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Abstract. The marine impacts of climate change on our societieswill be largely felt through coastal waters and shelf seas. These impactsinvolve 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 andlarge-scale transport of physical properties such as heat, which occurwithin the climate system, but global models currently cannot provide detailin the shelf seas. Version 2 of the regional implementation of the Shelf SeaPhysics and Primary Production (S2P3-R v2.0) model bridges the gap betweenglobal projections and local shelf-sea impacts. S2P3-R v2.0 is a highlysimplified coastal shelf model, computationally efficient enough to be runacross the shelf seas of the whole globe. Despite the simplified nature ofthe model, it can display regional skill comparable to state-of-the-artmodels, and at the scale of the global (excluding high latitudes) shelf seas itcan explain &gt;50 % of the interannual sea surface temperature (SST) variability in∼60 % of grid cells and &gt;80 % of interannualvariability in ∼20 % of grid cells. The model can be run atany resolution for which the input data can be supplied, without experttechnical knowledge, and using a modest off-the-shelf computer. Theaccessibility of S2P3-R v2.0 places it within reach of an array of coastalmanagers and policy makers, allowing it to be run routinely once set up andevaluated for a region under expert guidance. The computational efficiencyand relative scientific simplicity of the tool make it ideally suited toeducational applications. S2P3-R v2.0 is set up to be driven directly withoutput from reanalysis products or daily atmospheric output from climatemodels such as those which contribute to the sixth phase of the Climate ModelIntercomparison Project, making it a valuable tool for semi-dynamicaldownscaling of climate projections. The updates introduced into version 2.0of this model are primarily focused around the ability to geographicalrelocate the model, model usability and speed but also scientificimprovements. The value of this model comes from its computationalefficiency, which necessitates simplicity. This simplicity leads to severallimitations, which are discussed in the context of evaluation at regionaland global scales.

S2P3-R v2.0: computationally efficient modelling of shelf seas on regional to global scales