Future changes in drought characteristics over South Korea using multi regional climate models with the standardized precipitation index

被引:0
作者
Yeon-Woo Choi
Joong-Bae Ahn
Myoung-Seok Suh
Dong-Hyun Cha
Dong-Kyou Lee
Song-You Hong
Seung-Ki Min
Seong-Chan Park
Hyun-Suk Kang
机构
[1] Pusan National University,Department of Atmospheric Sciences
[2] Kongju National University,Department of Atmospheric Sciences
[3] Ulsan National Institute of Science and Technology,undefined
[4] Seoul National University,undefined
[5] Korea Institute of Atmospheric Prediction Systems,undefined
[6] Pohang University of Science and Technology,undefined
[7] Korea Meteorological Administration,undefined
[8] National Institute of Meteorological Sciences,undefined
[9] Pusan National University,undefined
来源
Asia-Pacific Journal of Atmospheric Sciences | 2016年 / 52卷
关键词
Regional climate model; climate change; IPCC RCP scenario; South Korea; drought;
D O I
暂无
中图分类号
学科分类号
摘要
In this study, the projection of future drought conditions is estimated over South Korea based on the latest and most advanced sets of regional climate model simulations under the Representative Concentration Pathway (RCP4.5 and RCP8.5) scenarios, within the context of the national downscaling project of the Republic of Korea. The five Regional Climate Models (RCMs) are used to produce climate-change simulations around the Korean Peninsula and to estimate the uncertainty associated with these simulations. The horizontal resolution of each RCM is 12.5 km and model simulations are available for historical (1981-2010) and future (2021-2100) periods under forcing from the RCP4.5 and RCP8.5 scenarios. To assess the characteristics of drought on multiple time scales in the future, we use Standardized Precipitation Indices for 1-month (SPI- 1), 6-month (SPI-6) and 12-month (SPI-12). The number of drought months in the future is shown to be characterized by strong variability, with both increasing and decreasing trends among the scenarios. In particular, the number of drought months over South Korea is projected to increase (decrease) for the period 2041-2070 in the RCP8.5 (RCP4.5) scenario and increase (decrease) for the period 2071-2100 in the RCP4.5 (RCP8.5) scenario. In addition, the percentage area under any drought condition is overall projected to gradually decrease over South Korea during the entire future period, with the exception of SPI-1 in the RCP4.5 scenario. Particularly, the drought areas for SPI-1 in the RCP4.5 scenario show weakly positive long-term trend. Otherwise, future changes in drought areas for SPI-6 and SPI-12 have a marked downward trend under the two RCP scenarios.
引用
收藏
页码:209 / 222
页数:13
相关论文
共 50 条
[41]   Analysis of future drought characteristics in China using the regional climate model CCLM [J].
Huang, Jinlong ;
Zhai, Jianqing ;
Jiang, Tong ;
Wang, Yanjun ;
Li, Xiucang ;
Wang, Run ;
Xiong, Ming ;
Su, Buda ;
Fischer, Thomas .
CLIMATE DYNAMICS, 2018, 50 (1-2) :507-525
[42]   Investigating drought over the Central Highland, Vietnam, using regional climate models [J].
Tue, Vu Minh ;
Raghavan, Srivatsan V. ;
Minh, Pham Duc ;
Shie-Yui, Liong .
JOURNAL OF HYDROLOGY, 2015, 526 :265-273
[43]   Evolution characteristics of seasonal drought in the south of China during the past 58 years based on standardized precipitation index [J].
Huang W. ;
Yang X. ;
Li M. ;
Zhang X. ;
Wang M. ;
Dai S. ;
Ma J. .
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2010, 26 (07) :50-59
[44]   Future precipitation changes over China under 1.5 °C and 2.0 °C global warming targets by using CORDEX regional climate models [J].
Li, Huixin ;
Chen, Huopo ;
Wang, Huijun ;
Yu, Entao .
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 640 :543-554
[45]   Meteorological drought analysis using Standardized Precipitation Index over Luni River Basin in Rajasthan, India [J].
Das, Jayanta ;
Gayen, Amiya ;
Saha, Piu ;
Bhattacharya, Sudip Kumar .
SN APPLIED SCIENCES, 2020, 2 (09)
[46]   Application of several artificial intelligence models and ARIMAX model for forecasting drought using the Standardized Precipitation Index [J].
Jalalkamali, A. ;
Moradi, M. ;
Moradi, N. .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2015, 12 (04) :1201-1210
[47]   Application of several artificial intelligence models and ARIMAX model for forecasting drought using the Standardized Precipitation Index [J].
A. Jalalkamali ;
M. Moradi ;
N. Moradi .
International Journal of Environmental Science and Technology, 2015, 12 :1201-1210
[48]   Observed changes of drought/wetness episodes in the Pearl River basin, China, using the standardized precipitation index and aridity index [J].
Zhang, Qiang ;
Xu, Chong-Yu ;
Zhang, Zengxin .
THEORETICAL AND APPLIED CLIMATOLOGY, 2009, 98 (1-2) :89-99
[49]   Future droughts in China using the standardized precipitation evapotranspiration index (SPEI) under multi-spatial scales [J].
Zhao, Jincai ;
Liu, Qianqian ;
Lu, Heli ;
Wang, Zheng ;
Zhang, Ke ;
Wang, Pan .
NATURAL HAZARDS, 2021, 109 (01) :615-636
[50]   Assessment of Future Drought Characteristics Using Various Temporal Scales and Multiple Drought Indices over Mekong Basin Under Climate Changes [J].
Tuong, Vo Quang ;
Kiet, Bui Anh ;
Pham, Thu T. .
WATER, 2025, 17 (10)