Ocean Reanalyses: Recent Advances and Unsolved Challenges

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ID: 115522
2019
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Abstract
Ocean reanalyses combine ocean models, atmospheric forcing fluxes, and observations using data assimilation to give a four-dimensional description of the ocean. Metrics assessing their reliability have improved over time, allowing reanalyses to become an important tool in climate services that provide a more complete picture of the changing ocean to end users. Besides climate monitoring and research, ocean reanalyses are used to initialize sub-seasonal to multi-annual predictions, to support observational network monitoring, and to evaluate climate model simulations. These applications demand robust uncertainty estimates and fit-for-purpose assessments, achievable through sustained advances in data assimilation and coordinated inter-comparison activities. Ocean reanalyses face specific challenges: i) dealing with intermittent or discontinued observing networks, ii) reproducing inter-annual variability and trends of integrated diagnostics for climate monitoring, iii) accounting for drift and bias due e.g. to air-sea flux or ocean mixing errors, iv) optimizing initialization and improving performances during periods and in regions with sparse data. Other challenges such as multi-scale data assimilation to reconcile mesoscale and large-scale variability and flow-dependent error characterization for rapidly evolving processes, are amplified in long-term reanalyses. The demand to extend reanalyses backward in time requires tackling all these challenges, especially in the emerging context of earth system reanalyses and coupled data assimilation. This mini-review aims at documenting recent advances from the ocean reanalysis community, discussing unsolved challenges that require sustained activities for maximizing the utility of ocean observations, supporting data rescue and advancing specific research and development requirements for reanalyses.
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andrea2019frontiersocean Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Storto, Andrea;Alvera-Azcárate, Aida;Balmaseda, Magdalena A.;Barth, Alexander;Chevallier, Matthieu;Counillon, Francois;Domingues, Catia M.;Drevillon, Marie;Drillet, Yann;Forget, Gaël;Garric, Gilles;Haines, Keith;Hernandez, Fabrice;Iovino, Doroteaciro;Jackson, Laura C.;Lellouche, Jean-Michel;Masina, Simona;Mayer, Michael;Oke, Peter R.;Penny, Stephen G.;Peterson, K. Andrew;Yang, Chunxue;Zuo, Hao;
Journal frontiers in marine science
Year 2019
DOI
doi:10.3389/fmars.2019.00418
URL
https://dx.doi.org/10.3389/fmars.2019.00418
Keywords
data assimilation uncertainty inter-comparisons observational requirements historical reanalyses

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