2019
DOI: 10.1016/j.dynatmoce.2019.03.004
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Diagnosing the spatiotemporal diversity of westerly wind events in the tropical Pacific

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Cited by 3 publications
(1 citation statement)
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“…This is consistent with Levine et al (2016) who show that most CMIP5 models underestimate state-dependent noise forcing. Nevertheless, our simple diagnostic ignores the spatio-temporal diversity of westerly wind bursts (Hao et al, 2019) which could in principle affect the oceanic impact (Puy et al, 2016) and the SST response to WWBs may also depend on the oceanic background state, and hence be affected by ocean model bias (Puy et al, 2019) so a more sophisticated analysis would be worthwhile to confirm our results.…”
Section: Discussionmentioning
confidence: 67%
“…This is consistent with Levine et al (2016) who show that most CMIP5 models underestimate state-dependent noise forcing. Nevertheless, our simple diagnostic ignores the spatio-temporal diversity of westerly wind bursts (Hao et al, 2019) which could in principle affect the oceanic impact (Puy et al, 2016) and the SST response to WWBs may also depend on the oceanic background state, and hence be affected by ocean model bias (Puy et al, 2019) so a more sophisticated analysis would be worthwhile to confirm our results.…”
Section: Discussionmentioning
confidence: 67%