Improving ENSO prediction in a hybrid coupled model with an embedded entrainment temperature parameterisation

2012 ◽  
Vol 33 (2) ◽  
pp. 343-355 ◽  
Author(s):  
Jieshun Zhu ◽  
Guang-Qing Zhou ◽  
Rong-Hua Zhang ◽  
Zhaobo Sun

2003 ◽  
Vol 131 (11) ◽  
pp. 2748-2764 ◽  
Author(s):  
Eli Galanti ◽  
Eli Tziperman ◽  
Matthew Harrison ◽  
Anthony Rosati ◽  
Ziv Sirkes


2013 ◽  
Vol 500 ◽  
pp. 62-74 ◽  
Author(s):  
Qinge Dong ◽  
Di Xu ◽  
Shaohui Zhang ◽  
Meijian Bai ◽  
Yinong Li


2005 ◽  
Vol 12 (6) ◽  
pp. 807-815 ◽  
Author(s):  
S. Raynaud ◽  
P. Yiou ◽  
R. Kleeman ◽  
S. Speich

Abstract. This paper presents a statistical diagnostic to interpret the dynamics of nonlinear variability in models. It consists in applying the Multichannel Singular Spectrum Analysis to the variability of a suitable equation of a dynamical system. This method enables us to evaluate the sensitivity of the oscillatory features of a physical model to tendencies in its mathematical formulation. Hence, responses in amplitude and frequency are determined in the phase space of the model. The example of interannual variability of the tropical Pacific climate through the analysis the Sea Surface Temperature equation of a hybrid coupled model is used to illustrate and validate the methodology.





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