A comparison of full-field and anomaly initialization for seasonal to decadal climate prediction
By Doug M. Smith, R. Eade, Holger Pohlmann. Climate Dynamics, 2013
168 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/0c050e33bd44fd564a500de5f4226fb9a521d398
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
- 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, background): “Comparisons between FFI and AI have revealed respective advantages and drawbacks, the strong regional and model-dependency of the results (see, e.g., Magnusson et al., 2013; Smith et al., 2013; Hazeleger et al., 2013; Carrassi et al., 2014)), and the fact that AI is a viable option only when the mod”