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DOI10.3389/fmars.2019.00437
Towards Comprehensive Observing and Modeling Systems for Monitoring and Predicting Regional to Coastal Sea Level
Ponte, Rui M.1; Carson, Mark2; Cirano, Mauro3; Domingues, Catia M.4; Jevrejeva, Svetlana5,6; Marcos, Marta7; Mitchum, Gary8; van de Wal, R. S. W.9,10; Woodworth, Philip L.5; Ablain, Michael11; Ardhuin, Fabrice12; Ballu, Valerie13; Becker, Melanie13; Benveniste, Jerome14; Birol, Florence15; Bradshaw, Elizabeth5; Cazenave, Anny15,16; De Mey-Fremaux, P.15; Durand, Fabien15; Ezer, Tal17; Fu, Lee-Lueng18; Fukumori, Ichiro18; Gordon, Kathy5; Gravelle, Mederic13; Griffies, Stephen M.19; Han, Weiqing20; Hibbert, Angela5; Hughes, Chris W.5,21; Idier, Deborah22; Kourafalou, Villy H.23; Little, Christopher M.1; Matthews, Andrew5; Melet, Angelique24; Merrifield, Mark25; Meyssignac, Benoit15; Minobe, Shoshiro26; Penduff, Thierry27; Picot, Nicolas28; Piecuch, Christopher29; Ray, Richard D.30; Rickards, Lesley5; Santamaria-Gomez, Alvaro31; Stammer, Detlef2; Staneva, Joanna32; Testut, Laurent13,15; Thompson, Keith33; Thompson, Philip34; Vignudelli, Stefano35; Williams, Joanne5; Williams, Simon D. P.5; Woppelmann, Guy13; Zanna, Laure36; Zhang, Xuebin37
发表日期2019
EISSN2296-7745
卷号6
英文摘要

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.


WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology
来源期刊FRONTIERS IN MARINE SCIENCE
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/100727
作者单位1.Atmospher & Environm Res Inc, Lexington, MA 02421 USA;
2.Univ Hamburg, CEN, Hamburg, Germany;
3.Fed Univ Rio de Janeiro UFRJ, Inst Geoci, Dept Meteorol, Rio De Janeiro, Brazil;
4.Univ Tasmania, CLEX, IMAS, ACE CRC, Hobart, Tas, Australia;
5.Natl Oceanog Ctr, Liverpool, Merseyside, England;
6.Meteorol Serv Singapore, Ctr Climate Res Singapore, Singapore, Singapore;
7.UIB, CSIC, IMEDEA, Esporles, Spain;
8.Univ S Florida, Coll Marine Sci, Tampa, FL USA;
9.Univ Utrecht, Inst Marine & Atmospher Res Utrecht, Utrecht, Netherlands;
10.Univ Utrecht, Geosci, Phys Geog, Utrecht, Netherlands;
11.MAGELLIUM, Ramonville St Agne, France;
12.Univ Western Brittany, LOPS, CNRS, IRD,Ifremer,IUEM, Brest, France;
13.Univ La Rochelle, CNRS, LIENSs, La Rochelle, France;
14.European Space Agcy ESA ESRIN, Frascati, Italy;
15.Univ Toulouse, LEGOS CNES, CNRS, IRD, Toulouse, France;
16.ISSI, Bern, Switzerland;
17.Old Dominion Univ, CCPO, Norfolk, VA USA;
18.Jet Prop Lab, Pasadena, CA USA;
19.Princeton Univ, NOAA, Geophys Fluid Dynam Lab, Atmospher & Ocean Sci Program, Princeton, NJ 08544 USA;
20.Univ Colorado, Dept Atmospher & Ocean Sci, Boulder, CO 80309 USA;
21.Univ Liverpool, Sch Environm Sci, Dept Earth Ocean & Ecol Sci, Liverpool, Merseyside, England;
22.Bur Rech Geol & Minieres, Orleans, France;
23.Univ Miami, RSMAS, Miami, FL USA;
24.Mercator Ocean Int, Ramonville St Agne, France;
25.Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA;
26.Hokkaido Univ, Fac Sci, Dept Earth & Planetary Sci, Sapporo, Hokkaido, Japan;
27.Univ Grenoble Alpes, CNRS, IRD, Grenoble INP,IGE, Grenoble, France;
28.CNES, Toulouse, France;
29.Woods Hole Oceanog Inst, Woods Hole, MA 02543 USA;
30.NASA, Goddard Space Flight Ctr, Geodesy & Geophys Lab, Greenbelt, MD USA;
31.Univ Toulouse, GET, CNRS, IRD,UPS, Toulouse, France;
32.Helmholtz Zentrum Geesthacht, Inst Coastal Res, Geesthacht, Germany;
33.Dalhousie Univ, Dept Oceanog, Halifax, NS, Canada;
34.Univ Hawaii Manoa, Dept Oceanog, Honolulu, HI 96822 USA;
35.CNR, Pisa, Italy;
36.Univ Oxford, Dept Phys, Clarendon Lab, Oxford, England;
37.CSIRO Oceans & Atmosphere, Ctr Southern Hemisphere Oceans Res, Hobart, Tas, Australia
推荐引用方式
GB/T 7714
Ponte, Rui M.,Carson, Mark,Cirano, Mauro,et al. Towards Comprehensive Observing and Modeling Systems for Monitoring and Predicting Regional to Coastal Sea Level[J],2019,6.
APA Ponte, Rui M..,Carson, Mark.,Cirano, Mauro.,Domingues, Catia M..,Jevrejeva, Svetlana.,...&Zhang, Xuebin.(2019).Towards Comprehensive Observing and Modeling Systems for Monitoring and Predicting Regional to Coastal Sea Level.FRONTIERS IN MARINE SCIENCE,6.
MLA Ponte, Rui M.,et al."Towards Comprehensive Observing and Modeling Systems for Monitoring and Predicting Regional to Coastal Sea Level".FRONTIERS IN MARINE SCIENCE 6(2019).
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