Comparison of Precipitation Observations from
a Prototype Space-based Cloud Radar
and Ground-based Radars |
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Authors: | LIU Liping ZHANG Zhiqiang YU Danru YANG Hu ZHAO Chonghui and ZHONG Lingzhi |
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Institution: | State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081;State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081;Science and Technology on Milimeter-wave Laboratory, Beijing 100854;National Satellite Meteorological Center, Beijing 100081;Science and Technology on Milimeter-wave Laboratory, Beijing 100854;State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081 |
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Abstract: | A prototype space-based cloud radar has been developed and was installed on
an airplane to observe a precipitation system over Tianjin, China in July
2010. Ground-based S-band and Ka-band radars were used to examine the
observational capability of the prototype. A cross-comparison algorithm
between different wavelengths, spatial resolutions and platform radars is
presented. The reflectivity biases, correlation coefficients and standard
deviations between the radars are analyzed. The equivalent reflectivity bias
between the S- and Ka-band radars were simulated with a given raindrop size
distribution. The results indicated that reflectivity bias between the S-
and Ka-band radars due to scattering properties was less than 5 dB, and for
weak precipitation the bias was negligible. The prototype space-based cloud
radar was able to measure a reasonable vertical profile of reflectivity, but
the reflectivity below an altitude of 1.5 km above ground level was obscured
by ground clutter. The measured reflectivity by the prototype space-based
cloud radar was approximately 10.9 dB stronger than that by the S-band
Doppler radar (SA radar), and 13.7 dB stronger than that by the ground-based
cloud radar. The reflectivity measured by the SA radar was 0.4 dB stronger
than that by the ground-based cloud radar. This study could provide a method
for the quantitative examination of the observation ability for space-based
radars. |
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Keywords: | space-based cloud radar observational capability field
experiment cloud observation |
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