Simulating aerosols over Arabian Peninsula with CHIMERE : Sensitivity to soil, surface parameters and anthropogenic emission inventories
International audience A three dimensional chemistry transport model, CHIMERE, was used to simulate the aerosol optical depths (AOD) over the Arabian Peninsula desert with an offline coupling of Weather Research and Forecasting (WRF) model. The simulations were undertaken with: (i) different horizon...
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ftsorbonneuniv:oai:HAL:ineris-01854113v1 2024-09-15T17:35:13+00:00 Simulating aerosols over Arabian Peninsula with CHIMERE : Sensitivity to soil, surface parameters and anthropogenic emission inventories Naseema Beegum, S. Gherboudj, Imen Chaouch, Naira Couvidat, Florian Menut, Laurent Ghedira, Hosni Institut National de l'Environnement Industriel et des Risques (INERIS) 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) Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-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) 2016 https://ineris.hal.science/ineris-01854113 https://doi.org/10.1016/j.atmosenv.2016.01.010 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.atmosenv.2016.01.010 ineris-01854113 https://ineris.hal.science/ineris-01854113 doi:10.1016/j.atmosenv.2016.01.010 ISSN: 1352-2310 EISSN: 1873-2844 Atmospheric Environment https://ineris.hal.science/ineris-01854113 Atmospheric Environment, 2016, 128, pp.185-197. ⟨10.1016/j.atmosenv.2016.01.010⟩ CHIMERE CHEMISTRY TRANSPORT MODEL AEROSOL OPTICAL DEPTH EDGAR-HTAP EMISSIONS SURFACE ROUGHNESS LENGTH SOIL ERODIBILITY [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2016 ftsorbonneuniv https://doi.org/10.1016/j.atmosenv.2016.01.010 2024-08-01T23:46:53Z International audience A three dimensional chemistry transport model, CHIMERE, was used to simulate the aerosol optical depths (AOD) over the Arabian Peninsula desert with an offline coupling of Weather Research and Forecasting (WRF) model. The simulations were undertaken with: (i) different horizontal and vertical configurations, (ii) new datasets derived for soil/surface properties, and (iii) EDGAR-HTAP anthropogenic emissions inventories. The model performance evaluations were assessed: (i) qualitatively using MODIS (Moderate-Resolution Imaging Spectroradiometer) deep blue (DB) AOD data for the two local dust events of August 6th and 23rd (2013), and (ii) quantitatively using AERONET (Aerosol Robotic Network) AOD observations, CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) aerosol extinction profiles, and AOD simulations from various forecast models. The model results were observed to be highly sensitive to erodibility and aerodynamic surface roughness length. The use of new datasets on soil erodibility, derived from the MODIS reflectance, and aerodynamic surface roughness length (z0), derived from the ERA-Interim datasets, significantly improved the simulation results. Simulations with the global EDGAR-HTAP anthropogenic emission inventories brought the simulated AOD values closer to the observations. Performance testing of the adapted model for the Arabian Peninsula domain with improved datasets showed good agreement between AERONET AOD measurements and CHIMERE simulations, where the correlation coefficient (R) is 0.6. Higher values of the correlation coefficients and slopes were observed for the dusty periods compared to the non-dusty periods. Article in Journal/Newspaper Aerosol Robotic Network HAL Sorbonne Université Atmospheric Environment 128 185 197 |
institution |
Open Polar |
collection |
HAL Sorbonne Université |
op_collection_id |
ftsorbonneuniv |
language |
English |
topic |
CHIMERE CHEMISTRY TRANSPORT MODEL AEROSOL OPTICAL DEPTH EDGAR-HTAP EMISSIONS SURFACE ROUGHNESS LENGTH SOIL ERODIBILITY [SDE]Environmental Sciences |
spellingShingle |
CHIMERE CHEMISTRY TRANSPORT MODEL AEROSOL OPTICAL DEPTH EDGAR-HTAP EMISSIONS SURFACE ROUGHNESS LENGTH SOIL ERODIBILITY [SDE]Environmental Sciences Naseema Beegum, S. Gherboudj, Imen Chaouch, Naira Couvidat, Florian Menut, Laurent Ghedira, Hosni Simulating aerosols over Arabian Peninsula with CHIMERE : Sensitivity to soil, surface parameters and anthropogenic emission inventories |
