The impact of the El Niño-Southern Oscillation on maximum temperature extremes
Abstract
The impact of the El Niño-Southern Oscillation (ENSO) on temperature extremes is examined in both observations and coupled climate model simulations. HadEX2, a newly developed observed gridded dataset of climate extremes indices shows marked contrasts in seasonal composites of the monthly maximum value of daily maximum temperature during the cold and warm phases of ENSO. Extreme maximum temperatures are significantly cooler over Australia, southern Asia, Canada and South Africa during strong La Niña events compared to El Niño events and significantly warmer over the contiguous United States and southern South America. Two climate models are contrasted for their ability to capture these relationships given their very different simulations of ENSO. While both models capture some aspects of the observed patterns, the fidelity of the ENSO simulation appears to be crucial for simulating the magnitude and sign of the extreme maximum temperature relationships. The impact of future climate change on these patterns is also investigated.
- Authors:
-
- Center for Australian Weather and Climate Research, Bureau of Meteorology, Melbourne, (Australia); National Center for Atmospheric Research, Boulder, CO (United States)
- Univ. of New South Wales, Sydney, NSW (Australia)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Univ. of California, Oakland, CA (United States); UT-Battelle LLC/ORNL, Oak Ridge, TN (United States); University Corporation for Atmospheric Research, Boulder, CO (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1564989
- Grant/Contract Number:
- AC02-05CH11231; AC05-00OR22725; FC02-97ER62402
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Geophysical Research Letters
- Additional Journal Information:
- Journal Volume: 39; Journal Issue: 20; Journal ID: ISSN 0094-8276
- Publisher:
- American Geophysical Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Geology
Citation Formats
Arblaster, Julie M., and Alexander, Lisa V. The impact of the El Niño-Southern Oscillation on maximum temperature extremes. United States: N. p., 2012.
Web. doi:10.1029/2012gl053409.
Arblaster, Julie M., & Alexander, Lisa V. The impact of the El Niño-Southern Oscillation on maximum temperature extremes. United States. https://doi.org/10.1029/2012gl053409
Arblaster, Julie M., and Alexander, Lisa V. Tue .
"The impact of the El Niño-Southern Oscillation on maximum temperature extremes". United States. https://doi.org/10.1029/2012gl053409. https://www.osti.gov/servlets/purl/1564989.
@article{osti_1564989,
title = {The impact of the El Niño-Southern Oscillation on maximum temperature extremes},
author = {Arblaster, Julie M. and Alexander, Lisa V.},
abstractNote = {The impact of the El Niño-Southern Oscillation (ENSO) on temperature extremes is examined in both observations and coupled climate model simulations. HadEX2, a newly developed observed gridded dataset of climate extremes indices shows marked contrasts in seasonal composites of the monthly maximum value of daily maximum temperature during the cold and warm phases of ENSO. Extreme maximum temperatures are significantly cooler over Australia, southern Asia, Canada and South Africa during strong La Niña events compared to El Niño events and significantly warmer over the contiguous United States and southern South America. Two climate models are contrasted for their ability to capture these relationships given their very different simulations of ENSO. While both models capture some aspects of the observed patterns, the fidelity of the ENSO simulation appears to be crucial for simulating the magnitude and sign of the extreme maximum temperature relationships. The impact of future climate change on these patterns is also investigated.},
doi = {10.1029/2012gl053409},
journal = {Geophysical Research Letters},
number = 20,
volume = 39,
place = {United States},
year = {Tue Oct 16 00:00:00 EDT 2012},
month = {Tue Oct 16 00:00:00 EDT 2012}
}
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