Date (Publication)

2019-11-13

Identifier

https://catalogue.ceh.ac.uk/id/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f

Identifier

doi: / 10.5285/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f

Other citation details

Fitton, N., Alexander, P., Arnell, N., Bajzelj, B., Calvin, K., Doelman, J., Gerber, J.S., Havlik, P., Hasegawa, T., Herrero, M., Krisztin, T., van Meijl, H., Powell, T., Sands, R., Stehfest, E., West, P.C., Smith, P. (2019). The percentage of total pasture land, by country, subject to water scarcity in 2050 as estimated from a multi-model ensemble. NERC Environmental Information Data Centre 10.5285/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f

GEMET - INSPIRE themes, version 1.0

• Environmental Monitoring Facilities

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no limitations

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© Natural Environment Research Council

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otherRestrictions Other restrictions

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This resource is available under the terms of the Open Government Licence

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If you reuse this data, you should cite: Fitton, N., Alexander, P., Arnell, N., Bajzelj, B., Calvin, K., Doelman, J., Gerber, J.S., Havlik, P., Hasegawa, T., Herrero, M., Krisztin, T., van Meijl, H., Powell, T., Sands, R., Stehfest, E., West, P.C., Smith, P. (2019). The percentage of total pasture land, by country, subject to water scarcity in 2050 as estimated from a multi-model ensemble. NERC Environmental Information Data Centre https://doi.org/10.5285/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f

Spatial representation type

textTable Text, table

Distance

100000  urn:ogc:def:uom:EPSG::9001

Metadata language

EnglishEnglish

Character set

utf8 UTF8

Topic category

• Environment
• Farming

Begin date

2050-01-01

End date

2050-12-31

Unique resource identifier

WGS 84

Distribution format

• Comma-separated values (CSV) ()

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Supporting information

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

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dataset Dataset

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dataset

Statement

Global maps, of the change in annual runoff (%) and water scarcity (index value between 1and 4, where 1 represents not water scarce and 4 is severely water scarce) were as estimated based on projections from five different general circulation models/ global climate models (GCMs) were obtained directly from Prof. N. Arnell (University of Reading). Global maps of the current cropland area were directly downloaded from www.earthstat.org, which is an open access platform that hosts the most up to date versions of data. Maps of croplands were created based on a mixture of satellite derived data mixed with national, state and country census statistics, and were expressed on a global 5 arc-minute grid. Data used in this study was collected from several sources and cited in the supporting documentation.

File identifier

ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f XML

Metadata language

EnglishEnglish

Character set

ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1

Hierarchy level

dataset Dataset

Hierarchy level name

dataset

Date stamp

2025-03-21T13:23:37

Metadata standard name

UK GEMINI

Metadata standard version

2.3