FN Archimer Export Format
PT J
TI Model-Observations Synergy in the Coastal Ocean
BT 
AF De Mey-Frémaux, Pierre
   Ayoub, Nadia
   Barth, Alexander
   Brewin, Robert
   Charria, Guillaume
   Campuzano, Francisco
   Ciavatta, Stefano
   Cirano, Mauro
   Edwards, Christopher A.
   Federico, Ivan
   Gao, Shan
   Garcia Hermosa, Isabel
   Garcia Sotillo, Marcos
   Hewitt, Helene
   Hole, Lars Robert
   Holt, Jason
   King, Robert
   Kourafalou, Villy
   Lu, Youyu
   Mourre, Baptiste
   Pascual, Ananda
   Staneva, Joanna
   Stanev, Emil V.
   Wang, Hui
   Zhu, Xueming
AS 1:1;2:1;3:2;4:3;5:4;6:5;7:3;8:6;9:7;10:8;11:9;12:10;13:10,11;14:12;15:13;16:14;17:12;18:15;19:16;20:17;21:18;22:19;23:19;24:9;25:9;
FF 1:;2:;3:;4:;5:PDG-ODE-LOPS-OC;6:;7:;8:;9:;10:;11:;12:;13:;14:;15:;16:;17:;18:;19:;20:;21:;22:;23:;24:;25:;
C1 Laboratoire d’Etudes en Géophysique et Océanographie Spatiales, Toulouse, France
   GeoHydrodynamics and Environment Research Group, University of Liège, Liège, Belgium
   National Centre for Earth Observation, Plymouth Marine Laboratory, Plymouth, United Kingdom
   Laboratoire d’Océanographie Physique et Spatiale, Plouzané, France
   MARETEC – Marine Environment and Technology Center, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
   Department of Meteorology, Institute of Geosciences, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
   Ocean Sciences Department, University of California, Santa Cruz, Santa Cruz, CA, United States
   Euro-Mediterranean Center on Climate Change, Lecce, Italy
   Key Laboratory of Research on Marine Hazards Forecasting, National Marine Environmental Forecasting Center, Ministry of Natural Resources, Beijing, China
   Mercator Ocean, Ramonville-Saint-Agne, France
   Puertos del Estado, Madrid, Spain
   Met Office, Exeter, United Kingdom
   Norwegian Meteorological Institute, Oslo, Norway
   National Oceanography Centre, University of Southampton, Southampton, United Kingdom
   Department of Ocean Sciences, University of Miami, Miami, FL, United States
   Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, NS, Canada
   Sistema d’Observació i Predicció Costaner de les Illes Balears, Palma de Mallorca, Spain
   IMEDEA (CSIC-UIB), Instituto Mediterráneo de Estudios Avanzados, Esporles, Spain
   Helmholtz Centre for Materials and Coastal Research, Geesthacht, Germany
C2 OBSERV MIDI PYRENEES, FRANCE
   UNIV LIEGE, BELGIUM
   PML, UK
   IFREMER, FRANCE
   UNIV LISBOA, PORTUGAL
   UNIV FED RIO DE JANEIRO UFRJ, BRAZIL
   UNIV CALIF SANTA CRUZ, USA
   CMCC, ITALY
   NMEFC, CHINA
   MERCATOR OCEAN, FRANCE
   PUERTOS DEL ESTADO, SPAIN
   MET OFFICE, UK
   NORWEGIAN METEOROL INST, NORWAY
   NOC, UK
   UNIV MIAMI, USA
   MPO BEDFORD INST OCEANOG, CANADA
   ICTS SOCIB, SPAIN
   IMEDEA, SPAIN
   HZG, GERMANY
SI BREST
SE PDG-ODE-LOPS-OC
UM LOPS
IN WOS Ifremer UMR
   DOAJ
   copubli-france
   copubli-europe
   copubli-int-hors-europe
   copubli-sud
IF 5.247
TC 27
UR https://archimer.ifremer.fr/doc/00508/61961/66050.pdf
LA English
DT Article
DE ;coastal;ocean;observations;models;synergy;synthesis;assimilation;array design
AB Integration of observations of the coastal ocean continuum, from regional oceans to shelf seas and estuaries/deltas with models, can substantially increase the value of observations and enable a wealth of applications. In particular, models can play a critical role at connecting sparse observations, synthesizing them, and assisting the design of observational networks; in turn, whenever available, observations can guide coastal model development. Coastal observations should sample the two-way interactions between nearshore, estuarine and shelf processes and open ocean processes, while accounting for the different pace of circulation drivers, such as the fast atmospheric, hydrological and tidal processes and the slower general ocean circulation and climate scales. Because of these challenges, high-resolution models can serve as connectors and integrators of coastal continuum observations. Data assimilation approaches can provide quantitative, validated estimates of Essential Ocean Variables in the coastal continuum, adding scientific and socioeconomic value to observations through applications (e.g., sea-level rise monitoring, coastal management under a sustainable ecosystem approach, aquaculture, dredging, transport and fate of pollutants, maritime safety, hazards under natural variability or climate change). We strongly recommend an internationally coordinated approach in support of the proper integration of global and coastal continuum scales, as well as for critical tasks such as community-agreed bathymetry and coastline products. 
PY 2019
PD JUN
SO Frontiers In Marine Science
SN 2296-7745
PU Frontiers Media SA
VL 6
IS 436
UT 000476940800002
DI 10.3389/fmars.2019.00436
ID 61961
ER

EF