|
|
|
|
|
| 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. |
| 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... |
| Tipo: Text |
Palavras-chave: Coastal sea level; Sea-level trends; Coastal ocean modeling; Coastal impacts; Coastal adaptation; Observational gaps; Integrated observing system. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00508/61958/66049.pdf |
| |
|
|
| Hewitt, Helene T.; Roberts, Malcolm; Mathiot, Pierre; Biastoch, Arne; Blockley, Ed; Chassignet, Eric P.; Fox-kemper, Baylor; Hyder, Pat; Marshall, David P.; Popova, Ekaterina; Treguier, Anne-marie; Zanna, Laure; Yool, Andrew; Yu, Yongqiang; Beadling, Rebecca; Bell, Mike; Kuhlbrodt, Till; Arsouze, Thomas; Bellucci, Alessio; Castruccio, Fred; Gan, Bolan; Putrasahan, Dian; Roberts, Christopher D.; Van Roekel, Luke; Zhang, Qiuying. |
| Purpose of Review Assessment of the impact of ocean resolution in Earth System models on the mean state, variability, and future projections and discussion of prospects for improved parameterisations to represent the ocean mesoscale. Recent Findings The majority of centres participating in CMIP6 employ ocean components with resolutions of about 1 degree in their full Earth System models (eddy-parameterising models). In contrast, there are also models submitted to CMIP6 (both DECK and HighResMIP) that employ ocean components of approximately 1/4 degree and 1/10 degree (eddy-present and eddy-rich models). Evidence to date suggests that whether the ocean mesoscale is explicitly represented or parameterised affects not only the mean state of the ocean but also... |
| Tipo: Text |
Palavras-chave: Ocean models; Resolution; Parameterisation; Mesoscale; Submesoscale. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00654/76603/77753.pdf |
| |
|
|
| Van Sebille, Erik; Griffies, Stephen M.; Abernathey, Ryan; Adams, Thomas P.; Berloff, Pavel; Biastoch, Arne; Blanke, Bruno; Chassignet, Eric P.; Cheng, Yu; Cotter, Colin J.; Deleersnijder, Eric; Doos, Kristofer; Drake, Henri F.; Drijfhout, Sybren; Gary, Stefan F.; Heemink, Arnold W.; Kjellsson, Joakim; Koszalka, Inga Monika; Lange, Michael; Lique, Camille; Macgilchrist, Graeme A.; Marsh, Robert; Adame, C. Gabriela Mayorga; Mcadam, Ronan; Nencioli, Francesco; Paris, Claire B.; Piggott, Matthew D.; Polton, Jeff A.; Ruehs, Siren; Shah, Syed H. A. M.; Thomas, Matthew; Wang, Jinbo; Wolfram, Phillip J.; Zanna, Laure; Zika, Jan D.. |
| Lagrangian analysis is a powerful way to analyse the output of ocean circulation models and other ocean velocity data such as from altimetry. In the Lagrangian approach, large sets of virtual particles are integrated within the three-dimensional, time-evolving velocity fields. Over several decades, a variety of tools and methods for this purpose have emerged. Here, we review the state of the art in the field of Lagrangian analysis of ocean velocity data, starting from a fundamental kinematic framework and with a focus on large-scale open ocean applications. Beyond the use of explicit velocity fields, we consider the influence of unresolved physics and dynamics on particle trajectories. We comprehensively list and discuss the tools currently available for... |
| Tipo: Text |
Palavras-chave: Ocean circulation; Lagrangian analysis; Connectivity; Particle tracking; Future modelling. |
| Ano: 2018 |
URL: http://archimer.ifremer.fr/doc/00412/52324/53099.pdf |
| |
|
|
|
