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Title: Relative contributions of mean-state shifts and ENSO-driven variability to precipitation changes in a warming climate

Journal Article · · Journal of Climate
 [1];  [1];  [1];  [1];  [2];  [1];  [3]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  3. Univ. of Colorado, Boulder, CO (United States)

The El Niño–Southern Oscillation (ENSO) is an important driver of regional hydroclimate variability through far-reaching teleconnections. This study uses simulations performed with coupled general circulation models (CGCMs) to investigate how regional precipitation in the twenty-first century may be affected by changes in both ENSO-driven precipitation variability and slowly evolving mean rainfall. First, a dominant, time-invariant pattern of canonical ENSO variability (cENSO) is identified in observed SST data. Next, the fidelity with which 33 state-of-the-art CGCMs represent the spatial structure and temporal variability of this pattern (as well as its associated precipitation responses) is evaluated in simulations of twentieth-century climate change. Possible changes in both the temporal variability of this pattern and its associated precipitation teleconnections are investigated in twenty-first-century climate projections. Models with better representation of the observed structure of the cENSO pattern produce winter rainfall teleconnection patterns that are in better accord with twentieth-century observations and more stationary during the twenty-first century. Finally, the model-predicted twenty-first-century rainfall response to cENSO is decomposed into the sum of three terms: 1) the twenty-first-century change in the mean state of precipitation, 2) the historical precipitation response to the cENSO pattern, and 3) a future enhancement in the rainfall response to cENSO, which amplifies rainfall extremes. Lastly, by examining the three terms jointly, this conceptual framework allows the identification of regions likely to experience future rainfall anomalies that are without precedent in the current climate.

Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC52-07NA27344
OSTI ID:
1252621
Report Number(s):
LLNL-JRNL-663825
Journal Information:
Journal of Climate, Vol. 28, Issue 24; ISSN 0894-8755
Publisher:
American Meteorological SocietyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 46 works
Citation information provided by
Web of Science

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Cited By (9)

Does global warming amplify interannual climate variability? journal June 2018
Evaluation of multi-decadal UCLA-CFSv2 simulation and impact of interactive atmospheric-ocean feedback on global and regional variability journal July 2018
Quantifying the agreement between observed and simulated extratropical modes of interannual variability journal July 2018
Projected late 21st century changes to the regional impacts of the El Niño-Southern Oscillation journal October 2019
Indo-Pacific Climate Modes in Warming Climate: Consensus and Uncertainty Across Model Projections journal November 2019
Uncertainty Analysis of Simulations of the Turn‐of‐the‐Century Drought in the Western United States journal December 2018
Precipitation variability increases in a warmer climate journal December 2017
Eastward shift and extension of ENSO-induced tropical precipitation anomalies under global warming journal January 2020
Synoptic and Climate Attributions of the December 2015 Extreme Flooding in Missouri, USA journal March 2018