Variational algorithms for analysis and assimilation of meteorological observations: theoretical aspects

Tellus A

Volumn 38 A, Issue 2, 1986, Pages 97-110

  DIMET, FRANÇOIS‐XAVIER LE ^a   TALAGRAND, OLIVIER ^b  

^a UNIVERSITÉ CLERMONT AUVERGNE   (France)

^b LABORATOIRE DE MÉTÉOROLOGIE DYNAMIQUE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84976403108     PISSN: 02806495     EISSN: 16000870     Source Type: Journal    
DOI: 10.1111/j.1600-0870.1986.tb00459.x     Document Type: Article

References (29)

1. An operational objective analysis system
2. Variational nonlinear normal mode initialization
3. Applications of estimation theory to numerical weather prediction
4. Physical interpretation of the adjoint functions for sensitivity analysis of atmospheric models
5. A correspondence between Bayesian estimation on stochastic processes and smoothing by splines
6. On a bundle algorithm for non‐smooth optimization
7. The use of adjoint equations to solve a variational adjustment problem with advective constraints
8. Incorporation of time continuity into subsynoptic analysis by using dynamical constraints
9. A global three‐dimensional multivariate statistical interpolation scheme
10. Combined penalty multiplier optimization methods to enforce integral invariants conservation
11. A variational initialization method for the fields of the meteorological elements
12. An objective analysis based on the variational method
13. Some basic formalisms in numerical variational analysis
14. Satellite data assimilation using NASA data systems test 6 observations
15. Kinematic analyses for a major winter storm during Amtex 75
16. Variational normal mode initialization for the ECMWF gridpoint model
17. Three‐dimensional wind field analysis from dual‐Doppler radar data, part I. Filtering, interpolating and differentiating the raw data
18. On variational normal mode initialization
19. Variational methods in simultaneous optimum interpolation and initialization