Three-dimensional variational data assimilation for a limited area model : Part I: General formulation and the background error constraint
By N. Gustafsson, L. Berre, S. Hörnquist, Xiangyu Huang, M. Lindskog, B. Navascués, Kristian Mogensen, S. Thorsteinsson. 2001
145 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change, Modeling and Simulation
View Paper: https://www.semanticscholar.org/paper/c51fdf32eb7ae5e4479834e884353ea9bbd9883c
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
- R. Bannister
- L. Berre
- Margarida Pereira
- G. Desroziers
- F. Bouttier
- P. Brousseau
- T. Montmerle
- L. Raynaud
In Global and Planetary Change
- R. Bannister
- L. Berre
- Margarida Pereira
- G. Desroziers
- F. Bouttier
- P. Brousseau
- T. Montmerle
- L. Raynaud
Citations in the corpus
- The Use of an Ensemble Approach to Study the Background Error Covariances in a Global NWP Model (2006, methodology): “This method was used in limited-area models too (Berre 2000; Gustafsson et al. 2001).”
- A review of operational methods of variational and ensemble‐variational data assimilation (2017, background): “Strong-constraint 4D-Var may be further simplified to exclude part of the time dimension (Courtier et al., 1998; Gauthier et al., 1999; Lorenc et al., 2000; Gustafsson et al., 2001).”