Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Assessment of Spatiotemporal Changes in Precipitation Extreme Climate Indices over Chungcheong Region of South Korea during 1973–2020

Equal contribution.
Version 1 : Received: 16 October 2023 / Approved: 17 October 2023 / Online: 18 October 2023 (02:08:37 CEST)

A peer-reviewed article of this Preprint also exists.

Cho, H.; Adelodun, B.; Kim, H.-J.; Kim, G. Assessment of the Spatiotemporal Changes in the Extreme Precipitation Climate Indices over the Chungcheong Region of South Korea during 1973–2020. Atmosphere 2023, 14, 1718. Cho, H.; Adelodun, B.; Kim, H.-J.; Kim, G. Assessment of the Spatiotemporal Changes in the Extreme Precipitation Climate Indices over the Chungcheong Region of South Korea during 1973–2020. Atmosphere 2023, 14, 1718.

Abstract

This study analyzed the changes and trends in twelve extreme precipitation-based climate indices obtained using daily data from 10 synoptic stations in the Chungcheong region of South Korea during the 1973-2020 period. The climate indices were used to assess the trends in the extreme precipitation characteristics of duration, frequency, and intensity using the innovative trend analysis (ITA) method. The results of the ITA were further compared with two other non-parametric test methods such as Mann-Kendall (MK) and Spearman’s rho (SR). The results showed that the most stations exhibited significant increasing trends in all the investigated climate indices at a 95% confidence level as indicated by the ITA method, with only a few stations indicating significant decreasing trends in R95p, R99p, Rx3day, and Rx5day. The sub-trend analysis further revealed the dominance of neutral behavior around the low-value cluster, especially for the extreme precipitation duration. At the same time, increasing trends dominate the high-value cluster in most stations. Meanwhile, only R10mm, R95p, and R99p exhibited monotonic trends in the Boeun, Seosan, and Boeun stations, respectively. Further, the ITA exhibited superior performance over the MK and SR methods by indicating the presence of more significant trends in the climate indices at most stations. The distribution of extreme precipitation indices for duration, frequency, and intensity indicate the pronounced risk of flood condition around the north-central and some parts of southern regions, while the western region indicate a potential drought risk, which could greatly impact the water resources and consequently agricultural activities in the study area. The results of this study provide essential information for addressing the climate-related problems of water resources management and agriculture in the study area and other related climatic regions.

Keywords

Extreme climate indices; trend analysis; innovative trend analysis; spatiotemporal variability

Subject

Environmental and Earth Sciences, Atmospheric Science and Meteorology

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