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dc.contributor.authorOsipov, Sergey
dc.contributor.authorStenchikov, Georgiy L.
dc.date.accessioned2018-01-28T07:01:38Z
dc.date.available2018-01-28T07:01:38Z
dc.date.issued2018-02-07
dc.identifier.citationOsipov S, Stenchikov G (2018) Simulating the Regional Impact of Dust on the Middle East Climate and the Red Sea. Journal of Geophysical Research: Oceans. Available: http://dx.doi.org/10.1002/2017jc013335.
dc.identifier.issn2169-9275
dc.identifier.doi10.1002/2017jc013335
dc.identifier.urihttp://hdl.handle.net/10754/626884
dc.description.abstractThe Red Sea is located between North Africa and the Arabian Peninsula, the largest sources of dust in the world. Satellite retrievals show very high aerosol optical depth in the region, which increases during the summer season, especially over the southern Red Sea. Previously estimated and validated radiative effect from dust is expected to have a profound thermal and dynamic impact on the Red Sea, but that impact has not yet been studied or evaluated. Due to the strong dust radiative effect at the sea surface, uncoupled ocean modeling approaches with prescribed atmospheric boundary conditions result in an unrealistic ocean response. Therefore, to study the impact of dust on the regional climate of the Middle East and the Red Sea, we employed the Regional Ocean Modeling System fully coupled with the Weather Research and Forecasting model. We modified the atmospheric model to account for the radiative effect of dust. The simulations show that, in the equilibrium response, dust cools the Red Sea, reduces the surface wind speed, and weakens both the exchange at the Bab-el-Mandeb strait and the overturning circulation. The salinity distribution, freshwater, and heat budgets are significantly altered. A validation of the simulations against satellite products indicates that accounting for radiative effect from dust almost completely removes the bias and reduces errors in the top of the atmosphere fluxes and sea surface temperature. Our results suggest that dust plays an important role in the energy balance, thermal, and circulation regimes in the Red Sea.
dc.description.sponsorshipThe ERA-Interim data were obtained from the ECMWF Data Server with 0.75 by 0.75 degree horizontal and 6 hours temporal resolution. The CERES data were obtained from the NASA Langley Research Center CERES ordering tool at http://ceres.larc.nasa.gov/. The OISST-AVHRR and WOA data were obtained from the National Centers for Environmental Information data center at https://www.ncdc.noaa.gov/oisst and https://www.nodc.noaa.gov/OC5/woa13/, respectively. The research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST). We thank the KAUST Supercomputing Laboratory for providing computer resources. The data used are listed in the references, tables, and supplements. The model, initial and boundary conditions, dust optical properties and other data necessary to reproduce the simulations are publicly available through KAUST Repository at http://hdl.handle.net/10754/626734.
dc.publisherAmerican Geophysical Union (AGU)
dc.relation.urlhttp://onlinelibrary.wiley.com/doi/10.1002/2017JC013335/abstract
dc.rightsThis is the peer reviewed version of the following article: Simulating the Regional Impact of Dust on the Middle East Climate and the Red Sea, which has been published in final form at http://doi.org/10.1002/2017jc013335. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
dc.titleSimulating the Regional Impact of Dust on the Middle East Climate and the Red Sea
dc.typeArticle
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalJournal of Geophysical Research: Oceans
dc.eprint.versionPost-print
kaust.personOsipov, Sergey
kaust.personStenchikov, Georgiy L.
dc.relation.issupplementedbyHandle:http://hdl.handle.net/10754/626734
refterms.dateFOA2018-07-19T00:00:00Z
display.relations<b>Is Supplemented By:</b><br/> <ul><li><i>[Dataset]</i> <br/> Osipov, S., & Stenchikov, G. L. (2018). Dust impact on the Red Sea modelling framework and supporting data. KAUST Repository. Dataset. Available at: http://hdl.handle.net/10754/626734. Handle: <a href="http://hdl.handle.net/10754/626734" >10754/626734</a></a></li></ul>
dc.date.published-online2018-02-07
dc.date.published-print2018-02


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