DOI: 10.1002/jgrd.50313
论文题名: Impact of surface roughness and soil texture on mineral dust emission fluxes modeling
作者: Menut L. ; Pérez C. ; Haustein K. ; Bessagnet B. ; Prigent C. ; Alfaro S.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 12 起始页码: 6505
结束页码: 6520
语种: 英语
英文关键词: emissions fluxes
; mineral dust
; transport modeling
Scopus关键词: Agriculture
; Arid regions
; Atmospheric aerosols
; Drag
; Models
; Soils
; Surface roughness
; Textures
; Aerodynamic roughness length
; Aerosol optical depths
; Aerosol robotic networks
; Emissions fluxes
; Mineral dust
; Mineral dust aerosol
; Mineral dust emission
; Transport modeling
; Dust
; aerosol
; atmospheric modeling
; atmospheric pollution
; data set
; dust
; flux measurement
; fractionation
; mineral
; numerical model
; optical depth
; size distribution
; soil emission
; soil texture
; Africa
英文摘要: Dust production models (DPM) used to estimate vertical fluxes of mineral dust aerosols over arid regions need accurate data on soil and surface properties. The Laboratoire Inter-Universitaire des Systemes Atmospheriques (LISA) data set was developed for Northern Africa, the Middle East, and East Asia. This regional data set was built through dedicated field campaigns and include, among others, the aerodynamic roughness length, the smooth roughness length of the erodible fraction of the surface, and the dry (undisturbed) soil size distribution. Recently, satellite-derived roughness length and high-resolution soil texture data sets at the global scale have emerged and provide the opportunity for the use of advanced schemes in global models. This paper analyzes the behavior of the ERS satellite-derived global roughness length and the State Soil Geographic data base-Food and Agriculture Organization of the United Nations (STATSGO-FAO) soil texture data set (based on wet techniques) using an advanced DPM in comparison to the LISA data set over Northern Africa and the Middle East. We explore the sensitivity of the drag partition scheme (a critical component of the DPM) and of the dust vertical fluxes (intensity and spatial patterns) to the roughness length and soil texture data sets. We also compare the use of the drag partition scheme to a widely used preferential source approach in global models. Idealized experiments with prescribed wind speeds show that the ERS and STATSGO-FAO data sets provide realistic spatial patterns of dust emission and friction velocity thresholds in the region. Finally, we evaluate a dust transport model for the period of March to July 2011 with observed aerosol optical depths from Aerosol Robotic Network sites. Results show that ERS and STATSGO-FAO provide realistic simulations in the region. Key Points Sensitivity study on the most sensitive parameters for mineral dust fluxes The capability to use different surface emissions inventories Comparison of regional dust modeling against aerosol optical depth data © 2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63610
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Institut P.-S. Laplace, Laboratoire de Météorologie Dynamique, Ecole Polytechnique, Palaiseau, France; NASA Goddard Institute for Space Studies, New York, NY, United States; Department of Applied Physics and Applied Math, Columbia University, New York, NY, United States; Earth Sciences Division, Barcelona Supercomputing Center, Barcelona, Spain; School of Geography and the Environment, University of Oxford, Oxford, United Kingdom; INERIS, Institut National de l'Environnement Industriel et des Risques, Verneuil en Halatte, France; Laboratoire d'Etudes du Rayonnement et de la Matière en Astrophysique, CNRS UMR 8112, Observatoire de Paris, Paris, France; Laboratoire Inter-Universitaires des Systèmes Atmosphériques, Université Parie-Est Créteil, Université Paris, Créteil, Diderot, France
Recommended Citation:
Menut L.,Pérez C.,Haustein K.,et al. Impact of surface roughness and soil texture on mineral dust emission fluxes modeling[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(12)