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  • Copernicus GmbH  (2)
  • EuroSea  (1)
  • Woods Hole Oceanographic Institution  (1)
  • 1
    Publication Date: 2023-09-12
    Description: This report provides recommendations to foster collaboration and cooperation between technologies and disciplines and for implementing truly integrated ocean observing systems. Based on an intensive literature review and a careful examination of different examples of integration in different fields, this work identifies the issues and barriers that must be addressed, and proposes a vision for a real implementation of this ocean integration ambition. This work is a contribution to the implementation of EOOS, a much-needed step forward in Europe, following the international guidance of GOOS.
    Type: Report , NonPeerReviewed , info:eu-repo/semantics/book
    Format: text
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  • 2
    Publication Date: 2022-05-26
    Description: The 2013 Geophysical Fluid Dynamics Summer Study Program theme was Buoyancy- Driven Flows. Professor Paul Linden of the University of Cambridge was the principal lecturer. He ably introduced the topic from simple beginnings to sophisticated models and observations, guiding the audience in the cottage and on the porch through fundamental theory and applications. A number of topics from the lectures resurfaced in the fellows' projects. The first ten chapters of this volume document these lectures, each prepared by pairs of the summer's GFD fellows. Following the principal lecture notes are the written reports of the fellows' own research projects.
    Description: Funding was provided by the Office of Naval Research under Contract No. N00014-09-1-0844 and the National Science Foundation Grant No. OCE-0824636
    Repository Name: Woods Hole Open Access Server
    Type: Technical Report
    Format: application/pdf
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  • 3
    Publication Date: 2023-08-08
    Description: 〈jats:p〉Abstract. The ocean mixed layer is the interface between the ocean interior and the atmosphere or sea ice and plays a key role in climate variability. It is thus critical that numerical models used in climate studies are capable of a good representation of the mixed layer, especially its depth. Here we evaluate the mixed-layer depth (MLD) in six pairs of non-eddying (1∘ grid spacing) and eddy-rich (up to 1/16∘) models from the Ocean Model Intercomparison Project (OMIP), forced by a common atmospheric state. For model evaluation, we use an updated MLD dataset computed from observations using the OMIP protocol (a constant density threshold). In winter, low-resolution models exhibit large biases in the deep-water formation regions. These biases are reduced in eddy-rich models but not uniformly across models and regions. The improvement is most noticeable in the mode-water formation regions of the Northern Hemisphere. Results in the Southern Ocean are more contrasted, with biases of either sign remaining at high resolution. In eddy-rich models, mesoscale eddies control the spatial variability in MLD in winter. Contrary to a hypothesis that the deepening of the mixed layer in anticyclones would make the MLD larger globally, eddy-rich models tend to have a shallower mixed layer at most latitudes than coarser models do. In addition, our study highlights the sensitivity of the MLD computation to the choice of a reference level and the spatio-temporal sampling, which motivates new recommendations for MLD computation in future model intercomparison projects. 〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 4
    Publication Date: 2024-01-20
    Description: 〈jats:p〉Abstract. This study evaluates the impact of increasing resolution on Arctic Ocean simulations using five pairs of matched low- and high-resolution models within the OMIP-2 (Ocean Model Intercomparison Project phase 2) framework. The primary objective is to assess whether a higher resolution can mitigate typical biases in low-resolution models and improve the representation of key climate-relevant variables. We reveal that increasing the horizontal resolution contributes to a reduction in biases in mean temperature and salinity and improves the simulation of the Atlantic water layer and its decadal warming events. A higher resolution also leads to better agreement with observed surface mixed-layer depth, cold halocline base depth and Arctic gateway transports in the Fram and Davis straits. However, the simulation of the mean state and temporal changes in Arctic freshwater content does not show improvement with increased resolution. Not all models achieve improvements for all analyzed ocean variables when spatial resolution is increased so it is crucial to recognize that model numerics and parameterizations also play an important role in faithful simulations. Overall, a higher resolution shows promise in improving the simulation of key Arctic Ocean features and processes, but efforts in model development are required to achieve more accurate representations across all climate-relevant variables. 〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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