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The Role of the Ocean and Ocean Data in Weather Forecasting

Author

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  • Roberto Buizza

    (Centre for Climate Change studies and Sustainable Actions, Scuola Superiore Sant’Anna, Pisa, Italy)

Abstract

In the past decade we have seen an increased convergence between the numerical models used for weather prediction and for climate studies. Today, both operational weather prediction and climate projections are generated with similar coupled models that include all relevant processes of the atmosphere, land surface, cryosphere, and the dynamical ocean. For weather prediction over the sub-seasonal and seasonal time scale, and for decadal predictions, having an accurate estimate of the ocean initial conditions is paramount. To improve the estimate of the ocean initial conditions, many good quality observations that cover the global oceans would be necessary: unfortunately, to date the ocean remains under-observed. In this paper, two key topics are discussed: firstly, the role of coupling a numerical weather prediction to a dynamical ocean model, and secondly the need for more, better quality observations of the ocean.

Suggested Citation

  • Roberto Buizza, 2020. "The Role of the Ocean and Ocean Data in Weather Forecasting," Oceanography & Fisheries Open Access Journal, Juniper Publishers Inc., vol. 12(2), pages 22-28, July.
    • Handle: RePEc:adp:jofoaj:v:12:y:2020:i:2:p:22-28
    DOI: 10.19080/OFOAJ.2020.12.555831
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