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Title: A hierarchical collection of political/economic regions for analysis of climate extremes

Abstract

This paper describes five sets of regions intended for use in summarizing extreme weather over Earth’s land areas from a climate perspective. The sets differ in terms of their target size: ~10 Mm2, ~5 Mm2, ~2 Mm2, ~0.5 Mm2, and ~0.1 Mm2 (where 1 Mm2= 1 million km2). The regions are based on political/economic divisions, and hence are intended to be primarily aligned with geographical domains of decision-making and disaster response rather than other factors such as climatological homogeneity. This paper describes the method for defining these sets of regions; provides the final definitions of the regions; and performs some comparisons across the five sets and other available regional definitions with global land coverage, according to climatological and non-climatological properties.

Authors:
ORCiD logo [1]
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  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); National Inst. of Water and Atmospheric Research, Wellington (New Zealand)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
Office of Science (SC), Biological and Environmental Research (BER). Earth and Environmental Systems Science Division
OSTI Identifier:
1576507
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Climatic Change
Additional Journal Information:
Journal Volume: 155; Journal Issue: 4; Journal ID: ISSN 0165-0009
Publisher:
Springer
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Stone, Dáithí A. A hierarchical collection of political/economic regions for analysis of climate extremes. United States: N. p., 2019. Web. doi:10.1007/s10584-019-02479-6.
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Stone, Dáithí A. A hierarchical collection of political/economic regions for analysis of climate extremes. United States. https://doi.org/10.1007/s10584-019-02479-6
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Stone, Dáithí A. Sat . "A hierarchical collection of political/economic regions for analysis of climate extremes". United States. https://doi.org/10.1007/s10584-019-02479-6. https://www.osti.gov/servlets/purl/1576507.
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@article{osti_1576507,
title = {A hierarchical collection of political/economic regions for analysis of climate extremes},
author = {Stone, Dáithí A.},
abstractNote = {This paper describes five sets of regions intended for use in summarizing extreme weather over Earth’s land areas from a climate perspective. The sets differ in terms of their target size: ~10 Mm2, ~5 Mm2, ~2 Mm2, ~0.5 Mm2, and ~0.1 Mm2 (where 1 Mm2= 1 million km2). The regions are based on political/economic divisions, and hence are intended to be primarily aligned with geographical domains of decision-making and disaster response rather than other factors such as climatological homogeneity. This paper describes the method for defining these sets of regions; provides the final definitions of the regions; and performs some comparisons across the five sets and other available regional definitions with global land coverage, according to climatological and non-climatological properties.},
doi = {10.1007/s10584-019-02479-6},
journal = {Climatic Change},
number = 4,
volume = 155,
place = {United States},
year = {Sat Jun 29 00:00:00 EDT 2019},
month = {Sat Jun 29 00:00:00 EDT 2019}
}
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Journal Article:
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Publisher's Version of Record
https://doi.org/10.1007/s10584-019-02479-6
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Cited by: 6 works
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Figures / Tables:

Fig. 1 Fig. 1: Daily mean 2-m temperature during July-August 2010 over various regions which include areas hit by the major heatwave that occurred in Eastern Europe. The time series for each region are placed vertically along the right-hand axis according to their size. Dashed lines denote the respective 1979-2009 climatological meanmore » for each day of the year. Temperature data are from the ERA-INTERIM reanalysis (Dee et al 2011). In order to avoid clutter, no 0.1 Mm2-scale region has been included.« less
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    Figures / Tables found in this record:

    Fig. 1 (p. 8)figure
    Fig. 2 (p. 15)figure
    Fig. 3 (p. 17)figure
    Fig. 4 (p. 21)figure
    Fig. 5 (p. 26)figure
    Fig. 6 (p. 27)figure
    Table 1 (p. 38)table
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