Using Kalman Filtering to Improve and Quantify the Uncertainty of Numerical Groundwater Simulations: 1. The Role of System Noise and Its Calibration

Water Resources Research

Volumn 27, Issue 8, 1991, Pages 1987-1994

  Van Geer, Frans C ^a   Te Stroet, Chris B M ^a   Yangxiao, Zhou ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

GROUNDWATER FLOW MODEL; HYDRAULIC HEAD; KALMAN FILTER; MODEL CALIBRATION; NOISE; UNCERTAINTY;

EID: 0026277678     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1029/91WR00509     Document Type: Article

References (17)

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7. Stochastic analysis of nonstationary subsurface solute transport, 2, Conditional moments
8. Stochastic analysis of spatial variability in subsurface flows, Evaluation and application
9. A new approach to linear filtering and prediction problems
10. Application of Kalman filtering to groundwater basin modelling and prediction, Real‐Time Forecasting/Control of Water Resource Systems
11. Approaches to adaptive filtering
12. Using Kalman filtering to improve and quantify the uncertainty of numerical groundwater simulations, 2, Application to monitoring network design