topic_facet |
CHIMERE CHEMISTRY TRANSPORT MODEL AEROSOL OPTICAL DEPTH EDGAR-HTAP EMISSIONS SURFACE ROUGHNESS LENGTH SOIL ERODIBILITY [SDE]Environmental Sciences |
description |
International audience A three dimensional chemistry transport model, CHIMERE, was used to simulate the aerosol optical depths (AOD) over the Arabian Peninsula desert with an offline coupling of Weather Research and Forecasting (WRF) model. The simulations were undertaken with: (i) different horizontal and vertical configurations, (ii) new datasets derived for soil/surface properties, and (iii) EDGAR-HTAP anthropogenic emissions inventories. The model performance evaluations were assessed: (i) qualitatively using MODIS (Moderate-Resolution Imaging Spectroradiometer) deep blue (DB) AOD data for the two local dust events of August 6th and 23rd (2013), and (ii) quantitatively using AERONET (Aerosol Robotic Network) AOD observations, CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) aerosol extinction profiles, and AOD simulations from various forecast models. The model results were observed to be highly sensitive to erodibility and aerodynamic surface roughness length. The use of new datasets on soil erodibility, derived from the MODIS reflectance, and aerodynamic surface roughness length (z0), derived from the ERA-Interim datasets, significantly improved the simulation results. Simulations with the global EDGAR-HTAP anthropogenic emission inventories brought the simulated AOD values closer to the observations. Performance testing of the adapted model for the Arabian Peninsula domain with improved datasets showed good agreement between AERONET AOD measurements and CHIMERE simulations, where the correlation coefficient (R) is 0.6. Higher values of the correlation coefficients and slopes were observed for the dusty periods compared to the non-dusty periods. |
author2 |
Institut National de l'Environnement Industriel et des Risques (INERIS) 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) Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-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) |
format |
Article in Journal/Newspaper |
author |
Naseema Beegum, S. Gherboudj, Imen Chaouch, Naira Couvidat, Florian Menut, Laurent Ghedira, Hosni |
author_facet |
Naseema Beegum, S. Gherboudj, Imen Chaouch, Naira Couvidat, Florian Menut, Laurent Ghedira, Hosni |
author_sort |
Naseema Beegum, S. |
title |
Simulating aerosols over Arabian Peninsula with CHIMERE : Sensitivity to soil, surface parameters and anthropogenic emission inventories |
title_short |
Simulating aerosols over Arabian Peninsula with CHIMERE : Sensitivity to soil, surface parameters and anthropogenic emission inventories |
title_full |
Simulating aerosols over Arabian Peninsula with CHIMERE : Sensitivity to soil, surface parameters and anthropogenic emission inventories |
title_fullStr |
Simulating aerosols over Arabian Peninsula with CHIMERE : Sensitivity to soil, surface parameters and anthropogenic emission inventories |
title_full_unstemmed |
Simulating aerosols over Arabian Peninsula with CHIMERE : Sensitivity to soil, surface parameters and anthropogenic emission inventories |
title_sort |
simulating aerosols over arabian peninsula with chimere : sensitivity to soil, surface parameters and anthropogenic emission inventories |
publisher |
HAL CCSD |
publishDate |
2016 |
url |
https://ineris.hal.science/ineris-01854113 https://doi.org/10.1016/j.atmosenv.2016.01.010 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
ISSN: 1352-2310 EISSN: 1873-2844 Atmospheric Environment https://ineris.hal.science/ineris-01854113 Atmospheric Environment, 2016, 128, pp.185-197. ⟨10.1016/j.atmosenv.2016.01.010⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.atmosenv.2016.01.010 ineris-01854113 https://ineris.hal.science/ineris-01854113 doi:10.1016/j.atmosenv.2016.01.010 |
op_doi |
https://doi.org/10.1016/j.atmosenv.2016.01.010 |
container_title |
Atmospheric Environment |
container_volume |
128 |
container_start_page |
185 |
op_container_end_page |
197 |
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1810445722384859136 |