Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/122984
Share/Export:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Title

Atlantic opportunities for ENSO prediction

AuthorsMartín-Rey, Marta CSIC ORCID; Rodríguez-Fonseca, Belén CSIC ORCID; Polo, Irene
KeywordsENSO
El Niño–Southern Oscillation
Climate variability
Issue Date26-Aug-2015
PublisherAmerican Geophysical Union
Wiley-Blackwell
CitationGeophysical Research Letters, 42(16): 6802–6810 (2015)
AbstractEl Niño–Southern Oscillation (ENSO) is the dominant mode of interannual climate variability with worldwide impacts. The knowledge of ENSO drivers and the underlying mechanisms is crucial to improve ENSO prediction, which still remains a challenge. The recently discovered connection between an Atlantic Niño (Niña) and a Pacific Niña (Niño), through an air-sea coupled mechanism during the first and last decades of the twentieth century, highlights an opportunity for ENSO prediction. Here a statistical cross-validated hindcast of ENSO along the twentieth century is presented, considering the Atlantic sea surface temperatures as the unique predictor field, and a set of atmospheric and oceanic variables related to the Atlantic-Pacific connection as the predictand field. The observed ENSO phase is well reproduced, and the skill is enhanced at the beginning and the end of the twentieth century. Understanding this multidecadal modulation of the Atlantic-Pacific connection could help to improve seasonal-to-decadal forecasts of ENSO and its associated impacts.
Publisher version (URL)http://onlinelibrary.wiley.com/doi/10.1002/2015GL065062/abstract
URIhttp://hdl.handle.net/10261/122984
DOI10.1002/2015GL065062
ISSN0094-8276
E-ISSN1944-8007
Appears in Collections:(IGEO) Artículos

Files in This Item:
File Description SizeFormat
GRL_2015_MartinRey.pdf5,25 MBAdobe PDFThumbnail
View/Open
Show full item record
Review this work

WEB OF SCIENCETM
Citations

26
checked on Nov 23, 2021

Google ScholarTM

Check

Altmetric

Dimensions


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.