FN Archimer Export Format PT J TI Towards Comprehensive Observing and Modeling Systems for Monitoring and Predicting Regional to Coastal Sea Level BT AF Ponte, Rui M. Carson, Mark Cirano, Mauro Domingues, Catia M. Jevrejeva, Svetlana Marcos, Marta Mitchum, Gary van de Wal, R. S. W. Woodworth, Philip L. Ablain, Michaël ARDHUIN, Fabrice Ballu, Valérie Becker, Mélanie Benveniste, Jérôme Birol, Florence Bradshaw, Elizabeth Cazenave, Anny De Mey-Frémaux, P. Durand, Fabien Ezer, Tal Fu, Lee-Lueng Fukumori, Ichiro Gordon, Kathy Gravelle, Médéric Griffies, Stephen M. Han, Weiqing Hibbert, Angela Hughes, Chris W. Idier, Déborah Kourafalou, Villy H. Little, Christopher M. Matthews, Andrew Melet, Angélique Merrifield, Mark Meyssignac, Benoit Minobe, Shoshiro Penduff, Thierry Picot, Nicolas Piecuch, Christopher Ray, Richard D. Rickards, Lesley Santamaría-Gómez, Alvaro Stammer, Detlef Staneva, Joanna Testut, Laurent Thompson, Keith Thompson, Philip Vignudelli, Stefano Williams, Joanne Williams, Simon D. P. Wöppelmann, Guy Zanna, Laure Zhang, Xuebin AS 1:1;2:2;3:3;4:4;5:5,6;6:7;7:8;8:9;9:5;10:10;11:11;12:12;13:12;14:13;15:14;16:5;17:14,15;18:14;19:14;20:16;21:17;22:17;23:5;24:12;25:18;26:19;27:5;28:5,20;29:21;30:22;31:1;32:5;33:23;34:24;35:14;36:25;37:26;38:27;39:28;40:29;41:5;42:30;43:2;44:31;45:12,14;46:32;47:33;48:34;49:5;50:5;51:12;52:35;53:36; FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;14:;15:;16:;17:;18:;19:;20:;21:;22:;23:;24:;25:;26:;27:;28:;29:;30:;31:;32:;33:;34:;35:;36:;37:;38:;39:;40:;41:;42:;43:;44:;45:;46:;47:;48:;49:;50:;51:;52:;53:; C1 Atmospheric and Environmental Research, Inc., Lexington, MA, United States CEN, Universität Hamburg, Hamburg, Germany Department of Meteorology, Institute of Geociences, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil ACE CRC, IMAS, CLEX, University of Tasmania, Hobart, TAS, Australia National Oceanography Centre, Liverpool, United Kingdom Centre for Climate Research Singapore, Meteorological Service Singapore, Singapore, Singapore IMEDEA (UIB-CSIC), Esporles, Spain College of Marine Science, University of South Florida, Tampa, FL, United States Institute for Marine and Atmospheric Research Utrecht and Geosciences, Physical Geography, Utrecht University, Utrecht, Netherlands MAGELLIUM, Ramonville Saint-Agne, France Laboratoire d’Océanographie Physique et Spatiale (LOPS), CNRS, IRD, Ifremer, IUEM, University of Western Brittany, Brest, France LIENSs, CNRS, Université de La Rochelle, La Rochelle, France European Space Agency (ESA-ESRIN), Frascati, Italy LEGOS CNES, CNRS, IRD, Université de Toulouse, Toulouse, France International Space Science Institute (ISSI), Bern, Switzerland Center for Coastal Physical Oceanography (CCPO), Old Dominion University, Norfolk, VA, United States Jet Propulsion Laboratory, Pasadena, CA, United States NOAA Geophysical Fluid Dynamics Laboratory, Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, NJ, United States Department of Atmospheric and Oceanic Sciences, University of Colorado, Boulder, Boulder, CO, United States Department of Earth, Ocean and Ecological Sciences, School of Environmental Sciences, University of Liverpool, Liverpool, United Kingdom BRGM, Orléans, France RSMAS, University of Miami, Miami, FL, United States Mercator Ocean International, Ramonville-Saint-Agne, France Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, United States Department of Earth and Planetary Sciences, Faculty of Science, Hokkaido