Simulating aerosols over Arabian Peninsula with CHIMERE: Sensitivity to soil, surface parameters and anthropogenic emission inventories
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 config...
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Online Access: | http://hdl.handle.net/10754/678367 https://doi.org/10.1016/j.atmosenv.2016.01.010 |
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ftkingabdullahun:oai:repository.kaust.edu.sa:10754/678367 2024-01-07T09:38:00+01:00 Simulating aerosols over Arabian Peninsula with CHIMERE: Sensitivity to soil, surface parameters and anthropogenic emission inventories Beegum, S. Naseema Gherboudj, Imen Chaouch, Naira Couvidat, Florian Menut, Laurent Ghedira, Hosni Earth Observation and Hydro-Climatology Lab, Masdar Institute of Science and Technology, Abu Dhabi, United Arab Emirates Institut National de l'Environnement Industriel et des Risques, Verneuil-en-Halatte, France Institut Pierre-Simon Laplace, Laboratoire de Meteorologie Dynamique, Ecole Polytechnique, Palaiseau, France 2016-01-11 http://hdl.handle.net/10754/678367 https://doi.org/10.1016/j.atmosenv.2016.01.010 unknown Elsevier BV https://linkinghub.elsevier.com/retrieve/pii/S1352231016300188 Beegum, S. N., Gherboudj, I., Chaouch, N., Couvidat, F., Menut, L., & Ghedira, H. (2016). Simulating aerosols over Arabian Peninsula with CHIMERE: Sensitivity to soil, surface parameters and anthropogenic emission inventories. Atmospheric Environment, 128, 185–197. doi:10.1016/j.atmosenv.2016.01.010 doi:10.1016/j.atmosenv.2016.01.010 2-s2.0-84953807318 1873-2844 1352-2310 ATMOSPHERIC ENVIRONMENT 185-197 http://hdl.handle.net/10754/678367 128 WOS:000375731900018 CHIMERE Chemistry transport model Aerosol optical depth EDGAR-HTAP emissions Surface roughness length Soil erodibility Article 2016 ftkingabdullahun https://doi.org/10.1016/j.atmosenv.2016.01.010 2023-12-09T20:18:00Z 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. We acknowledge the principal investigators of the AERONET stations Solar-Village, KAUST Campus, Sede-Boker and Eilat for proving AOD data (http://aeronet.gsfc.nasa.gov). We also thank the team of the WMO SDS-WAS for the compared dust product plots (http://sds-was.aemet.es/forecast-products/dust-forecasts). Acknowledgements are also due for NASA-EOS team ... Article in Journal/Newspaper Aerosol Robotic Network King Abdullah University of Science and Technology: KAUST Repository Atmospheric Environment 128 185 197 |
institution |
Open Polar |
collection |
King Abdullah University of Science and Technology: KAUST Repository |
op_collection_id |
ftkingabdullahun |
language |
unknown |
topic |
CHIMERE Chemistry transport model Aerosol optical depth EDGAR-HTAP emissions Surface roughness length Soil erodibility |
spellingShingle |
CHIMERE Chemistry transport model Aerosol optical depth EDGAR-HTAP emissions Surface roughness length Soil erodibility Beegum, S. Naseema 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 |
description |
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. We acknowledge the principal investigators of the AERONET stations Solar-Village, KAUST Campus, Sede-Boker and Eilat for proving AOD data (http://aeronet.gsfc.nasa.gov). We also thank the team of the WMO SDS-WAS for the compared dust product plots (http://sds-was.aemet.es/forecast-products/dust-forecasts). Acknowledgements are also due for NASA-EOS team ... |
author2 |
Earth Observation and Hydro-Climatology Lab, Masdar Institute of Science and Technology, Abu Dhabi, United Arab Emirates Institut National de l'Environnement Industriel et des Risques, Verneuil-en-Halatte, France Institut Pierre-Simon Laplace, Laboratoire de Meteorologie Dynamique, Ecole Polytechnique, Palaiseau, France |
format |
Article in Journal/Newspaper |
author |
Beegum, S. Naseema Gherboudj, Imen Chaouch, Naira Couvidat, Florian Menut, Laurent Ghedira, Hosni |
author_facet |
Beegum, S. Naseema Gherboudj, Imen Chaouch, Naira Couvidat, Florian Menut, Laurent Ghedira, Hosni |
author_sort |
Beegum, S. Naseema |
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 |
Elsevier BV |
publishDate |
2016 |
url |
http://hdl.handle.net/10754/678367 https://doi.org/10.1016/j.atmosenv.2016.01.010 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_relation |
https://linkinghub.elsevier.com/retrieve/pii/S1352231016300188 Beegum, S. N., Gherboudj, I., Chaouch, N., Couvidat, F., Menut, L., & Ghedira, H. (2016). Simulating aerosols over Arabian Peninsula with CHIMERE: Sensitivity to soil, surface parameters and anthropogenic emission inventories. Atmospheric Environment, 128, 185–197. doi:10.1016/j.atmosenv.2016.01.010 doi:10.1016/j.atmosenv.2016.01.010 2-s2.0-84953807318 1873-2844 1352-2310 ATMOSPHERIC ENVIRONMENT 185-197 http://hdl.handle.net/10754/678367 128 WOS:000375731900018 |
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 |
_version_ |
1787426293224046592 |