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| Titel |
Implementation of the ensemble Kalman filter into the BASCOE stratospheric chemistry model |
| VerfasserIn |
Sergey Skachko, Quentin Errera, Richard Ménard, Yves Christophe, Simon Chabrillat |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250091464
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| Publikation (Nr.) |
 EGU/EGU2014-5759.pdf |
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| Zusammenfassung |
| The local ensemble Kalman filter assimilation method is applied to the BASCOE (Belgian
Assimilation System for Chemical ObsErvations) stratospheric chemistry model. We use a
stochastic version of the EnKF, i.e. with perturbed observations. The EnKF developed in
BASCOE accounts for two adjustable parameters: a parameter α controlling the model error
term and a parameter r controlling the observational error. The EnKF system is shown to be
markedly sensitive to these two parameters, which are adjusted based on the monitoring of a
Ï2-test measuring the misfit between the control variable and the observations. The model
includes 57 chemical species with a full description of stratospheric chemistry. The
application of the EnKF to the full-chemistry model requires a careful tuning procedure of
the error covariances for each chemical species. The performance of the EnKF
method was estimated through the assimilation of Aura-MLS observations during an
8-month period which includes the formation of the 2008 Antarctic ozone hole. |
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