Copula-based Joint Drought Index using SPI and EDDI and its application to climate change

Jeongeun Won; Jeonghyeon Choi; Okjeong Lee; Sangdan Kim

doi:10.1016/j.scitotenv.2020.140701

Copula-based Joint Drought Index using SPI and EDDI and its application to climate change

Sci Total Environ. 2020 Nov 20:744:140701. doi: 10.1016/j.scitotenv.2020.140701. Epub 2020 Jul 9.

Authors

Jeongeun Won¹, Jeonghyeon Choi¹, Okjeong Lee², Sangdan Kim³

Affiliations

¹ Division of Earth Environmental System Science (Major of Environmental Engineering), Pukyong National University, Busan 48513, Republic of Korea.
² Department of Environmental Engineering, Pukyong National University, Busan 48513, Republic of Korea.
³ Department of Environmental Engineering, Pukyong National University, Busan 48513, Republic of Korea. Electronic address: skim@pknu.ac.kr.

PMID: 32755772
DOI: 10.1016/j.scitotenv.2020.140701

Abstract

The drought index, which mainly focuses on the moisture supply side of the atmosphere, which has been mainly used in the field of drought monitoring, has limitations that cannot reflect drought caused by changes in various climate variables such as an increase in surface air temperature due to global warming. To overcome these limitations, various evaporation demand-based drought indices have been proposed, focusing on the aspect of atmospheric moisture demand. However, drought indices that consider only precipitation or the demand for atmospheric evaporation are difficult to comprehensively interpret drought caused by various climatic factors. The novelty of this study is to propose a new drought index to simultaneously monitor droughts occurring in terms of atmospheric moisture supply and demand. The proposed Copula-based Joint Drought Index (CJDI) combines the Standardized Precipitation Index and the Evaporative Demand Drought Index using copula. Since CJDI reflects the correlation between the two drought indices, it is shown that CJDI can better monitor Korea's past droughts than other drought indices. It is found that quantification of past drought using CJDI can be used to objectively recognize the level of drought currently in progress by combining with drought severity-duration-frequency curves derived from partial duration series. As a result of analyzing the future drought pattern in Korea, it was revealed that the drought would be alleviated by about 11% in the case of SPI and SPEI, but the drought would intensify by about 89% in the case of EDDI. In the case of CJDI, it is projected that the drought is likely to intensify to about 17%. From the perspective of better reproducing past droughts and projecting a more convincing future drought than other drought indices, CJDI is expected to be fully utilized as a drought index to monitor droughts and establish climate change adaptation policies.

Keywords: Climate change; Copula-based joint drought index; Drought severity-duration-frequency curve; Partial duration series.