cf66055440344d7eb9b6f834e81736c6 English 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 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 2026-04-30T02:29:06 UK GEMINI 2.3 WGS 84 CS-NOW: Gridded future projections of natural and artificially influenced river flows (1980 to 2080) 2025-01-22T16:35:05 publication 2025-01-22T16:35:05 creation https://catalogue.ceda.ac.uk/uuid/cf66055440344d7eb9b6f834e81736c6 cf66055440344d7eb9b6f834e81736c6 NERC EDS Centre for Environmental Data Analysis 10.5285/cf66055440344d7eb9b6f834e81736c6 doi The Grid-to-Grid (G2G) river flow model projections comprise an ensemble of natural and artificially influenced (AI) estimates of daily mean river flows (m3s-1). These flow projections are for a historical and future period spanning 1st December 1980 to 30th November 2080 and reflect scenarios of change in both climate and artificial (anthropogenic) influences (abstractions and discharges). The historical and future projections are available in two formats: (i) 1 km × 1 km gridded daily mean river flows (m3s-1) for two spatial regions: Natural river flows across Great Britain, and Artificially influenced river flows across England (ii) Time series of daily flows for 626 catchments across England The climate projections consist of an ensemble of bias-corrected UKCP18 Regional Climate Model (RCM) output. A further 4 hydrological connectivity datasets provide flow directions, upstream areas and coastal/gauged locations. Further details are provided in a linked Data Document. Three future scenarios of artificial influences are considered: (a) Sustainability (SUS), (b) Business as usual (BAU) and (c) Economic Growth (EG). The dataset is an output from the CS-NOW project (Climate services for a Net Zero resilient world - GOV.UK (www.gov.uk)), commissioned by the UK Department for Energy Security and Net Zero (DESNZ). Publication of these data is also supported by the Natural Environment Research Council award number NE/X019063/1 as part of the Hydro-JULES programme delivering National Capability. Rameshwaran, Ponnambalam Unavailable author Unavailable author Bell, Victoria A. Unavailable author Unavailable author Davies, Helen N. Unavailable author Unavailable author Baron, Helen Unavailable author Unavailable author Keller, Virginie Unavailable author Unavailable author Hannaford, Jamie Unavailable author Unavailable author Rhodes-Smith, Mark 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 notPlanned dataset Hydrology Modelling Daily River Flows Abstractions Discharges Artificial Influences UKCP18 Climate Projection UK CS-N0W CS-NOW Natural River Flows Artificially Influenced River Flows 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 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any 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 -7.486622 2.071173 49.805661 58.703251 1980-12-01T00:00:00 2080-12-01T00:00:00 NetCDF and BADC-CSV 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/cf66055440344d7eb9b6f834e81736c6 CEDA Data Catalogue Page Detail and access information for the resource information http://data.ceda.ac.uk/badc/desnz-cs-now/data/gridded-proj-river-flows DOWNLOAD Download Data download https://doi.org/10.5281/zenodo.10958783 Data documentation No further details. information https://doi.org/10.1029/2021WR029787 Journal Publication: Use of Abstraction and Discharge Data to Improve the Performance of a National-Scale Hydrological Model No further details. information https://assets.publishing.service.gov.uk/media/672359d201ee25b06c4f9987/future-water-resources-hydrological-modelling.pdf Hydrological modelling and artificial influences: performance assessment & future scenarios. CS-NOW-D2 – Future water resources for water intensive energy infrastructure 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 This dataset comprise an ensemble of natural and artificially influenced (AI) estimates of daily mean river flows (m3s-1). These flow projections are for a historical and future period spanning 1st December 1980 to 30th November 2080 and reflect scenarios of change in both climate and artificial (anthropogenic) influences (abstractions and discharges). Data were produced by the project team before archival at EDS-CEDA