Articles | Volume 24, issue 4
https://doi.org/10.5194/acp-24-2443-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-2443-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Investigation of observed dust trends over the Middle East region in NASA Goddard Earth Observing System (GEOS) model simulations
Adriana Rocha-Lima
CORRESPONDING AUTHOR
Physics Department, University of Maryland, Baltimore County (UMBC), Baltimore, MD, USA
Peter R. Colarco
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Anton S. Darmenov
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Edward P. Nowottnick
Mesoscale Atmospheric Processes Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Arlindo M. da Silva
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Luke D. Oman
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
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Cited
14 citations as recorded by crossref.
- A Multidecadal Assessment of Haze Development and Fluctuations in Visibility for Arabian Peninsula L. Atique et al. https://doi.org/10.1007/s41748-024-00531-9
- A Comprehensive Analysis of AOD and its Species from Reanalysis Data over the Middle East and North Africa Regions: Evaluation of Model Performance Using Machine Learning Techniques S. Berhane et al. https://doi.org/10.1007/s41748-024-00513-x
- Detection of internal dust storm centers and their transport and dispersion modelling in southwestern Iran F. Alizadeh et al. https://doi.org/10.1007/s11600-025-01557-x
- A review of extreme air pollution measurement and modeling techniques with applications K. Rautela et al. https://doi.org/10.1016/j.rser.2026.117178
- Dust impact on photovoltaics: a systematic review of meteorological and environmental soiling prediction models A. Al-Kalbani et al. https://doi.org/10.1016/j.solener.2026.115139
- A 13-year space-based climatological evolution of desert dust aerosols in the Middle East and North Africa regions observed by the CALIPSO S. Berhane et al. https://doi.org/10.1016/j.scitotenv.2024.174793
- Linking dust source susceptibility mapping and land use change in Middle East M. Boroughani et al. https://doi.org/10.1016/j.apr.2025.102774
- Interpretable Ensemble Machine Learning for Statistical Emulation of Summer PM2.5 Change in GEOS-CF over the Arabian Peninsula: How Far Does Spatially Blocked Skill Transfer? A. Alturki et al. https://doi.org/10.3390/atmos17101035
- Modeling and Analysis of Long-Range Dust Transport from the Sahara and Arabian Deserts To West Asia Using WRF-Chem and Remote Sensing: Insights from the Spring 2015 Dust Event Y. Aydin et al. https://doi.org/10.1007/s41748-026-01043-4
- Spatiotemporal Assessment of the Correlation Between Rainfall and Aerosol Optical Depth Using GIS and Google Earth Engine in Iraq S. Ali Muter et al. https://doi.org/10.1088/1755-1315/1531/1/012016
- Evaluation of dust optical depth in CMIP6 simulations over the Middle East–North Africa region B. Dayanandan et al. https://doi.org/10.1016/j.atmosenv.2026.122431
- Dust- versus cloud-radiation impacts on the diurnal temperature range for long-lasting dust weather over the Taklimakan Desert Y. Chen et al. https://doi.org/10.1016/j.atmosenv.2024.120946
- Air quality variations over the Arabian Peninsula during the post-COVID-19 lockdown: satellite-derived trends using Sentinel-5P TROPOMI and NASA GEOS-CF I. Hamdi et al. https://doi.org/10.1016/j.asr.2026.08.074
- Dust over Saudi Arabia from multisource data: case studies in winter and spring M. Assiri et al. https://doi.org/10.1007/s11869-024-01660-w
14 citations as recorded by crossref.
- A Multidecadal Assessment of Haze Development and Fluctuations in Visibility for Arabian Peninsula L. Atique et al. https://doi.org/10.1007/s41748-024-00531-9
- A Comprehensive Analysis of AOD and its Species from Reanalysis Data over the Middle East and North Africa Regions: Evaluation of Model Performance Using Machine Learning Techniques S. Berhane et al. https://doi.org/10.1007/s41748-024-00513-x
- Detection of internal dust storm centers and their transport and dispersion modelling in southwestern Iran F. Alizadeh et al. https://doi.org/10.1007/s11600-025-01557-x
- A review of extreme air pollution measurement and modeling techniques with applications K. Rautela et al. https://doi.org/10.1016/j.rser.2026.117178
- Dust impact on photovoltaics: a systematic review of meteorological and environmental soiling prediction models A. Al-Kalbani et al. https://doi.org/10.1016/j.solener.2026.115139
- A 13-year space-based climatological evolution of desert dust aerosols in the Middle East and North Africa regions observed by the CALIPSO S. Berhane et al. https://doi.org/10.1016/j.scitotenv.2024.174793
- Linking dust source susceptibility mapping and land use change in Middle East M. Boroughani et al. https://doi.org/10.1016/j.apr.2025.102774
- Interpretable Ensemble Machine Learning for Statistical Emulation of Summer PM2.5 Change in GEOS-CF over the Arabian Peninsula: How Far Does Spatially Blocked Skill Transfer? A. Alturki et al. https://doi.org/10.3390/atmos17101035
- Modeling and Analysis of Long-Range Dust Transport from the Sahara and Arabian Deserts To West Asia Using WRF-Chem and Remote Sensing: Insights from the Spring 2015 Dust Event Y. Aydin et al. https://doi.org/10.1007/s41748-026-01043-4
- Spatiotemporal Assessment of the Correlation Between Rainfall and Aerosol Optical Depth Using GIS and Google Earth Engine in Iraq S. Ali Muter et al. https://doi.org/10.1088/1755-1315/1531/1/012016
- Evaluation of dust optical depth in CMIP6 simulations over the Middle East–North Africa region B. Dayanandan et al. https://doi.org/10.1016/j.atmosenv.2026.122431
- Dust- versus cloud-radiation impacts on the diurnal temperature range for long-lasting dust weather over the Taklimakan Desert Y. Chen et al. https://doi.org/10.1016/j.atmosenv.2024.120946
- Air quality variations over the Arabian Peninsula during the post-COVID-19 lockdown: satellite-derived trends using Sentinel-5P TROPOMI and NASA GEOS-CF I. Hamdi et al. https://doi.org/10.1016/j.asr.2026.08.074
- Dust over Saudi Arabia from multisource data: case studies in winter and spring M. Assiri et al. https://doi.org/10.1007/s11869-024-01660-w
Saved (final revised paper)
Latest update: 03 Nov 2026
Short summary
Observations show an increasing aerosol optical depth trend in the Middle East between 2003–2012. We evaluate the NASA Goddard Earth Observing System (GEOS) model's ability to capture these trends and examine the meteorological and surface parameters driving dust emissions. Our results highlight the importance of data assimilation for long-term trends of atmospheric aerosols and support the hypothesis that vegetation cover loss may have contributed to increasing dust emissions in the period.
Observations show an increasing aerosol optical depth trend in the Middle East between...
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