EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

The recommended location of rain gauge stations based on radar

Taeyong Kwon1 and Sanghoo Yoon2
Taeyong Kwon and Sanghoo Yoon
  • 1Daegu University, Department Statistics, Gyeongbuk, Korea, Republic of (
  • 2Daegu University, Dibision of Mathematics and big data science, Gyeongbuk, Korea, Republic of (

The characteristics of the watershed are important to reduce hydrologic disasters, such as the risk of dam flooding. In other words, quantitative precipitation estimation(QPE) is important to manage water resources in large regions. Both radar and rain gauged data are used to improve QPE. This study is dealt with suggesting the best location of additional rain gauged stations to be installed in order to improve QPE as entropy theory. Conditional entropy is used to quantitatively evaluate the location of additional gauged stations to be installed given the existing rainfall network. Because radar produces high-resolution precipitation estimates, it can be used to identify the high entropy points to reduce rainfall uncertainty. The data were collected from May 2018 to August 2019 in the Bukhan river dam basin. Road networks were also considered for the establishment for a practical approach.


This work was supported by KOREA HYDRO & NUCLEAR POWER CO., LTD

(No. 2018-Tech-20)

How to cite: Kwon, T. and Yoon, S.: The recommended location of rain gauge stations based on radar, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2969,, 2020


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