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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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    Article (11.23Mb)
    Date
    2021-01-01
    Author
    Hoteit, Ibrahim  Concept link
    Abualnaja, Yasser  Concept link
    Afzal, Shehzad  Concept link
    Ait-El-Fquih, Boujemaa  Concept link
    Akylas, Triantaphyllos  Concept link
    Antony, Charls  Concept link
    Dawson, Clint N.  Concept link
    Asfahani, Khaled  Concept link
    Brewin, Robert J. W.  Concept link
    Cavaleri, Luigi  Concept link
    Cerovecki, Ivana  Concept link
    Cornuelle, Bruce D.  Concept link
    Desamsetti, Srinivas  Concept link
    Attada, Raju  Concept link
    Dasari, Hari  Concept link
    Sanchez-Garrido, Jose  Concept link
    Genevier, Lily  Concept link
    El Gharamti, Mohamad  Concept link
    Gittings, John A.  Concept link
    Gokul, Elamurugu  Concept link
    Gopalakrishnan, Ganesh  Concept link
    Guo, Daquan  Concept link
    Hadri, Bilel  Concept link
    Hadwiger, Markus  Concept link
    Hammoud, Mohammed Abed  Concept link
    Hendershott, Myrl  Concept link
    Hittawe, Mohamad  Concept link
    Karumuri, Ashok  Concept link
    Knio, Omar  Concept link
    Kohl, Armin  Concept link
    Kortas, Samuel  Concept link
    Krokos, George  Concept link
    Kunchala, Ravi  Concept link
    Issa, Leila  Concept link
    Lakkis, Issam  Concept link
    Langodan, Sabique  Concept link
    Lermusiaux, Pierre F. J.  Concept link
    Luong, Thang  Concept link
    Ma, Jingyi  Concept link
    Le Maitre, Olivier  Concept link
    Mazloff, Matthew R.  Concept link
    El Mohtar, Samah  Concept link
    Papadopoulos, Vassilis P.  Concept link
    Platt, Trevor  Concept link
    Pratt, Lawrence J.  Concept link
    Raboudi, Naila  Concept link
    Racault, Marie-Fanny  Concept link
    Raitsos, Dionysios E.  Concept link
    Razak, Shanas  Concept link
    Sanikommu, Sivareddy  Concept link
    Sathyendranath, Shubha  Concept link
    Sofianos, Sarantis S.  Concept link
    Subramanian, Aneesh C.  Concept link
    Sun, Rui  Concept link
    Titi, Edriss  Concept link
    Toye, Habib  Concept link
    Triantafyllou, George  Concept link
    Tsiaras, Kostas  Concept link
    Vasou, Panagiotis  Concept link
    Viswanadhapalli, Yesubabu  Concept link
    Wang, Yixin  Concept link
    Yao, Fengchao  Concept link
    Zhan, Peng  Concept link
    Zodiatis, George  Concept link
    Metadata
    Show full item record
    Citable URI
    https://hdl.handle.net/1912/27440
    As published
    https://doi.org/10.1175/BAMS-D-19-0005.1
    DOI
    10.1175/BAMS-D-19-0005.1
    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.
    Description
    Author Posting. © American Meteorological Society, 2021. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Bulletin of the American Meteorological Society 102(1), (2021): E99-E122, https://doi.org/10.1175/BAMS-D-19-0005.1.
    Collections
    • Physical Oceanography (PO)
    Suggested Citation
    Hoteit, I., Abualnaja, Y., Afzal, S., Ait-El-Fquih, B., Akylas, T., Antony, C., Dawson, C., Asfahani, K., Brewin, R. J., Cavaleri, L., Cerovecki, I., Cornuelle, B., Desamsetti, S., Attada, R., Dasari, H., Sanchez-Garrido, J., Genevier, L., El Gharamti, M., Gittings, J. A., Gokul, E., Gopalakrishnan, G., Guo, D., Hadri, B., Hadwiger, M., Hammoud, M. A., Hendershott, M., Hittawe, M., Karumuri, A., Knio, O., Koehl, A., Kortas, S., Krokos, G., Kunchala, R., Issa, L., Lakkis, I., Langodan, S., Lermusiaux, P., Luong, T., Ma, J., Le Maitre, O., Mazloff, M., El Mohtar, S., Papadopoulos, V. P., Platt, T., Pratt, L., Raboudi, N., Racault, M., Raitsos, D. E., Razak, S., Sanikommu, S., Sathyendranath, S., Sofianos, S., Subramanian, A., Sun, R., Titi, E., Toye, H., Triantafyllou, G., Tsiaras, K., Vasou, P., Viswanadhapalli, Y., Wang, Y., Yao, F., Zhan, P., & Zodiatis, G. (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.
     

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