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Forecasting the El Niño type well before the spring predictability barrier
Earth Sciencesnpj Climate and Atmospheric Science

Forecasting the El Niño type well before the spring predictability barrier

J. Ludescher, A. Bunde, et al.

This groundbreaking research conducted by Josef Ludescher, Armin Bunde, and Hans Joachim Schellnhuber reveals that analyzing sea surface temperature anomalies enables early and accurate predictions of El Niño events. By understanding these patterns, we can implement crucial mitigation strategies up to a year in advance.... show more
Abstract
El Niño events represent anomalous episodic warmings, which can peak in the equatorial Central Pacific (CP events) or Eastern Pacific (EP events). The type of an El Niño (CP or EP) has a major influence on its impact and can even lead to either dry or wet conditions in the same areas on the globe. Here we show that the difference of the sea surface temperature anomalies between the equatorial western and central Pacific in December enables an early forecast of the type of an upcoming El Niño (p-value < 10⁻³). Combined with a previously introduced climate network-based approach that allows to forecast the onset of an El Niño event, both the onset and type of an upcoming El Niño can be efficiently forecasted. The lead time is about 1 year and should allow early mitigation measures. In December 2022, the combined approach forecasted the onset of an EP event in 2023.
Publisher
npj Climate and Atmospheric Science
Published On
Nov 22, 2023
Authors
Josef Ludescher, Armin Bunde, Hans Joachim Schellnhuber
Tags
El NiñoSea Surface TemperatureClimate PredictionClimate NetworkAnomaliesMitigation StrategiesStatistical Significance
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