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| Oke, Peter R.; Balmaseda, Magdalena A.; Benkiran, Mounir; Cummings, James A.; Dombrowsky, Eric; Fujii, Yosuke; Guinehut, Stéphanie; Larnicol, Gilles; Le Traon, Pierre-yves; Martin, Matthew J.. |
| Global ocean forecast systems, developed under the Global Ocean Data Assimilation Experiment (GODAE), are a powerful means of assessing the impact of different components of the Global Ocean Observing System (GOOS). Using a range of analysis tools and approaches, GODAE systems are useful for quantifying the impact of different observation types on the quality of analyses and forecasts. This assessment includes both existing and future observation platforms. Many important conclusions can be drawn from these studies. It is clear that altimeter data are extremely important for constraining mesoscale variability in ocean forecast systems. The number of altimeters is also important. For example, near-real-time applications need data from four altimeters to... |
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| Ano: 2009 |
URL: http://archimer.ifremer.fr/doc/2009/publication-6813.pdf |
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| Gasparin, Florent; Guinehut, Stephanie; Mao, Chongyuan; Mirouze, Isabelle; Rémy, Elisabeth; King, Robert R.; Hamon, Mathieu; Reid, Rebecca; Storto, Andrea; Le Traon, Pierre-yves; Martin, Matthew J.; Masina, Simona. |
| A coordinated effort, based on observing system simulation experiments (OSSEs), has been carried out by four European ocean forecasting centers for the first time, in order to provide insights on the present and future design of the in situ Atlantic Ocean observing system from a monitoring and forecasting perspective. This multi-system approach is based on assimilating synthetic data sets, obtained by sub-sampling in space and time using an eddy-resolving unconstrained simulation, named the Nature Run. To assess the ability of a given Atlantic Ocean observing system to constrain the ocean model state, a set of assimilating experiments were performed using four global eddy-permitting systems. For each set of experiments, different designs of the in situ... |
| Tipo: Text |
Palavras-chave: Observing system simulation experiment; H2020 AtlantOS project; Argo float; Deep observations; Drifter; Global monitoring and forecasting systems. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00485/59623/62651.pdf |
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