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contributor authorImada, Yukiko
contributor authorTatebe, Hiroaki
contributor authorIshii, Masayoshi
contributor authorChikamoto, Yoshimitsu
contributor authorMori, Masato
contributor authorArai, Miki
contributor authorWatanabe, Masahiro
contributor authorKimoto, Masahide
date accessioned2017-06-09T17:32:55Z
date available2017-06-09T17:32:55Z
date copyright2015/11/01
date issued2015
identifier issn0027-0644
identifier otherams-87069.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4230697
description abstractredictability 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.
publisherAmerican Meteorological Society
titlePredictability of Two Types of El Niño Assessed Using an Extended Seasonal Prediction System by MIROC
typeJournal Paper
journal volume143
journal issue11
journal titleMonthly Weather Review
identifier doi10.1175/MWR-D-15-0007.1
journal fristpage4597
journal lastpage4617
treeMonthly Weather Review:;2015:;volume( 143 ):;issue: 011
contenttypeFulltext


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