Importance of Ocean Initialization in ENSO Predictions: Accuracy Versus Consistency

Abstract Ocean initialization (OI) plays a crucial role in El Niño–Southern Oscillation (ENSO) predictions. This study investigates both the importance of OI accuracy and the detrimental effect of initialization shock caused by discretization differences between the OI generator and the forecast model, a developmental version of NOAA's next‐generation operational Seasonal Forecast System (SFS). Thirty years of hindcasts for May and November initializations are analyzed. Three ocean reanalysis products, ORAS5, ORAS5‐Replay (hereafter “Replay”), and GLORe, are tested for initialization. Although GLORe is less accurate than ORAS5 and Replay in representing the ocean state, it is the most consistent with SFS and produces the highest ENSO forecast skill at longer lead times for May initialization. These results suggest that minimizing initialization shock is as important as achieving accurate initial conditions for improving seasonal ENSO forecasts.

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Publication Details

Journal
Geophysical Research Letters
Published
2025-08-17
DOI
https://doi.org/10.1029/2025gl116972
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
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article

Importance of Ocean Initialization in ENSO Predictions: Accuracy Versus Consistency

Shan Sun, Yanyun Liu, Jieshun Zhu, Philip Pegion et al.
3 links
Geophysical Research Letters
Climate variability and models
article

Importance of Ocean Initialization in ENSO Predictions: Accuracy Versus Consistency

Shan Sun, Yanyun Liu, Jieshun Zhu, Philip Pegion, Neil P Barton, Wanqiu Wang
article en

Abstract

Abstract Ocean initialization (OI) plays a crucial role in El Niño–Southern Oscillation (ENSO) predictions. This study investigates both the importance of OI accuracy and the detrimental effect of initialization shock caused by discretization differences between the OI generator and the forecast model, a developmental version of NOAA's next‐generation operational Seasonal Forecast System (SFS). Thirty years of hindcasts for May and November initializations are analyzed. Three ocean reanalysis products, ORAS5, ORAS5‐Replay (hereafter “Replay”), and GLORe, are tested for initialization. Although GLORe is less accurate than ORAS5 and Replay in representing the ocean state, it is the most consistent with SFS and produces the highest ENSO forecast skill at longer lead times for May initialization. These results suggest that minimizing initialization shock is as important as achieving accurate initial conditions for improving seasonal ENSO forecasts.

Geophysical Research LettersVol. 52(16)
National Oceanic and Atmospheric Administration (US), NOAA National Centers for Environmental Prediction (US), NOAA Physical Sciences Laboratory (US), NOAA Climate Prediction Center, NOAA Earth System Research Laboratory (US)
Openalex Percentile: Top 80%
Climate variability and models
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