![Hier klicken, um den Treffer aus der Auswahl zu entfernen](images/unchecked.gif) |
Titel |
Using a spatio-temporal dynamic state-space model with the EM algorithm to patch gaps in daily riverflow series |
VerfasserIn |
B. A. Amisigo, N. C. Giesen |
Medientyp |
Artikel
|
Sprache |
Englisch
|
ISSN |
1027-5606
|
Digitales Dokument |
URL |
Erschienen |
In: Hydrology and Earth System Sciences ; 9, no. 3 ; Nr. 9, no. 3 (2005-09-20), S.209-224 |
Datensatznummer |
250006866
|
Publikation (Nr.) |
copernicus.org/hess-9-209-2005.pdf |
|
|
|
Zusammenfassung |
A spatio-temporal linear dynamic model has been developed for patching short
gaps in daily river runoff series. The model was cast in a state-space form
in which the state variable was estimated using the Kalman smoother (RTS
smoother). The EM algorithm was used to concurrently estimate both parameter
and missing runoff values. Application of the model to daily runoff series
in the Volta Basin of West Africa showed that the model was capable of
providing good estimates of missing runoff values at a gauging station from
the remaining time series at the station and at spatially correlated
stations in the same sub-basin. |
|
|
Teil von |
|
|
|
|
|