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Smith, Gregory C.; Allard, Richard; Babin, Marcel; Bertino, Laurent; Chevallier, Matthieu; Corlett, Gary; Crout, Julia; Davidson, Fraser; Delille, Bruno; Gille, Sarah T.; Hebert, David; Hyder, Patrick; Intrieri, Janet; Lagunas, Jose; Larnicol, Gilles; Kaminski, Thomas; Kater, Belinda; Kauker, Frank; Marec, Claudie; Mazloff, Matthew; Metzger, E. Joseph; Mordy, Calvin; O'Carroll, Anne; Olsen, Steffen M.; Phelps, Michael; Posey, Pamela; Prandi, Pierre; Rehm, Eric; Reid, Phillip; Rigor, Ignatius; Sandven, Stein; Shupe, Matthew; Swart, Sebastiaan; Smedstad, Ole Martin; Solomon, Amy; Storto, Andrea; Thibaut, Pierre; Toole, John; Wood, Kevin; Xie, Jiping; Yang, Qinghua. |
There is a growing need for operational oceanographic predictions in both the Arctic and Antarctic polar regions. In the former, this is driven by a declining ice cover accompanied by an increase in maritime traffic and exploitation of marine resources. Oceanographic predictions in the Antarctic are also important, both to support Antarctic operations and also to help elucidate processes governing sea ice and ice shelf stability. However, a significant gap exists in the ocean observing system in polar regions, compared to most areas of the global ocean, hindering the reliability of ocean and sea ice forecasts. This gap can also be seen from the spread in ocean and sea ice reanalyses for polar regions which provide an estimate of their uncertainty. The... |
Tipo: Text |
Palavras-chave: Polar observations; Operational oceanography; Ocean data assimilation; Ocean modeling; Forecasting; Sea ice; Air-sea-ice fluxes; YOPP. |
Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00512/62379/66650.pdf |
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Roemmich, Dean; Belbéoc, Mathieu; Freeland, Howard; Garzoli, Sylvia; Gould, John; Grant, Fiona; Ignaszewski, Mark; King, Brian; Klein, Birgit; Le Traon, Pierre-yves; Mork, Kjell Arne; Brechner Owens, W; Pouliquen, Sylvie; Ravichandran, Muthalagu; Riser, Stephen; Sterl, Andreas; Suga, Toshio; Suk, Moon-sik; Sutton, Philip; Thierry, Virginie. |
The Global Ocean Data Assimilation Experiment (GODAE [http://www.godae.org]) has spanned a decade of rapid technological development. The ever-increasing volume and diversity of oceanographic data produced by in situ instruments, remote-sensing platforms, and computer simulations have driven the development of a number of innovative technologies that are essential for connecting scientists with the data that they need. This paper gives an overview of the technologies that have been developed and applied in the course of GODAE, which now provides users of oceanographic data with the capability to discover, evaluate, visualize, download, and analyze data from all over the world. The key to this capability is the ability to reduce the inherent complexity of... |
Tipo: Text |
Palavras-chave: GODAE; Argo; Global ocean observing system; Ocean data assimilation. |
Ano: 2009 |
URL: http://archimer.ifremer.fr/doc/00059/17003/14505.pdf |
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