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Title: Inferring the anthropogenic contribution to local temperature extremes

Journal Article · · Proceedings of the National Academy of Sciences of the United States of America
 [1];  [2];  [1];  [1];  [1]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Computational Research Division
  2. Univ. of California, Berkeley, CA (United States). Department of Statistics

Here, in PNAS, Hansen et al. document an observed planet-wide increase in the frequency of extremely hot months and a decrease in the frequency of extremely cold months, consistent with earlier studies. This analysis is achieved through aggregation of gridded monthly temperature measurements from all over the planet. Such aggregation is advantageous in achieving statistical sampling power; however, it sacrifices regional specificity. Lastly, in that light, we find the conclusion of Hansen et al. that “the extreme summer climate anomalies in Texas in 2011, in Moscow in 2010, and in France in 2003 almost certainly would not have occurred in the absence of global warming” to be unsubstantiated by their analysis.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1407185
Journal Information:
Proceedings of the National Academy of Sciences of the United States of America, Vol. 110, Issue 17; ISSN 0027-8424
Publisher:
National Academy of Sciences, Washington, DC (United States)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 7 works
Citation information provided by
Web of Science

References (2)

Perception of climate change journal August 2012
Changes in Climate Extremes and their Impacts on the Natural Physical Environment book May 2012

Cited By (3)

Quantile-based bias correction and uncertainty quantification of extreme event attribution statements text January 2016
Quantifying statistical uncertainty in the attribution of human influence on severe weather preprint January 2017
Quantifying the influence of global warming on unprecedented extreme climate events journal April 2017