• UNEP/GRID-Geneva metadata catalogue
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Disappearing Climates 2050 SRES A2

This dataset contains two metrics for climate change exposure using downscaled climate projections with the SRES A2 emissions scenario (Tabor and Williams, 2007).The metrics represent dissimilarity measurements of the squared Euclidean distance between seasonal (June–August and December–February) temperature and precipitation variables in the 20th century climate and mid-21st century climate. (1) disappearing climate risk - measure of dissimilarity between a pixel’s late 20th century climate and its closest matching pixel in the global set of 21st-century climates (2) novel climate risk - measure of dissimilarity between a pixel’s future climate and its closest matching pixel in the global set of late 20th-century climates.

Simple

Date ( Publication )
2018-11-26
Author
Conservation International - Karyn Tabor

Presentation form
Digital map
Purpose
This is the disappearing climate risk dataset - measure of dissimilarity between a pixel’s late 20th century climate and its closest matching pixel in the global set of 21st-century climates
Credit
John W. Williams, Karyn Tabor. (2018). Novel and Disappearing Climates 2050 SRES A2 (Version 1) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.1559299John W. Williams, Karyn Tabor. (2018). Novel and Disappearing Climates 2050 SRES A2 (Version 1) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.1559299
Author
Conservation International - Karyn Tabor

Maintenance and update frequency
Unknown
Author
Conservation International - Karyn Tabor

Keywords ( Place )
  • global
Keywords ( Theme )
  • climate
  • future
  • models
  • downscaled
  • downscaled
  • metrics
  • temperature
Keywords
  • Downloadable Data
Use limitation
Creative Commons Attribution 4.0 Unported (CC BY 4.0). See https://creativecommons.org/licenses/by/4.0/ for details. Free to (1) copy and redistribute the material in any medium or format, (2) remix, transform, and build upon the material for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Spatial representation type
Grid
Metadata language
en
Character set
UTF8
Topic category
  • Climatology, meteorology, atmosphere
Environment description
Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.0.8321
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Begin date
2041-12-01T00:00:00
End date
2041-02-28T00:00:00
Begin date
2041-06-01T00:00:00
End date
2041-08-31T00:00:00
Begin date
2060-12-01T00:00:00
End date
2060-02-29T00:00:00
Begin date
2060-06-01T00:00:00
End date
2060-08-31T00:00:00
Supplemental Information
Support for this project was provided by Conservation International, the Land Tenure Center at the University of Wisconsin, the Center for Climatic Research at the University of Wisconsin, and the Environment Program at the University of Wisconsin–Madison. This research has been funded in part by the Walton Family Foundation, the Gordon and Betty Moore Foundation, and a gift from Betty and Gordon Moore.
Reference system identifier
EPSG / 4326 / 6.14(3.0.1)
Number of dimensions
2
Dimension name
Column
Dimension size
2160
Resolution
0.166667  deg
Dimension name
Row
Dimension size
857
Resolution
0.166667  deg
Cell geometry
Area
Transformation parameter availability
Yes
Checkpoint Availability
No
Point in Pixel
  • Center
Distribution format
  • Raster Dataset ( GeoTiff )

Metadata

File identifier
e1bc316c-609c-486d-a0a1-d1048558f456 XML
Metadata language
en
Character set
UTF8
Hierarchy level
Dataset
Hierarchy level name
dataset
Date stamp
2019-04-10T15:22:03
Metadata standard name
ISO 19139 Geographic Information - Metadata - Implementation Specification
Metadata standard version
2007
Point of contact
UN Environment World Conservation Monitoring Centre (UNEP-WCMC) - ( Data Manager )

 
 

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Keywords

climate downscaled downscaled future metrics models temperature

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