Impact of Surface Roughness and Soil Texture on Mineral Dust Emission Fluxes Modeling
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 Asi...
Main Authors: | , , , , , |
---|---|
Format: | Other/Unknown Material |
Language: | unknown |
Published: |
2013
|
Subjects: | |
Online Access: | http://hdl.handle.net/2060/20140016855 |
id |
ftnasantrs:oai:casi.ntrs.nasa.gov:20140016855 |
---|---|
record_format |
openpolar |
spelling |
ftnasantrs:oai:casi.ntrs.nasa.gov:20140016855 2023-05-15T13:06:46+02:00 Impact of Surface Roughness and Soil Texture on Mineral Dust Emission Fluxes Modeling Perez, Carlos Haustein, Karsten Bessagnet, Bertrand Prigent, Catherine Alfaro, Stephane Menut, Laurent Unclassified, Unlimited, Publicly available June 22, 2013 application/pdf http://hdl.handle.net/2060/20140016855 unknown Document ID: 20140016855 http://hdl.handle.net/2060/20140016855 Copyright, Distribution under U.S. Government purpose rights CASI Earth Resources and Remote Sensing Meteorology and Climatology GSFC-E-DAA-TN15374 Journal of Geophysical Research- Atmospheres; 118; 12; 6505-6520 2013 ftnasantrs 2019-07-21T00:22:03Z 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. Other/Unknown Material Aerosol Robotic Network NASA Technical Reports Server (NTRS) |
institution |
Open Polar |
collection |
NASA Technical Reports Server (NTRS) |
op_collection_id |
ftnasantrs |
language |
unknown |
topic |
Earth Resources and Remote Sensing Meteorology and Climatology |
spellingShingle |
Earth Resources and Remote Sensing Meteorology and Climatology Perez, Carlos Haustein, Karsten Bessagnet, Bertrand Prigent, Catherine Alfaro, Stephane Menut, Laurent Impact of Surface Roughness and Soil Texture on Mineral Dust Emission Fluxes Modeling |
topic_facet |
Earth Resources and Remote Sensing Meteorology and Climatology |
description |
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. |
format |
Other/Unknown Material |
author |
Perez, Carlos Haustein, Karsten Bessagnet, Bertrand Prigent, Catherine Alfaro, Stephane Menut, Laurent |
author_facet |
Perez, Carlos Haustein, Karsten Bessagnet, Bertrand Prigent, Catherine Alfaro, Stephane Menut, Laurent |
author_sort |
Perez, Carlos |
title |
Impact of Surface Roughness and Soil Texture on Mineral Dust Emission Fluxes Modeling |
title_short |
Impact of Surface Roughness and Soil Texture on Mineral Dust Emission Fluxes Modeling |
title_full |
Impact of Surface Roughness and Soil Texture on Mineral Dust Emission Fluxes Modeling |
title_fullStr |
Impact of Surface Roughness and Soil Texture on Mineral Dust Emission Fluxes Modeling |
title_full_unstemmed |
Impact of Surface Roughness and Soil Texture on Mineral Dust Emission Fluxes Modeling |
title_sort |
impact of surface roughness and soil texture on mineral dust emission fluxes modeling |
publishDate |
2013 |
url |
http://hdl.handle.net/2060/20140016855 |
op_coverage |
Unclassified, Unlimited, Publicly available |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
CASI |
op_relation |
Document ID: 20140016855 http://hdl.handle.net/2060/20140016855 |
op_rights |
Copyright, Distribution under U.S. Government purpose rights |
_version_ |
1766020010654826496 |