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

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 their role in global-scale processes and cycles, e....

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Published in:Geoscientific Model Development
Main Authors: Holt, J, Hyder, P, Ashworth, M, Harle, J, Hewitt, HT, Liu, H, New, AL, Pickles, S, Porter, A, Popova, E, Allen, JI, Siddorn, J, Wood, R
Format: Article in Journal/Newspaper
Language:English
Published: European Geosciences Union 2017
Subjects:
Online Access:https://plymsea.ac.uk/id/eprint/8133/
https://plymsea.ac.uk/id/eprint/8133/1/gmd-10-499-2017.pdf
https://doi.org/10.5194/gmd-10-499-2017
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spelling ftplymouthml:oai:plymsea.ac.uk:8133 2024-01-14T10:09:10+01:00 Prospects for improving the representation of coastal and shelf seas in global ocean models Holt, J Hyder, P Ashworth, M Harle, J Hewitt, HT Liu, H New, AL Pickles, S Porter, A Popova, E Allen, JI Siddorn, J Wood, R 2017-02-01 text https://plymsea.ac.uk/id/eprint/8133/ https://plymsea.ac.uk/id/eprint/8133/1/gmd-10-499-2017.pdf https://doi.org/10.5194/gmd-10-499-2017 en eng European Geosciences Union https://plymsea.ac.uk/id/eprint/8133/1/gmd-10-499-2017.pdf Holt, J, Hyder, P, Ashworth, M, Harle, J, Hewitt, HT, Liu, H, New, AL, Pickles, S, Porter, A, Popova, E, Allen, JI, Siddorn, J and Wood, R 2017 Prospects for improving the representation of coastal and shelf seas in global ocean models. Geoscientific Model Development, 10 (1). 499-523. https://doi.org/10.5194/gmd-10-499-2017 <https://doi.org/10.5194/gmd-10-499-2017> cc_by Publication - Article PeerReviewed 2017 ftplymouthml https://doi.org/10.5194/gmd-10-499-2017 2023-12-15T00:08:17Z 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 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 briefly characterise the problem, and then to identify 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 still reasonably well resolved at 1∕4°; 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. In terms of finer-scale processes, we find that a 1∕12° global model resolves the first baroclinic Rossby radius for only ∼ 8% of regions < 500m deep, but this increases to ∼ 70% for a 1∕72° model, so resolving scales globally requires substantially finer resolution than the current state of the art. We quantify the benefit of improved resolution and process representation using 1∕12° global- and basin-scale northern North Atlantic nucleus for a European model of the ocean (NEMO) simulations; the latter includes tides and a k-ε vertical mixing scheme. These are compared with global stratification observations and 19 models from CMIP5. In terms of correlation and basin-wide rms error, the high-resolution models outperform all these CMIP5 models. The model with tides shows improved seasonal cycles compared to the high-resolution model without tides. The benefits of resolution are particularly ... Article in Journal/Newspaper North Atlantic Plymouth Marine Science Electronic Archive (PlyMSEA - Plymouth Marine Laboratory, PML) Geoscientific Model Development 10 1 499 523
institution Open Polar
collection Plymouth Marine Science Electronic Archive (PlyMSEA - Plymouth Marine Laboratory, PML)
op_collection_id ftplymouthml
language English
description 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 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 briefly characterise the problem, and then to identify 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 still reasonably well resolved at 1∕4°; 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. In terms of finer-scale processes, we find that a 1∕12° global model resolves the first baroclinic Rossby radius for only ∼ 8% of regions < 500m deep, but this increases to ∼ 70% for a 1∕72° model, so resolving scales globally requires substantially finer resolution than the current state of the art. We quantify the benefit of improved resolution and process representation using 1∕12° global- and basin-scale northern North Atlantic nucleus for a European model of the ocean (NEMO) simulations; the latter includes tides and a k-ε vertical mixing scheme. These are compared with global stratification observations and 19 models from CMIP5. In terms of correlation and basin-wide rms error, the high-resolution models outperform all these CMIP5 models. The model with tides shows improved seasonal cycles compared to the high-resolution model without tides. The benefits of resolution are particularly ...
format Article in Journal/Newspaper
author Holt, J
Hyder, P
Ashworth, M
Harle, J
Hewitt, HT
Liu, H
New, AL
Pickles, S
Porter, A
Popova, E
Allen, JI
Siddorn, J
Wood, R
spellingShingle Holt, J
Hyder, P
Ashworth, M
Harle, J
Hewitt, HT
Liu, H
New, AL
Pickles, S
Porter, A
Popova, E
Allen, JI
Siddorn, J
Wood, R
Prospects for improving the representation of coastal and shelf seas in global ocean models
author_facet Holt, J
Hyder, P
Ashworth, M
Harle, J
Hewitt, HT
Liu, H
New, AL
Pickles, S
Porter, A
Popova, E
Allen, JI
Siddorn, J
Wood, R
author_sort Holt, J
title Prospects for improving the representation of coastal and shelf seas in global ocean models
title_short Prospects for improving the representation of coastal and shelf seas in global ocean models
title_full Prospects for improving the representation of coastal and shelf seas in global ocean models
title_fullStr Prospects for improving the representation of coastal and shelf seas in global ocean models
title_full_unstemmed Prospects for improving the representation of coastal and shelf seas in global ocean models
title_sort prospects for improving the representation of coastal and shelf seas in global ocean models
publisher European Geosciences Union
publishDate 2017
url https://plymsea.ac.uk/id/eprint/8133/
https://plymsea.ac.uk/id/eprint/8133/1/gmd-10-499-2017.pdf
https://doi.org/10.5194/gmd-10-499-2017
genre North Atlantic
genre_facet North Atlantic
op_relation https://plymsea.ac.uk/id/eprint/8133/1/gmd-10-499-2017.pdf
Holt, J, Hyder, P, Ashworth, M, Harle, J, Hewitt, HT, Liu, H, New, AL, Pickles, S, Porter, A, Popova, E, Allen, JI, Siddorn, J and Wood, R 2017 Prospects for improving the representation of coastal and shelf seas in global ocean models. Geoscientific Model Development, 10 (1). 499-523. https://doi.org/10.5194/gmd-10-499-2017 <https://doi.org/10.5194/gmd-10-499-2017>
op_rights cc_by
op_doi https://doi.org/10.5194/gmd-10-499-2017
container_title Geoscientific Model Development
container_volume 10
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container_start_page 499
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