An Operational Multi-Radar Multi-Sensor QPE System in Taiwan

Over the last two decades, the Central Weather Bureau of Taiwan and the U.S. National Severe Storms Laboratory have been involved in a research and development collaboration to improve the monitoring and prediction of river flooding, flash floods, debris flows, and severe storms for Taiwan. The coll...

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Bibliographic Details
Published in:Bulletin of the American Meteorological Society 2021-03, Vol.102 (3), p.E555-E577
Main Authors: Chang, Pao-Liang, Zhang, Jian, Tang, Yu-Shuang, Tang, Lin, Lin, Pin-Fang, Langston, Carrie, Kaney, Brian, Chen, Chia-Rong, Howard, Kenneth
Format: Article
Language:English
Subjects:
Algorithms
Atmospheric precipitations
Collaboration
Data assimilation
Data collection
Debris flow
Flash flooding
Flash floods
Flood management
Flood predictions
Flooding
Gauges
Government agencies
High resolution
Hydrology
Mathematical models
Monitoring
Mudflows
Mudslides
Nowcasting
Numerical weather forecasting
Precipitation
Precipitation estimation
Prediction models
Preventive maintenance
Quality control
R&D
Radar
Radar data
Rain
Rain gauges
Rainfall
Rainfall forecasting
Reflectance
Research & development
Resolution
Resource management
Segregation
Severe storms
Storm forecasting
Storms
Typhoons
Water conservation
Water resources
Water resources management
Weather
Weather forecasting
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Summary:Over the last two decades, the Central Weather Bureau of Taiwan and the U.S. National Severe Storms Laboratory have been involved in a research and development collaboration to improve the monitoring and prediction of river flooding, flash floods, debris flows, and severe storms for Taiwan. The collaboration resulted in the Quantitative Precipitation Estimation and Segregation Using Multiple Sensors (QPESUMS) system. The QPESUMS system integrates observations from multiple mixed-band weather radars, rain gauges, and numerical weather prediction model fields to produce high-resolution (1 km) and rapid-update (10 min) rainfall and severe storm monitoring and prediction products. The rainfall products are widely used by government agencies and emergency managers in Taiwan for flood and mudslide warnings as well as for water resource management. The 3D reflectivity mosaic and QPE products are also used in high-resolution radar data assimilation and for the verification of numerical weather prediction model forecasts. The system facilitated collaborations with academic communities for research and development of radar applications, including quantitative precipitation estimation and nowcasting. This paper provides an overview of the operational QPE capabilities in the Taiwan QPESUMS system.
ISSN:0003-0007
1520-0477
DOI:10.1175/bams-d-20-0043.1