Projections of water scarcity in croplands, 2050

[This dataset is embargoed until December 1, 2020]. Projections of global changes in water scarcity with the current extent of croplands were combined to identify the potential country level vulnerabilities of cropland land to water scarcity in 2050. The data relate to an analysis of the impact changes in water availability will have on cropland availability in 2050. Full details about this dataset can be found at https://doi.org/10.5285/1011037f-4f41-41db-ac7a-0d8e9b8bc933
 
Citation proposal
Environmental Information Data Centre - Fitton, N. (University of Aberdeen) (2019) . Projections of water scarcity in croplands, 2050. NERC Environmental Information Data Centre https://data-search.nerc.ac.uk:443/geonetwork/srv/api/records/1011037f-4f41-41db-ac7a-0d8e9b8bc933
 

Simple

Date ( Publication )
2019-07-24
Date ( Creation )
2018-10-19
Identifier
https://catalogue.ceh.ac.uk/id/1011037f-4f41-41db-ac7a-0d8e9b8bc933
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

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Keywords
  • Agriculture , Climate and climate change , Environmental risk , Hydrology
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otherRestrictions Other restrictions
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© Natural Environment Research Council
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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 Text, table
Metadata language
English English
Character set
utf8 UTF8
Topic category
  • Environment
  • Farming
N
S
E
W


Distribution format
  • Comma-separated values (CSV) ()

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dataset Dataset
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dataset

Conformance result

Date ( Publication )
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.

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File identifier
1011037f-4f41-41db-ac7a-0d8e9b8bc933   XML
Metadata language
English English
Character set
ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1
Hierarchy level
dataset Dataset
Hierarchy level name
dataset
Date stamp
2020-03-13T14:27:40
Metadata standard version
2.3

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