Improved variational analyses using a nonlinear humidity control variable
By N. Ingleby, A. Lorenc, King Ngi Ngan, F. Rawlins, D. Jackson. 2013
50 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/8fabc4427f4d6a431baa64cfbd6a7db2306e00c1
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
- D. Barker
- Adam Clayton
- A. Lorenc
- R. Bannister
- Xuguang Wang
- J. Poterjoy
- Xiaobing H. Feng
- Xiangjun Tian
In Global and Planetary Change
- D. Barker
- Adam Clayton
- A. Lorenc
- R. Bannister
- Xuguang Wang
- J. Poterjoy
- Xiaobing H. Feng
- Xiangjun Tian
In Oceanography
Citations in the corpus
- Operational implementation of a hybrid ensemble/4D‐Var global data assimilation system at the Met Office (2013, methodology): “If we were to incorporate ensemble-based variances, we would use the variance estimation approach of Raynaud et al. (2009). On the other hand, if we adopted variational QC (Ingleby and Lorenc, 1993; Andersson and Järvinen, 1999), then our hybrid covariances would automatically be used in quality con”