Application of ensemble-based data assimilation techniques for aquifer characterization using tracer data at Hanford 300 area

Subsurface aquifer characterization often involves high parameter dimensionality and requires tremendous computational resources if employing a full Bayesian approach. Ensemble‐based data assimilation techniques, including filtering and smoothing, are computationally efficient alternatives. Despite...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Water resources research 2013-10, Vol.49 (10), p.7064-7076
Hauptverfasser:	Chen, Xingyuan, Hammond, Glenn E., Murray, Chris J., Rockhold, Mark L., Vermeul, Vince R., Zachara, John M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Aquifers Boundary conditions Complex systems Data assimilation Data collection ensemble Kalman filter inverse modeling Parameter estimation
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!