Siva Reddy Sanikommu, Samuel Kortas, Jose Carlos Sanchez-Garrido, Ashok Karumuri, Charls Antony, Yixin Wang, Fengchao Yao, Robert J. W. Brewin, Georgios Krokos, Hari Prasad Dasari, Mohamad Mazen Hittawe, Shubha Sathyendranath, Boujemaa Ait-El-Fquih, Yesubabu Viswanadhapalli, Bruce D. Cornuelle, Sabique Langodan, Sarantis Sofianos, Mohammed Abed Hammoud, Omar M. Knio, Samah El Mohtar, Pierre F. J. Lermusiaux, Edriss S. Titi, Raju Attada, Daquan Guo, Shanas Razak, Ganesh Gopalakrishnan, Armin Köhl, Shehzad Afzal, T. R. Akylas, Marie-Fanny Racault, Kostas Tsiaras, Rui Sun, Ravi Kumar Kunchala, Luigi Cavaleri, George Zodiatis, Olivier Le Maitre, Aneesh C. Subramanian, Habib Toye, Leila Issa, George S. Triantafyllou, Trevor Platt, Mohamad El Gharamti, Jingyi Ma, Naila Mohammed Fathi Raboudi, Ivana Cerovecki, Yasser Abualnaja, Khaled Asfahani, Lily G C Genevier, Thang M. Luong, Lawrence J. Pratt, Elamurugu Alias Gokul, Srinivas Desamsetti, Ibrahim Hoteit, Bilel Hadri, Markus Hadwiger, Panagiotis Vasou, Issam Lakkis, Myrl C. Hendershott, Peng Zhan, Vassilis P. Papadopoulos, Dionysios E. Raitsos, Matthew R. Mazloff, John A. Gittings, Clint Dawson, King Abdullah University of Science and Technology (KAUST), Massachusetts Institute of Technology (MIT), University of Texas at Austin [Austin], Saudi Aramco, University of Exeter, Istituto di Scienze Marine [Venezia] (ISMAR-CNR), Istituto di Science Marine (ISMAR ), Consiglio Nazionale delle Ricerche (CNR)-Consiglio Nazionale delle Ricerche (CNR), Scripps Institution of Oceanography (SIO), University of California [San Diego] (UC San Diego), University of California-University of California, National Center for Medium Range Weather ForecastingNational Center for Medium Range Weather Forecasting (NCMRWF), Universidad de Málaga [Málaga] = University of Málaga [Málaga], National Center for Atmospheric Research [Boulder] (NCAR), Université d'Hyderabad, University of Hamburg, Indian Institute of Technology Delhi (IIT Delhi), Lebanese American University (LAU), American University of Beirut [Beyrouth] (AUB), Uncertainty Quantification in Scientific Computing and Engineering (PLATON), Centre de Mathématiques Appliquées - Ecole Polytechnique (CMAP), École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Hellenic Centre for Marine Research (HCMR), Plymouth Marine Laboratory (PML), Plymouth Marine Laboratory, Woods Hole Oceanographic Institution (WHOI), National and Kapodistrian University of Athens (NKUA), University of Colorado [Boulder], University of Cambridge [UK] (CAM), Texas A&M University [College Station], Hellenic Center for Marine Research (HCMR), National Atmospheric Research Laboratory [Tirupathi] (NARL), Indian Space Research Organisation (ISRO), Coastal & Marine Research Laboratory, National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR)-National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Scripps Institution of Oceanography (SIO - UC San Diego), University of California (UC)-University of California (UC), National Atmospheric Research Laboratory [Tirupati] (NARL), Titi, Edriss [0000-0002-5004-1746], and Apollo - University of Cambridge Repository
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.