The Met Office operational global ocean forecast system FOAM-ORCA12

Ana Barbosa Aguiar,Jennifer Waters, Martin Price, Gordon Inverarity, Christine Pequignet, Jan Maksymczuk, Kerry Smout-Day,Matthew Martin, Mike Bell,James While,Robert King,Daniel Lea,John Siddorn

crossref(2021)

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摘要
<div> <p>The importance of oceans for atmospheric forecasts as well as climate simulations is being increasingly recognised with the advent of coupled ocean / atmosphere forecast models. Having comparable resolutions in both domains maximises the benefits for a given computational cost. The Met Office has recently upgraded its operational global ocean-only model from an eddy permitting 1/4 degree tripolar grid (ORCA025) to the eddy resolving 1/12 degree ORCA12 configuration while retaining 1/4 degree data assimilation.&#160;</p> </div><div> <p>We will present a description of the ocean-only ORCA12 system, FOAM-ORCA12, alongside some initial results.&#8239;Qualitatively, FOAM-ORCA12 seems to represent better (than FOAM-ORCA025) the details of mesoscale features in SST and surface currents. Overall, traditional statistical results suggest that the new FOAM-ORCA12 system performs similarly or slightly worse than the pre-existing FOAM-ORCA025. However, it is known that comparisons of models running at different resolutions suffer from a double penalty effect, whereby higher-resolution models are penalised more than lower-resolution models for features that are offset in time and space. Neighbourhood verification methods seek to make a fairer comparison using a common spatial scale for both models and it can be seen that, as neighbourhood sizes increase, ORCA12&#8239;consistently has lower continuous ranked probability scores (CRPS) than&#8239;ORCA025. CRPS measures the accuracy of the pseudo-ensemble created by the neighbourhood method and generalises the mean absolute error measure for deterministic forecasts.&#160;</p> </div><div> <p>The&#160;focus over the next year will be on diagnosing the performance of both the model and assimilation. A planned development that is expected to enhance the system&#160;is the update of the background-error covariances used for data&#160;assimilation.&#160;</p> </div>
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