Miao et al. (2025) Comparing the Linkage between Springtime Central Pacific Cross-Equatorial Winds and Wintertime ENSO Events in Reanalyses and CMIP6 Models

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Journal of Climate
• Year: 2025
• Date: 2025-12-09
• Authors: Yujie Miao, Tao Lian, Juan Feng, Yueyue Yu, Li Yadi, Wenzhu Wang, Xichen Li
• DOI: 10.1175/jcli-d-25-0240.1

Research Groups

Not explicitly mentioned in the abstract, but the study involves analysis of climate models from the Coupled Model Intercomparison Project phase 6 (CMIP6) and reanalysis datasets, implying a focus within the climate science community.

Short Summary

This study assesses the fidelity of the springtime cross-equatorial meridional wind anomaly as an El Niño–Southern Oscillation (ENSO) precursor in CMIP6 models, finding that models underestimate this relationship primarily due to overestimating ENSO persistence, but successfully reproduce the linkage when the springtime ENSO signal is removed.

Objective

• To assess how accurately CMIP6 climate models reproduce the observed relationship between springtime cross-equatorial meridional wind anomalies over the central Pacific and subsequent ENSO events, and to identify the underlying reasons for any discrepancies.

Study Configuration

• Spatial Scale: Equatorial central Pacific, focusing on cross-equatorial meridional winds and sea surface temperature (SST) anomalies.
• Temporal Scale: Seasonal to sub-annual, examining lead-lag relationships over 8 months between springtime anomalies and following winter ENSO events.

Methodology and Data

• Models used: Coupled Model Intercomparison Project phase 6 (CMIP6) climate models.
• Data sources: Reanalysis datasets (for observed relationships), CMIP6 model outputs (for model fidelity assessment).

Main Results

• All CMIP6 models substantially underestimate the observed relationship between springtime cross-equatorial meridional wind anomalies and subsequent ENSO events.
• This underestimation is largely attributed to the models' overestimation of ENSO persistence, indicated by elevated autocorrelation between springtime and wintertime ENSO indices.
• In reanalysis datasets, the springtime cross-equatorial wind anomaly leads ENSO events by 8 months with a correlation coefficient of up to 0.63.
• In reanalyses, the springtime cross-equatorial wind anomaly often coincides with a cold SST anomaly in the cold tongue but precedes a warm SST anomaly in the following winter.
• Upon removing the springtime ENSO signal from the analysis, most CMIP6 models successfully reproduce a strong linkage between springtime cross-equatorial winds and subsequent ENSO events.

Contributions

• Reaffirms the critical role of springtime meridional wind anomalies as a precursor in shaping ENSO evolution.
• Provides valuable insights into specific biases (overestimated ENSO persistence) in CMIP6 models that hinder accurate simulation of ENSO dynamics and predictability.
• Offers a pathway for correcting model biases and improving model performance in simulating ENSO by highlighting the importance of disentangling precursor signals from existing ENSO persistence.

Funding

Not explicitly mentioned in the abstract.

Citation

@article{Miao2025Comparing,
  author = {Miao, Yujie and Lian, Tao and Feng, Juan and Yu, Yueyue and Yadi, Li and Wang, Wenzhu and Li, Xichen},
  title = {Comparing the Linkage between Springtime Central Pacific Cross-Equatorial Winds and Wintertime ENSO Events in Reanalyses and CMIP6 Models},
  journal = {Journal of Climate},
  year = {2025},
  doi = {10.1175/jcli-d-25-0240.1},
  url = {https://doi.org/10.1175/jcli-d-25-0240.1}
}