Impact of surface roughness and soil texture on mineral dust emission fluxes modeling
International audience 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 Mi...
Published in: | Journal of Geophysical Research: Atmospheres |
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Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2013
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Online Access: | https://ineris.hal.science/ineris-00963474 https://ineris.hal.science/ineris-00963474/document https://ineris.hal.science/ineris-00963474/file/jgrd.50313.pdf https://doi.org/10.1002/jgrd.50313 |
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Archive de l'Observatoire de Paris (HAL) |
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English |
topic |
EMISSIONS FLUXES TRANSPORT MODELING MINERAL DUST [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment [SDE]Environmental Sciences |
spellingShingle |
EMISSIONS FLUXES TRANSPORT MODELING MINERAL DUST [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment [SDE]Environmental Sciences Menut, Laurent Perez, C. Haustein, K. Bessagnet, Bertrand Prigent, Catherine Alfaro, S. Impact of surface roughness and soil texture on mineral dust emission fluxes modeling |
topic_facet |
EMISSIONS FLUXES TRANSPORT MODELING MINERAL DUST [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment [SDE]Environmental Sciences |
description |
International audience 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. |
author2 |
Laboratoire de Météorologie Dynamique (UMR 8539) (LMD) Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL) Institut National de l'Environnement Industriel et des Risques (INERIS) Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris Université Paris Sciences et Lettres (PSL)-Université de Cergy Pontoise (UCP) Université Paris-Seine-Université Paris-Seine-Centre National de la Recherche Scientifique (CNRS) Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA (UMR_7583)) Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Menut, Laurent Perez, C. Haustein, K. Bessagnet, Bertrand Prigent, Catherine Alfaro, S. |
author_facet |
Menut, Laurent Perez, C. Haustein, K. Bessagnet, Bertrand Prigent, Catherine Alfaro, S. |
author_sort |
Menut, Laurent |
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 |
publisher |
HAL CCSD |
publishDate |
2013 |
url |
https://ineris.hal.science/ineris-00963474 https://ineris.hal.science/ineris-00963474/document https://ineris.hal.science/ineris-00963474/file/jgrd.50313.pdf https://doi.org/10.1002/jgrd.50313 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
ISSN: 2169-897X EISSN: 2169-8996 Journal of Geophysical Research: Atmospheres https://ineris.hal.science/ineris-00963474 Journal of Geophysical Research: Atmospheres, 2013, 118 (12), pp.6505-6520. ⟨10.1002/jgrd.50313⟩ |
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info:eu-repo/semantics/altIdentifier/doi/10.1002/jgrd.50313 ineris-00963474 https://ineris.hal.science/ineris-00963474 https://ineris.hal.science/ineris-00963474/document https://ineris.hal.science/ineris-00963474/file/jgrd.50313.pdf BIBCODE: 2013JGRD.118.6505M doi:10.1002/jgrd.50313 INERIS: EN-2013-222 |
op_rights |
http://hal.archives-ouvertes.fr/licences/copyright/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1002/jgrd.50313 |
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Journal of Geophysical Research: Atmospheres |
container_volume |
118 |
container_issue |
12 |
container_start_page |
6505 |
op_container_end_page |
6520 |
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ftobservparis:oai:HAL:ineris-00963474v1 2024-06-09T07:37:54+00:00 Impact of surface roughness and soil texture on mineral dust emission fluxes modeling Menut, Laurent Perez, C. Haustein, K. Bessagnet, Bertrand Prigent, Catherine Alfaro, S. Laboratoire de Météorologie Dynamique (UMR 8539) (LMD) Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL) Institut National de l'Environnement Industriel et des Risques (INERIS) Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris Université Paris Sciences et Lettres (PSL)-Université de Cergy Pontoise (UCP) Université Paris-Seine-Université Paris-Seine-Centre National de la Recherche Scientifique (CNRS) Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA (UMR_7583)) Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS) 2013 https://ineris.hal.science/ineris-00963474 https://ineris.hal.science/ineris-00963474/document https://ineris.hal.science/ineris-00963474/file/jgrd.50313.pdf https://doi.org/10.1002/jgrd.50313 en eng HAL CCSD American Geophysical Union info:eu-repo/semantics/altIdentifier/doi/10.1002/jgrd.50313 ineris-00963474 https://ineris.hal.science/ineris-00963474 https://ineris.hal.science/ineris-00963474/document https://ineris.hal.science/ineris-00963474/file/jgrd.50313.pdf BIBCODE: 2013JGRD.118.6505M doi:10.1002/jgrd.50313 INERIS: EN-2013-222 http://hal.archives-ouvertes.fr/licences/copyright/ info:eu-repo/semantics/OpenAccess ISSN: 2169-897X EISSN: 2169-8996 Journal of Geophysical Research: Atmospheres https://ineris.hal.science/ineris-00963474 Journal of Geophysical Research: Atmospheres, 2013, 118 (12), pp.6505-6520. ⟨10.1002/jgrd.50313⟩ EMISSIONS FLUXES TRANSPORT MODELING MINERAL DUST [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2013 ftobservparis https://doi.org/10.1002/jgrd.50313 2024-05-16T11:22:58Z International audience 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. Article in Journal/Newspaper Aerosol Robotic Network Archive de l'Observatoire de Paris (HAL) Journal of Geophysical Research: Atmospheres 118 12 6505 6520 |