Relative contributions of mean-state shifts and ENSO-driven variability to precipitation changes in a warming climate
Abstract
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, whichmore »
- Authors:
-
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Univ. of Colorado, Boulder, CO (United States)
- Publication Date:
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1252621
- Report Number(s):
- LLNL-JRNL-663825
Journal ID: ISSN 0894-8755
- Grant/Contract Number:
- AC52-07NA27344
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Climate
- Additional Journal Information:
- Journal Volume: 28; Journal Issue: 24; Journal ID: ISSN 0894-8755
- Publisher:
- American Meteorological Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; circulation/dynamics; ENSO; Atm/ocean structure/phenomena; precipitation; physical meteorology and climatology; climate change; regional effects; models and modeling; general circulation models; variability; climate variability
Citation Formats
Bonfils, Celine J. W., Santer, Benjamin D., Phillips, Thomas J., Marvel, Kate, Leung, L. Ruby, Doutriaux, Charles, and Capotondi, Antonietta. Relative contributions of mean-state shifts and ENSO-driven variability to precipitation changes in a warming climate. United States: N. p., 2015.
Web. doi:10.1175/JCLI-D-15-0341.1.
Bonfils, Celine J. W., Santer, Benjamin D., Phillips, Thomas J., Marvel, Kate, Leung, L. Ruby, Doutriaux, Charles, & Capotondi, Antonietta. Relative contributions of mean-state shifts and ENSO-driven variability to precipitation changes in a warming climate. United States. https://doi.org/10.1175/JCLI-D-15-0341.1
Bonfils, Celine J. W., Santer, Benjamin D., Phillips, Thomas J., Marvel, Kate, Leung, L. Ruby, Doutriaux, Charles, and Capotondi, Antonietta. Fri .
"Relative contributions of mean-state shifts and ENSO-driven variability to precipitation changes in a warming climate". United States. https://doi.org/10.1175/JCLI-D-15-0341.1. https://www.osti.gov/servlets/purl/1252621.
@article{osti_1252621,
title = {Relative contributions of mean-state shifts and ENSO-driven variability to precipitation changes in a warming climate},
author = {Bonfils, Celine J. W. and Santer, Benjamin D. and Phillips, Thomas J. and Marvel, Kate and Leung, L. Ruby and Doutriaux, Charles and Capotondi, Antonietta},
abstractNote = {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.},
doi = {10.1175/JCLI-D-15-0341.1},
journal = {Journal of Climate},
number = 24,
volume = 28,
place = {United States},
year = {Fri Dec 18 00:00:00 EST 2015},
month = {Fri Dec 18 00:00:00 EST 2015}
}
Web of Science
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