Asymmetricity of ground-based GPS slant delay data

Atmospheric Chemistry and Physics

Volumn 7, Issue 12, 2007, Pages 3143-3151

  Eresmaa, R ^a   Jarvinen H ^a   Niemela S ^a   Salonen, K ^a  

^a FINNISH METEOROLOGICAL INSTITUTE   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ASYMMETRY; ATMOSPHERE; DATA; GPS; PREDICTION; TROPOSPHERE; WEATHER FORECASTING;

EID: 34250789292     PISSN: 16807316     EISSN: 16807324     Source Type: Journal    
DOI: 10.5194/acp-7-3143-2007     Document Type: Article

References (20)

1. Berre, L.: Estimation of synoptic and mesoscale forecast error covariances in a limited area model, Mon. Wea. Rev., 128, 644667, 2000.
2. Bevis, M., Businger, S., Herring, T., Rocken, C., Anthes, R., and Ware, R.: GPS meteorology: Remote sensing of atmospheric water vapor using the Global Positioning System, J. Geophys. Res., 97, 15787-15801,1992.
3. Boehm, J., Niell, A., Tregoning, P., and Schuh, H.: Global Mapping Function (GMF): A new empirical mapping function based on numerical weather model data, Geophys. Res. Lett., 33, L07304, doi: 10.1029/2005GL025546, 2006.
4. Bouttier, F.: The AROME mesoscale project, in: Proceedings of a seminar on Recent developments in data assimilation for atmosphere and ocean, 8-12 September 2003, European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, Berkshire, England, pp. 433-448, 2004.
5. de Haan, S., van derMarel, H., and Barlag, S.: Comparison of GPS slant delay measurements to a numerical model: case study of a cold front passage, Phys. Chem. Earth, 27, 317-322, 2002.
6. De Pondeca, M. and Zou, X.: A case study of the variational assimilation of GPS zenith delay observations into a mesoscale model, J. Appl. Meteorol., 40, 1559-1576, 2001.
7. Elgered, G., Plag, H.-R, van der Marel, H., Barlag, S., and Nash, J., eds.: COST Action 716: Exploitation of ground-based GPS for operational numerical weather prediction and climate applications, Final report, Rep. EUR 21639, European Union, 234 pp., 2005.
8. Elosegui, P. and Davis, J.: Accuracy assessment of GPS slant-path determinations, in: Proc. International Workshop on GPS meteorology, Tsukuba, Japan, 14-17 Jan 2003, edited by: Iwabuchi, T. and Shoji, Y, 1-35-1-1-35-6, 2004.
9. Eresmaa, R. and Järvinen, H.: An observation operator for groundbased GPS slant delays, Tellus, 58A, 131-140, 2006.
10. Gustafsson, N., Berre, L., Hörnquist, S., Huang, X.-Y, Lindskog, M., Navascués B., Mogensen, K. S., and Thorsteinsson, S.: Three-dimensional variational data assimilation for a limited area model. Part I: General formulation and the background error constraint, Tellus, 53A, 425-46, 2001.
11. Ha, S.-Y, Kuo, Y.-H., Quo, Y.-R., and Lim, G.-H.: Variational assimilation of slant path wet delay measurements from a hypothetical ground-based GPS network. Part I: Comparison with precipitable water assimilation, Mon. Wea. Rev., 131, 2635-2655, 2003.
12. Hollingsworth, A., Viterbo, P., and Simmons, A. J.: The relevance of numerical weather prediction for forecasting natural hazards and for monitoring the global environment, Tech. Memo. 361, ECMWF, European Centre for Medium-Range Weather Forecasts, ShinfieldPark, Reading, Berkshire, England, 29 pp., 2002.
13. Järvinen, H., Eresmaa, R., Vedel, H., Salonen, K., Niemelä, S., and de Vries, J.: A variational data assimilation system for ground-based GPS slant delays, Q. J. Roy. Meteor. Soc., in press, 2007.
14. Lindskog, M., Gustafsson, N., Navascués, B., Mogensen, K. S., Huang, X.-Y., Yang, X., Andre, U., Berre, L., Thorsteinsson, S., and Rantakokko, J.: Three-dimensional variational data assimilation for a limited area model. Part II: Observation handling and assimilation experiments, Tellus, 53A, 447-468, 2001.
15. Liu, H. and Xue, M.: Retrieval of moisture from slant-path water vapor observations of a hypothetical GPS network using a threedimensional variational scheme with anisotropic background error, Mon. Wea. Rev., 134, 933-949, 2006.
16. MacDonald, A. E., Xie, Y., and Ware, R. H.: Diagnosis of threedimensional water vapor using a GPS network, Mon. Wea. Rev., 130, 386-397, 2002.
17. Niell, A.: Global mapping functions for the atmosphere delay at radio wavelengths, J. Geophys. Res., 101, 3227-3246, 1996.
18. Niemelä, S. and Fortelius, C.: Applicability of large scale convection and condensation parameterization to meso-y-scale HIRLAM: A case study of a convective event, Mon. Wea. Rev., 133, 2422-2435, 2005.
19. Undén, P., Rontu, L., Järvinen, H., Lynch, P., Calvo, J., Cats, G., Cuxart, J., Eerola, K., Fortelius, C., Garcia-Moya, J. A., Jones, C., Lenderlink, G., McDonald, A., McGrath, R., Navascués, B., Woetman Nielsen, N., ødegaard, V., Rodriguez, E., Rummukainen, M., Room, R., Sattler, K., Hansen Sass, B., Savijärvi, H., Wichers Schreur, B., Sigg, R., The, H., and Tijm, A.: HIRLAM-5 Scientific Documentation, Hirlam-5 Project, available from Hirlam-5 Project, c/o Per Undén, SMHI, S-60176, Norrköping, Sweden. 144 pp., 2002.
20. Vedel, H. and Huang, X.-Y: Impact of Ground Based GPS Data on Numerical Weather Prediction, J. Meteor. Soc. Japan, 82, 459-472, 2004.