Two-year dynamical predictions of ENSO event duration during 1954-2015
Wu, X., Okumura, Y. M., Deser, C., & DiNezio, P. N. (2021). Two-year dynamical predictions of ENSO event duration during 1954-2015. Journal Of Climate, 34, 4069-4087. doi:10.1175/JCLI-D-20-0619.1
El Nino and La Nina events show a wide range of durations over the historical record. The predictability of event duration has remained largely unknown, although multiyear events could prolong their climate impacts. To explore the predictability of El Nino and La Nina event duration, multiyear en... Show moreEl Nino and La Nina events show a wide range of durations over the historical record. The predictability of event duration has remained largely unknown, although multiyear events could prolong their climate impacts. To explore the predictability of El Nino and La Nina event duration, multiyear ensemble forecasts are conducted with the Community Earth System Model, version 1 (CESM1). The 10-40-member forecasts are initialized with observed oceanic conditions on 1 March, 1 June, and 1 November of each year during 1954-2015; ensemble spread is created through slight perturbations to the atmospheric initial conditions. The CESM1 predicts the duration of individual El Nino and La Nina events with lead times ranging from 6 to 25 months. In particular, forecasts initialized in November, near the first peak of El Nino or La Nina, can skillfully predict whether the event continues through the second year with 1-yr lead time. The occurrence of multiyear La Nina events can be predicted even earlier with lead times up to 25 months, especially when they are preceded by strong El Nino. The predictability of event duration arises from initial thermocline depth anomalies in the equatorial Pacific, as well as sea surface temperature anomalies within and outside the tropical Pacific. The forecast error growth, on the other hand, originates mainly from atmospheric variability over the North Pacific in boreal winter. The high predictability of event duration indicates the potential for extending 12-month operational forecasts of El Nino and La Nina events by one additional year. Show less