Winter Precipitation Detection Using C- and X-Band Radar Measurements-Reference-Cited by-同舟云学术

Winter Precipitation Detection Using C- and X-Band Radar Measurements

Published:2024-07-18 Issue:14 Volume:16 Page:2630
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Ueki Ayano¹²^ORCID,Teshiba Michihiro S.¹^ORCID,Schvartzman David²³⁴^ORCID,Kirstetter Pierre-Emmanuel²³^ORCID,Palmer Robert D.²³⁴^ORCID,Osa Kohei¹,Yu Tian-You²³⁴^ORCID,Cheong Boonleng²⁴^ORCID,Bodine David J.²³^ORCID

Affiliation:

1. Weathernews Inc., Chiba 261-0023, Japan

2. Advanced Radar Research Center, University of Oklahoma, Norman, OK 73019, USA

3. School of Meteorology, University of Oklahoma, Norman, OK 73019, USA

4. School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA

Abstract

Winter continues to witness numerous automobile accidents attributed to graupel and hail precipitation in Japan. Detecting these weather phenomena using radar technology holds promise for reducing the impact of such accidents and improving road maintenance operations. Weather radars operating at different frequencies, such as C- and X-band, prove effective in graupel detection by analyzing variations in backscattered signals within the same radar volume. When particle diameters exceed 5 mm, the study of Mie scattering characteristics across different melting ratios reveals insights. The dual frequency ratio (DFR) shows potential for graupel detection. The DFR presents wider variations with ten-times difference in melting ratios with increased density, offering opportunities for precise detection. Additionally, the DFR amplitude rises with temperature changes. However, for hydrometeor diameters below approximately 3 mm, and within the Rayleigh region, the DFR exhibits minimal fluctuations. Hence, this technique is best suited for diameters exceeding 3 mm for optimal efficacy. Additionally, a “detection alert” for graupel/hail has been proposed. Based on this alert, and with realistic rain/graupel size distributions, graupel/hail can be detected with an approximate probability of 70%.

Funder

Weathernews Inc. through a collaboration with East Nippon Expressway Co., Ltd. (headquarter is located in Tokyo, Japan)

Publisher

MDPI AG

Link

https://www.mdpi.com/2072-4292/16/14/2630/pdf

Reference32 articles.

1. Yatsuo, T., Hattori, H., Okura, T., and Aiba, Y. (2013, January 7–8). Operation and effectiveness of an information-providing system using graupel detection. Proceedings of the Yukimirai Conference, Akita, Japan. (In Japanese).

2. Polarimetry for Weather Surveillance Radars;Zrnic;Bull. Am. Meteorol. Soc.,1999

3. Bulk Hydrometeor Classification and Quantification Using Polarimetric Radar Data: Synthesis of Relations;Straka;J. Appl. Meteorol.,2000

4. A Theory-Based Hydrometeor Identification Algorithm for X-Band Polarimetric Radars;Dolan;J. Atmos. Ocean. Technol.,2009

5. The Hydrometeor Classification Algorithm for the Polarimetric WSR-88D: Description and Application to an MCS;Park;Weather Forecast.,2009