Comparing and Merging Observation Data from Ka-Band Cloud Radar, C-Band Frequency-Modulated Continuous Wave Radar and Ceilometer Systems

• DOI: 10.3390/rs9121282
• Publication Date: 2017-12-11T17:26:37Z
• Authors: Liping Liu; Zheng Ruan; Jiafeng Zheng; Wenhua Gao
• Keywords: Ceilometer

Field experiment in South China was undertaken to improve understanding of cloud and precipitation properties. Measurements the vertical structures non-precipitating precipitating clouds were obtained using passive active remote sensing equipment: a Ka-band radar (CR) system, C-band frequency modulated continuous wave pointing (CVPR), microwave radiometer laser ceilometer (CEIL). CR plays key role high-level observation, whereas CVPR is important for observing low- mid-level heavy precipitation. CEIL helps us diminish effects “clear-sky” planetary boundary layer. The took place Longmen, Guangdong Province, from May September 2016. This study focuses on evaluating ability two radars deliver consistent observation data develops an algorithm merge CR, data. Cloud echo base, thickness, observed types reflectivity distributions are analyzed Comparisons between collocated sets show that biases three operating modes less than 2 dB. averaged difference can be reduced with attenuation correction 3.57 dB original 4.82 No systemic velocity collected CVPR. corrected then merged fill gaps during periods reduce Bragg scattering fog observations Meanwhile, merging different Nyquist velocities resolutions diminishes folding provide fine-grain information about dynamics. daily which low-level tended occur at sunrise, noon sunset large differences average values observed. Mid- 1400 1800 BT. Few found height 3 5 km.