Bias aware Kalman filters: Comparison and improvements
By Jean-philippe Drecourt, Henrik Madsen, D. Rosbjerg. 2006
87 citations recorded by the source corpus.
Subfields: Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/1226cf4bc8b76734f899999c577b4f0eb6efe12d
How researchers see this paper
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In Environmental Engineering
- Yuqiong Liu
- Hoshin V. Gupta
- Jasper A. Vrugt
- Thorsten Wagener
- M. Clark
- P. Pokhrel
- N. Bulygina
- Mojtaba Sadegh
Citations in the corpus
- Estimating near future regional corn yields by integrating multi-source observations into a crop growth model (2013, background): “Thus, future complex agro-ecological coupled models will require some improvements in the sampling algorithm to reduce sampling errors introduced by random perturbation and to improve data assimilation results (Drecourt et al., 2006).”
- Uncertainty in hydrologic modeling: Toward an integrated data assimilation framework (2007, methodology): “[89] Another way of conducting joint state-parameter estimation is to extend the current state vector with the model parameters, a technique known as ‘‘state augmentation’’ [e.g., Gelb, 1974; Drécourt et al., 2005].”