Identification

Title

Ecological risk due to river flow alteration under climate and socioeconomic change scenarios

Abstract

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

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/data/d8ef71eb-3d22-4f98-af15-9d8e046ccb63

name: Download the data

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/d8ef71eb-3d22-4f98-af15-9d8e046ccb63.zip

name: Supporting information

description: Supporting information available to assist in re-use of this dataset

function: information

Unique resource identifier

code

1386846758703

codeSpace

CEH:EIDC:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

inlandWaters

Keywords

Keyword set

keyword value

Environmental Monitoring Facilities

Habitats and Biotopes

Land Use

Bio-geographical Regions

originating controlled vocabulary

title

GEMET - INSPIRE themes, version 1.0

reference date

date type

publication

effective date

2008-06-01

Keyword set

keyword value

Europe

streamflow

water

water levels

river flow

Geographic location

West bounding longitude

-6

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

1961-01-01

End position

2050-12-31

Dataset reference date

date type

publication

effective date

2014-04-30

date type

creation

effective date

2010-01-01

Frequency of update

unknown

Quality and validity

Lineage

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.

Conformity

Conformity report

specification

title

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

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.

Constraint set

Limitations on public access

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

publisher

Metadata on metadata

Metadata point of contact

organisation name

Environmental Information Data Centre

full postal address

Lancaster Environment Centre, Library Avenue, Bailrigg

Lancaster

LA1 4AP

email address

info@eidc.ac.uk

responsible party role

pointOfContact

Metadata date

2021-06-25T18:34:00

Metadata language

eng