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ENSO skewness hysteresis and associated changes in strong El Niño under a CO2 removal scenario

  • Chao Liu
  • , Soon Il An
  • , Fei Fei Jin
  • , Malte F. Stuecker
  • , Wenjun Zhang
  • , Jong Seong Kug
  • , Xinyi Yuan
  • , Jongsoo Shin
  • , Aoyun Xue
  • , Xin Geng
  • , Soong Ki Kim
  • Yonsei University
  • Pohang University of Science and Technology
  • University of Hawai'i at Mānoa
  • Nanjing University of Information Science & Technology
  • China Meteorological Administration
  • Jiangsu Meteorological Service Centre

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

El Niño-Southern Oscillation (ENSO) sea surface temperature (SST) anomaly skewness encapsulates the nonlinear processes of strong ENSO events and affects future climate projections. Yet, its response to CO2 forcing remains not well understood. Here, we find ENSO skewness hysteresis in a large ensemble CO2 removal simulation. The positive SST skewness in the central-to-eastern tropical Pacific gradually weakens (most pronounced near the dateline) in response to increasing CO2, but weakens even further once CO2 is ramped down. Further analyses reveal that hysteresis of the Intertropical Convergence Zone migration leads to more active and farther eastward-located strong eastern Pacific El Niño events, thus decreasing central Pacific ENSO skewness by reducing the amplitude of the central Pacific positive SST anomalies and increasing the scaling effect of the eastern Pacific skewness denominator, i.e., ENSO intensity, respectively. The reduction of eastern Pacific El Niño maximum intensity, which is constrained by the SST zonal gradient of the projected background El Niño-like warming pattern, also contributes to a reduction of eastern Pacific SST skewness around the CO2 peak phase. This study highlights the divergent responses of different strong El Niño regimes in response to climate change.

Original languageEnglish
Article number117
Journalnpj Climate and Atmospheric Science
Volume6
Issue number1
DOIs
StatePublished - Dec 2023
Externally publishedYes

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