Analysis methods for numerical weather prediction

Quarterly Journal of the Royal Meteorological Society

Volumn 112, Issue 474, 1986, Pages 1177-1194

  Lorenc, A C ^a  

^a MET OFFICE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

METEOROLOGY; STATISTICAL TECHNIQUES;

EID: 84975888044     PISSN: 00359009     EISSN: 1477870X     Source Type: Journal    
DOI: 10.1002/qj.49711247414     Document Type: Article

References (39)

1. Numerical weather map analysis
2. Statistical interpolation by means of successive corrections
3. Use of incomplete historical data to infer the present state of the atmosphere
4. An operational objective analysis scheme
5. Predictability experiments using a high‐resolution limited‐area model
6. Applications of estimation theory to numerical weather prediction
7. The statistical structure of short‐range forecast errors as determined from radiosonde data. Part I: The wind field. Part II: the covariance of height and wind error
8. An alternative method of solving weak constraint problem and a unified expression of weak and strong constraints in variational objective analysis
9. Generalization of multivariate optimum interpolation method and the roles of linear constraint and covariance matrix in the method. Part I: in discrete form. Part II: in continuous form
10. Kriging in terms of projections
11. Variational algorithms for analysis and assimilation of meteorological observations
12. The use of adjoint equations to solve a variational adjustment problem with advective constraints
13. A global three‐dimensional multivariate statistical analysis scheme
14. The treatment of humidity in ECMWF's data assimilation scheme
15. Determining the ocean circulation and improving the geoid from satellite altimetry
16. A cross‐validated Bayesian retrieval algorithm for non‐linear remote sensing experiments
17. On the completeness of multi‐variate optimum interpolation for large‐scale meteorological analysis
18. The spatial statistics of random geostrophic modes and first‐guess errors
19. Smoothing by spline functions
20. Retrieval of atmospheric temperature and composition from remote measurements of thermal radiation
21. Some basic formalisms on numerical variational analysis
22. An assessment of operational TIROS‐N temperature retrievals over the United States
23. Comparative real data tests of some objective analysis methods by withholding observations
24. Improper priors, spline smoothing and the problem of guarding against model errors in regression
25. Variational methods in simultaneous optimum interpolation and initialization
26. Some new mathematical methods for variational objective analysis using splines and cross validation