Literature DB >> 29520121

Avoided climate impacts of urban and rural heat and cold waves over the U.S. using large climate model ensembles for RCP8.5 and RCP4.5.

K W Oleson1, G B Anderson2, B Jones3, S A McGinnis4, B Sanderson4.   

Abstract

Previous studies examining future changes in heat/cold waves using climate model ensembles have been limited to grid cell-average quantities. Here, we make use of an urban parameterization in the Community Earth System Model (CESM) that represents the urban heat island effect, which can exacerbate extreme heat but may ameliorate extreme cold in urban relative to rural areas. Heat/cold wave characteristics are derived for U.S. regions from a bias-corrected CESM 30-member ensemble for climate outcomes driven by the RCP8.5 forcing scenario and a 15-member ensemble driven by RCP4.5. Significant differences are found between urban and grid cell-average heat/cold wave characteristics. Most notably, urban heat waves for 1981-2005 are more intense than grid cell-average by 2.1°C (southeast) to 4.6°C (southwest), while cold waves are less intense. We assess the avoided climate impacts of urban heat/cold waves in 2061-2080 when following the lower forcing scenario. Urban heat wave days per year increase from 6 in 1981-2005 to up to 92 (southeast) in RCP8.5. Following RCP4.5 reduces heat wave days by about 50%. Large avoided impacts are demonstrated for individual communities; e.g., the longest heat wave for Houston in RCP4.5 is 38 days while in RCP8.5 there is one heat wave per year that is longer than a month with some lasting the entire summer. Heat waves also start later in the season in RCP4.5 (earliest are in early May) than RCP8.5 (mid-April), compared to 1981-2005 (late May). In some communities, cold wave events decrease from 2 per year for 1981-2005 to one-in-five year events in RCP4.5 and one-in-ten year events in RCP8.5.

Entities:  

Year:  2015        PMID: 29520121      PMCID: PMC5839517          DOI: 10.1007/s10584-015-1504-1

Source DB:  PubMed          Journal:  Clim Change        ISSN: 0165-0009            Impact factor:   4.743


  7 in total

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Authors:  Gerald A Meehl; Claudia Tebaldi
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2.  Epidemiologic study of mortality during the Summer 2003 heat wave in Italy.

Authors:  Susanna Conti; Paola Meli; Giada Minelli; Renata Solimini; Virgilia Toccaceli; Monica Vichi; Carmen Beltrano; Luigi Perini
Journal:  Environ Res       Date:  2004-12-08       Impact factor: 6.498

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Authors:  M Medina-Ramón; J Schwartz
Journal:  Occup Environ Med       Date:  2007-06-28       Impact factor: 4.402

4.  Recent global-warming hiatus tied to equatorial Pacific surface cooling.

Authors:  Yu Kosaka; Shang-Ping Xie
Journal:  Nature       Date:  2013-08-28       Impact factor: 49.962

5.  Heat waves in the United States: definitions, patterns and trends.

Authors:  Tiffany T Smith; Benjamin F Zaitchik; Julia M Gohlke
Journal:  Clim Change       Date:  2013-06       Impact factor: 4.743

6.  Toward a quantitative estimate of future heat wave mortality under global climate change.

Authors:  Roger D Peng; Jennifer F Bobb; Claudia Tebaldi; Larry McDaniel; Michelle L Bell; Francesca Dominici
Journal:  Environ Health Perspect       Date:  2010-12-30       Impact factor: 9.031

7.  Heat waves in the United States: mortality risk during heat waves and effect modification by heat wave characteristics in 43 U.S. communities.

Authors:  G Brooke Anderson; Michelle L Bell
Journal:  Environ Health Perspect       Date:  2010-10-07       Impact factor: 9.031

  7 in total
  9 in total

1.  Projected trends in high-mortality heatwaves under different scenarios of climate, population, and adaptation in 82 US communities.

Authors:  G Brooke Anderson; Keith W Oleson; Bryan Jones; Roger D Peng
Journal:  Clim Change       Date:  2016-08-30       Impact factor: 4.743

2.  Classifying heatwaves: Developing health-based models to predict high-mortality versus moderate United States heatwaves.

Authors:  G Brooke Anderson; Keith W Oleson; Bryan Jones; Roger D Peng
Journal:  Clim Change       Date:  2016-08-30       Impact factor: 4.743

3.  Late lactation in small mammals is a critically sensitive window of vulnerability to elevated ambient temperature.

Authors:  Zhi-Jun Zhao; Catherine Hambly; Lu-Lu Shi; Zhong-Qiang Bi; Jing Cao; John R Speakman
Journal:  Proc Natl Acad Sci U S A       Date:  2020-09-14       Impact factor: 11.205

4.  The motley drivers of heat and cold exposure in 21st century US cities.

Authors:  Ashley Mark Broadbent; Eric Scott Krayenhoff; Matei Georgescu
Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-17       Impact factor: 11.205

5.  Aging Will Amplify the Heat-related Mortality Risk under a Changing Climate: Projection for the Elderly in Beijing, China.

Authors:  Tiantian Li; Radley M Horton; Daniel A Bader; Maigeng Zhou; Xudong Liang; Jie Ban; Qinghua Sun; Patrick L Kinney
Journal:  Sci Rep       Date:  2016-06-20       Impact factor: 4.379

6.  Scenario dependence of future changes in climate extremes under 1.5 °C and 2 °C global warming.

Authors:  Zhili Wang; Lei Lin; Xiaoye Zhang; Hua Zhang; Liangke Liu; Yangyang Xu
Journal:  Sci Rep       Date:  2017-04-20       Impact factor: 4.379

7.  Development of high-resolution daily gridded temperature datasets for the central north region of Egypt.

Authors:  Mohamed Salem Nashwan; Shamsuddin Shahid; Eun-Sung Chung
Journal:  Sci Data       Date:  2019-07-31       Impact factor: 6.444

8.  Large model structural uncertainty in global projections of urban heat waves.

Authors:  Zhonghua Zheng; Lei Zhao; Keith W Oleson
Journal:  Nat Commun       Date:  2021-06-18       Impact factor: 14.919

9.  Population dynamics modify urban residents' exposure to extreme temperatures across the United States.

Authors:  Jiachuan Yang; Leiqiu Hu; Chenghao Wang
Journal:  Sci Adv       Date:  2019-12-18       Impact factor: 14.136

  9 in total

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