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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Published in:Atmospheric Environment
Main Authors: Naseema Beegum, S., Gherboudj, Imen, Chaouch, Naira, Couvidat, Florian, Menut, Laurent, Ghedira, Hosni
Other Authors: 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)-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
Language:English
Published: HAL CCSD 2016
Subjects:
Online Access:https://ineris.hal.science/ineris-01854113
https://doi.org/10.1016/j.atmosenv.2016.01.010
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spelling ftuniparissaclay:oai:HAL:ineris-01854113v1 2024-06-16T07:32:59+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)-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 ftuniparissaclay https://doi.org/10.1016/j.atmosenv.2016.01.010 2024-05-17T00:11:20Z 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 Archives ouvertes de Paris-Saclay Atmospheric Environment 128 185 197
institution Open Polar
collection Archives ouvertes de Paris-Saclay
op_collection_id ftuniparissaclay
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)-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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