Comparison of annual maximum rainfall events of modern rain gauge data (1961–2010) and chukwooki data (1777–1910) in Seoul, Korea

Chulsang Yoo, Minkyu Park, Hyeon Jun Kim, Changhyun Jun

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


In this study, the annual maximum rainfall event series were constructed and compared for both the modern flip-bucket type rainfall data, collected since 1961 (the modern data), and the old Chukwooki rainfall data, collected from 1777 to 1910 (the Chukwooki data). First, independent rainfall events were derived, by applying the same rainfall threshold of 2 mm and data collection time interval of 2 hours, to both the Chukwooki and the modern data. Annual maximum rainfall event series were then constructed, by applying Freund’s bivariate exponential distribution annually. Finally, bivariate frequency analysis was done for the annual maximum rainfall event series constructed, by applying the bivariate logistic model to evaluate and quantify their characteristics. The results are in summary: (1) characteristics of the Chukwooki rainfall events and modern rainfall events are very similar to each other; (2) the annual maximum rainfall events of modern data are slightly larger than those of the Chukwooki data. The total rainfall depth per rainfall event for any given return period is thus estimated to be a little higher for the modern data than that of the Chukwooki data. However, based on the findings in this study, it could not be concluded that the rainfall characteristics have significantly changed during the last 200 years.

Original languageEnglish
Pages (from-to)58-73
Number of pages16
JournalJournal of Water and Climate Change
Issue number1
Publication statusPublished - 2018 Mar

Bibliographical note

Funding Information:
This study was initiated by the support from Basic Science Research Program through the Korea Research Foundation (KRF-2008-313-D01083) and National Research Foundation of Korea (NRF) through the Ministry of Education, Science and Technology (No. 2010-0014566).

Publisher Copyright:
© IWA Publishing 2018.


  • Annual maxima
  • Bivariate frequency analysis
  • Chukwooki
  • Rainfall event

ASJC Scopus subject areas

  • Global and Planetary Change
  • Water Science and Technology
  • Atmospheric Science
  • Management, Monitoring, Policy and Law


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