2016
DOI: 10.1007/s00382-016-3270-9
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ENSO feedbacks and their relationships with the mean state in a flux adjusted ensemble

Abstract: in using the total linear BJ index alone to assess the reasons for ENSO amplitude biases and its future change in models.

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Cited by 15 publications
(17 citation statements)
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“…It is true that the multimodel mean projects an El Niño‐like state (Collins et al, ; Tierney et al, ), with increased precipitation in the central and eastern equatorial Pacific in all seasons. However, competing feedback processes control intensity, duration, and variability of ENSO events (Ferrett & Collins, ). Discrepancies in the strength of these competing feedbacks could result in an erroneous shift of climate toward an El Niño‐like base state in response to rising greenhouse gases (Cane et al, ; Clement et al, ; Coats & Karnauskas, ; Kohyama et al, ; Kohyama & Hartmann, ).…”
Section: Discussionmentioning
confidence: 99%
“…It is true that the multimodel mean projects an El Niño‐like state (Collins et al, ; Tierney et al, ), with increased precipitation in the central and eastern equatorial Pacific in all seasons. However, competing feedback processes control intensity, duration, and variability of ENSO events (Ferrett & Collins, ). Discrepancies in the strength of these competing feedbacks could result in an erroneous shift of climate toward an El Niño‐like base state in response to rising greenhouse gases (Cane et al, ; Clement et al, ; Coats & Karnauskas, ; Kohyama et al, ; Kohyama & Hartmann, ).…”
Section: Discussionmentioning
confidence: 99%
“…The BJ index has been used to study ENSO-amplitude diversity among CGCMs (Ferrett & Collins, 2016;Kim et al, 2014;Kim & Jin, 2011). The BJ index has also been used to study potential ENSO changes in a warmer climate (Ferrett & Collins, 2016;Kim & Jin, 2011). The BJ index has also been used to study potential ENSO changes in a warmer climate (Ferrett & Collins, 2016;Kim & Jin, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…In theory, a larger BJ index is associated with larger ENSO amplitude. Further, the potential influence from atmospheric noise has been discussed in this context (Ferrett & Collins, 2016). However, this correlation breaks down in models participating in CMIP5 (due to a few outliers).…”
Section: Introductionmentioning
confidence: 99%
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