JDR Vol.16 No.4 pp. 786-793
doi: 10.20965/jdr.2021.p0786


A Comparison Between Global Satellite Mapping of Precipitation Data and High-Resolution Radar Data – A Case Study of Localized Torrential Rainfall over Japan

Yoshiaki Hayashi*,†, Taichi Tebakari**, and Akihiro Hashimoto*

*Department of Civil Engineering, Fukuoka University
8-19-1 Nanakuma, Jonan-ku, Fukuoka 814-0180, Japan

Corresponding author

**Department of Environment and Civil Engineering, Graduate School of Engineering, Toyama Prefectural University, Toyama, Japan

October 23, 2020
March 24, 2021
June 1, 2021
observation characteristics, C-band radar, X-band MP radar, GPM/GMI, GSMaP

This paper presents a case study comparing the latest algorithm version of Global Satellite Mapping of Precipitation (GSMaP) data with C-band and X-band Multi-Parameter (MP) radar as high-resolution rainfall data in terms of localized heavy rainfall events. The study also obliged us to clarify the spatial and temporal resolution of GSMaP data using high-accuracy ground-based radar, and evaluate the performance and reporting frequency of GSMaP satellites. The GSMaP_Gauge_RNL data with less than 70 mm/day of daily rainfall was similar to the data of both radars, but the GSMaP_Gauge_RNL data with over 70 mm/day of daily rainfall was not, and the calibration by rain-gauge data was poor. Furthermore, both direct/indirect observations by the Global Precipitation Measurement/Microwave Imager (GPM/GMI) and the frequency thereof (once or twice) significantly affected the difference between GPM/GMI data and C-band radar data when the daily rainfall was less than 70 mm/day and the hourly rainfall was less than 20 mm/h. Therefore, it is difficult for GSMaP_Gauge to accurately estimate localized heavy rainfall with high-density particle precipitation.

Cite this article as:
Yoshiaki Hayashi, Taichi Tebakari, and Akihiro Hashimoto, “A Comparison Between Global Satellite Mapping of Precipitation Data and High-Resolution Radar Data – A Case Study of Localized Torrential Rainfall over Japan,” J. Disaster Res., Vol.16, No.4, pp. 786-793, 2021.
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