## Abstract A frequent problem in forecasting fog or icy roads in a numerical weather prediction (NWP) system is attributed to the misinterpretation of the boundaryβlayer structure in the assimilation procedure. Caseβstudies showed that the misinterpretation of temperature inversions and stratocumu
Conditioning of incremental variational data assimilation, with application to the Met Office system
β Scribed by S. A. HABEN; A. S. LAWLESS; N. K. NICHOLS
- Book ID
- 111268971
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 165 KB
- Volume
- 63
- Category
- Article
- ISSN
- 0280-6495
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract Incremental fourβdimensional variational assimilation (4DβVar) is an algorithm that approximately solves a nonlinear minimization problem by solving a sequence of linearized (quadratic) minimization problems of the form where **x** is the control vector, **A** is a symmetric positiveβd
## Abstract In this paper, we describe the use of Canadian Quick (CQ) covariances in the Met Office assimilation system. These covariances have two particular advantages over other methods (such as the National Meteorological Center (NMC) method). First, they are calculated from a single long forec
## Abstract The original article to which this Erratum refers was published in Quarterly Journal of the Royal Meteorological Society, 2008