d8ef71eb-3d22-4f98-af15-9d8e046ccb63 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2026-01-09T10:20:31 UK GEMINI 2.3 WGS 84 Ecological risk due to river flow alteration under climate and socioeconomic change scenarios 2014-04-30 publication 2010-01-01 creation 1386846758703 CEH:EIDC: https://catalogue.ceh.ac.uk/id/d8ef71eb-3d22-4f98-af15-9d8e046ccb63 10.5285/d8ef71eb-3d22-4f98-af15-9d8e046ccb63 doi: Laize, C.L.R., Acreman, M.C., Schneider, C., Dunbar, M.J., Houghton-Carr, H.A., Florke, M., Hannah, D.M. (2014). Ecological risk due to river flow alteration under climate and socioeconomic change scenarios. NERC Environmental Information Data Centre 10.5285/d8ef71eb-3d22-4f98-af15-9d8e046ccb63 This dataset contains modelled outputs of the European river network modelled as 33,668 cells (5° longitude by 5° latitude). For each cell, modelled monthly flows were generated for an ensemble of tenscenarios for the 2050s and for the study baseline (naturalized flows for 1961 to 1990). Score classes are categorisation of flow alteration scenarios. Full details about this dataset can be found at https://doi.org/10.5285/d8ef71eb-3d22-4f98-af15-9d8e046ccb63 Laize, C. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk pointOfContact Laize, C.L.R. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-7560-7769 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Acreman, M.C. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-8946-739X ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Schneider, C. Centre for Environmental Systems Research enquiries@ceh.ac.uk author Dunbar, M.J. Centre for Ecology & Hydrology enquiries@ceh.ac.uk author Houghton-Carr, H.A. Centre for Ecology & Hydrology enquiries@ceh.ac.uk author Florke, M. Centre for Environmental Systems Research enquiries@ceh.ac.uk author Hannah, D.M. University of Birmingham enquiries@ceh.ac.uk author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher unknown not planned Environmental Monitoring Facilities Habitats and Biotopes Land Use Bio-geographical Regions theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Climate and climate change Hydrology Modelling Europe streamflow water water levels river flow otherRestrictions Registration is required to access this data otherRestrictions Licence terms and conditions apply otherRestrictions CEH, Centre for Environmental Systems Research and the University of Birmingham must be acknowledged in all resultant publications otherRestrictions If you use this dataset you must acknowledge the following resource: Laize, C.L.R.; Acreman, M.C.; Schneider, C.; Dunbar, M.J.; Houghton-Carr, H.A.; Florke, M.; Hannah, D.M.. 2013 Projected flow alteration and ecological risk for pan-European rivers. River Research and Applications. otherRestrictions If you reuse this data, you should cite: Laize, C.L.R., Acreman, M.C., Schneider, C., Dunbar, M.J., Houghton-Carr, H.A., Florke, M., Hannah, D.M. (2014). Ecological risk due to river flow alteration under climate and socioeconomic change scenarios. NERC Environmental Information Data Centre https://doi.org/10.5285/d8ef71eb-3d22-4f98-af15-9d8e046ccb63 textTable English utf8 inlandWaters 1961-01-01 2050-12-31 -6 29 35 71 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/d8ef71eb-3d22-4f98-af15-9d8e046ccb63 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/d8ef71eb-3d22-4f98-af15-9d8e046ccb63.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset 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 river network was modelled as 33,668 cells (5° longitude; 5°latitude). For each cell, modelled monthly flows were generated for an ensemble of 10 scenarios for the 2050s and for the study baseline (naturalized flows for 1961-1990). These future scenarios consist of combinations of two climate scenarios and four socio-economic water-use scenarios (with a main driver of economy, policy, security or sustainability). Environmental flow implications are assessed using the new Ecological Risk due to Flow Alteration (ERFA) methodology, based on a set of monthly flow regime indicators (MFRIs). Differences in MFRIs between scenarios and baseline are calculated to derive ERFA classes (no, low, medium and high risk), which are based on the number of indicators significantly different from the baseline. ERFA classes are presented as colour-coded pan-European maps. Observed historical climate data for the reference period 1961-1990 were collated from the Climate Research Unit (University of East Anglia, UK). Projected future climate data for the period 2040-2069 (i.e. 2050s) were taken from two Global Circulation Models (GCMs): (i) IPSL-CM4, Institut Pierre Simon Laplace, France (IPCM4 thereafter); and (ii) MIROC3.2, Center for Climate System Research, University of Tokyo, Japan (MIMR thereafter). These two GCMs were chosen after comparing nine GCMs from the IPCC Fourth Assessment (IPCC, 2007); they were considered representative of the variability between GCMs (Bärlund, 2010). For both GCMs, the IPCC SRES A2 emission scenario (IPCC, 2007) was selected. In total, 11 sets of modelled monthly flow series were generated using different combinations of climate data inputs and socio-economic scenarios. Naturalized flows for 1961-1990 were generated by running WaterGAP with the hydrological component only (i.e. no water usage) and the historical climate data from CRU as input.