Analysis of 94 GHz Cloud Radar Calibration Based on Disdrometer Measurements
Felix J. Yanovsky (National Aviation University, TU Delft - Atmospheric Remote Sensing)
C.M.H. Unal (TU Delft - Atmospheric Remote Sensing)
Aleksander A. Pitertsev (National Aviation University)
Herman Russchenberg (TU Delft - Geoscience and Remote Sensing)
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Abstract
This paper describes the results of the research fulfilled in TU-Delft by joint Ukrainian and Dutch team. It analyzes multi-instrument rain observations, using the instrument set, which includes W-band cloud radar, laser optical disdrometers, weather station, and microwave radiometer. New friendly interface software is developed, presented, and used as a tool for comparison and fusion of diverse sensors datasets. The results obtained demonstrate the synergy of multi-instrument measurements and corresponds to the overarching trends of big data analysis. The intricacies of combining data from various sources to enhance calibration and improve the accuracy of atmospheric studies is discussed. In particular, analysis of 94 GHz cloud radar calibration based on disdrometer measurements with application of additional multi-instrument measurements is performed.