Show simple item record

dc.contributor.authorPu, Bing
dc.contributor.authorGinoux, Paul
dc.contributor.authorGuo, Huan
dc.contributor.authorHsu, N. Christina
dc.contributor.authorKimball, John
dc.contributor.authorMarticorena, Beatrice
dc.contributor.authorMalyshev, Sergey
dc.contributor.authorNaik, Vaishali
dc.contributor.authorO'Neill, Norman T.
dc.contributor.authorGarcía-Pando, Carlos Pérez
dc.contributor.authorPaireau, Juliette
dc.contributor.authorProspero, Joseph M.
dc.contributor.authorShevliakova, Elena
dc.contributor.authorZhao, Ming
dc.date.accessioned2022-09-19T19:39:02Z
dc.date.available2022-09-19T19:39:02Z
dc.date.issued2020-01-03
dc.identifier.citationPu, B., Ginoux, P., Guo, H., Hsu, N. C., Kimball, J., Marticorena, B., Malyshev, S., Naik, V., O'Neill, N. T., Pérez García-Pando, C., Paireau, J., Prospero, J. M., Shevliakova, E., and Zhao, M.: 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), Atmos. Chem. Phys., 20, 55–81, https://doi.org/10.5194/acp-20-55-2020, 2020.en_US
dc.identifier.urihttp://hdl.handle.net/1808/33524
dc.description.abstractDust 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 (Vthreshold) 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 Vthreshold, 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.en_US
dc.publisherEuropean Geosciences Unionen_US
dc.rights© Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.titleRetrieving 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)en_US
dc.typeArticleen_US
kusw.kuauthorPu, Bing
kusw.kudepartmentGeography & Atmospheric Scienceen_US
dc.identifier.doi10.5194/acp-20-55-2020en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-7620-8460en_US
dc.identifier.orcidhttps://orcid.org/0000-0003-3642-2988en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-8312-9963en_US
dc.identifier.orcidhttps://orcid.org/0000-0003-0860-8048en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-6259-1043en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-4456-0697en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccessen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

© Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.
Except where otherwise noted, this item's license is described as: © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.