Enhanced Adaptive Inflation Algorithm for Ensemble Filters
By Mohamad E. Gharamti. 2018
61 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/04dbaba940ef9fea32eab3bbb857f8edb61c3afd
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
- Marc Bocquet
- Manuel Pulido
- Alberto Carrassi
- Takemasa Miyoshi
- Yicun Zhen
- Pierre Tandeo
- Pierre Ailliot
- Mohamad E. Gharamti
In Global and Planetary Change
- Marc Bocquet
- Manuel Pulido
- Alberto Carrassi
- Takemasa Miyoshi
- Yicun Zhen
- Pierre Tandeo
- Pierre Ailliot
- Mohamad E. Gharamti
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): “The most usual a priori distributions used by the authors are Gaussian in Anderson (2009),346 inverse-gamma in El Gharamti (2018) or inverse chi-square in Raanes et al. (2019).347 In practice, multiplicative inflation tends to excessively inflate in the data-sparse regions and348 inflate too little…”