Novel and Disappearing Climates 2050 SRES A2

John W. Williams, Karyn Tabor

Description

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.The data are in arcASCII format. All data are in units of standard Euclidean distance and multiplied by 1000.This is the original data. To scale the data similar to Tabor et al. (2018), remove outliers above the 99th percentile distribution before rescaling from 0-1. Unprojected number of columns 2160
number of rows 857
Lower Left X Center -179.917
Lower Left Y Center -59.084
Cell size 0.166667 decimal degrees (10 minutes or ~17 km)

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.8

FAIR Score

79%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Open Access

Assigned Domain

Subfield

Global and Planetary Change

Field

Environmental Science

Domain

Physical Sciences

Confidence Score

55%

Source

Scholar Data Model

Keywords

climate, downscaled, metrics, global

Normalization Factors

FT

59.62

CTw

1.00

MTw

1.00