Sequential State and Variance Estimation within the Ensemble Kalman Filter
By Jonathan R. Stroud, Thomas Bengtsson. 2007
51 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/3837fc1a2621245620838f1160e52534bb0348d5
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
- Mohamad E. Gharamti
- Marc Bocquet
- Manuel Pulido
- Alberto Carrassi
- Takemasa Miyoshi
- Yicun Zhen
- Pierre Tandeo
- Pierre Ailliot
In Global and Planetary Change
- Mohamad E. Gharamti
- Marc Bocquet
- Manuel Pulido
- Alberto Carrassi
- Takemasa Miyoshi
- Yicun Zhen
- Pierre Tandeo
- Pierre Ailliot
Citations in the corpus
- A Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation (2018, methodology): “579 As pointed out in Stroud and Bengtsson (2007), Bayesian update algorithms work best when the 580 number of unknown parameters in θ is small.”
- Enhanced Adaptive Inflation Algorithm for Ensemble Filters (2018, background): “The prior Instead of a Gaussian, we will explore representing the inflation prior by an inverse gamma (IG) distribution (Stroud and Bengtsson 2007).”
- Human Insula Activation Reflects Risk Prediction Errors As Well As Risk (2008, background): “Human Insula Activation Reflects Risk Prediction Errors As”