Japan Geoscience Union Meeting 2016

Presentation information


Symbol M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS14] Atmospheric Electricity

Mon. May 23, 2016 3:30 PM - 5:00 PM 203 (2F)

Convener:*Kazuhiko Miura(Faculty of Science, Tokyo University of Science), Masashi Kamogawa(Department of Physics, Tokyo Gakugei University), Chair:Takeshi Morimoto(Faculty of Science and Engineering, Kindai University)

4:30 PM - 4:45 PM

[MIS14-11] Development of precipitation attenuation correction technique in a dual-pol radar network

*Shigeharu Shimamura1, Tomoo Ushio1, Eiichi Yoshikawa2, V. Chandrasekar3 (1.Subarea of Electromagnetic Compatibility. Division of Electrical, Electric and Information Engineering. Graduate School of Engineering, Osaka University, 2.Japan Aerospace eXploration Agency, 3.Colorado State University)

Keywords:meteorological radar, rain

Dense radar network systems with low power transmitters at X-band has been proposed which can fill in observation gaps in low altitudes and have good accuracy and resolution. An X-band dual polarization radar network is the main stream of weather observation to make rapid scanning at low altitude. The dual polarization products such as differential reflectivity (ZDR), specific differential phase (KDP) and correlation coefficient (ρhv) provide us with detailed information about drop size distribution (DSD) and rainfall rate estimation. KDP can be calculated from differential phase ΦDP.
On the other hand, a weather radar, especially with transmitting short-wavelength pulses, is affected by precipitation attenuation. Various attenuation correction techniques for horizontal reflectivity (ZH) and ZDR using ΦDP and KDP were proposed. However, measured differential phase ΨDP consists of ΦDP and backscattered phase shift δco.
Especially at C-, or X-band, contamination due to delta cannot be ignored. Some δco removing techniques were proposed. Scarchilli et al. (1993) suggested recursive algorithm to remove delta from ΨDP in an individual radar using δco - ZDR relationship. They assumed coefficients in the power-law relationship. However, the relationship actually depends on DSD. In this paper, probabilistic attenuation correction technique based on the Bayesian theory in multiple dual polatimetric radar network, is proposed. The proposed technique considering δco effects also derive coefficients of relationships.