For the advancement of critical technologies in accurate predictions of typhoons and floods, the Taiwan Typhoon and Flood Research Institute (TTFRI) of NARLabs strives to developing advanced prediction techniques to assist government agencies in disaster prevention, to mitigate the social
and economic impacts of typhoon/flood-related disasters. Meanwhile, TTFRI focuses on typhoon and floodrelated researches with regional characteristics and also devotes itself to nurturing talents for future worldleading researchers.
Building a radar data assimilation system
Enhancing 6-hour rainfall forecasting accuracy
TTFRI had worked closely with the Central Weather Bureau to develop a radar data assimilation system. The system was employed to project rainfall from typhoons that led to collapses on the Suhua Highway. The results showed that the 6-hour rainfall forecast score was 20% higher than without applying the system. Similarly, the system was used at the Kaoping river basin, in which the results also showed a 47% improvement. With the radar assimilation system, the two aforementioned organizations will work jointly with disaster prevention and rescue agencies for early warnings of catastrophic weather with heavy rain and in emergency preparedness plans.
After applying the radar data assimilation system to project rainfall from six typhoon events occurred on the Suhua Highway, the results showed that the 6-hour rainfall forecast score was improved by an average of 20%.
The radar data assimilation system was applied to project rainfall from four typhoon events occurred in the Kaoping river basin, the results showed that the 6-hour rainfall forecast score was improved by an average of 47%.
Data bank for atmospheric & hydrologic research
To the researchers working at TTFRI, the Earth is their laboratory. They have performed various experiments such as aircraft dropsonde missions, observations using C-band polarimetric radars, and measuring river water levels and flow rates, from which valuable data were acquired. In the era of big data, TTFRI has integrated various data types to build its Data Bank for Atmospheric & Hydrologic Research, which is now off icially open to the public. The goal is to provide stable and sustainable information services to the academic and research institutes.
Development of the safety assessment technologies for disaster-prone mountain road sections
Providing the early warnings for road closure and referential information for making disaster-prevention and disaster-relief decisions
To promptly prevent disasters in disaster-prone mountain road sections caused by the catastrophic heavy rain, TTFRI has developed a security assessment system for road sections labelled by the Directorate General of Highways as key monitoring road sections. The proposed system, which combines the Taiwan Cooperative Precipitation Ensemble Forecast Experiment with physically based shallow landslide simulation, can be used to assess the risk of heavy rain-led mountain road section collapse forecast for the next six hours, providing early warnings for road closure and referential information for making disaster-prevention and disaster-relief decisions.