A kind of initial errors related to “spring predictability barrier” for El Niño events in Zebiak‐Cane model
By Mu Mu, Hui Xu, Wansuo Duan. 2007
146 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/c4ff10d07e20c07460369cca27abed6e3ba665ce
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In Atmospheric Science
In Global and Planetary Change
Citations in the corpus
- Does Model Parameter Error Cause a Significant “Spring Predictability Barrier” for El Niño Events in the Zebiak–Cane Model? (2012, methodology): “Furthermore, the mechanism by which the SPB develops remains debatable despite many hypotheses proposed to explain its occurrence (Webster and Yang 1992; Mu et al. 2007a).”
- A Method for Identifying the Sensitive Areas in Targeted Observations for Tropical Cyclone Prediction: Conditional Nonlinear Optimal Perturbation (2009, methodology): “A similar procedure was described in Oortwijn and Barkmeijer (1995) and Oortwijn (1998).”
- An Approach to Generating Mutually Independent Initial Perturbations for Ensemble Forecasts: Orthogonal Conditional Nonlinear Optimal Perturbations (2016, background): “Extreme events are much more likely to induce fast growth of initial errors (Mu et al. 2007; Duan et al. 2009), which, combined with the FIG.”
- Is model parameter error related to a significant spring predictability barrier for El Niño events? Results from a theoretical model (2010, background): “large prediction error; in particular, a prominent error growth occurs during the spring when the prediction is made before spring ( Mu et al., 2007a, 2007b; Duan et al., 2009; Yu et al., 2009).”