Raining Bell

“Raining Bell” integrated with “Firefly” Smart Weather Service

App

Raining Bell is an industry–academia collaborative project that applies

real-time radar-monitoring technology to meteorological disaster-

prevention services. It integrates nationwide radar observations with

FORMOSAT-7 satellite data and employs data-assimilation and radar-echo

extrapolation techniques to establish an early-warning system capable of

predicting rainfall trends up to three hours in advance. The user interface,

designed by the National Science and Technology Center for Disaster

Reduction (NCDR), combines location-based services and push

notifications to deliver timely, convenient weather information.

The latest version incorporates the Firefly smart voice assistant powered

by the TAIDE large language model (LLM). Users can interact naturally in

Mandarin or Taiwanese to check weather conditions and receive

proactive alerts about rainfall and potential disaster risks. By combining

real-time forecasts from the Central Weather Administration (CWA) with

Raining Bell’s observation data, the system provides intelligent, localized,

and personalized weather services.

This app was developed under the guidance of the National Science and

Technology Council (NSTC) through the joint efforts of NCDR and the

National Center for High-Performance Computing (NCHC). The software

was produced by ThinkYes Technology Co., Ltd. By integrating AI with

disaster-prevention technology, Raining Bell offers a weather service that

is both real-time and human-centered.

This product represents experimental research results; for official weather

forecasts, please refer to announcements from the Central Weather

Administration.