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A Primitive Research on Precipitation Observation Parameters with 35 GHZ Cloud Radar

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Communications, Signal Processing, and Systems (CSPS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

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Abstract

Weather radar is a traditional remote sensing tool for precipitation observation and analysis. Compared with millimeter wave radar, it is less affected by attenuation, but at the same time, it has lower spatial and temporal resolution normally. Cloud radar has shorter wavelength and can detect basic information of cloud, such as cloud height, thickness and other parameters. It provides a fantastic technique to study fine structure for clouds. But due to the attenuation effect it is rarely used to analyze precipitation. In this paper, A cloud radar and a C-band weather radar nearby are used to analyze two precipitation processes. The Z-I relationship can be obtained by combining ground automatic precipitation observation at the same site of the cloud radar. By a primitive research in this paper, the characteristics of stratiform precipitation was obtained by analyzing the reflectivity vertical profiles, layer mean reflectivity and standard deviation from cloud radar and C-band radar, and it shows that some useful information can be retrieved using cloud radar observation even under precipitation conditions. So with the higher spatial and temporal resolution, more research work will be focused on the fine vertical structure characteristics retrieval from cloud radar observation in the future.

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Acknowledgments

This research is supported by Beijing Municipal Natural Science Foundation (Grant No. 8141002), Scientific Project of Chengdu University of Information Technology (Grant No. KYTZ201529) and National Key Basic Research Program of China (Grant No. 2014CB441401).

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Correspondence to Chen Lai .

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Lai, C., Su, D., Qi, Y. (2019). A Primitive Research on Precipitation Observation Parameters with 35 GHZ Cloud Radar. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_194

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_194

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

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