Towards an end-to-end analysis and prediction system for weather, climate, and Marine applications in the Red Sea

dc.contributor.author Hoteit, Ibrahim
dc.contributor.author Abualnaja, Yasser
dc.contributor.author Afzal, Shehzad
dc.contributor.author Ait-El-Fquih, Boujemaa
dc.contributor.author Akylas, Triantaphyllos
dc.contributor.author Antony, Charls
dc.contributor.author Dawson, Clint
dc.contributor.author Asfahani, Khaled
dc.contributor.author Brewin, Robert J.
dc.contributor.author Cavaleri, Luigi
dc.contributor.author Cerovecki, Ivana
dc.contributor.author Cornuelle, Bruce
dc.contributor.author Desamsetti, Srinivas
dc.contributor.author Attada, Raju
dc.contributor.author Dasari, Hari
dc.contributor.author Sanchez-Garrido, Jose
dc.contributor.author Genevier, Lily
dc.contributor.author El Gharamti, Mohamad
dc.contributor.author Gittings, John A.
dc.contributor.author Gokul, Elamurugu
dc.contributor.author Gopalakrishnan, Ganesh
dc.contributor.author Guo, Daquan
dc.contributor.author Hadri, Bilel
dc.contributor.author Hadwiger, Markus
dc.contributor.author Hammoud, Mohammed Abed
dc.contributor.author Hendershott, Myrl
dc.contributor.author Hittawe, Mohamad
dc.contributor.author Karumuri, Ashok
dc.contributor.author Knio, Omar
dc.contributor.author Köhl, Armin
dc.contributor.author Kortas, Samuel
dc.contributor.author Krokos, George
dc.contributor.author Kunchala, Ravi
dc.contributor.author Issa, Leila
dc.contributor.author Lakkis, Issam
dc.contributor.author Langodan, Sabique
dc.contributor.author Lermusiaux, Pierre
dc.contributor.author Luong, Thang
dc.contributor.author Ma, Jingyi
dc.contributor.author Le Maitre, Olivier
dc.contributor.author Mazloff, Matthew
dc.contributor.author El Mohtar, Samah
dc.contributor.author Papadopoulos, Vassilis P.
dc.contributor.author Platt, Trevor
dc.contributor.author Pratt, Larry
dc.contributor.author Raboudi, Naila
dc.contributor.author Racault, Marie Fanny
dc.contributor.author Raitsos, Dionysios E.
dc.contributor.author Razak, Shanas
dc.contributor.author Sanikommu, Sivareddy
dc.contributor.author Sathyendranath, Shubha
dc.contributor.author Sofianos, Sarantis
dc.contributor.author Subramanian, Aneesh
dc.contributor.author Sun, Rui
dc.contributor.author Titi, Edriss
dc.contributor.author Toye, Habib
dc.contributor.author Triantafyllou, George
dc.contributor.author Tsiaras, Kostas
dc.contributor.author Vasou, Panagiotis
dc.contributor.author Viswanadhapalli, Yesubabu
dc.contributor.author Wang, Yixin
dc.contributor.author Yao, Fengchao
dc.contributor.author Zhan, Peng
dc.contributor.author Zodiatis, George
dc.date.accessioned 2022-03-26T23:49:41Z
dc.date.available 2022-03-26T23:49:41Z
dc.date.issued 2021-01-01
dc.description.abstract The 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 mega-development 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.
dc.identifier.citation Bulletin of the American Meteorological Society. v.102(1)
dc.identifier.issn 00030007
dc.identifier.uri 10.1175/BAMS-D-19-0005.1
dc.identifier.uri https://journals.ametsoc.org/view/journals/bams/102/1/BAMS-D-19-0005.1.xml
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/2541
dc.title Towards an end-to-end analysis and prediction system for weather, climate, and Marine applications in the Red Sea
dc.type Journal. Article
dspace.entity.type
Files
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Plain Text
Description: