Predictability of two types of El Niño assessed using an extended seasonal prediction system by MIROC

Yukiko Imada, Hiroaki Tatebe, Masayoshi Ishii, Yoshimitsu Chikamoto, Masato Mori, Miki Arai, Masahiro Watanabe, Masahide Kimoto

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

Predictability of El Niño-Southern Oscillation (ENSO) is examined using ensemble hindcasts made with a seasonal prediction system based on the atmosphere and ocean general circulation model, the Model for Interdisciplinary Research on Climate, version 5 (MIROC5). Particular attention is paid to differences in predictive skill in terms of the prediction error for two prominent types of El Niño: the conventional eastern Pacific (EP) El Niño and the central Pacific (CP) El Niño, the latter having a maximum warming around the date line. Although the system adopts ocean anomaly assimilation for the initialization process, it maintains a significant ability to predict ENSO with a lead time of more than half a year. This is partly due to the fact that the system is little affected by the "spring prediction barrier," because increases in the error have little dependence on the thermocline variability. Composite analyses of each type of El Niño reveal that, compared to EP El Niños, the ability to predict CP El Niños is limited and has a shorter lead time. This is because CP El Niños have relatively small amplitudes, and thus they are more affected by atmospheric noise; this prevents development of oceanic signals that can be used for prediction.

Original languageEnglish
Pages (from-to)4597-4617
Number of pages21
JournalMonthly Weather Review
Volume143
Issue number11
DOIs
Publication statusPublished - 2015
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

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