Implementations of CSU hydrometeor classification scheme for C-band polarimetric radars

11th Conference on Mesoscale Processes and the 32nd Conference on Radar Meteorology

Volumn , Issue , 2005, Pages 383-387

  Baldini, L ^a   Gorgucci, E ^a   Chandrasekar, V ^b   Peterson, Walt ^c  

^a CNR   (Italy)

^b Department of Ecosystem Science and Sustainability   (United States)

^c UNIVERSITY OF ALABAMA IN HUNTSVILLE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33745275195     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Baldini, L.,Gorgucci E., and V. Chandrasekar, 2004: Hydrometeor classification methodology for C-band polarimetric radars, 3rd European Conf. on Radar Meteorology and Hydrology. Copernicus Gmbh,62-66.
2. Bringi, V.N and V. Chandrasekar, 2001: Polarimetric Doppler weather radar: principles and applications. Cambridge University Press, 648 pp.
3. Cremonini, R., Bechini, R., Alberoni, P.P., and M. Celano, 2004: Which hydrometeor classification scheme is realistic using ZH, ZDR and temperature in complex orography? A study based on operational C band polarimetric weather radar in northern Italy. 3rd European Conf. on Radar Meteorology and Hydrology, Copernicus Gmbh, 93-397.
4. Höller, H., Hagen, M., Meischner, P. F., Bringi, V. N., and J. Hubbert, 1994: Life cycle and precipitation formation in a hybrid-type hailstorm revealed by polarimetric and Doppler radar measurements. J. Atmos. Sci., 51, 2500-2522.
5. Keenan, T, 1999: Hydrometeor classification with a C-band polarimetric radar. 29th AMS Conf. On Radar Meteorology, Amer. Meteor. Soc.
6. Lim, S., Chandrasekar, V., and V.N. Bringi, 2005: Hydrometeor classification system using dual-polarization radar measurements: model improvements and in situ verification. IEEE Trans. Geosci. Remote Sens., 43, 792-801.
7. Liu H., and V. Chandrasekar, 2000: Classification of hydrometeors based on polarimetric radar measurements: development of fuzzy logic and neurofuzzy systems, and in situ verification. J. Atmos. Oceanic Technol., 17, 140-164.
8. Ryzhkov, A.V., Schuur, T.J., Burgess, D.W., Heinselman, P. L., Giangrande, S.E., and D.S. Zrnić, 2005: The joint polarization experiment: polarimetric rainfall measurements and hydrometeor classification. Bull. Amer. Meteor. Soc, 86, 809-824.
9. Testud, J., Le Bouar, E. Obligis, E., and M. Ali-Mehenni, 2000: The rain profiling algorithm applied to polarimetric weather radar. J. Atmos. Oceanic Technol., 17,332-356.
10. Vivekanandan, J., Ellis, S.M., Oye, R., Zrnić, D.S., Ryzhkov, A.V., and J. Straka 1999: Cloud micro-physics retrieval using S-band dual-polarization radar measurements. Bull. Amer. Meteor. Soc., 80, 381-388.
11. Zrnić, D.S., Ryzhkov, A.V., Straka, J., Liu Y., and J. Vivekanandan, 2001: Testing a procedure for automatic classification of hydrometeor types. J. Atmos. Oceanic Tecnnol., 18, 892-913.