Authors

Chiho Kimpara 1 , Michihiko Tonouchi 2 , Bui Thi Khanh Hoa 3 , Nguyen Viet Hung 3 , Nguyen Minh Cuong 3 , Kenji Akaeda 4*

Affiliations

1 Japan Weather Association, Tokyo170-6055, Japan; kimpara.chiho@jwa.or.jp

2 Japan Meteorological Business Support Center, Tokyo101-0054, Japan; tono@jmbsc.or.jp

3 Aero Meteorological Observatory, Hanoi 10000, Vietnam; khanhhoa303@gmail.com; nguyenviethungb115@gmail.com; nguyenminhcuong30596@ gmail.com

4 Japan International Cooperation Agency, Tokyo102-0084, Japan; akaeda191@yahoo.co.jp

*Correspondence: akaeda191@yahoo.co.jp; Tel.: +84–829761096

Abstracts

Real-time monitoring of quantitative precipitation distribution is essential to prevent natural disasters caused by heavy rainfall. Precipitation distribution by rain gauge network or combined with radar/satellite data is operationally used in Viet Nam. Previously, meteorological radar data was simply converted to precipitation amount using a simple Z-R relationship. To get accurate quantitative precipitation estimation (QPE) data, converted precipitation amounts from radar should be corrected by rain gauge data. In the ongoing JICA technical cooperation project, preliminary development of the QPE product has been conducted by utilizing the data from the automatic rain gauge network and meteorological radar network in Viet Nam. The fundamental part of this QPE algorithm has been used and updated by Japan Meteorological Agency (JMA) for more than 25 years. This is the first attempt to get quantitative precipitation distribution with a precise resolution by combining radar and rain gauge data in Viet Nam. This paper describes each process to introduce this QPE method to Viet Nam and indicates the results through the project. Future issues to improve its accuracy are also mentioned. 

Keywords

Radar; Rain gauge; QPE; Quality Control , JICA.

Cite this paper

Kimpara, C.; Tonouchi, M.; Hoa, BT.K.H.; Hung, N.V.; Cuong, N.M.; Akaeda, K. Evaluation of the radar-based quantitative precipitation estimation composite in Viet Nam. J. Hydro-Meteorol. 2023, 15, 28-39. 

References

1. Makihara, Y. A method for improving radar estimates of precipitation by comparing data from radars and rain gauges. J. Meteor. Soc. Japan 1996, 74, 459–480. doi: 10.2151/jmsj1965.74.4.

2. Makihara, Y. Algorithms for precipitation nowcasting focused on detailed analysis using radar and rain gauge data. Technical Reports of the MRI, 2000, 39, 63–111. doi:10.11483/mritechrepo.39.

3. Tonouchi, M.; Kasuya, Y.; Tanaka, Y.; Akatsu, K.; Akaeda, K.; Nguyen, V.T. Activities of JICA on disaster prevention and achievement of JICA project in Period 1. VN J. Hydrometeorol. 2020, 5, 1–12.

4. Akaeda, K.; Tonouchi, M.; Thu, N.V. Achievement of JICA Technical Cooperation Project in Period 2. J. Hydro-Meteorol. 2023, 15, 1–9.

5. Kimpara, C.; Tonouchi, M.; Hoa, B.T.K.; Hung, N.V.; Cuong, N.M.; Akaeda, K. Quantitative Precipitation Estimation by combining rain gauge and meteorological radar network in Viet Nam. J. Hydrometeorol. 2020, 5, 36–50.

6. Tonouchi, M.; Hoa, B.T.K.; Hung, N.V.; Cuong, N.M. Quality check of rain gauge data for quantitative precipitation estimate. J. Hydro-Meteorol. 2023, 15, 21–27.

7. Kobayashi, R.; Duc, L.X.; Tien, P.M. Attempt to detect maintenance-need rain gauge station by double-mass analysis. J. Hydro-Meteorol. 2023, 15, 10–20.