bd375134bd8c4990a1e9eb6d199cc723 English 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 832677618370457f9e0a85da021c1312 dataset NERC EDS Centre for Environmental Data Analysis 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk pointOfContact 2026-03-15T20:43:04 UK GEMINI 2.3 WGS 84 Physical Marine Climate Projections for the North West European Shelf Seas: EnsStats 2023-06-01T13:25:08 publication 2023-06-01T13:25:08 creation https://catalogue.ceda.ac.uk/uuid/bd375134bd8c4990a1e9eb6d199cc723 bd375134bd8c4990a1e9eb6d199cc723 NERC EDS Centre for Environmental Data Analysis 10.5285/bd375134bd8c4990a1e9eb6d199cc723 doi Ensemble statistics are calculated from the North West Shelf Perturbed Parameter Ensemble (NWSPPE) climatologies. The NWSPPE (https://catalogue.ceda.ac.uk/uuid/edf66239c70c426e9e9f19da1ac8ba87) provides climatological mean and climatological standard deviations for an early-century period (2000-2019) and a late-century period (2079-2098) for each of the 12 NWSPPE ensemble members, for the annual means, and for each month and season of the year. These have been processed into ensemble statistics, for each period (2000-2019, 2079-2098, and the difference 2079-2098minus2000-2019), and for each season and month and for annual means. For the early-century and late-century climatology periods, these ensemble statistics include the ensemble mean, ensemble variance, ensemble standard deviation and interannual variance. These describe the behaviour of the ensemble, including any present day ensemble spread. For the statistics of the difference between the periods (2079-2098minus2000-2019), we simply provide the difference between the ensemble statistics calculated in the near present and end of century period. To allow the user to simply use these data to provide projections, with the associated uncertainty, we also provide two additional statistics, the projected ensemble mean (projensmean) and the projected ensemble standard deviation (projensstd). We remove the early-century climatological mean from the late-century climatological mean, for each ensemble member of the NWEPPE to give an anomaly ensemble. We then calculate the resulting ensemble mean (projensmean) and its standard deviation (projensstd). Nucleus for European Modelling of the Ocean (NEMO) has three model grids, the T, U and V grids, and we output variables in three files, respecting their native model grid. In practice, all our variables are on the T grid, apart from the Eastward and Northward components of the depth mean velocities (DMU, DMV), which are in the U and V grid files respectively. The T grid files have Sea Surface, Near Bed, and the Difference between the surface and bed Temperature and Salinity (SST, NBT, DFT, SSS, NBS, DFS), Potential Energy Anomaly (PEA), Mixed Layer Depth (MLD), the barotropic current magnitude interpolated onto the T grid (DMUV). Tinker, Jonathan Unavailable author Unavailable author NERC EDS Centre for Environmental Data Analysis custodian 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk custodian NERC EDS Centre for Environmental Data Analysis distributor 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk distributor NERC EDS Centre for Environmental Data Analysis point_of_contact 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk pointofContact NERC EDS Centre for Environmental Data Analysis publisher 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk publisher unknown dataset UKCP Marine Climate Uncertainty Climate Downscaling NW European Shelf Seas Shelf Seas Temperature SST Salinity Stratification North Sea Celtic Sea Irish Sea English Channel atmospheric conditions theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication otherRestrictions Public data: access to these data is available to both registered and non-registered users. otherRestrictions Under the following licence https://artefacts.ceda.ac.uk/licences/missing_licence.pdf, appropriate use of these data may fall under unstated use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. grid English climatologyMeteorologyAtmosphere -19.88888 13.0 40.06667 65.00125 1990-01-01T00:00:00 2099-01-01T23:59:59 Data are provided in NetCDF format. NERC EDS Centre for Environmental Data Analysis Data Center Contact 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk distributor https://catalogue.ceda.ac.uk/uuid/bd375134bd8c4990a1e9eb6d199cc723 CEDA Data Catalogue Page Detail and access information for the resource information http://data.ceda.ac.uk/badc/deposited2023/marine-nwsclim/EnsStats DOWNLOAD Download Data download https://www.metoffice.gov.uk/binaries/content/assets/metofficegovuk/pdf/research/ukcp/ukcp18-marine-report-updated.pdf Palmer, M. D., Howard, T. P., Tinker, J., Lowe, J., Bricheno, L., Calvert, D., Edwards, T., Gregory, J. M., Harris, G., Krijnen, J., Roberts, C. D., and Wolf, J.: UKCP18 Marine Report, Met Office Hadley Centre, Exeter, UK., 133 pp., 2018. No further details. information https://doi.org/10.1007/s00382-020-05378-0 Tinker, J., Palmer, M. D., Copsey, D., Howard, T. P., Lowe, J., and Hermans, T. H. J.: Dynamical downscaling of unforced interannual sea-level variability in the North-West European shelf seas, https://doi.org/10.1007/s00382-020-05378-0, 2020. No further details. information dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 The UKCP18 HadGEM3 GC3.05 Perturbed Parameter Ensemble was dynamically downscaled with shelf seas climate version of NEMO 4.0.4 (CO9) to give a set of climate projections. Model output from HadGEM3 GC3.05 was processed into model input for CO9. CO9 was run for each of the 12 ensemble members as transient simulations. The results were assessed against a range of observations, which will be described in Tinker et al. (2023, in prep). The model output was then post-processed into ensemble statistics using the python package available at https://github.com/hadjt/NWS_simulations_postproc. After data and code evaluation, the dataset was supplied for archiving at the Centre for Environmental Data Analysis (CEDA).