Estimation of Spatial Global Positioning System Zenith Delay observation error covariance

Tellus, Series A: Dynamic Meteorology and Oceanography

Volumn 57, Issue 2, 2005, Pages 194-203

  Eresmaa, Reima ^a   Järvinen, Heikki ^a  

^a FINNISH METEOROLOGICAL INSTITUTE   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; GPS; GROUND-BASED MEASUREMENT; REMOTE SENSING; SIGNAL PROCESSING; SPATIAL VARIATION;

EID: 14944387011     PISSN: 02806495     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1600-0870.2005.00096.x     Document Type: Article

References (20)

1. Alber, C., Ware, R., Rocken, C. and Braun, J. 2000. Obtaining single path phase delays from GPS double differences. Geophys. Res. Lett. 27, 2661-2664.
2. Bevis, M., Businger, S., Herring, T., Rocken, C., Anthes, R. et al. 1992. GPS meteorology: remote sensing of atmospheric water vapor using the Global Positioning System. J. Geophys. Res. 97, 15787-15801.
3. Bormann, N., Saarinen, S., Kelly, G. and Thépaut, J.-N. 2003. The spatial structure of observation error in atmospheric motion vectors from geostationary satellite data. Mon. Wea. Rev. 131, 706-718.
4. Bouttier, F. and Courtier, P. 1999. Data assimilation concepts and methods. ECMWF meteorological training course lecture notes. 58 pp. Available from ECMWF, Shinfield Park, Reading, RG2 9AX, UK.
5. Daley, R. 1991. Atmospheric Data Analysis. Cambridge Atmospheric and Space Science Series. Cambridge University Press, Cambridge, 457 pp.
6. De Pondeca, M. and Zou, X. 2001. A case study of the variational assimilation of GPS zenith delay observations into a mesoscale model. J. Appl. Meteorol. 40, 1559-1576.
7. Dee, D. P. and da Silva, A. M. 1999. Maximum-likelihood estimation of forecast and observation error covariance parameters. Part I: methodology. Mon. Wea. Rev. 127, 1822-1834.
8. Dee, D. P., Gaspari, G., Redder, C., Rukhovets, L. and da Silva, A. M. 1999. Maximum-likelihood estimation of forecast and observation error covariance parameters. Part II: applications. Mon. Wea. Rev. 127, 1835-1849.
9. Gustafsson, N. 2002. Assimilation of ground-based GPS data in HIRLAM 3D-Var. Proceedings of the HIRLAM Workshop on Variational Data Assimilation and Remote Sensing, Finnish Meteorological Institute, Helsinki 21-23 Jan 2002. 89-96. Available from the HIRLAM Project, c/o Per Undén, SMHI, S-60176 Norrköping, Sweden.
10. Gustafsson, N., Berre, L., Hörnquist, S., Huang, X.-Y., Lindskog, M. et al. 2001.Three-dimensional variational data assimilation for a limited area model. Part I: general formulation and the background error constraint. Tellus 53A, 425-446.
11. Haase, J., Ge, M., Vedel, H. and Calais, E. 2003. Accuracy and variability of GPS tropospheric delay measurements of water vaporin the Western Mediterranean. J.Appl. Meteorol. 42, 1547-1568.
12. Hollingsworth, A. and Lönnberg, R 1986. The statistical structure of short-range forecast errors as determined from radiosonde data. Part I: the wind field. Tellus 38A, 111-136 (HL86).
13. Järvinen, H., Andersson, E. and Bouttier, F. 1999. Variational assimilation of time sequences of surface observations with serially correlated errors. Tellus 51A, 469-488.
14. Lindskog, M., Gustafsson, N., Navascués, B., Mogensen, K. S., Huang, X.-Y. et al. 2001. Three-dimensional variational data assimilation for a limited area model. Part II: observation handling and assimilation experiments. Tellus 53A, 447-468.
15. McClatchey, R. A., Fenn, R. W., Selby, J. E. A., Volz, F. E. and Garing, J. S. 1971. Optical properties of the atmosphere. Report AFCRL-710279, Air Force Cambridge Research Laboratories. 85 pp. Available from Air Force Geophysics Laboratory, Hanscom Air Force Base, MA 01731, USA.
16. Saastamoinen, J. 1972. Atmospheric correction for the troposphere and stratosphere in radio ranging of satellites. In: The Use of Artificial Satellites for Geodesy, Geophysics Monograph Series Vol. 15 (eds S. W. Henriksen, A. Mancini, and B. H. Chovitz). AGU, Washington, DC, 247-251.
17. Stoew, B. 2004. Description and analysis of data and errors in GPS meteorology. Technical report No. 469. Chalmers University of Technology, 90 pp.
18. Thiébaux, H. 1985. On approximations to geopotential and wind-field correlation structures. Tellus 37A, 126-131.
19. Undén, P., Rontu, L., Järvinen, H., Lynch, P., Calvo, J. et al. 2002. HIRLAM-5 Scientific Documentation. 144 pp. Available from Hirlam-5 Project, c/o Per Undén, SMHI, S-60176, Norrköping, Sweden.
20. Ware, R., Alber, C., Rocken, C. and Solheim, F. 1997. Sensing integrated water vapor along GPS ray paths. Geophys. Res. Lett. 24, 417-420.