Literature DB >> 33868722

Working with Daily Climate Model Output Data in R and the futureheatwaves Package.

G Brooke Anderson1, Colin Eason2, Elizabeth A Barnes3.   

Abstract

Research on climate change impacts can require extensive processing of climate model output, especially when using ensemble techniques to incorporate output from multiple climate models and multiple simulations of each model. This processing can be particularly extensive when identifying and characterizing multi-day extreme events like heat waves and frost day spells, as these must be processed from model output with daily time steps. Further, climate model output is in a format and follows standards that may be unfamiliar to most R users. Here, we provide an overview of working with daily climate model output data in R. We then present the futureheatwaves package, which we developed to ease the process of identifying, characterizing, and exploring multi-day extreme events in climate model output. This package can input a directory of climate model output files, identify all extreme events using customizable event definitions, and summarize the output using user-specified functions.

Entities:  

Year:  2017        PMID: 33868722      PMCID: PMC8048414          DOI: 10.32614/rj-2017-032

Source DB:  PubMed          Journal:  R J        ISSN: 2073-4859            Impact factor:   3.984


  7 in total

1.  Heat wave impacts on mortality in Shanghai, 1998 and 2003.

Authors:  Jianguo Tan; Youfei Zheng; Guixiang Song; Laurence S Kalkstein; Adam J Kalkstein; Xu Tang
Journal:  Int J Biometeorol       Date:  2006-10-13       Impact factor: 3.787

2.  Influence of heat wave definitions to the added effect of heat waves on daily mortality in Nanjing, China.

Authors:  Kai Chen; Jun Bi; Jin Chen; Xiaodong Chen; Lei Huang; Lian Zhou
Journal:  Sci Total Environ       Date:  2014-11-14       Impact factor: 7.963

3.  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

4.  Weather-related mortality: how heat, cold, and heat waves affect mortality in the United States.

Authors:  Brooke G Anderson; Michelle L Bell
Journal:  Epidemiology       Date:  2009-03       Impact factor: 4.822

5.  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

6.  Heat waves and health outcomes in Alabama (USA): the importance of heat wave definition.

Authors:  Shia T Kent; Leslie A McClure; Benjamin F Zaitchik; Tiffany T Smith; Julia M Gohlke
Journal:  Environ Health Perspect       Date:  2013-11-22       Impact factor: 9.031

7.  OpenCyto: an open source infrastructure for scalable, robust, reproducible, and automated, end-to-end flow cytometry data analysis.

Authors:  Greg Finak; Jacob Frelinger; Wenxin Jiang; Evan W Newell; John Ramey; Mark M Davis; Spyros A Kalams; Stephen C De Rosa; Raphael Gottardo
Journal:  PLoS Comput Biol       Date:  2014-08-28       Impact factor: 4.475

  7 in total

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