Modulation of Westerly Wind Bursts by Sea Surface Temperature: A Semistochastic Feedback for ENSO
By G. Gebbie, I. Eisenman, Andrew T. Wittenberg, Eli Tziperman. 2007
181 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/960c4574e0f42cfeea00897c33c2bc91b92b3226
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In Atmospheric Science
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Citations in the corpus
- Does Model Parameter Error Cause a Significant “Spring Predictability Barrier” for El Niño Events in the Zebiak–Cane Model? (2012, background): “The model errors may arise from various schemes of physical parameterizations (Syu and Neelin 2000), atmospheric noise, or other high frequency variations such as westerly wind bursts and the Madden–Julian oscillation (Gebbie et al. 2007; Tang and Yu 2008; Marshall et al. 2009).”
- Atmosphere‐ocean coupled processes in the Madden‐Julian oscillation (2015, background): “This cooperative or multiplicative feedback of MJO winds and ENSO has been demonstrated with a variety of models [Perez et al., 2005; Gebbie et al., 2007; Kapur and Zhang, 2012; Lopez et al., 2013].”
- The Low-Resolution CCSM4 (2012, background): “Purely kinematic arguments suggest that the ENSO amplitude has to depend on the zonal as well as vertical temperature gradient along the equator (e.g.; Schopf and Burgman 2006), but nonlinear feedbacks between SST and wind anomalies complicate the matter (e.g.; Gebbie et al. 2007).”
- Improved ensemble-mean forecasting of ENSO events by a zero-mean stochastic error model of an intermediate coupled model (2016, background): “…there are the explicit air–sea heat interactions (e.g., Tziperman et al. 1997), the stochastic atmospheric forcing (e.g., Madden–Julian oscillation; Gebbie et al. 2007), the fresh water flux (FWF) and its related salinity (e.g., Zheng and Zhang 2012, 2015), the influences from the Indian Ocean…”
- A simple approach to quantifying the noise–ENSO interaction. Part I: deducing the state-dependency of the windstress forcing using monthly mean data (2015, background): “Satellite wind observations have shown the importance of these WWBs and their eastward propagation in initiating El Niño events (Tziperman and Yu 2007) as well as simplified model experiments showing how this type of forcing can lead to more and larger El Niño events (Eisenman et al. 2005; Lengaigne”