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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 Mm 2, ~5 Mm 2, ~2 Mm 2, ~0.5 Mm 2, and ~0.1 Mm 2 (where 1 Mm 2= 1 million km 2). 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]
  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 Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23). Climate and Environmental Sciences 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.
Stone, Dáithí A. A hierarchical collection of political/economic regions for analysis of climate extremes. United States. doi:10.1007/s10584-019-02479-6.
Stone, Dáithí A. Sat . "A hierarchical collection of political/economic regions for analysis of climate extremes". United States. doi:10.1007/s10584-019-02479-6.
@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 = {2019},
month = {6}
}

Journal Article:
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Works referenced in this record:

An Independent Assessment of Anthropogenic Attribution Statements for Recent Extreme Temperature and Rainfall Events
journal, January 2017


Was there a basis for anticipating the 2010 Russian heat wave?: THE 2010 RUSSIAN HEAT WAVE
journal, March 2011

  • Dole, Randall; Hoerling, Martin; Perlwitz, Judith
  • Geophysical Research Letters, Vol. 38, Issue 6
  • DOI: 10.1029/2010GL046582

Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization
journal, January 2016

  • Eyring, Veronika; Bony, Sandrine; Meehl, Gerald A.
  • Geoscientific Model Development, Vol. 9, Issue 5
  • DOI: 10.5194/gmd-9-1937-2016

Attribution of extreme weather to anthropogenic greenhouse gas emissions: Sensitivity to spatial and temporal scales
journal, March 2014

  • Angélil, Oliver; Stone, Dáithí A.; Tadross, Mark
  • Geophysical Research Letters, Vol. 41, Issue 6
  • DOI: 10.1002/2014GL059234

Experiment design of the International CLIVAR C20C+ Detection and Attribution project
journal, June 2019


WCRP COordinated Regional Downscaling EXperiment (CORDEX): a diagnostic MIP for CMIP6
journal, January 2016

  • Gutowski Jr., William J.; Giorgi, Filippo; Timbal, Bertrand
  • Geoscientific Model Development, Vol. 9, Issue 11
  • DOI: 10.5194/gmd-9-4087-2016

Comparing regional precipitation and temperature extremes in climate model and reanalysis products
journal, September 2016

  • Angélil, Oliver; Perkins-Kirkpatrick, Sarah; Alexander, Lisa V.
  • Weather and Climate Extremes, Vol. 13
  • DOI: 10.1016/j.wace.2016.07.001

An Overview of CMIP5 and the Experiment Design
journal, April 2012

  • Taylor, Karl E.; Stouffer, Ronald J.; Meehl, Gerald A.
  • Bulletin of the American Meteorological Society, Vol. 93, Issue 4
  • DOI: 10.1175/BAMS-D-11-00094.1

The Hot Summer of 2010: Redrawing the Temperature Record Map of Europe
journal, March 2011


On statistical dissipation in GCM-climate
journal, June 2004


THE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research
journal, September 2007

  • Meehl, Gerald A.; Covey, Curt; Delworth, Thomas
  • Bulletin of the American Meteorological Society, Vol. 88, Issue 9
  • DOI: 10.1175/BAMS-88-9-1383

A New HadGEM3-A-Based System for Attribution of Weather- and Climate-Related Extreme Events
journal, May 2013


Half a degree additional warming, prognosis and projected impacts (HAPPI): background and experimental design
journal, January 2017

  • Mitchell, Daniel; AchutaRao, Krishna; Allen, Myles
  • Geoscientific Model Development, Vol. 10, Issue 2
  • DOI: 10.5194/gmd-10-571-2017

A basis set for exploration of sensitivity to prescribed ocean conditions for estimating human contributions to extreme weather in CAM5.1-1degree
journal, March 2018


Increase of extreme events in a warming world
journal, October 2011

  • Rahmstorf, S.; Coumou, D.
  • Proceedings of the National Academy of Sciences, Vol. 108, Issue 44
  • DOI: 10.1073/pnas.1101766108

Mineralized microbes from Giggenbach submarine volcano: SILICIFIED MICROBES
journal, July 2008

  • Jones, Brian; de Ronde, C. E. J.; Renaut, Robin W.
  • Journal of Geophysical Research: Solid Earth, Vol. 113, Issue B8
  • DOI: 10.1029/2007JB005482

Evaluating Simulated Fraction of Attributable Risk Using Climate Observations
journal, June 2016


Attributing the probability of South African weather extremes to anthropogenic greenhouse gas emissions: Spatial characteristics
journal, May 2014

  • Angélil, Oliver; Stone, Dáithí A.; Pall, Pardeep
  • Geophysical Research Letters, Vol. 41, Issue 9
  • DOI: 10.1002/2014GL059760

The Community Earth System Model (CESM) Large Ensemble Project: A Community Resource for Studying Climate Change in the Presence of Internal Climate Variability
journal, August 2015

  • Kay, J. E.; Deser, C.; Phillips, A.
  • Bulletin of the American Meteorological Society, Vol. 96, Issue 8
  • DOI: 10.1175/BAMS-D-13-00255.1

Attribution of floods in the Okavango basin, Southern Africa
journal, April 2014


The ERA-Interim reanalysis: configuration and performance of the data assimilation system
journal, April 2011

  • Dee, D. P.; Uppala, S. M.; Simmons, A. J.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 137, Issue 656
  • DOI: 10.1002/qj.828

Anatomy of an Extreme Event
journal, May 2013


Quantifying the effect of interannual ocean variability on the attribution of extreme climate events to human influence
journal, January 2017

  • Risser, Mark D.; Stone, Dáithí A.; Paciorek, Christopher J.
  • Climate Dynamics, Vol. 49, Issue 9-10
  • DOI: 10.1007/s00382-016-3492-x

High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6
journal, January 2016

  • Haarsma, Reindert J.; Roberts, Malcolm J.; Vidale, Pier Luigi
  • Geoscientific Model Development, Vol. 9, Issue 11
  • DOI: 10.5194/gmd-9-4185-2016