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

被引：49

作者：

Hoteit, Ibrahim ^{[1
]}

Abualnaja, Yasser ^{[1
]}

Afzal, Shehzad ^{[1
]}

Ait-El-Fquih, Boujemaa ^{[1
]}

Akylas, Triantaphyllos ^{[2
]}

Antony, Charls ^{[1
]}

Dawson, Clint ^{[3
]}

Asfahani, Khaled ^{[4
]}

Brewin, Robert J. ^{[5
]}

Cavaleri, Luigi ^{[6
]}

Cerovecki, Ivana ^{[7
]}

Cornuelle, Bruce ^{[7
]}

Desamsetti, Srinivas ^{[8
]}

Attada, Raju ^{[1
]}

Dasari, Hari ^{[1
]}

Sanchez-Garrido, Jose ^{[9
]}

Genevier, Lily ^{[1
]}

El Gharamti, Mohamad ^{[10
]}

Gittings, John A. ^{[1
]}

Gokul, Elamurugu ^{[1
]}

Gopalakrishnan, Ganesh ^{[7
]}

Guo, Daquan ^{[1
]}

Hadri, Bilel ^{[1
]}

Hadwiger, Markus ^{[1
]}

Hammoud, Mohammed Abed ^{[1
]}

Hendershott, Myrl ^{[7
]}

Hittawe, Mohamad ^{[1
]}

Karumuri, Ashok ^{[11
]}

Knio, Omar ^{[1
]}

Koehl, Armin ^{[12
]}

Kortas, Samuel ^{[1
]}

Krokos, George ^{[1
]}

Kunchala, Ravi ^{[13
]}

Issa, Leila ^{[14
]}

Lakkis, Issam ^{[15
]}

Langodan, Sabique ^{[1
]}

Lermusiaux, Pierre ^{[2
]}

Luong, Thang ^{[1
]}

Ma, Jingyi ^{[1
]}

Le Maitre, Olivier ^{[16
]}

Mazloff, Matthew ^{[7
]}

El Mohtar, Samah ^{[1
]}

Papadopoulos, Vassilis P. ^{[17
]}

Platt, Trevor ^{[18
]}

Pratt, Larry ^{[19
]}

Raboudi, Naila ^{[1
]}

Racault, Marie-Fanny ^{[18
]}

Raitsos, Dionysios E. ^{[20
]}

Razak, Shanas ^{[1
]}

Sanikommu, Sivareddy ^{[1
]}

机构：

[1] Abdullah Univ Sci & Technol, Thuwal, Saudi Arabia

[2] MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[3] Univ Texas Austin, Austin, TX 78712 USA

[4] Saudi Aramco, Damam, Saudi Arabia

[5] Univ Exeter, Penryn, Cornwall, England

[6] Inst Marine Sci, Venice, Italy

[7] Scripps Inst Oceanog, La Jolla, CA USA

[8] Natl Ctr Medium Range Weather Forecasting, Noida, India

[9] Univ Malaga, Malaga, Spain

[10] Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA

[11] Univ Hyderabad, Hyderabad, India

[12] Univ Hamburg, Hamburg, Germany

[13] Indian Inst Technol, Delhi, India

[14] Lebanese Amer Univ, Beirut, Lebanon

[15] Amer Univ Beirut, Beirut, Lebanon

[16] Ecole Polytech, Palaiseau, France

[17] Hellen Ctr Marine Res, Anavissos, Greece

[18] Plymouth Marine Lab, Plymouth, Devon, England

[19] Woods Hole Oceanog Inst, Woods Hole, MA 02543 USA

[20] Natl & Kapodistrian Univ Athens, Athens, Greece

[21] Univ Colorado, Boulder, CO 80309 USA

[22] Univ Cambridge, Cambridge, England

[23] Texas A&M Univ, College Stn, TX USA

[24] Natl Atmospher Res Labs, Gadanki, India

[25] Coastal & Marine Res Lab, Iraklion, NE, Greece

来源：

BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY | 2021年 / 102卷 / 01期

基金：

英国自然环境研究理事会;

关键词：

SEASONAL OVERTURNING CIRCULATION; ENSEMBLE DATA ASSIMILATION; HIGH-RESOLUTION ASSESSMENT; OIL-SPILL MODEL; VISUAL ANALYSIS; SAUDI-ARABIA; MEDSLIK-II; PART; OCEAN; WIND;

D O I：

10.1175/BAMS-D-19-0005.1

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

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.

引用

页码：E99 / E122

页数：24

共 118 条

[1] The State of the Art in Visual Analysis Approaches for Ocean and Atmospheric Datasets [J].

Afzal, S. ;

Hittawe, M. M. ;

Ghani, S. ;

Jamil, T. ;

Knio, O. ;

Hadwiger, M. ;

Hoteit, I .

COMPUTER GRAPHICS FORUM, 2019, 38 (03) :881-907

[2]

AFZAL S., 2019, WORKSH VIS ENV SCI, P25, DOI DOI 10.2312/ENVIRVIS.20191101

[3] Optimal 3D trajectory planning for AUVs using ocean general circulation models [J].

Albarakati, Sultan ;

Lima, Ricardo M. ;

Giraldi, Loic ;

Hoteit, Ibrahim ;

Knio, Omar .

OCEAN ENGINEERING, 2019, 188

[4] THE DATA ASSIMILATION RESEARCH TESTBED A Community Facility [J].

Anderson, Jeffrey ;

Hoar, Tim ;

Raeder, Kevin ;

Liu, Hui ;

Collins, Nancy ;

Torn, Ryan ;

Avellano, Avelino .

BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2009, 90 (09) :1283-1296

[5]

[Anonymous], 2020, J GEOPHYS RES OCEANS, DOI DOI 10.1029/2019JC015611

[6]

[Anonymous], 2003, Centenary Edition of the GEBCO Digital Atlas, published on CD-ROM on behalf of the Intergovernmental Oceanographic Commission and the International Hydrographic Organization as part of the General Bathymetric Chart of the Oceans

[7] Extreme water levels along the central Red Sea coast of Saudi Arabia: processes and frequency analysis [J].