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    Further Insights on the Influence of the Indian Ocean Dipole on the Following Year’s ENSO from Observations and CMIP5 Models

    Source: Journal of Climate:;2015:;volume( 029 ):;issue: 002::page 637
    Author:
    Jourdain, Nicolas C.
    ,
    Lengaigne, Matthieu
    ,
    Vialard, Jérome
    ,
    Izumo, Takeshi
    ,
    Gupta, Alexander Sen
    DOI: 10.1175/JCLI-D-15-0481.1
    Publisher: American Meteorological Society
    Abstract: ecent observational studies have suggested that negative and positive Indian Ocean dipole (IOD) events (nIOD and pIOD, respectively) favor a transition toward, respectively, El Niño and La Niña events one year later. These statistical inferences are however limited by the length and uncertainties in the observational records. This paper compares observational datasets with twenty-one 155-yr historical simulations from phase 5 of CMIP (CMIP5) to assess IOD and El Niño?Southern Oscillation (ENSO) properties along with their synchronous and delayed relationships. In the observations and most CMIP5 models, it is shown that El Niños tend to be followed by La Niñas but not the opposite, that pIODs co-occur more frequently with El Niños than nIODs with La Niñas, that nIODs tend to be followed by El Niños one year later less frequently than pIODs by La Niñas, and that including an IOD index in a linear prediction based on the Pacific warm water volume improves ENSO peak hindcasts at 14 months lead. The IOD?ENSO delayed relationship partly results from a combination of ENSO intrinsic properties (e.g., the tendency for El Niños to be followed by La Niñas) and from the synchronous IOD?ENSO relationship. The results, however, reveal that this is not sufficient to explain the high prevalence of pIOD?Niña transitions in the observations and 75% of the CMIP5 models, and of nIOD?Niño transitions in 60% of CMIP5 models. This suggests that the tendency of IOD to lead ENSO by one year should be explained by a physical mechanism that, however, remains elusive in the CMIP5 models. The ability of many CMIP5 models to reproduce the delayed influence of the IOD on ENSO is nonetheless a strong incentive to explore extended-range dynamical forecasts of ENSO.
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      Further Insights on the Influence of the Indian Ocean Dipole on the Following Year’s ENSO from Observations and CMIP5 Models

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    contributor authorJourdain, Nicolas C.
    contributor authorLengaigne, Matthieu
    contributor authorVialard, Jérome
    contributor authorIzumo, Takeshi
    contributor authorGupta, Alexander Sen
    date accessioned2017-06-09T17:12:45Z
    date available2017-06-09T17:12:45Z
    date copyright2016/01/01
    date issued2015
    identifier issn0894-8755
    identifier otherams-81168.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4224141
    description abstractecent observational studies have suggested that negative and positive Indian Ocean dipole (IOD) events (nIOD and pIOD, respectively) favor a transition toward, respectively, El Niño and La Niña events one year later. These statistical inferences are however limited by the length and uncertainties in the observational records. This paper compares observational datasets with twenty-one 155-yr historical simulations from phase 5 of CMIP (CMIP5) to assess IOD and El Niño?Southern Oscillation (ENSO) properties along with their synchronous and delayed relationships. In the observations and most CMIP5 models, it is shown that El Niños tend to be followed by La Niñas but not the opposite, that pIODs co-occur more frequently with El Niños than nIODs with La Niñas, that nIODs tend to be followed by El Niños one year later less frequently than pIODs by La Niñas, and that including an IOD index in a linear prediction based on the Pacific warm water volume improves ENSO peak hindcasts at 14 months lead. The IOD?ENSO delayed relationship partly results from a combination of ENSO intrinsic properties (e.g., the tendency for El Niños to be followed by La Niñas) and from the synchronous IOD?ENSO relationship. The results, however, reveal that this is not sufficient to explain the high prevalence of pIOD?Niña transitions in the observations and 75% of the CMIP5 models, and of nIOD?Niño transitions in 60% of CMIP5 models. This suggests that the tendency of IOD to lead ENSO by one year should be explained by a physical mechanism that, however, remains elusive in the CMIP5 models. The ability of many CMIP5 models to reproduce the delayed influence of the IOD on ENSO is nonetheless a strong incentive to explore extended-range dynamical forecasts of ENSO.
    publisherAmerican Meteorological Society
    titleFurther Insights on the Influence of the Indian Ocean Dipole on the Following Year’s ENSO from Observations and CMIP5 Models
    typeJournal Paper
    journal volume29
    journal issue2
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-15-0481.1
    journal fristpage637
    journal lastpage658
    treeJournal of Climate:;2015:;volume( 029 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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