Variable update strategy to improve water quality forecast accuracy in multivariate data assimilation using the ensemble Kalman filter

Data assimilation in complex water quality modeling is inevitably multivariate because several water quality variables interact and correlate. In ensemble Kalman filter applications, determining which variables to include and the structure of the relationships among these variables is important to a...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Water research (Oxford) 2020-06, Vol.176, p.115711-115711, Article 115711
Hauptverfasser:	Park, Sanghyun, Kim, Kyunghyun, Shin, Changmin, Min, Joong-Hyuk, Na, Eun Hye, Park, Lan Joo
Format:	Artikel
Sprache:	eng
Schlagworte:	Ensemble kalman filter Forecasting Models, Theoretical Multivariate data assimilation Variable localization Water Quality Water quality modeling
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!