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dc.contributor.authorHoteit, I
dc.contributor.authorAbualnaja, Y
dc.contributor.authorAfzal, S
dc.contributor.authorAit-El-Fquih, B
dc.contributor.authorAkylas, T
dc.contributor.authorAntony, C
dc.contributor.authorDawson, C
dc.contributor.authorAsfahani, K
dc.contributor.authorBrewin, RJ
dc.contributor.authorCavaleri, L
dc.contributor.authorCerovecki, I
dc.contributor.authorCornuelle, B
dc.contributor.authorDesamsetti, S
dc.contributor.authorAttada, R
dc.contributor.authorDasari, H
dc.contributor.authorSanchez-Garrido, J
dc.contributor.authorGenevier, L
dc.contributor.authorEl Gharamti, M
dc.contributor.authorGittings, JA
dc.contributor.authorGokul, E
dc.contributor.authorGopalakrishnan, G
dc.contributor.authorGuo, D
dc.contributor.authorHadri, B
dc.contributor.authorHadwiger, M
dc.contributor.authorHammoud, MA
dc.contributor.authorHendershott, M
dc.contributor.authorHittawe, M
dc.contributor.authorKarumuri, A
dc.contributor.authorKnio, O
dc.contributor.authorKöhl, A
dc.contributor.authorKortas, S
dc.contributor.authorKrokos, G
dc.contributor.authorKunchala, R
dc.contributor.authorIssa, L
dc.contributor.authorLakkis, I
dc.contributor.authorLangodan, S
dc.contributor.authorLermusiaux, P
dc.contributor.authorLuong, T
dc.contributor.authorMa, J
dc.contributor.authorLe Maitre, O
dc.contributor.authorMazloff, M
dc.contributor.authorEl Mohtar, S
dc.contributor.authorPapadopoulos, VP
dc.contributor.authorPlatt, T
dc.contributor.authorPratt, L
dc.contributor.authorRaboudi, N
dc.contributor.authorRacault, M-F
dc.contributor.authorRaitsos, DE
dc.contributor.authorRazak, S
dc.contributor.authorSanikommu, S
dc.contributor.authorSathyendranath, S
dc.contributor.authorSofianos, S
dc.contributor.authorSubramanian, A
dc.contributor.authorSun, R
dc.contributor.authorTiti, E
dc.contributor.authorToye, H
dc.contributor.authorTriantafyllou, G
dc.contributor.authorTsiaras, K
dc.contributor.authorVasou, P
dc.contributor.authorViswanadhapalli, Y
dc.contributor.authorWang, Y
dc.contributor.authorYao, F
dc.contributor.authorZhan, P
dc.contributor.authorZodiatis, G
dc.date.accessioned2021-06-30T10:49:10Z
dc.date.issued2021-01-01
dc.description.abstractThe Red Sea, home to the second-longest coral reef system in the world, is a vital resource for the Kingdom of Saudi Arabia. The Red Sea provides 90% of the Kingdom’s potable water by desalinization, supporting tourism, shipping, aquaculture, and fishing industries, which together contribute about 10%–20% of the country’s GDP. All these activities, and those elsewhere in the Red Sea region, critically depend on oceanic and atmospheric conditions. At a time of megadevelopment projects along the Red Sea coast, and global warming, authorities are working on optimizing the harnessing of environmental resources, including renewable energy and rainwater harvesting. All these require high-resolution weather and climate information. Toward this end, we have undertaken a multipronged research and development activity in which we are developing an integrated data-driven regional coupled modeling system. The telescopically nested components include 5-km- to 600-m-resolution atmospheric models to address weather and climate challenges, 4-km- to 50-m-resolution ocean models with regional and coastal configurations to simulate and predict the general and mesoscale circulation, 4-km- to 100-m-resolution ecosystem models to simulate the biogeochemistry, and 1-km- to 50-m-resolution wave models. In addition, a complementary probabilistic transport modeling system predicts dispersion of contaminant plumes, oil spill, and marine ecosystem connectivity. Advanced ensemble data assimilation capabilities have also been implemented for accurate forecasting. Resulting achievements include significant advancement in our understanding of the regional circulation and its connection to the global climate, development, and validation of long-term Red Sea regional atmospheric–oceanic–wave reanalyses and forecasting capacities. These products are being extensively used by academia, government, and industry in various weather and marine studies and operations, environmental policies, renewable energy applications, impact assessment, flood forecasting, and more.en_GB
dc.description.sponsorshipPlymouth Marine Laboratory (PML)en_GB
dc.description.sponsorshipKAUSTen_GB
dc.description.sponsorshipSaudi ARAMCO Companyen_GB
dc.identifier.citationVol. 102, No. 1, pp. E99-E122en_GB
dc.identifier.doi10.1175/bams-d-19-0005.1
dc.identifier.grantnumberA0719.2.SC2en_GB
dc.identifier.urihttp://hdl.handle.net/10871/126244
dc.language.isoenen_GB
dc.publisherAmerican Meteorological Societyen_GB
dc.rights.embargoreasonUnder embargo until 1 July 2021 in compliance with publisher policyen_GB
dc.rights© 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy.en_GB
dc.titleTowards an end-to-end analysis and prediction system for weather, climate, and marine applications in the Red Seaen_GB
dc.typeArticleen_GB
dc.date.available2021-06-30T10:49:10Z
dc.identifier.issn0003-0007
dc.descriptionThis is the final version. Available from the American Meteorological Society via the DOI in this record. en_GB
dc.identifier.journalBulletin of the American Meteorological Societyen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2020-08-28
exeter.funder::Plymouth Marine Laboratory (PML)en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2021-01-01
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-06-30T10:41:05Z
refterms.versionFCDVoR
refterms.panelCen_GB


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