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 GEOS Earth system model simulations
Abstract. Satellite observations and ground-based measurements have indicated a high variability in the Aerosol Optical Depth (AOD) in the Middle East region in recent decades. In the period that extends from 2003 to 2012, observations show a positive trend of 0.01–0.04 AOD per year or a total increase of 0.1–0.4 per decade. This study aimed to investigate if the observed trend was also captured by the NASA Goddard Earth Observing System (GEOS) Earth system model. To this end, we examined changes in the simulated dust emissions and dust AOD during this period. To understand the factors driving the increase of AOD in this region we also examined meteorological and surface parameters important for dust emissions, such as wind fields and soil moisture. Two GEOS model simulations were used in this study: the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) Reanalysis (with meteorological and aerosol AOD data assimilated) and MERRA-2 GMI Replay (with meteorology constrained by MERRA-2 Reanalysis, but without aerosol assimilation). We did not find notable changes in the modeled 10-meter wind speed and soil moisture. However, analysis of MODIS Normalized Difference Vegetation Index (NDVI) data, did show an average decrease of 8 % per year in the region encompassing Syria and Iraq, which prompted us to quantify the effects of vegetation on dust emissions and AOD in the Middle East region. This was done by performing a sensitivity experiment in which we enhanced dust emissions in grid cells where NDVI decreased. The simulation results supported our hypothesis that the loss of vegetation cover and the associated increase of dust emissions over Syria and Iraq can partially explain the increase of AOD downwind. The model simulations indicated dust emissions need to be tenfold larger in those grid cells in order to reproduce the observed AOD and trend in the model.
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Notice on discussion status
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
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Preprint
(32761 KB)
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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(32761 KB) - Metadata XML
- BibTeX
- EndNote
- Final revised paper
Journal article(s) based on this preprint
Interactive discussion
Status: closed
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RC1: 'Comment on egusphere-2023-1325', Anonymous Referee #2, 12 Sep 2023
Please find my comments in the attached file.
- AC1: 'Reply on RC1', Adriana Rocha Lima, 05 Nov 2023
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RC2: 'Comment on egusphere-2023-1325', Anonymous Referee #3, 24 Dec 2023
Excellent paper, I suggest to publish as is
Citation: https://doi.org/10.5194/egusphere-2023-1325-RC2
Interactive discussion
Status: closed
-
RC1: 'Comment on egusphere-2023-1325', Anonymous Referee #2, 12 Sep 2023
Please find my comments in the attached file.
- AC1: 'Reply on RC1', Adriana Rocha Lima, 05 Nov 2023
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RC2: 'Comment on egusphere-2023-1325', Anonymous Referee #3, 24 Dec 2023
Excellent paper, I suggest to publish as is
Citation: https://doi.org/10.5194/egusphere-2023-1325-RC2
Peer review completion
Journal article(s) based on this preprint
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Adriana Rocha-Lima
Peter R. Colarco
Anton S. Darmenov
Edward P. Nowottnick
Arlindo M. da Silva
Luke D. Oman
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(32761 KB) - Metadata XML