The Ocean Reanalyses Intercomparison Project (ORA-IP)

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, G.; Fujii, Y.; Good, S.; Guinehut, S.; Haines, K.; Ishikawa, Y.; Keeley, S.; Köhl, 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.

doi:10.1080/1755876x.2015.1022329

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i

The Ocean Reanalyses Intercomparison Project (ORA-IP)

2015
By Balmaseda, M.A. ; Hernandez, F. ; Storto, A. ; ...
Source: Journal of Operational Oceanography, 8, S80-S97.

[PDF-1.84 MB]

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Journal Title:

Journal of Operational Oceanography
Personal Author:

Balmaseda, M.A. ; Hernandez, F. ; Storto, A. ; Palmer, M.D. ; Alves, O. ; ... More +

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, G. ; Fujii, Y. ; Good, S. ; Guinehut, S. ; Haines, K. ; Ishikawa, Y. ; Keeley, S. ; Köhl, 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. Less -
NOAA Program & Office:

NWS (National Weather Service) ; OAR (Oceanic and Atmospheric Research)

NWS (National Weather Service) ; OAR (Oceanic and Atmospheric Research) Less -
Description:

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.
Source:

Journal of Operational Oceanography, 8, S80-S97.
DOI:

https://doi.org/10.1080/1755876x.2015.1022329
Document Type:

Journal Article
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urn:sha256:4637a2b2e2297386f6f1f92d4059d2799d0d96157fcf5d1444ada046e8b54ded
Download URL:

https://repository.library.noaa.gov/view/noaa/15131/noaa_15131_DS1.pdf
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The Ocean Reanalyses Intercomparison Project (ORA-IP)

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