EMS Annual Meeting Abstracts
Vol. 23, EMS2026-123, 2026, updated on 22 Jun 2026
https://doi.org/10.5194/ems2026-123
EMS Annual Meeting 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Thursday, 10 Sep, 16:30–18:00 (CEST), Display time Wednesday, 09 Sep, 14:00–Friday, 11 Sep, 13:00| TransitZone, P11
User-Responsive Radar-Based Real-Time Precipitation Verification and Monitoring System
HaeLim Kim, MyoungJae Son, and Mi-Kyung Suk
HaeLim Kim et al.
  • Korea Meteorological Administration, Seoul, Korea Republic of (hlk0919@korea.kr)

  Weather radar with high spatiotemporal resolution is effective for heavy rainfall monitoring, as it enables real-time detection of precipitation system intensity, movement direction and speed, and provides coverage even in areas where rain gauge observations are unavailable. In particular, dual-polarization radar can distinguish hydrometeor types and their physical characteristics, allowing for more accurate precipitation estimation. With the increasing frequency and intensity of localized heavy rainfall events due to climate change, the Korea Meteorological Administration (KMA) sends emergency alert message (Cell Broadcasting Service, CBS) for extreme rainfall exceeding a certain threshold in affected areas. Accordingly, the demand for rapid and accurate radar-based precipitation information has become increasingly important.
  In this study, a real-time radar based quantitative precipitation estimation (QPE) monitoring system was developed to assist forecasters in intuitively recognizing rainfall conditions and efficiently analyzing discrepancies between radar and rain gauge observations. The system provides real-time information on the accuracy and bias of radar-derived precipitation compared to rain gauge measurements, categorized by region, rainfall intensity, and accumulation duration. 
  In addition, a web-based interface enables visualization of relevant information for selected points or areas and provides time series comparisons between radar and gauge precipitation for individual stations. This system facilitates the analysis of precipitation trends and bias characteristics, supports decision-making for sending emergency alert messages, and contributes to the improvement of radar-based precipitation estimation techniques through validation using various severe weather cases.

Acknowledgements: This research was supported by the "Development of radar-based severe weather detection technology (KMA2026-00122)" of "Development of radar-based severe weather analysis technology project funded by the Weather Radar Center, Korea Meteorological Administration.

 

How to cite: Kim, H., Son, M., and Suk, M.-K.: User-Responsive Radar-Based Real-Time Precipitation Verification and Monitoring System, EMS Annual Meeting 2026, Utrecht, Netherlands, 6–11 Sep 2026, EMS2026-123, https://doi.org/10.5194/ems2026-123, 2026.