University, Sapporo, Japan CNRS, IRD, Grenoble-INP, IGE, Université Grenoble Alpes, Grenoble, France CNES, Toulouse, France Woods Hole Oceanographic Institution, Woods Hole, MA, United States Geodesy and Geophysics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, United States Géosciences Environnement Toulouse (GET), Université de Toulouse, CNRS, IRD, UPS, Toulouse, France Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Geesthacht, Germany Department of Oceanography, Dalhousie University, Halifax, NS, Canada Department of Oceanography, University of Hawai‘i at Mānoa, Honolulu, HI, United States Consiglio Nazionale delle Ricerche (CNR), Pisa, Italy Department of Physics, Clarendon Laboratory, University of Oxford, Oxford, United Kingdom Centre for Southern Hemisphere Oceans Research, CSIRO Oceans and Atmosphere, Hobart, TAS, Australia C2 AER INC, USA UNIV HAMBURG, GERMANY UNIV FED RIO DE JANEIRO UFRJ, BRAZIL ACE CRC, AUSTRALIA NOC, UK CCRS, SINGAPORE IMEDEA, SPAIN UNIV S FLORIDA, USA UNIV UTRECHT, NETHERLANDS MAGELLIUM, FRANCE CNRS, FRANCE CNRS, FRANCE ESA, ITALY CNRS, FRANCE ISSI, SWITZERLAND UNIV OLD DOMINION, USA JET PROP LAB, USA NOAA, USA UNIV COLORADO, USA UNIV LIVERPOOL, UK BRGM, FRANCE UNIV MIAMI, USA MERCATOR OCEAN, FRANCE UNIV CALIF SAN DIEGO, USA UNIV HOKKAIDO, JAPAN CNRS, FRANCE CNES, FRANCE WHOI, USA NASA, USA OBSERV MIDI PYRENEES, FRANCE HZG, GERMANY UNIV DALHOUSIE, CANADA UNIV HAWAII MANOA, USA CNR, ITALY UNIV OXFORD, UK CSIRO, AUSTRALIA UM LOPS IN WOS Cotutelle UMR DOAJ copubli-france copubli-europe copubli-int-hors-europe copubli-sud IF 5.247 TC 48 UR https://archimer.ifremer.fr/doc/00508/61958/66049.pdf LA English DT Article CR NIVMER DE ;coastal sea level;sea-level trends;coastal ocean modeling;coastal impacts;coastal adaptation;observational gaps;integrated observing system AB A major challenge for managing impacts and implementing effective mitigation measures and adaptation strategies for coastal zones affected by future sea level (SL) rise is our limited capacity to predict SL change at the coast on relevant spatial and temporal scales. Predicting coastal SL requires the ability to monitor and simulate a multitude of physical processes affecting SL, from local effects of wind waves and river runoff to remote influences of the large-scale ocean circulation on the coast. Here we assess our current understanding of the causes of coastal SL variability on monthly to multi-decadal timescales, including geodetic, oceanographic and atmospheric aspects of the problem, and review available observing systems informing on coastal SL. We also review the ability of existing models and data assimilation systems to estimate coastal SL variations and of atmosphere-ocean global coupled models and related regional downscaling efforts to project future SL changes. We discuss (1) observational gaps and uncertainties, and priorities for the development of an optimal and integrated coastal SL observing system, (2) strategies for advancing model capabilities in forecasting short-term processes and projecting long-term changes affecting coastal SL, and (3) possible future developments of sea level services enabling better connection of scientists and user communities and facilitating assessment and decision making for adaptation to future coastal SL change. PY 2019 PD JUN SO Frontiers In Marine Science SN 2296-7745 PU Frontiers Media SA VL 6 IS 437 UT 000477076500001 DI 10.3389/fmars.2019.00437 ID 61958 ER EF