Mitigating Observation Perturbation Sampling Errors in the Stochastic EnKF
By Ibrahim Hoteit, Dinh Tuan Pham, Mohamad E. Gharamti, Xiaodong Luo. 2015
67 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/1896f2520ccb6071c1a67bdd5f510ead70094a41
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Atmospheric Science
- Marc Bocquet
- Laurent Bertino
- Alberto Carrassi
- Geir Evensen
- Pavel Sakov
- Dean S. Oliver
- Yan Chen
- Michael Dowd
In Global and Planetary Change
- Marc Bocquet
- Laurent Bertino
- Alberto Carrassi
- Geir Evensen
- Pavel Sakov
- Dean S. Oliver
- Yan Chen
- Michael Dowd
Citations in the corpus
- Data assimilation in the geosciences: An overview of methods, issues, and perspectives (2017, methodology): “Early attempts include the case of sparsely observed flow possessing a wide range of scales with a KF-like procedure (Harlim & Majda, 2010), or a study of the performance of the EnKF in a prototypical nonlinear dynamics possessing two scales of motion (Ballabrera-Poy, Kalnay, & Yang, 2009). On the s”