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

By Laurent Bertino, Geir Evensen, Hans Wackernagel. 2002

64 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering, Oceanography

View Paper: https://www.semanticscholar.org/paper/fe7f2623a9a8831ee2dd5659cd2e618774cce8f0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Laurent Bertino
2. Geir Evensen
3. Hans Wackernagel
4. Michael Dowd
5. Dean S. Oliver
6. Yan Chen
7. Marc Bocquet
8. Dongxiao Zhang

In Environmental Engineering

1. Geir Evensen
2. Hans Wackernagel
3. Laurent Bertino

In Oceanography

1. Laurent Bertino
2. Geir Evensen
3. Hans Wackernagel
4. Michael Dowd
5. Yan Chen
6. Dean S. Oliver
7. Dongxiao Zhang
8. Marc Bocquet

Citations in the corpus

• The Ensemble Kalman Filter: theoretical formulation and practical implementation (2003, methodology): “Bertino et al. (2002) applied the EnKF and the Reduced Rank Square Root (RRSQRT) filter with a model for the Odra estuary.”
• Sequential Data Assimilation Techniques in Oceanography (2003, methodology): “This model is also used to compare the EnKF to the RRSQRT Kalman filter (Bertino et al., 2002).”