Publications des scientifiques de l'IRD

Balmaseda M. A., Hernandez Fabrice, 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 G., Fujii Y., Good S., Guinehut S., Haines K., Ishikawa Y., Keeley S., Kohls 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 F. (2015). The Ocean Reanalyses Intercomparison Project (ORA-IP). In : GODAE OceanView Part 1. Journal of Operational Oceanography, 8 (Suppl. 1 (no spécial)), p. S80-S97. ISSN 1755-876X.

Titre du document
The Ocean Reanalyses Intercomparison Project (ORA-IP)
Année de publication
2015
Type de document
Article référencé dans le Web of Science WOS:000368117600006
Auteurs
Balmaseda M. A., Hernandez Fabrice, 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 G., Fujii Y., Good S., Guinehut S., Haines K., Ishikawa Y., Keeley S., Kohls 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 F.
In
GODAE OceanView Part 1
Source
Journal of Operational Oceanography, 2015, 8 (Suppl. 1 (no spécial)), p. S80-S97 ISSN 1755-876X
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 mixedlayer-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.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Limnologie physique / Océanographie physique [032]
Localisation
Fonds IRD [F B010066108]
Identifiant IRD
fdi:010066108
Contact