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Theoretical Basis and Application of an Analogue- Dynamical Model in the Lorenz System


doi: 10.1007/s00376-009-0067-3

  • The theoretical basis and application of an analogue-dynamical model (ADM) in the Lorenz system is studied. The ADM can effectively combine statistical and dynamical methods in which the small disturbance of the current initial value superimposed on the historical analogue reference state can be regarded as a prediction objective. Primary analyses show that under the condition of appending disturbances in model parameters, the model errors of ADM are much smaller than those of the pure dynamical model (PDM). The characteristics of predictability on the ADM in the Lorenz system are analyzed in phase space by conducting case studies and global experiments. The results show that the ADM can quite effectively reduce prediction errors and prolong the valid time of the prediction in most situations in contrast to the PDM, but when model errors are considerably small, the latter will be superior to the former. To overcome such a problem, the multi-reference-state updating can be applied to introduce the information of multi-analogue and update analogue and can exhibit exciting performance in the ADM.
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Manuscript History

Manuscript received: 10 January 2009
Manuscript revised: 10 January 2009
通讯作者: 陈斌, bchen63@163.com
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Theoretical Basis and Application of an Analogue- Dynamical Model in the Lorenz System

  • 1. Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081; College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000;College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000;College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000;Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081

Abstract: The theoretical basis and application of an analogue-dynamical model (ADM) in the Lorenz system is studied. The ADM can effectively combine statistical and dynamical methods in which the small disturbance of the current initial value superimposed on the historical analogue reference state can be regarded as a prediction objective. Primary analyses show that under the condition of appending disturbances in model parameters, the model errors of ADM are much smaller than those of the pure dynamical model (PDM). The characteristics of predictability on the ADM in the Lorenz system are analyzed in phase space by conducting case studies and global experiments. The results show that the ADM can quite effectively reduce prediction errors and prolong the valid time of the prediction in most situations in contrast to the PDM, but when model errors are considerably small, the latter will be superior to the former. To overcome such a problem, the multi-reference-state updating can be applied to introduce the information of multi-analogue and update analogue and can exhibit exciting performance in the ADM.

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