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dc.contributor.authorLuong, Thang
dc.contributor.authorDasari, Hari Prasad
dc.contributor.authorHoteit, Ibrahim
dc.date.accessioned2020-04-27T06:59:21Z
dc.date.available2020-04-27T06:59:21Z
dc.date.issued2020-04-22
dc.date.submitted2018-12-01
dc.identifier.citationLuong, T. M., Dasari, H. P., & Hoteit, I. (2020). Impact of urbanization on the simulation of extreme rainfall in the city of Jeddah, Saudi Arabia. Journal of Applied Meteorology and Climatology. doi:10.1175/jamc-d-19-0257.1
dc.identifier.issn1558-8424
dc.identifier.issn1558-8432
dc.identifier.doi10.1175/jamc-d-19-0257.1
dc.identifier.urihttp://hdl.handle.net/10754/662650
dc.description.abstractThe city of Jeddah, Kingdom of Saudi Arabia is characterized by a hot and arid desert climate. Occasionally, however, extreme precipitation events have led to flooding that caused extensive damage in human life and infrastructure. This study investigates the effect of incorporating an urban canopy model and urban land cover when simulating severe weather events over Jeddah using the Weather Research and Forecasting (WRF) model at a convective-permitting scale (1.5-km resolution). Two experiments were conducted for 10 heavy rainfall events associated with the dominant large-scale patterns favoring convection over Jeddah: (i) an “urban” experiment included the urban canopy model and modern-day land cover, and (ii) a “desert” experiment replaced the city area with its pre-settlement, natural land cover. The results suggest that urbanization plays an important role in modifying rainfall around city area. The “urban” experiment enhances the amount of rainfall by 26% on average over the Jeddah city area comparing to the “desert” experiment in these extreme events. The changes in model-simulated precipitation are primarily tied to a nocturnal heat island effect that modifies the planetary boundary layer and atmospheric instability of the convective events.
dc.description.sponsorshipThis work was funded by King Abdullah University of Science and Technology (KAUST) under the Virtual Red Sea Initiative Grant # REP/1/3268-01-01. The research made use of the Supercomputing Core Laboratory resources at KAUST. Parts of the material in Sections 1 and 2 first appeared in Appendix B of Chapter 2 from (Luong 2015) and are repeated here for the readers' information.
dc.publisherAmerican Meteorological Society
dc.relation.urlhttp://journals.ametsoc.org/doi/10.1175/JAMC-D-19-0257.1
dc.relation.urlhttp://journals.ametsoc.org/doi/pdf/10.1175/JAMC-D-19-0257.1
dc.rights© Copyright 2020 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act September 2010 Page 2 or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC §108, as revised by P.L. 94-553) does not require the AMS’s permission. Republication, systematic reproduction, posting in electronic form, such as on a web site or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. Additional details are provided in the AMS Copyright Policy, available on the AMS Web site located at (http://www.ametsoc.org/) or from the AMS at 617-227-2425 or copyrights@ametsoc.org.
dc.titleImpact of urbanization on the simulation of extreme rainfall in the city of Jeddah, Saudi Arabia
dc.typeArticle
dc.contributor.departmentEarth Fluid Modeling and Prediction Group
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentRed Sea Research Center (RSRC)
dc.identifier.journalJournal of Applied Meteorology and Climatology
dc.rights.embargodate2020-10-22
dc.eprint.versionPublisher's Version/PDF
kaust.personLuong, Thang
kaust.personDasari, Hari Prasad
kaust.personHoteit, Ibrahim
kaust.grant.numberREP/1/3268-01-01
refterms.dateFOA2020-04-27T06:59:53Z
kaust.acknowledged.supportUnitSupercomputing Core Laboratory
dc.date.published-online2020-04-22
dc.date.published-print2020-05


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