Identification

Title

Estimates of daily river flows for 95 catchments in Great Britain from the GR6J model under present and future climate scenarios, using large ensemble climate model driving data

Abstract

This dataset contains GR6J (which stands for modèle du Génie Rural à 6 paramètres Journalier) modelled daily river flow time series for 95 river catchments in Great Britain and driving data (precipitation and potential evapotranspiration calculated from temperature) from the EC-Earth Single Model Initial Condition Large Ensemble (SMILE) climate model. The large ensemble is based on the EC-Earth Global Climate Model (GCM) v2.3 and is run for present day (equivalent to present day climate with observed global mean surface temperature for the period 2011-2015) and pre-industrial plus 2°C and 3°C global warming conditions. In total, they make up 2000 years of data for each global warming level (i.e. 16 ensemble members x 25 realizations x 5 years = 2000 years). All ensemble members are pooled to form a continuous 2000-year time series of meteorological input and daily modelled river flows. Full details about this dataset can be found at https://doi.org/10.5285/d966ae7f-a29b-4c57-835d-f4efd0d65c88

Resource type

dataset

Resource locator

https://catalogue.ceh.ac.uk/datastore/eidchub/d966ae7f-a29b-4c57-835d-f4efd0d65c88

name: Download the data

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/d966ae7f-a29b-4c57-835d-f4efd0d65c88.zip

name: Supporting information

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

function: information

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/d966ae7f-a29b-4c57-835d-f4efd0d65c88

codeSpace

doi:

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

Hydrography

originating controlled vocabulary

title

GEMET - INSPIRE themes, version 1.0

reference date

date type

publication

effective date

2008-06-01

Keyword set

keyword value

Climate change

large ensemble

hydrology

Great Britain

Geographic location

West bounding longitude

-8.648

East bounding longitude

1.768

North bounding latitude

60.861

South bounding latitude

49.864

Temporal reference

Temporal extent

Begin position

2030-01-01

End position

2154-12-25

Dataset reference date

date type

publication

effective date

2023-03-07

Frequency of update

Quality and validity

Lineage

The GR6J hydrological model (which stands for modèle du Génie Rural à 6 paramètres Journalier) is used to simulate river flows at 95 river catchments driven by the pooled continuous 2000-years input data (precipitation and potential evapotranspiration) from the EC-Earth large ensemble. Simulated river flows is obtained from using the best performing model run for each river catchment to drive GR6J hydrological models for each catchment. This dataset is produced as part of a PhD studentship supported by the Natural Environment Research Council via the SCENARIO Doctoral Training Partnership (grant no. NE/S007261/1).

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

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

Comma-separated values (CSV)

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

If you reuse this data, you should cite: Chan, W., Arnell, N., Darch, G., Facer-Childs, K., Shepherd, T., Tanguy, M. , van der Wiel, K. (2023). Estimates of daily river flows for 95 catchments in Great Britain from the GR6J model under present and future climate scenarios, using large ensemble climate model driving data. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/d966ae7f-a29b-4c57-835d-f4efd0d65c88

Responsible organisations

Responsible party

organisation name

University of Reading

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

University of Reading

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

Anglian Water

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

UK Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

University of Reading

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

UK Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

Royal Netherlands Meteorological Institute (KNMI)

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

University of Reading

email address

enquiries@ceh.ac.uk

responsible party role

pointOfContact

Responsible party

organisation name

NERC EDS Environmental Information Data Centre

email address

enquiries@ceh.ac.uk

responsible party role

custodian

Responsible party

organisation name

NERC EDS Environmental Information Data Centre

email address

enquiries@ceh.ac.uk

responsible party role

publisher

Responsible party

organisation name

University of Reading

email address

enquiries@ceh.ac.uk

responsible party role

owner

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

UK

email address

info@eidc.ac.uk

responsible party role

pointOfContact

Metadata date

2023-03-14T16:14:30

Metadata language

eng