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dc.contributor.authorHalloran, PR
dc.contributor.authorMcWhorter, JK
dc.contributor.authorArellano Nava, B
dc.contributor.authorMarsh, R
dc.contributor.authorSkirving, W
dc.date.accessioned2021-10-21T10:02:46Z
dc.date.issued2021-10-15
dc.description.abstractThe marine impacts of climate change on our societies will be largely felt through coastal waters and shelf seas. These impacts involve sectors as diverse as tourism, fisheries and energy production. Projections of future marine climate change come from global models. Modelling at the global scale is required to capture the feedbacks and large-scale transport of physical properties such as heat, which occur within the climate system, but global models currently cannot provide detail in the shelf seas. Version 2 of the regional implementation of the Shelf Sea Physics and Primary Production (S2P3-R v2.0) model bridges the gap between global projections and local shelf-sea impacts. S2P3-R v2.0 is a highly simplified coastal shelf model, computationally efficient enough to be run across the shelf seas of the whole globe. Despite the simplified nature of the model, it can display regional skill comparable to state-of-the-art models, and at the scale of the global (excluding high latitudes) shelf seas it can explain >50 % of the interannual sea surface temperature (SST) variability in ∼60 % of grid cells and >80 % of interannual variability in ∼20 % of grid cells. The model can be run at any resolution for which the input data can be supplied, without expert technical knowledge, and using a modest off-the-shelf computer. The accessibility of S2P3-R v2.0 places it within reach of an array of coastal managers and policy makers, allowing it to be run routinely once set up and evaluated for a region under expert guidance. The computational efficiency and relative scientific simplicity of the tool make it ideally suited to educational applications. S2P3-R v2.0 is set up to be driven directly with output from reanalysis products or daily atmospheric output from climate models such as those which contribute to the sixth phase of the Climate Model Intercomparison Project, making it a valuable tool for semi-dynamical downscaling of climate projections. The updates introduced into version 2.0 of this model are primarily focused around the ability to geographical relocate the model, model usability and speed but also scientific improvements. The value of this model comes from its computational efficiency, which necessitates simplicity. This simplicity leads to several limitations, which are discussed in the context of evaluation at regional and global scales.en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.description.sponsorshipEuropean Union Horizon 2020en_GB
dc.description.sponsorshipNOAAen_GB
dc.identifier.citationVol. 14, pp. 6177 - 6195en_GB
dc.identifier.doi10.5194/gmd-14-6177-2021
dc.identifier.grantnumberNE/V00865X/1en_GB
dc.identifier.grantnumber820989en_GB
dc.identifier.grantnumberNA19NES4320002en_GB
dc.identifier.urihttp://hdl.handle.net/10871/127535
dc.language.isoenen_GB
dc.publisherEuropean Geosciences Union / Copernicus Publicationsen_GB
dc.relation.urlhttps://github.com/PaulHalloran/S2P3Rv2.0en_GB
dc.relation.urlhttps://github.com/PaulHalloran/S2P3Rv2.0/releases/tag/v1.0.1en_GB
dc.relation.urlhttps://doi.org/10.5281/zenodo.4147559en_GB
dc.relation.urlhttp://doi.org/10.5281/zenodo.4018815en_GB
dc.rights© Author(s) 2021. Open access. This work is distributed under the Creative Commons Attribution 4.0 License.en_GB
dc.titleS2P3-R v2.0: computationally efficient modelling of shelf seas on regional to global scalesen_GB
dc.typeArticleen_GB
dc.date.available2021-10-21T10:02:46Z
dc.descriptionThis is the final version. Available on open access from the European Geosciences Union via the DOI in this recorden_GB
dc.descriptionCode availability: S2P3Rv2.0 is available on GitHub: https://github.com/PaulHalloran/S2P3Rv2.0 (last access: 21 September 2021). The release associated with this paper (https://github.com/PaulHalloran/S2P3Rv2.0/releases/tag/v1.0.1, last access: 21 September 2021​​​​​​​) has been archived on Zenodo with the following DOI: https://doi.org/10.5281/zenodo.4147559 (Halloran, 2020a). The readme file available on GitHub or via the DOI link provides step-by-step instructions for how to install, set up and run the model, and it provides a basic script for analysing the model output. At the bottom of the readme, a worked example is provided to help the user go through the full process from generating model forcing files, running the model and displaying the output with some example data.en_GB
dc.descriptionData availability: The model minus satellite SST data from the global (65∘ S–65∘ N) simulation averaged between 2006 and 2016, from which the global validation has been undertaken in this paper, is archived as NetCDF and csv files to allow potential users to undertake bespoke assessment of the model http://doi.org/10.5281/zenodo.4018815 (Halloran, 2020b).en_GB
dc.identifier.eissn1991-9603
dc.identifier.journalGeoscientific Model Developmenten_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2021-07-22
exeter.funder::European Commissionen_GB
exeter.funder::Natural Environment Research Council (NERC)en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2021-10-15
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-10-21T09:55:33Z
refterms.versionFCDVoR
refterms.dateFOA2021-10-21T10:03:00Z
refterms.panelCen_GB


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© Author(s) 2021. Open access. This work is distributed under
the Creative Commons Attribution 4.0 License.
Except where otherwise noted, this item's licence is described as © Author(s) 2021. Open access. This work is distributed under the Creative Commons Attribution 4.0 License.