Attribution of the June-July 2013 Heat Wave in the Southwestern United States

Hideo Shiogama; Masahiro Watanabe; Yukiko Imada; Masato Mori; Youichi Kamae; Masayoshi Ishii; Masahide Kimoto

doi:10.2151/sola.2014-025

SOLA

Online ISSN : 1349-6476
ISSN-L : 1349-6476

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Attribution of the June-July 2013 Heat Wave in the Southwestern United States

Hideo Shiogama, Masahiro Watanabe, Yukiko Imada, Masato Mori, Youichi Kamae, Masayoshi Ishii, Masahide Kimoto

Author information

Hideo Shiogama
Center for Global Environmental Research, National Institute for Environmental Studies
Masahiro Watanabe
Atmosphere and Ocean Research Institute, the University of Tokyo
Yukiko Imada
Meteorological Research Institute
Masato Mori
Atmosphere and Ocean Research Institute, the University of Tokyo
Youichi Kamae
Center for Global Environmental Research, National Institute for Environmental Studies
Masayoshi Ishii
Meteorological Research Institute
Masahide Kimoto
Atmosphere and Ocean Research Institute, the University of Tokyo

Corresponding author

ORCID

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Supplementary material

2014 Volume 10 Pages 122-126

DOI https://doi.org/10.2151/sola.2014-025

J-STAGE : sola Vol. 12 (2016) pp. c3-c4

Details

Published: 2014 Received: May 08, 2014 Released on J-STAGE: August 02, 2014 Accepted: June 25, 2014 Advance online publication: - Revised: -

Abstract

A severe heat wave occurred in the southwestern United States (US) during June and July 2013. To investigate the effects of natural variability and anthropogenic climate change on this event, we generated large ensemble simulations of possible weather using the MIROC5A climate model forced by "historical external forcing agents, sea surface temperature (SST) observations and sea ice (SIC) observations" both with and without human influence. It was suggested that both the anthropogenic warming and an atmospheric circulation regime related to the natural variability of SST and SIC made the heat wave event more likely. On the other hand, no significant human influence was found in atmospheric circulation patterns. These results were robust for two different estimates of anthropogenic signals on SST and SIC.

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