How likely is an El Niño to break the global mean surface temperature record during the 21st century?
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Hsu_2019_Environ._Res._Lett._1 ...
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Chia-Wei Hsu and Jianjun Yin 2019 Environ. Res. Lett. 14 094017Journal
ENVIRONMENTAL RESEARCH LETTERSRights
© 2019 The Author(s). Published by IOP Publishing Ltd. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
The likelihood of an El Nino breaking the annual global mean surface temperature (GMST) record during the 21st century is derived from 38 climate models from the Fifth Coupled Model Intercomparison Project (CMIP5). We find that, under a low emission scenario, one out of three El Nino events break the GMST record. The probability significantly increases to four out of five in a high emission scenario. About half of strong El Ninos, but only one-fifth of weak El Ninos, can set new GMST records in a low emission scenario. By contrast, even weak El Ninos break the GMST record more regularly (68 +/- 8% chance) in a high emission scenario. Both a stronger El Nino and a higher emission scenario induce a higher record-breaking GMST with a magnitude range from 0.03 degrees C to 0.21 degrees C above the previous record. El Nino accounts for more than half of record-breaking GMST occurrences in all emission scenarios. A comparison between CMIP3, CMIP5, and CMIP6 suggests that the analyses are not affected by model generations.Note
Open access articleISSN
1748-9326Version
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NOAA Climate Program Office, National Oceanic Atmospheric Admin (NOAA) - USA [NA18OAR4310267]ae974a485f413a2113503eed53cd6c53
10.1088/1748-9326/ab3b82
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Except where otherwise noted, this item's license is described as © 2019 The Author(s). Published by IOP Publishing Ltd. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.

