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Evolutionary Modeling-based Approach for Model Errors Correction : Volume 19, Issue 4 (14/08/2012)

By Wan, S. Q.

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Book Id: WPLBN0003973393
Format Type: PDF Article :
File Size: Pages 9
Reproduction Date: 2015

Title: Evolutionary Modeling-based Approach for Model Errors Correction : Volume 19, Issue 4 (14/08/2012)  
Author: Wan, S. Q.
Volume: Vol. 19, Issue 4
Language: English
Subject: Science, Nonlinear, Processes
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Jiang, W., Wang, L., Zhang, W., He, W. P., & Wan, S. Q. (2012). Evolutionary Modeling-based Approach for Model Errors Correction : Volume 19, Issue 4 (14/08/2012). Retrieved from

Description: Yangzhou Meteorological Office, Yangzhou, China. The inverse problem of using the information of historical data to estimate model errors is one of the science frontier research topics. In this study, we investigate such a problem using the classic Lorenz (1963) equation as a prediction model and the Lorenz equation with a periodic evolutionary function as an accurate representation of reality to generate observational data.

On the basis of the intelligent features of evolutionary modeling (EM), including self-organization, self-adaptive and self-learning, the dynamic information contained in the historical data can be identified and extracted by computer automatically. Thereby, a new approach is proposed to estimate model errors based on EM in the present paper. Numerical tests demonstrate the ability of the new approach to correct model structural errors. In fact, it can actualize the combination of the statistics and dynamics to certain extent.

Evolutionary modeling-based approach for model errors correction

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