Towards an End-to-End Analysis and Prediction System for Weather, Climate, and Marine Applications in the Red Sea
Brewin, Robert J.
Dasari, Hari Prasad
El Gharamti, Mohamad
Hammoud, Mohammed Abed
Le Maitre, Olivier
El Mohtar, Samah
Papadopoulos, Vassilis P.
Raboudi, Naila Mohammed Fathi
Raitsos, Dionysios E.
Sanikommu, Siva Reddy
KAUST DepartmentApplied Mathematics and Computational Science Program
Beacon Development Company
Biological and Environmental Sciences and Engineering (BESE) Division
Computer Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Earth Fluid Modeling and Prediction Group
Earth Science and Engineering
Earth Science and Engineering Program
Marine Science Program
Office of the CAO
Physical Science and Engineering (PSE) Division
Red Sea Research Center (RSRC)
Visual Computing Center (VCC)
KAUST Grant NumberCRG
Embargo End Date2021-07-01
Permanent link to this recordhttp://hdl.handle.net/10754/667241
MetadataShow full item record
AbstractAbstractThe 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.
CitationHoteit, 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
SponsorsDedicated 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.
PublisherAmerican Meteorological Society