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    Towards an End-to-End Analysis and Prediction System for Weather, Climate, and Marine Applications in the Red Sea

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    Thumbnail
    Name:
    BAMS_manuscript.pdf
    Size:
    1.897Mb
    Format:
    PDF
    Description:
    Accepted manuscript
    Embargo End Date:
    2021-07-01
    Download
    Type
    Article
    Authors
    Hoteit, Ibrahim cc
    Abualnaja, Yasser
    Afzal, Shehzad
    Ait-El-Fquih, Boujemaa
    Akylas, Triantaphyllos
    Antony, Charls
    Dawson, Clint
    Asfahani, Khaled
    Brewin, Robert J.
    Cavaleri, Luigi
    Cerovecki, Ivana
    Cornuelle, Bruce
    Desamsetti, Srinivas
    Attada, Raju
    Dasari, Hari Prasad cc
    Sanchez-Garrido, Jose
    Genevier, Lily
    El Gharamti, Mohamad
    Gittings, John cc
    Gokul, Elamurugu
    Gopalakrishnan, Ganesh
    Guo, Daquan cc
    Hadri, Bilel
    Hadwiger, Markus cc
    Hammoud, Mohammed Abed
    Hendershott, Myrl
    Hittawe, Mohamad
    Karumuri, Ashok
    Knio, Omar cc
    Köhl, Armin
    Kortas, Samuel
    Krokos, Georgios
    Kunchala, Ravi
    Issa, Leila
    Lakkis, Issam
    Langodan, Sabique cc
    Lermusiaux, Pierre
    Luong, Thang cc
    Ma, Jingyi
    Le Maitre, Olivier
    Mazloff, Matthew
    El Mohtar, Samah
    Papadopoulos, Vassilis P.
    Platt, Trevor
    Pratt, Larry
    Raboudi, Naila Mohammed Fathi cc
    Racault, Marie-Fanny
    Raitsos, Dionysios E.
    Razak, Shanas
    Sanikommu, Siva Reddy cc
    Sathyendranath, Shubha
    Sofianos, Sarantis
    Subramanian, Aneesh
    Sun, Rui
    Titi, Edriss
    Toye, Habib cc
    Triantafyllou, George
    Tsiaras, Kostas
    Vasou, Panagiotis cc
    Viswanadhapalli, Yesubabu
    Wang, Yixin cc
    Yao, Fengchao cc
    Zhan, Peng cc
    Zodiatis, George
    KAUST Department
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Red Sea Research Center (RSRC)
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Beacon Development Company
    Office of the CAO
    Marine Science
    Biological and Environmental Sciences and Engineering (BESE) Division
    Marine Science Program
    King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
    Computational Scientists
    Computer Science Program
    Visual Computing Center (VCC)
    Applied Mathematics and Computational Science Program
    Earth Science and Engineering
    KAUST Grant Number
    CRG
    Date
    2021-01
    Embargo End Date
    2021-07-01
    Permanent link to this record
    http://hdl.handle.net/10754/667241
    
    Metadata
    Show full item record
    Abstract
    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 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.
    Citation
    Hoteit, I., Abualnaja, Y., Afzal, S., Ait-El-Fquih, B., Akylas, T., Antony, C., … Cavaleri, L. (2021). Towards an End-to-End Analysis and Prediction System for Weather, Climate, and Marine Applications in the Red Sea. Bulletin of the American Meteorological Society, 102(1), E99–E122. doi:10.1175/bams-d-19-0005.1
    Sponsors
    Dedicated to the bright memory of Professor Trevor Platt, a pioneer in biological oceanography and a key contributor to Red Sea research. The development of the Red Sea modeling system is being supported by the Virtual Red Sea Initiative and the Competitive Research Grants (CRG) program from the Office of Sponsored Research at KAUST, Saudi Aramco Company through the Saudi ARAMCO Marine Environmental Center at KAUST, and by funds from KAEC, NEOM, and RSP through Beacon Development Company at KAUST.
    Publisher
    American Meteorological Society
    Journal
    Bulletin of the American Meteorological Society
    DOI
    10.1175/bams-d-19-0005.1
    Additional Links
    https://journals.ametsoc.org/view/journals/bams/102/1/BAMS-D-19-0005.1.xml
    ae974a485f413a2113503eed53cd6c53
    10.1175/bams-d-19-0005.1
    Scopus Count
    Collections
    Articles; Biological and Environmental Sciences and Engineering (BESE) Division; Red Sea Research Center (RSRC); Marine Science Program; Applied Mathematics and Computational Science Program; Physical Science and Engineering (PSE) Division; Computer Science Program; Earth Science and Engineering Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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