globalchange  > 全球变化的国际研究计划
DOI: 10.3389/fmars.2019.00437
WOS记录号: WOS:000477076500001
论文题名:
Towards Comprehensive Observing and Modeling Systems for Monitoring and Predicting Regional to Coastal Sea Level
作者: 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
通讯作者: Ponte, Rui M.
刊名: FRONTIERS IN MARINE SCIENCE
EISSN: 2296-7745
出版年: 2019
卷: 6
语种: 英语
英文关键词: coastal sea level ; sea-level trends ; coastal ocean modeling ; coastal impacts ; coastal adaptation ; observational gaps ; integrated observing system
WOS关键词: VERTICAL LAND MOTION ; NORTH-ATLANTIC ; INTERCOMPARISON PROJECT ; DATA ASSIMILATION ; EAST-COAST ; ICE-SHELF ; CLIMATE-CHANGE ; OCEAN CIRCULATION ; WAVE CLIMATE ; STORM-SURGE
WOS学科分类: Environmental Sciences ; Marine & Freshwater Biology
WOS研究方向: Environmental Sciences & Ecology ; Marine & Freshwater Biology
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.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/143740
Appears in Collections:全球变化的国际研究计划

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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

Recommended Citation:
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]. FRONTIERS IN MARINE SCIENCE,2019-01-01,6
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