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| Foltz, G. R.; Brandt, P.; Richter, I.; Rodríguez-fonseca, B.; Hernandez, F.; Dengler, M.; Rodrigues, R. R.; Schmidt, J. O.; Yu, L.; Lefevre, N.; Da Cunha, L. Cotrim; Mcphaden, M. J.; Araujo, M.; Karstensen, J.; Hahn, J.; Martín-rey, M.; Patricola, C. M.; Poli, P.; Zuidema, P.; Hummels, R.; Perez, Rc; Hatje, V.; Lübbecke, J. F.; Polo, I.; Lumpkin, R.; Bourlès, Bernard; Asuquo, F. E.; Lehodey, P.; Conchon, A.; Chang, P.; Dandin, P.; Schmid, C.; Sutton, A.; Giordani, H.; Xue, Y.; Illig, S.; Losada, T.; Grodsky, S. A.; Gasparin, F.; Lee, T.; Mohino, E.; Nobre, P.; Wanninkhof, R.; Keenlyside, N.; Garcon, V.; Sánchez-gómez, E.; Nnamchi, H. C.; Drévillon, M.; Storto, A.; Remy, E.; Lazar, A.; Speich, S.; Goes, M.; Dorrington, T.; Johns, W. E.; Moum, J. N.; Robinson, C.; Perruche, Coralie; De Souza, R. B.; Gaye, A. T.; López-parages, J.; Monerie, P.-a.; Castellanos, P.; Benson, N. U.; Hounkonnou, M. N.; Duhá, J. Trotte; Laxenaire, R.; Reul, Nicolas. |
| The tropical Atlantic is home to multiple coupled climate variations covering a wide range of timescales and impacting societally relevant phenomena such as continental rainfall, Atlantic hurricane activity, oceanic biological productivity, and atmospheric circulation in the equatorial Pacific. The tropical Atlantic also connects the southern and northern branches of the Atlantic meridional overturning circulation and receives freshwater input from some of the world’s largest rivers. To address these diverse, unique, and interconnected research challenges, a rich network of ocean observations has developed, building on the backbone of the Prediction and Research Moored Array in the Tropical Atlantic (PIRATA). This network has evolved naturally over time... |
| Tipo: Text |
Palavras-chave: Tropical Atlantic Ocean; Observing system; Weather; Climate; Hurricanes; Biogeochemistry; Ecosystems; Coupled model bias. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00494/60612/64096.pdf |
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| Balmaseda, M. A.; Hernandez, F.; Storto, A.; Palmer, M. D.; Alves, O.; Shi, L.; Smith, G. C.; Toyoda, T.; Valdivieso, M.; Barnier, B.; Behringer, D.; Boyer, T.; Chang, Y-s.; Chepurin, G. A.; Ferry, N.; Forget, Gael; Fujii, Y.; Good, S.; Guinehut, S.; Haines, K.; Ishikawa, Y.; Keeley, S.; Koehls, A.; Lee, T.; Martin, M. J.; Masina, S.; Masuda, S.; Meyssignac, B.; Mogensen, K.; Parent, L.; Peterson, K. A.; Tang, Y. M.; Yin, Y.; Vernieres, G.; Wang, X.; Waters, J.; Wedd, R.; Wang, O.; Xue, Y.; Chevallier, M.; Lemieux, J-f.; Dupont, F.; Kuragano, T.; Kamachi, M.; Awaji, T.; Caltabiano, A.; Wilmer-becker, K.; Gaillard, Fabienne. |
| Uncertainty in ocean analysis methods and deficiencies in the observing system are major obstacles for the reliable reconstruction of the past ocean climate. The variety of existing ocean reanalyses is exploited in a multi-reanalysis ensemble to improve the ocean state estimation and to gauge uncertainty levels. The ensemble-based analysis of signal-to-noise ratio allows the identification of ocean characteristics for which the estimation is robust (such as tropical mixed-layer-depth, upper ocean heat content), and where large uncertainty exists (deep ocean, Southern Ocean, sea ice thickness, salinity), providing guidance for future enhancement of the observing and data assimilation systems. |
| Tipo: Text |
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| Ano: 2015 |
URL: http://archimer.ifremer.fr/doc/00280/39090/37655.pdf |
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