Atmospheric Data Assimilation

By Alan O'Neill. 2000

134 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/c2ba4cf1d7c3bc6b7891621914dbf74f1e9292e5

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. Brian R. Hunt
2. John Harlim
3. Elana J. Fertig
4. Takemasa Miyoshi
5. Pavel Sakov
6. Geir Evensen
7. Laurent Bertino
8. Q. Xiao

In Global and Planetary Change

1. Brian R. Hunt
2. John Harlim
3. Elana J. Fertig
4. Takemasa Miyoshi
5. Pavel Sakov
6. Geir Evensen
7. Laurent Bertino
8. Q. Xiao

Citations in the corpus

• A comparative study of 4D-VAR and a 4D Ensemble Kalman Filter: perfect model simulations with Lorenz-96 (2007, background): “Though not yet operational, experiments such as those of Houtekamer et al. (2005), Szunoygh et al. (2005), and Whitaker et al. (2004) have shown the potential of EnKF for operational data assimilation.”