The Global High Frequency Radar Network

被引:107
|
作者
Roarty, Hugh [1 ]
Cook, Thomas [2 ]
Hazard, Lisa [2 ]
George, Doug [3 ]
Harlan, Jack [4 ]
Cosoli, Simone [5 ,6 ]
Wyatt, Lucy [7 ]
Alvarez Fanjul, Enrique [8 ]
Terrill, Eric [2 ]
Otero, Mark [2 ]
Largier, John [3 ]
Glenn, Scott [1 ]
Ebuchi, Naoto [9 ]
Whitehouse, Brian [10 ]
Bartlett, Kevin [11 ]
Mader, Julien [12 ]
Rubio, Anna [12 ]
Corgnati, Lorenzo [13 ]
Mantovani, Carlo [13 ]
Griffa, Annalisa [13 ]
Reyes, Emma [14 ]
Lorente, Pablo [8 ]
Flores-Vidal, Xavier [15 ]
Johanna Saavedra-Matta, Kelly [15 ]
Rogowski, Peter [2 ]
Prukpitikul, Siriluk [16 ]
Lee, Sang-Ho [17 ]
Lai, Jian-Wu [18 ]
Guerin, Charles-Antoine [19 ]
Sanchez, Jorge [20 ]
Hansen, Birgit [21 ]
Grilli, Stephan [22 ]
机构
[1] Rutgers State Univ, Dept Marine & Coastal Sci, New Brunswick, NJ 08901 USA
[2] Scripps Inst Oceanog, Coastal Observing Res & Dev Ctr, La Jolla, CA USA
[3] Univ Calif Davis, Coastal & Marine Sci Inst, Davis, CA 95616 USA
[4] NOAA, US Integrated Ocean Observing Syst Program Off, Silver Spring, MD USA
[5] Univ Western Australia, Ocean Grad Sch, Crawley, WA USA
[6] Univ Western Australia, UWA Oceans Inst, Crawley, WA USA
[7] Univ Sheffield, Sch Math & Stat, Sheffield, S Yorkshire, England
[8] Puertos Estado, Madrid, Spain
[9] Hokkaido Univ, Inst Low Temp Sci, Sapporo, Hokkaido, Japan
[10] OEA Technol Inc, Upper Tantallon, NS, Canada
[11] Ocean Networks Canada, Victoria, BC, Canada
[12] AZTI Marine Res, Pasaia, Spain
[13] Natl Res Council Italy, Inst Marine Sci, Lerici, Italy
[14] ICTS SOCIB, Palma De Mallorca, Spain
[15] Univ Autonoma Baja California, Inst Invest Oceanol, Ensenada, Baja California, Mexico
[16] Geoinformat & Space Technol Dev Agcy, Bangkok, Thailand
[17] Kunsan Natl Univ, Gunsan, South Korea
[18] Taiwan Ocean Res Inst, NARLabs, Taipei, Taiwan
[19] Univ Toulon & Var, Mediterranean Inst Oceanog, Toulon, France
[20] Qualitas Remos, Madrid, Spain
[21] HELZEL Messtech GmbH, Kaltenkirchen, Germany
[22] Univ Rhode Isl, Dept Ocean Engn, Kingston, RI 02881 USA
关键词
remote sensing; high frequency radar; ocean currents; waves; tsunami; boundary currents; ocean observing system; EAST AUSTRALIAN CURRENT; TIME-CORRELATION ALGORITHM; HF RADAR; SURFACE CURRENTS; MEDITERRANEAN SEA; SKILL ASSESSMENT; COASTAL OCEAN; CONTINENTAL-SHELF; DATA ASSIMILATION; TSUNAMI DETECTION;
D O I
10.3389/fmars.2019.00164
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Academic, government, and private organizations from around the globe have established High Frequency radar (hereinafter, HFR) networks at regional or national levels. Partnerships have been established to coordinate and collaborate on a single global HFR network (http://global-hfradar.org/) . These partnerships were established in 2012 as part of the Group on Earth Observations (GEO) to promote HFR technology and increase data sharing among operators and users. The main product of HFR networks are continuous maps of ocean surface currents within 200 km of the coast at high spatial (1-6 km) and temporal resolution (hourly or higher). Cutting-edge remote sensing technologies are becoming a standard component for ocean observing systems, contributing to the paradigm shift toward ocean monitoring. In 2017 the Global HFR Network was recognized by the Joint Technical WMO-IOC Commission for Oceanography and Marine Meteorology (JCOMM) as an observing network of the Global Ocean Observing System (GOOS). In this paper we will discuss the development of the network as well as establishing goals for the future. The U.S. High Frequency Radar Network (HFRNet) has been in operation for over 13 years, with radar data being ingested from 31 organizations including measurements from Canada and Mexico. HFRNet currently holds a collection from over 150 radar installations totaling millions of records of surface ocean velocity measurements. During the past 10 years in Europe, HFR networks have been showing steady growth with over 60 stations currently deployed and many in the planning stage. In Asia and Oceania countries, more than 110 radar stations are in operation. HFR technology can be found in a wide range of applications: for marine safety, oil spill response, tsunami warning, pollution assessment, coastal zone management, tracking environmental change, numerical model simulation of 3-dimensional circulation, and research to generate new understanding of coastal ocean dynamics, depending mainly on each country's coastal sea characteristics. These radar networks are examples of national inter-agency and inter-institutional partnerships for improving oceanographic research and operations. As global partnerships grow, these collaborations and improved data sharing enhance our ability to respond to regional, national, and global environmental and management issues.
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页数:26
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