Detecting weather radar clutter by information fusion with satellite images and numerical weather prediction model output

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2006, Pages 515-518

  Bøvith, Thomas ^a,b   Nielsen, Allan Aasbjerg ^a   Hansen, Lars Kai ^a   Overgaard, Søren ^b   Gill, Rashpal S ^b  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b DANISH METEOROLOGICAL INSTITUTE   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION ANALYSIS; INFORMATION FUSION; NUMERICAL METHODS; SATELLITE IMAGERY; WEATHER FORECASTING;

METEOSAT-8 MULTISPECTRAL IMAGES; NUMERICAL WEATHER PREDICTION MODEL OUTPUT;

RADAR IMAGING;

EID: 34948856877     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2006.136     Document Type: Conference Paper

References (13)

1. P. Meischner, Ed., Weather Radar: Principles and Advanced Applications. Berlin, Heidelberg, Germany: Springer-Verlag, 2004.
2. M. Steiner and J. A. Smith, "Use of three-dimensional reflectivity structure for automated detection and removal of nonprecipitating echoes in radar data," Journal of Atmospheric and Oceanic Technology, vol. 19, no. 5, pp. 673-686, 2002.
3. D. B. Michelson and D. Sunhede, "Spurious weather radar echo identification and removal using multisource temperature information," Meteorological Applications, vol. 11, no. 1, pp. 1-14, 2004.
4. J. A. Pamment and B. J. Conway, "Objective identification of echoes due to anomalous propagation in weather radar data," Journal of Atmospheric and Oceanic Technology, vol. 15, no. 1, pp. 98-113, 1998.
5. V. N. Bringi and V. Chandrasekar, Polarimetric Doppler Weather Radar: Principles and Applications. New York, NY, USA: Cambridge University Press, 2001.
6. A. V. Ryzhkov and D. S. Zrnic, "Polarimetric rainfall estimation in the presence of anomalous propagation," Journal of Atmospheric and Oceanic Technology, vol. 15, no. 6, pp. 1320-1330, 1998.
7. G. S. Pankiewicz, C. J. Johnson, and D. L. Harrison, "Improving radar observations of precipitation with a Meteosat neural network classifier," Meteorology and Atmospheric Physics, vol. 76, no. 1-2, pp. 9-22, 2001.
8. J. Bech, B. Codina, J. Lorente, and D. Bebbington, "Monthly and daily variations of radar anomalous propagation conditions: How "normal" is normal propagation?" in Proceedings of Second European Conference on Radar Meteorology (ERAD 2002), Delft, Netherlands, November 2002, pp. 35-39.
9. J. Schmetz, P. Pili, S. Tjemkes, D. Just, J. Kerkmann, S. Rota, and A. Ratier, "An introduction to Meteosat second generation (MSG)," Bulletin of the American Meteorological Society, vol. 83, no. 7, pp. 977-992, 2002.
10. "Software user manual for PGE04 of the NWCSAF/MSG: Scientific part," EUMETSAT, Satellite Application Facility to NoWCasting and Very Short Range Forecasting 1.2, 2005.
11. C. Pohl and J. L. van Genderen, "Multisensor image fusion in remote sensing: concepts, methods and applications," International Journal of Remote Sensing, vol. 19, no. 5, pp. 823-854, 1998.
12. T. Lindeberg, "Scale-space theory: A basic tool for analysing structures at different scales," Journal of Applied Statistics, vol. 21, no. 2, pp. 224-270, 1994.
13. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2nd ed. New York, NY, USA: Wiley-Interscience, 2000.