气候变化领域集成服务门户(CCPortal): 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)

CCPortal

DOI	10.5194/acp-20-55-2020
	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)
	Pu B.; Ginoux P.; Guo H.; Christina Hsu N.; Kimball J.; Marticorena B.; Malyshev S.; Naik V.; O'Neill N.T.; Pérez García-Pando C.; Paireau J.; Prospero J.M.; Shevliakova E.; Zhao M.
发表日期	2020
ISSN	16807316
起始页码	55
结束页码	81
卷号	20 期号:1
英文摘要	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 (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. © Author(s) 2020.
关键词	atmospheric modeling dust frequency analysis land surface MODIS satellite data seasonality temporal distribution wind erosion
语种	英语
来源机构	Atmospheric Chemistry and Physics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/132323
推荐引用方式 GB/T 7714	Pu B.,Ginoux P.,Guo H.,et al. 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)[J]. Atmospheric Chemistry and Physics,2020,20(1).
APA	Pu B..,Ginoux P..,Guo H..,Christina Hsu N..,Kimball J..,...&Zhao M..(2020).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).,20(1).
MLA	Pu B.,et al."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)".20.1(2020).