NERC Data Catalogue Service
The percentage of total pasture land, by country, subject to water scarcity in 2050 as estimated from a multi-model ensemble
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Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2019-11-13
- 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 ()
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- Environmental Monitoring Facilities
- Keywords
- Limitations on Public Access
- otherRestrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions
- Other constraints
- © Natural Environment Research Council
- Use constraints
- otherRestrictions
- Use constraints
- otherRestrictions
- Other constraints
- 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
- Distance
- 100000 urn:ogc:def:uom:EPSG::9001
- Topic category
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- Environment
- Farming
))
- Begin date
- 2050-01-01
- End date
- 2050-12-31
- Code
- WGS 84
Distribution Information
- Data format
-
-
Comma-separated values (CSV)
()
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Comma-separated values (CSV)
()
- Resource Locator
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Supporting information
Supporting information available to assist in re-use of this dataset
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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
- Global maps, of the change in annual runoff (%) and water scarcity (index value between 1 – 4, where 1 represents not water scarce and 4 is severely water scarce) were as estimated based on projections from 5 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.
Metadata
- File identifier
- ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f 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
- 2022-05-18T12:37:34
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
