Attributing historical changes in probabilities of record-breaking daily temperature and precipitation extreme events

Hideo Shiogama, Yukiko Imada, Masato Mori, Ryo Mizuta, Dáithí Stone, Kohei Yoshida, Osamu Arakawa, Mikiko Ikeda, Chiharu Takahashi, Miki Arai, Masayoshi Ishii, Masahiro Watanabe, Masahide Kimoto

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

We describe two unprecedented large (100-member), longterm (61-year) ensembles based on MRI-AGCM3.2, which were driven by historical and non-warming climate forcing. These ensembles comprise the "Database for Policy Decision making for Future climate change (d4PDF)". We compare these ensembles to large ensembles based on another climate model, as well as to observed data, to investigate the influence of anthropogenic activities on historical changes in the numbers of record-breaking events, including: the annual coldest daily minimum temperature (TNn), the annual warmest daily maximum temperature (TXx) and the annual most intense daily precipitation event (Rx1day). These two climate model ensembles indicate that human activity has already had statistically significant impacts on the number of record-breaking extreme events worldwide mainly in the Northern Hemisphere land. Specifically, human activities have altered the likelihood that a wider area globally would suffer record-breaking TNn, TXx and Rx1day events than that observed over the 2001- 2010 period by a factor of at least 0.6, 5.4 and 1.3, respectively. However, we also find that the estimated spatial patterns and amplitudes of anthropogenic impacts on the probabilities of record-breaking events are sensitive to the climate model and/or natural-world boundary conditions used in the attribution studies.

Original languageEnglish
Pages (from-to)225-231
Number of pages7
JournalScientific Online Letters on the Atmosphere
Volume12
DOIs
Publication statusPublished - 2016
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

Fingerprint

Dive into the research topics of 'Attributing historical changes in probabilities of record-breaking daily temperature and precipitation extreme events'. Together they form a unique fingerprint.

Cite this