The 'spring predictability barrier' for ENSO predictions and its possible mechanism: results from a fully coupled model
- Author
- WANSUO DUAN1 ; CHAO WEI2
[1] LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
[2] National Climate Center, Chinese Meteorology Administration, Beijing, China - Source
International journal of climatology. 2013, Vol 33, Num 5, pp 1280-1292, 13 p ; ref : 1 p.1/4
- ISSN
- 0899-8418
- Scientific domain
- Climatology, meteorology
- Publisher
- Wiley, Chichester
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- ENSO error growth predictability
- Keyword (fr)
- Anomalie El Nino La Nina Modèle atmosphère océan Propagation erreur Prédictabilité Température surface marine Variabilité climatique El Niño Oscillation australe Modèle couplé Prévision climatique
- Keyword (en)
- anomalies El Nino La Nina Ocean-atmosphere model Growth of error Predictability Sea surface temperature climate variability El Niño Southern Oscillation Coupled model Climate forecast
- Keyword (es)
- Anomalía Propagación error Predictabilidad Temperature superficie marina El Niño Oscilación Austral Modelo acoplado Previsión del clima
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E02 External geophysics / 001E02D Meteorology / 001E02D10 Climatology. Bioclimatology. Climate change
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E02 External geophysics / 001E02F Geophysics. Techniques, methods, instrumentation and models
- Discipline
- External geophysics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 27204330
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1002/joc.3513 
https://dx.doi.org/10.1002/joc.3513
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