Predicting El Niño in 2014 and 2015.
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Authors
Ineson, Sarah
Balmaseda, Magdalena A
Davey, Michael K
Decremer, Damien
Dunstone, Nick J
Gordon, Margaret
Ren, Hong-Li
Scaife, Adam A
Publication Date
2018-07-16Journal Title
Sci Rep
ISSN
2045-2322
Publisher
Springer Science and Business Media LLC
Volume
8
Issue
1
Pages
10733
Language
eng
Type
Article
Physical Medium
Electronic
Metadata
Show full item recordCitation
Ineson, S., Balmaseda, M. A., Davey, M. K., Decremer, D., Dunstone, N. J., Gordon, M., Ren, H., et al. (2018). Predicting El Niño in 2014 and 2015.. Sci Rep, 8 (1), 10733. https://doi.org/10.1038/s41598-018-29130-1
Abstract
Early in 2014 several forecast systems were suggesting a strong 1997/98-like El Niño event for the following northern hemisphere winter 2014/15. However the eventual outcome was a modest warming. In contrast, winter 2015/16 saw one of the strongest El Niño events on record. Here we assess the ability of two operational seasonal prediction systems to forecast these events, using the forecast ensembles to try to understand the reasons underlying the very different development and outcomes for these two years. We test three hypotheses. First we find that the continuation of neutral ENSO conditions in 2014 is associated with the maintenance of the observed cold southeast Pacific sea surface temperature anomaly; secondly that, in our forecasts at least, warm west equatorial Pacific sea surface temperature anomalies do not appear to hinder El Niño development; and finally that stronger westerly wind burst activity in 2015 compared to 2014 is a key difference between the two years. Interestingly, in these years at least, this interannual variability in wind burst activity is predictable. ECMWF System 4 tends to produce more westerly wind bursts than Met Office GloSea5 and this likely contributes to the larger SST anomalies predicted in this model in both years.
Keywords
0405 Oceanography, Emerging Infectious Diseases
Identifiers
External DOI: https://doi.org/10.1038/s41598-018-29130-1
This record's URL: https://www.repository.cam.ac.uk/handle/1810/284609
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