NERC Data Catalogue Service
Ecological risk due to river flow alteration under climate and socioeconomic change scenarios
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
Default
Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2014-04-30
- Dataset Reference Date ()
- 2010-01-01
- Identifier
- CEH:EIDC: / 1386846758703
- Identifier
- doi: / 10.5285/d8ef71eb-3d22-4f98-af15-9d8e046ccb63
- Other citation details
- 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
- Maintenance and update frequency
- unknown
- Maintenance note
- not planned
- GEMET - INSPIRE themes, version 1.0 ()
-
- Environmental Monitoring Facilities
- Habitats and Biotopes
- Land Use
- Bio-geographical Regions
- Keywords
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- Climate and climate change
- Hydrology
- Modelling
- Europe
- streamflow
- water
- water levels
- river flow
- Limitations on Public Access
- otherRestrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions
- Other constraints
- Licence terms and conditions apply
- Use constraints
- otherRestrictions
- Other constraints
- CEH, Centre for Environmental Systems Research and the University of Birmingham must be acknowledged in all resultant publications
- Use constraints
- otherRestrictions
- Other constraints
- 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.
- Use constraints
- otherRestrictions
- Other constraints
- 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
- Spatial representation type
- textTable
- Topic category
-
- Inland waters
N
S
E
W
))
- Begin date
- 1961-01-01
- End date
- 2050-12-31
- Code
- WGS 84
Distribution Information
- Data format
-
-
Comma-separated values (CSV)
()
-
Comma-separated values (CSV)
()
- Resource Locator
-
Download the data
Download a copy of this data
- Resource Locator
-
Supporting information
Supporting information available to assist in re-use of this dataset
- Resource Locator
-
Download the data
Download a copy of this data
- Resource Locator
-
Supporting information
Supporting information available to assist in re-use of this dataset
- Quality Scope
- dataset
- Other
- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
- 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.
Metadata
- File identifier
- d8ef71eb-3d22-4f98-af15-9d8e046ccb63 XML
- Metadata Language
- English (en)
- Character set
- ISO/IEC 8859-1 (also known as Latin 1)
- Resource type
- dataset
- Hierarchy level name
- dataset
- Metadata Date
- 2021-06-25T18:34:00
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
,
Lancaster
,
LA1 4AP
,
UK
