Combining geostatistics and Kalman filtering for data assimilation in an estuarine system

DOI10.1088/0266-5611/18/1/301zbMath0998.62096OpenAlexW2112899962MaRDI QIDQ4328885

Geir Evensen, Hans Wackernagel, Laurent Bertino

Publication date: 30 July 2002

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/932262e58adcd7b41754e4c623c80c7b45837c54

zbMATH Keywords

Kalman filternonlinear state-space modelestuarine system

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics to environmental and related topics (62P12) Geostatistics (86A32)

Related Items (8)

Sequential Data Assimilation Techniques in Oceanography ⋮ A simulation-based geostatistical approach to real-time reconciliation of the grade control model ⋮ Resource model updating for compositional geometallurgical variables ⋮ A recursive linear MMSE filter for dynamic systems with unknown state vector means ⋮ Sampling error distribution for the ensemble Kalman filter update step ⋮ Making use of online production data: sequential updating of mineral resource models ⋮ Resource and grade control model updating for underground mining production settings ⋮ Reconstruction, optimization, and design of heterogeneous materials and media: basic principles, computational algorithms, and applications

This page was built for publication: Combining geostatistics and Kalman filtering for data assimilation in an estuarine system