Prospects for improving the representation of coastal and shelf seas in global ocean models

• Published in: Geoscientific Model Development
• Main Authors: Holt, Jason, Hyder, Pat, Ashworth, Mike, Harle, James, Hewitt, Helene T., Liu, Hedong, New, Adrian L., Pickles, Stephen, Porter, Andrew, Popova, Ekaterina, Allen, J. Icarus, Siddorn, John, Wood, Richard
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2017
• Subjects: North Atlantic
• Online Access: http://nora.nerc.ac.uk/id/eprint/515736/; https://nora.nerc.ac.uk/id/eprint/515736/7/gmd-10-499-2017.pdf; http://www.geosci-model-dev.net/10/499/2017/

Accurately representing coastal and shelf seas in global ocean models represents one of the grand challenges of Earth System science. They are regions of immense societal importance, through the goods and services they provide, hazards they pose and through their role in global scale processes and cycles, e.g. carbon fluxes and dense water formation. However, they are poorly represented in the current generation of global ocean models. In this contribution we aim to identify and quantify the important physical processes, and their scales, needed to address this issue in the context of the options available to resolve these scales globally and the evolving computational landscape. We find barotropic and topographic scales are well resolved by the current state-of-the-art model resolutions (e.g. nominal 1/12°) and here the focus is on process representation. We identify tides, vertical coordinates, river inflows and mixing schemes as four areas where modelling approaches can readily be transferred from regional to global modelling with substantial benefit. We demonstrate this through basin scale northern North Atlantic simulations and analysis of global profile data, which particularly shows the need for increased vertical resolution in shallower water. In terms of finer scale processes, we find that a 1/12° global model resolves the 1st baroclinic Rossby Radius for only ~?20?% of regions <?500?m deep, but this increases to ~?90?% for a 1/72° model, so to resolve these scales globally requires substantially finer resolution than the current state-of-the-art. We consider a simple scale analysis and conceptual grid refining approach to explore the balance between the size of a globally refined model and that of multiscale modelling options (e.g. finite element, finite volume or a 2-way nesting approach). We put this analysis in the context of evolving computer systems, using the UK’s national research facility as an example. This doubles in peak performance every ~?1.2 years. Using a simple cost-model compared to ...