 |
| Titel |
Evolutionary modeling-based approach for model errors correction |
| VerfasserIn |
S. Q. Wan, W. P. He, L. Wang, W. Jiang, W. Zhang |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1023-5809
|
| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 19, no. 4 ; Nr. 19, no. 4 (2012-08-14), S.439-447 |
| Datensatznummer |
250014232
|
| Publikation (Nr.) |
 copernicus.org/npg-19-439-2012.pdf |
|
|
|
|
|
| Zusammenfassung |
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. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|