Determining Extremes for Future Precipitation in South Korea Based on RCP Scenarios Using Non-Parametric SPI

被引:3
作者
Butu, Hemen Mark [1 ]
Seo, Yongwon [2 ]
Huh, Jeung Soo [1 ]
机构
[1] Kyungpook Natl Univ, Grad Sch, Dept Climate Change, Daegu 41566, South Korea
[2] Yeungnam Univ, Dept Civil Engn, Gyongsan 38541, South Korea
关键词
standardized precipitation index; hydrologic extreme; extreme drought; extreme precipitation; CLIMATE-CHANGE; INDEX SPI; DROUGHT; RISK; PATTERNS; SIMULATIONS; VARIABILITY; INCREASE; IMPACTS;
D O I
10.3390/su12030963
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Historical, downscaled and projected data for six cities in South Korea were collected and analyzed using non-parametric Standardized Precipitation Index (SPI) across the Representative Concentration Pathways (RCPs) RCP4.5 and RCP8.5. SPI results were utilized in further analyses: intensity, decadal frequency, and temporal shifts. Non-parametric SPI was used as it produces more reliable results in terms of their statistical, spatial and temporal characteristics. RCP4.5 was taken to represent concentrations under the current emissions trajectory, while RCP8.5 represents the high-end scenario. Findings suggest that extreme precipitation events are more likely to increase in number than extreme drought across all timescales and RCPs. Variability was observed to increase when comparing SPI obtained from actual, measured and gridded precipitation. More extreme droughts are expected under RCP8.5 forcing as are the occurrence of multiyear droughts and extreme wet events relative to RCP4.5. A seasonal shift in extreme precipitation of up to 3 months earlier was observed. Generally, the period between 2080 and 2100 holds the highest probability to host extremely rare and persistent events.
引用
收藏
页数:26
相关论文
共 63 条
[11]  
Choi Gwangyong, 2008, [Journal of the Korean Geographical Society, 대한지리학회지], V43, P681
[12]   A global dataset of Palmer Drought Severity Index for 1870-2002: Relationship with soil moisture and effects of surface warming [J].
Dai, A ;
Trenberth, KE ;
Qian, TT .
JOURNAL OF HYDROMETEOROLOGY, 2004, 5 (06) :1117-1130
[13]   Increase in crop losses to insect pests in a warming climate [J].
Deutsch, Curtis A. ;
Tewksbury, Joshua J. ;
Tigchelaar, Michelle ;
Battisti, David S. ;
Merrill, Scott C. ;
Huey, Raymond B. ;
Naylor, Rosamond L. .
SCIENCE, 2018, 361 (6405) :916-919
[14]   Measuring economic impacts of drought: a review and discussion [J].
Ding, Ya ;
Hayes, Michael J. ;
Widhalm, Melissa .
DISASTER PREVENTION AND MANAGEMENT, 2011, 20 (04) :434-446
[15]   Climate change and changes in global precipitation patterns: What do we know? [J].
Dore, MHI .
ENVIRONMENT INTERNATIONAL, 2005, 31 (08) :1167-1181
[16]   Analysis of dry/wet conditions using the standardized precipitation index and its potential usefulness for drought/flood monitoring in Hunan Province, China [J].
Du, Juan ;
Fang, Jian ;
Xu, Wei ;
Shi, Peijun .
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2013, 27 (02) :377-387
[17]   Intercomparison of projected changes in climate extremes for South Korea: application of trend preserving statistical downscaling methods to the CMIP5 ensemble [J].
Eum, Hyung-Il ;
Cannon, Alex J. .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2017, 37 (08) :3381-3397
[18]   Intercomparison of multiple statistical downscaling methods: multi-criteria model selection for South Korea [J].
Eum, Hyung-Il ;
Cannon, Alex J. ;
Murdock, Trevor Q. .
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2017, 31 (03) :683-703
[19]  
Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
[20]  
Guerreiro M.J., 2008, FLOOD ANAL STANDARDI