Projections of water scarcity in croplands, 2050
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Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2019-07-24
- Dataset Reference Date ()
- 2018-10-19
- Identifier
- doi: / 10.5285/1011037f-4f41-41db-ac7a-0d8e9b8bc933
- Other citation details
- Fitton, N. (2019). Projections of water scarcity in croplands, 2050. NERC Environmental Information Data Centre 10.5285/1011037f-4f41-41db-ac7a-0d8e9b8bc933
- Keywords
- Limitations on Public Access
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- no limitations
- Use constraints
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- Use constraints
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- Other constraints
- © Natural Environment Research Council
- Use constraints
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- Other constraints
- If you reuse this data, you should cite: Fitton, N. (2019). Projections of water scarcity in croplands, 2050. NERC Environmental Information Data Centre https://doi.org/10.5285/1011037f-4f41-41db-ac7a-0d8e9b8bc933
- Spatial representation type
- textTable
- Topic category
-
- Environment
- Farming
))
- Begin date
- 2050-01-01
- End date
- 2050-12-31
- Code
- WGS 84
Distribution Information
- Data format
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Comma-separated values (CSV)
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- 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 to 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.
Metadata
- File identifier
- 1011037f-4f41-41db-ac7a-0d8e9b8bc933 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