| Registro completo |
| Provedor de dados: |
ArchiMer
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| País: |
France
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| Título: |
Towards Comprehensive Observing and Modeling Systems for Monitoring and Predicting Regional to Coastal Sea Level
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| Autores: |
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
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| Data: |
2019-07
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| Ano: |
2019
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| Palavras-chave: |
Coastal sea level
Sea-level trends
Coastal ocean modeling
Coastal impacts
Coastal adaptation
Observational gaps
Integrated observing system
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| Resumo: |
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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| Tipo: |
Text
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| Idioma: |
Inglês
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| Identificador: |
https://archimer.ifremer.fr/doc/00508/61958/66049.pdf
DOI:10.3389/fmars.2019.00437
https://archimer.ifremer.fr/doc/00508/61958/
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| Editor: |
Frontiers Media SA
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| Formato: |
application/pdf
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| Fonte: |
Frontiers In Marine Science (2296-7745) (Frontiers Media SA), 2019-07 , Vol. 6 , N. 437 , P. 25p.
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| Direitos: |
info:eu-repo/semantics/openAccess
restricted use
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