Note
Documentation below is provided as is. The dataset the documentation below relates to is no longer supported and will be removed from the Climate Data Store (CDS) at a later date.

Contributors: A. Hall (TVUK), J. Marsh (TVUK), J. Clark (Plymouth Marine Laboratory), S. Kay (Plymouth Marine Laboratory), J. A. Fernandes (AZTI)

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	Introduction
	Introduction

Introduction

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The Northeast Atlantic domain (NEMO model)
- - - CMIP5 driving model: Met Office Hadley Centre (MOHC) Hadley Global Environment Model 2 – Earth System (HadGEM2-ES). Further information regarding the model is available here: https://portal.enes.org/models/earthsystem-models/metoffice-+%20hadley-centre/hadgem2-es
    - Regional climate model: SMHI RCA4, as for the pan-European domain
    - Greenhouse gas concentration scenarios: RCP 4.5 and RCP 8.5
    - Variables: 6 hourly surface forcing 10 m wind components, sea level pressure, 2 m air temperature and relative humidity, daily precipitation, shortwave and longwave radiation flux and cloud cover
The pan-European domain (POLCOMS model)
- - - CMIP5 driving model: Max Planck Institute-Earth System Model-Low Resolution (MPI-ESM-LR). Further information regarding the model is available here: https://www.mpimet.mpg.de/en/science/models/mpi-esm/
    - Regional climate model: Swedish Meteorological and Hydrological Institute Rossby Centre Regional Atmospheric Model. Further information regarding the model is available here: https://www.smhi.se/en/research/research-departments/climate-research-at-the-rossby-centre/rca4-nemo-a-high-resolution-regional-coupled-model-system-1.121105
    - Greenhouse gas concentration scenarios: RCP 4.5 and RCP 8.5
    - Variables: 6 hourly surface forcing 10 m wind components, sea level pressure, 2 m air temperature and relative humidity, daily precipitation, shortwave and longwave radiation flux and cloud cover

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There is also a good spatial and temporal match between modelled and satellite-derived sea surface temperature. The reanalysis-driven run of the model tends to overestimate sea surface temperature in shelf waters, especially in the spring and summer. The GCM-driven run has higher bias, and over-estimates winter temperatures in much of the region. This is in line with the biases in the HadGEM2-ES model driving the model. Model-satellite correlation is high in all regions, though rather lower for the GCM-driven run: as noted above, a climate model is not expected to accurately reproduce conditions month-by-month, even in a hindcast.
Copernicus Climate Change Service

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_{This document has been produced in the context of the Copernicus Climate Change Service (C3S).}

_{The activities leading to these results have been contracted by the European Centre for Medium-Range Weather Forecasts, operator of C3S on behalf of the European Union (Delegation} agreement _{Agreement signed on 11/11/2014 and Contribution Agreement signed on 22/07/2021). All information in this document is provided "as is" and no guarantee or warranty is given that the information is fit for any particular purpose.}

_{The users thereof use the information at their sole risk and liability. For the avoidance of all doubt , the European Commission and the European Centre for Medium - Range Weather Forecasts have no liability in respect of this document, which is merely representing the author's view.}

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