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Attenuation Correction and Hydrometeor Classification of High-Resolution, X-band, Dual-Polarized Mobile Radar Measurements in Severe Convective Storms.
- Source :
-
Journal of Atmospheric & Oceanic Technology . Dec2010, Vol. 27 Issue 12, p1979-2001. 23p. 2 Black and White Photographs, 5 Charts, 12 Graphs. - Publication Year :
- 2010
-
Abstract
- X-band and shorter radar wavelengths are preferable for mobile radar systems because a narrow beam can be realized with a moderately sized antenna. However, attenuation by precipitation becomes progressively more severe with decreasing radar wavelength. As a result, X band has become a popular choice for meteorological radar systems that balances these two considerations. Dual-polarization provides several methods by which this attenuation (and differential attenuation) can be detected and corrected, mitigating one of the primary disadvantages of X-band radars. The dynamics of severe convective storms depend, to some extent, on the distribution and type of hydrometeors within the storm. To estimate the three-dimensional distribution of hydrometeors using X-band radar data, it is necessary to correct for attenuation before applying commonly used hydrometeor classification algorithms. Since 2002, a mobile dual-polarized Doppler weather radar designed at the University of Massachusetts, Amherst has been used to collect high-resolution data in severe convective storms in the plains. This study tests several attenuation correction procedures using dual-polarization measurements, along with a dual-frequency method using S-band Weather Surveillance Radar-1988 Doppler (WSR-88D) and KOUN data. After correcting for attenuation and differential attenuation, a fuzzy logic hydrometeor classification algorithm, modified for X band with KOUN data as a reference, is used to attempt a retrieval of hydrometeor types in observed severe convective storms. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 07390572
- Volume :
- 27
- Issue :
- 12
- Database :
- Academic Search Index
- Journal :
- Journal of Atmospheric & Oceanic Technology
- Publication Type :
- Academic Journal
- Accession number :
- 59526468
- Full Text :
- https://doi.org/10.1175/2010JTECHA1356.1