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  1. 防災科研関係論文

An improved snowfall monitoring system developed in central Niigata Prefecture, Japan

https://nied-repo.bosai.go.jp/records/6712
https://nied-repo.bosai.go.jp/records/6712
0553c628-cb4b-4bcb-aa11-7e16c68aa264
Item type researchmap(1)
公開日 2024-07-22
タイトル
言語 en
タイトル An improved snowfall monitoring system developed in central Niigata Prefecture, Japan
言語
言語 eng
著者 Katsuya Yamashita

× Katsuya Yamashita

en Katsuya Yamashita

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Sento Nakai

× Sento Nakai

en Sento Nakai

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Hiroki Motoyoshi

× Hiroki Motoyoshi

en Hiroki Motoyoshi

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Masaaki Ishizaka

× Masaaki Ishizaka

en Masaaki Ishizaka

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抄録
内容記述タイプ Other
内容記述 Meteorological radars are important for quantitative precipitation estimation (QPE) as they can determine precipitation distribution with high spatiotemporal resolution. However, accurate QPE of solid precipitation remains challenging despite its importance. A precise QPE algorithm requires an appropriate radar re?ectivity-precipitation rate (Ze-R) relationship corresponding to the precipitation type, assessment of the change in size and fall velocity of snow particles falling below the radar beam, and validation using accurate precipitation amounts at the surface. In order to address these requirements, the study established an improved snowfall monitoring system, named the Concentrated Snowfall Monitoring System (CSMS) in central Niigata Prefecture. The CSMS was composed of an X-band radar and six ground observation sites. Optical disdrometers were installed at all sites to classify the precipitation type and select the appropriate Ze-R relationship. Vertical pro?les of the precipitation particles and thermodynamic environment below the radar beam were assessed using micro rain radars and microwave radiometers. Presently, the precipitation amounts measured using tipping-bucket gauges are underestimated due to wind induced and wetting losses. Therefore, high accuracy weighing gauges were installed at three sites to quantify the underestimation. The CSMS data was used to conduct a preliminary analysis of the heavy snowfall that occurred on January 24 and 25, 2016, in central Niigata Prefecture. The designed CSMS estimated the precipitation distribution and precipitation type successfully. The results indicate that the CSMS can potentially determine an appropriate Ze-R relationship, which can improve the estimation of precipitation rates and contribute to the improved QPE of solid precipitation.
言語 en
書誌情報 en : Bulletin of Glaciological Research

巻 37, p. 21-30, 発行日 2019
出版者
言語 en
出版者 Japanese Society of Snow and Ice
ISSN
収録物識別子タイプ ISSN
収録物識別子 1345-3807
DOI
関連識別子 10.5331/bgr.18SR01
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