Puy M., Vialard Jérôme, Lengaigne Matthieu, Guilyardi E., DiNezio P. N., Voldoire A., Balmaseda M., Madec G., Menkès Christophe, McPhaden M. J. (2019). Influence of Westerly Wind Events stochasticity on El Nino amplitude : the case of 2014 vs. 2015. Climate Dynamics, 52 (12), p. 7435-7454. ISSN 0930-7575.
Titre du document
Influence of Westerly Wind Events stochasticity on El Nino amplitude : the case of 2014 vs. 2015
Puy M., Vialard Jérôme, Lengaigne Matthieu, Guilyardi E., DiNezio P. N., Voldoire A., Balmaseda M., Madec G., Menkès Christophe, McPhaden M. J.
Source
Climate Dynamics, 2019,
52 (12), p. 7435-7454 ISSN 0930-7575
The weak El Nino of 2014 was preceded by anomalously high equatorial Pacific Warm Water Volume (WWV) and strong Westerly Wind Events (WWEs), which typically lead to record breaking El Nino, like in 1997 and 2015. Here, we use the CNRM-CM5 coupled model to investigate the causes for the stalled El Nino in 2014 and the necessary conditions for extreme El Ninos. This model is ideally suited to study this problem because it simulates all the processes thought to be critical for the onset and development of El Nino. It captures El Nino preconditioning by WWV, the WWEs characteristics and their deterministic behaviour in response to warm pool displacements. Our main finding is, that despite their deterministic control, WWEs display a sufficiently strong stochastic component to explain the distinct evolutions of El Nino in 2014 and 2015. A 100-member ensemble simulation initialized with early-spring equatorial conditions analogous to those observed in 2014 and 2015 demonstrates that early-year elevated WWV and strong WWEs preclude the occurrence of a La Nina but lead to El Ninos that span the weak (with few WWEs) to extreme (with many WWEs) range. Sensitivity experiments confirm that numerous/strong WWEs shift the El Nino distribution toward larger amplitudes, with a particular emphasis on summer/fall WWEs occurrence which result in a five-fold increase of the odds for an extreme El Nino. A long simulation further demonstrates that sustained WWEs throughout the year and anomalously high WWV are necessary conditions for extreme El Nino to develop. In contrast, we find no systematic influence of easterly wind events (EWEs) on the El Nino amplitude in our model. Our results demonstrate that the weak amplitude of El Nino in 2014 can be explained by WWEs stochastic variations without invoking EWEs or remote influences from outside the tropical Pacific and therefore its peak amplitude was inherently unpredictable at long lead-time.
