Articles | Volume 18, issue 10
https://doi.org/10.5194/essd-18-7679-2026
https://doi.org/10.5194/essd-18-7679-2026
Data description article
 | 
26 Oct 2026
Data description article |  | 26 Oct 2026

RRBF-KMA: high-resolution radar–gauge merged precipitation dataset for South Korea (2016–2024)

Soorok Ryu, Joon Jin Song, Kyo Sun Lim, and GyuWon Lee

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Short summary
We developed a detailed rainfall dataset for South Korea by combining weather radar data with ground rain measurements. This dataset provides rainfall information every 10 min at a very fine spatial scale from 2016 to 2024. We created it to better understand rainfall patterns and improve applications such as flood forecasting and water management. By combining the strengths of both data sources, the dataset offers more accurate and consistent rainfall information over time and space.
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