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Title: Evolution of Ocean Heat Content Related to ENSO

Abstract

As the strongest interannual perturbation to the climate system, El Niño–Southern Oscillation (ENSO) dominates the year-to-year variability of the ocean energy budget. Here we combine ocean observations, reanalyses, and surface flux data with Earth system model simulations to obtain estimates of the different terms affecting the redistribution of energy in the Earth system during ENSO events, including exchanges between ocean and atmosphere and among different ocean basins, and lateral and vertical rearrangements. This comprehensive inventory allows better understanding of the regional and global evolution of ocean heat related to ENSO and provides observational metrics to benchmark performance of climate models. Results confirm that there is a strong negative ocean heat content tendency (OHCT) in the tropical Pacific Ocean during El Niño, mainly through enhanced air–sea heat fluxes Q into the atmosphere driven by high sea surface temperatures. In addition to this diabatic component, there is an adiabatic redistribution of heat both laterally and vertically (0–100 and 100–300 m) in the tropical Pacific and Indian oceans that dominates the local OHCT. Heat is also transported and discharged from 20°S–5°N into off-equatorial regions within 5°–20°N during and after El Niño. OHCT and Q changes outside the tropical Pacific Ocean indicate the ENSO-drivenmore » atmospheric teleconnections and changes of ocean heat transport (i.e., Indonesian Throughflow). The tropical Atlantic and Indian Oceans warm during El Niño, partly offsetting the tropical Pacific cooling for the tropical oceans as a whole. While there are distinct regional OHCT changes, many compensate each other, resulting in a weak but robust net global ocean cooling during and after El Niño.« less

Authors:
ORCiD logo [1];  [2];  [2];  [3];  [4];  [5]
  1. International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
  2. National Center for Atmospheric Research, Boulder, Colorado
  3. European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom, and Department of Meteorology and Geophysics, University of Vienna, Vienna, Austria
  4. European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom
  5. International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, and University of the Chinese Academy of Sciences, Beijing, China
Publication Date:
Research Org.:
University Corporation for Atmospheric Research, Boulder, CO (United States)
Sponsoring Org.:
USDOE Office of Science (SC); National Key Research and Development Program of China; National Science Foundation (NSF)
OSTI Identifier:
1515583
Alternate Identifier(s):
OSTI ID: 1611937
Grant/Contract Number:  
SC0012711; 2017YFA0603202; 2016YFC1401705; AGS-1243125
Resource Type:
Published Article
Journal Name:
Journal of Climate
Additional Journal Information:
Journal Name: Journal of Climate Journal Volume: 32 Journal Issue: 12; Journal ID: ISSN 0894-8755
Publisher:
American Meteorological Society
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 59 BASIC BIOLOGICAL SCIENCES; meteorology & atmospheric sciences; ocean; energy transport; ENSO; ocean dynamics

Citation Formats

Cheng, Lijing, Trenberth, Kevin E., Fasullo, John T., Mayer, Michael, Balmaseda, Magdalena, and Zhu, Jiang. Evolution of Ocean Heat Content Related to ENSO. United States: N. p., 2019. Web. doi:10.1175/JCLI-D-18-0607.1.
Cheng, Lijing, Trenberth, Kevin E., Fasullo, John T., Mayer, Michael, Balmaseda, Magdalena, & Zhu, Jiang. Evolution of Ocean Heat Content Related to ENSO. United States. https://doi.org/10.1175/JCLI-D-18-0607.1
Cheng, Lijing, Trenberth, Kevin E., Fasullo, John T., Mayer, Michael, Balmaseda, Magdalena, and Zhu, Jiang. Sat . "Evolution of Ocean Heat Content Related to ENSO". United States. https://doi.org/10.1175/JCLI-D-18-0607.1.
@article{osti_1515583,
title = {Evolution of Ocean Heat Content Related to ENSO},
author = {Cheng, Lijing and Trenberth, Kevin E. and Fasullo, John T. and Mayer, Michael and Balmaseda, Magdalena and Zhu, Jiang},
abstractNote = {As the strongest interannual perturbation to the climate system, El Niño–Southern Oscillation (ENSO) dominates the year-to-year variability of the ocean energy budget. Here we combine ocean observations, reanalyses, and surface flux data with Earth system model simulations to obtain estimates of the different terms affecting the redistribution of energy in the Earth system during ENSO events, including exchanges between ocean and atmosphere and among different ocean basins, and lateral and vertical rearrangements. This comprehensive inventory allows better understanding of the regional and global evolution of ocean heat related to ENSO and provides observational metrics to benchmark performance of climate models. Results confirm that there is a strong negative ocean heat content tendency (OHCT) in the tropical Pacific Ocean during El Niño, mainly through enhanced air–sea heat fluxes Q into the atmosphere driven by high sea surface temperatures. In addition to this diabatic component, there is an adiabatic redistribution of heat both laterally and vertically (0–100 and 100–300 m) in the tropical Pacific and Indian oceans that dominates the local OHCT. Heat is also transported and discharged from 20°S–5°N into off-equatorial regions within 5°–20°N during and after El Niño. OHCT and Q changes outside the tropical Pacific Ocean indicate the ENSO-driven atmospheric teleconnections and changes of ocean heat transport (i.e., Indonesian Throughflow). The tropical Atlantic and Indian Oceans warm during El Niño, partly offsetting the tropical Pacific cooling for the tropical oceans as a whole. While there are distinct regional OHCT changes, many compensate each other, resulting in a weak but robust net global ocean cooling during and after El Niño.},
doi = {10.1175/JCLI-D-18-0607.1},
journal = {Journal of Climate},
number = 12,
volume = 32,
place = {United States},
year = {Sat Jun 01 00:00:00 EDT 2019},
month = {Sat Jun 01 00:00:00 EDT 2019}
}

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Free Publicly Available Full Text
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https://doi.org/10.1175/JCLI-D-18-0607.1

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