Administration Washington D.C., District of Columbia, United States)
Ming Zhao
(National Oceanic and Atmospheric Administration Washington D.C., District of Columbia, United States)
Date Acquired
March 29, 2021
Publication Date
January 3, 2021
Publication Information
Publication: Atmospheric Chemistry and Physics
Publisher: Copernicus Publications/EGU
Volume: 20
Issue: 1
Issue Publication Date: January 1, 2020
URL: https://acp.copernicus.org/articles/20/55/2020/
Subject Category
Geosciences (General)
Funding Number(s)
WBS: 437949.02.01.02.69
CONTRACT_GRANT: NNH14ZDA001N-ACMAP
CONTRACT_GRANT: NNH16ZDA001NMAP
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
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