Radar-based precipitation type analysis in the Baltic area

Tellus, Series A: Dynamic Meteorology and Oceanography

Volumn 58, Issue 3, 2006, Pages 331-343

  Walther, Andi ^a   Bennartz, Ralf ^a,b  

^a FREIE UNIVERSITÄT BERLIN   (Germany)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PRECIPITATION (CLIMATOLOGY); RADAR IMAGERY;

BALTIC REGION; EURASIA;

EID: 33645582398     PISSN: 02806495     EISSN: 16000870     Source Type: Journal    
DOI: 10.1111/j.1600-0870.2006.00183.x     Document Type: Article

References (19)

1. Anagnostou, N. E. and Kummerow, C. 1997. Stratiform and convective classification of rainfall using SSM/I 85-Ghz brightness temperature observations. J. Atmos. Oceanic Technol. 14, 570-575.
2. Appleman, H. S. 1960. A fallacy in the use of skill scores. Bull. Amer. Meteor. 41, 64-67.
3. Biggerstaff, M. and Listemaa, S. 2000. An improved scheme for convective/ stratiform echo classification using radar reflectivity. Journal of Applied Meteorology 39, 2129-2150.
4. Brier, G. W. and Allen, R. A. 1952. Verification of weather forecasts. In: Compendium of Meteorology, Amer. Meteor. Soc. Boston, 841-848.
5. Hanssen, A. W. and Kuipers, W. 1965. On the relationship between the frequency of rain and various meteorological parameters. Koninklijk Nederlands Meteorologisch Institut. Meded. Verhand. 81, 2-15.
6. Heidke, P. 1926. Berechnung des Erfolges und der Güte der Windstärkevorhersagen im Sturmwarnungsdienst. Geogr. Ann. 8, 301-349.
7. Marquard, A. 1963. An algorithm for least-squares estimation of nonliniear parameters. SIAM J. Appl. Math. 11, 413-441.
8. Michelson, D., Andersson, T., Koistinen, J., Collier, C., Riedl, J. and co-authors, 2000. BALTEX Radar DATA Centre Products and their Methodologies. Technical Report RMK 90, SMHI, SE-60176 Norrköping, Sweden.
9. Pankiewicz, G. S. 1997. Neural network classification of convective air masses for a flood forecating system. Int. J. Remote Sensing 18, 887-898.
10. Rumelhart, D. and McClelland, J. 1986. Parallel Distributed Processing Vol. 1. Cambridge, MA, MIT press, 547 pp.
11. Schowengerdt, R., 1997. Remote sensing, models and methods for image processing. Academic press, 522 pp.
12. Shepherd, G. W., Cluckie, I. D., Collier, C. G., Yu, S. and James, P. K. 1988. The identification of rainfall type from weather radar data. Meteorological Magazine 117, 180-186.
13. Skomorowski, P., Clemens, M., Bumke, K., Rudolf, B. and Rubel, F. 2003. Observed precipitation climatology for the Baltic. Geophysical Research Abstracts 5, 10-133.
14. Steiner, M., Houze, R. A. Jr. and Yuter, S. 1995. Climatological characterizations of three-dimensional storm structure from operational radar and rain gauge data. Journal of Applied Meteorology 34, 1978-2007.
15. Sumner, G. N. 1988. Precipitation: Process and Analysis. John Wiley & Sons Ltd., New York, 455 pp.
16. Tetzlaff, G. and Hagemann, N. 1986. Bemerkungen zum Niederschlag in Hannover. Meteorologische Rundschau 39, 1-12.
17. Tian, B., Shaikh, M. A., Azimi-Sadjadi, M. R., Vonder Haar, T. H. and Reinke, D. L. 1999. A study of cloud classification with neural networks using spectral and textural features. IEEE Transactions on Neural Networks 10 (1), 138-151.
18. Uddstrom, M. J. and Gray, W. 1995. Satellite cloud classification and rain-rate estimation using multispectral radiances and measures of spatial texture. Journal of Applied Meteorology 35, 839-858.
19. Woodcok, F. 1976. The Evaluation of Yes/No Forecasts for Scientific and Administrative Purposes. Monthly Weather Review 104, 1209-1214.