Sequential weak constraint parameter estimation in an ecosystem model

By S. Losa, G. Kivman, J. Schröter, M. Wenzel. 2003

67 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/c086bc129b7b93b74d5289154613a2cf20118b8a

How researchers see this paper

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

In Global and Planetary Change

1. Michael Dowd
2. P. Jan
3. Ehouarn Simon
4. Laurent Bertino
5. van Leeuwen
6. Lawrence M. Murray
7. Dean S. Oliver
8. Yan Chen

In Oceanography

1. Michael Dowd
2. P. Jan
3. Ehouarn Simon
4. Laurent Bertino
5. van Leeuwen
6. Lawrence M. Murray
7. Geir Evensen
8. Emlyn Jones

Citations in the corpus

• A sequential Monte Carlo approach for marine ecological prediction (2006, methodology): “, 2003; Natvik and Evensen, 2003) and sequential importance resampling (Losa et al., 2003).”
• Particle Filtering in Geophysical Systems (2009, methodology): “Losa et al. (2003) used particle filtering with probabilistic resampling in a combined state-parameter estimation problem.”
• Bayesian statistical data assimilation for ecosystem models using Markov Chain Monte Carlo (2007, methodology): “, 2003; Natvik and Evensen, 2003), while SIR based applications have used ensemble sizes of 1000 (Losa et al., 2003).”
• Gaussian anamorphosis extension of the DEnKF for combined state parameter estimation: Application to a 1D ocean ecosystem model (2012, methodology): “In the same way, Losa et al. (2003) successfully applied a SIR filter for a combined state-parameter estimation in a 1-”