The Hybrid Local Ensemble Transform Kalman Filter

By Stephen G. Penny. 2014

68 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/c8c41d65989d0f526848031f96c7556d54bcd482

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

1. Takemasa Miyoshi
2. Stephen G. Penny
3. Mohamad E. Gharamti
4. Marc Bocquet
5. Masaru Kunii
6. Manuel Pulido
7. Juan J. Ruiz
8. Jeffrey L. Anderson

In Environmental Engineering

1. Takemasa Miyoshi
2. Stephen G. Penny

In Global and Planetary Change

1. Takemasa Miyoshi
2. Stephen G. Penny
3. Mohamad E. Gharamti
4. Marc Bocquet
5. Masaru Kunii
6. Manuel Pulido
7. Juan J. Ruiz
8. Jeffrey L. Anderson

Citations in the corpus

• A local particle filter for high-dimensional geophysical systems (2015, methodology): “Penny (2014) addressed the impact of varying localization radius on LETKF for this L96 system.”
• A review of operational methods of variational and ensemble‐variational data assimilation (2017, unknown): “Penny SG. 2014.”