Conditional nonlinear optimal perturbation and its applications to the studies of weather and climate predictability

By Mu Mu, Wansuo Duan. 2005

338 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/c800e476b4d8a1d3ed7acec0c64151a9d9a3d4d1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Wansuo Duan
2. Mu Mu
3. Hui Xu
4. Bin Wang
5. Yanshan Yu
6. Hongli Wang
7. Feifan Zhou

In Global and Planetary Change

1. Wansuo Duan
2. Mu Mu
3. Hui Xu
4. Bin Wang
5. Yanshan Yu
6. Hongli Wang
7. Feifan Zhou

In Oceanography

1. Mu Mu
2. Wansuo Duan
3. Hui Xu
4. Bin Wang

Citations in the corpus

• A kind of initial errors related to “spring predictability barrier” for El Niño events in Zebiak‐Cane model (2007, positive): “Considering that CNOP is the initial error that has largest effect on prediction results [Mu et al., 2003; Mu and Zhang, 2006], for each prediction experiment, we calculate the CNOPs of these reference states for the time interval length t = 12 with the above start months.”
• An Approach to Generating Mutually Independent Initial Perturbations for Ensemble Forecasts: Orthogonal Conditional Nonlinear Optimal Perturbations (2016, neutral): “Several studies showed that fastgrowing initial analysis errors are easily influenced by nonlinearity (Mu et al. 2003; Duan and Mu 2006).”
• Conditional nonlinear optimal perturbations as the optimal precursors for El Nino–Southern Oscillation events (2004, positive): “Owing to the absent of nonlinearity, TLM cannot always describe the maximum growth of the initial perturbation in nonlinear models [Oortwijin and Barkmeijier, 1995; Mu, 2000; Mu and Wang, 2001; Mu et al., 2003].”
• Is model parameter error related to a significant spring predictability barrier for El Niño events? Results from a theoretical model (2010, neutral): “To investigate the combined modes of multi-parameter errors, or of the initial error and model errors, the CNOP approach (Mu et al., 2003, 2010) was used in the experiments.”
• Nonlinear Nonmodal Stability Theory (2018, neutral): “…nonlinearity into this by an iterative approach (Oortwijn and Barkmeijer 1995, Barkmeijer 1996) as well as a fully nonlinear approach (Mu 2000, Mu et al. 2003, Mu & Zhang 2006, Mu & Jiang 2008a,b, Mu et al. 2010, Duan & Zhou 2013, Jiang et al. 2013, Ziqing et al. 2013, Dijkstra & Viebahn…”