A comparative assessment of climate change impacts on drought over Korea based on multiple climate projections and multiple drought indices
This study assesses future changes in drought characteristics in response to different emission scenarios over Korea based on multiple climate projections and multiple drought indices. To better resolve regional climate details and enhance confidence in future changes, multi-model projections are dynamically downscaled, and their systematic biases are statistically removed. Bias-corrected climate data are directly used to calculate the standardized precipitation index (SPI) and standardized precipitation evapotranspiration index (SPEI), and they are fed into a hydrological model to generate runoff used for the calculation of the standardized runoff index (SRI). The analysis is focused on changes in the frequencies and severities of severe or extreme droughts measured by the SPI, SPEI, and SRI for the Han River and Nakdong River basins. Fine-scale ensemble projections reveal robust changes in temperatures that monotonically respond to emission forcings, whereas precipitation changes show rather inconsistent patterns across models and scenarios. Temperature and precipitation shifts lead to changes in evapotranspiration (ET) and runoff, which modulate the drought characteristics. In general, the SPEI shows the most robust pattern with significant increases in both drought frequency and severity. This result is mainly due to the excessive potential ET that is hypothetically estimated without considering water availability. While the SPI based on only precipitation exhibits behavior different from that of the SPEI, the SRI that considers actual ET produces an intermediate level of changes between the SPI and SPEI. Compared to the large uncertainty of the frequency changes that overwhelm the change signal due to inconsistency across models and indices, the severity of future drought is likely to be exacerbated with enhanced confidence.
KeywordsDrought projection Multi-model ensemble Korean river basin Dynamical downscaling Standardized drought index
This research is supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure, and Transport (Grant 18AWMP-B083066-05). We thank Prof. Joong-Bae Ahn and Mr. Yeon-Woo Choi at Pusan National University for providing WRF projections driven by HadGEM2-AO. We also extend our thanks to Prof. Myoung-Seok Suh and Dr. Seok-Geun Oh at Kongju National University for providing the RegCM4 projections driven by HadGEM2-AO.
- Abatan AA, Gutowski WJ Jr, Ammann CM, Kaatz L, Brown BG, Buja L, Bullock R, Fowler T, Gilleland E, Gotway JH (2017) Multiyear droughts and pluvials over the upper Colorado River basin and associated circulations. J Hydrometeor 18:799–818. https://doi.org/10.1175/JHM-D-16-0125.1 CrossRefGoogle Scholar
- Begueria S, Vicente-Serrano SM, Reig F, Latorre B (2013) Standardized precipitation evapotranspiration index (SPEI) revisited: parameter fitting, evapotranspiration models, tools, datasets and drought monitoring. Int J Climatol 34(10):3001–3023. https://doi.org/10.1002/joc.3887 CrossRefGoogle Scholar
- Collins M, Knutti R, Arblaster J, Dufresne JL, Fichefet T, Friedlingstein P, Gao X, Gutowski WJ, Johns T, Krinner G, Shongwe M, Tebaldi C, Weaver AJ, Wehner M (2013) Long-term climate change: projections, commitments and irreversibility. In: Qin D, Plattner GK, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds.) Climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change [Stocker TF. Cambridge University Press, CambridgeGoogle Scholar
- Dosio A, Panitz HJ, Schubert-Frisius M, Luthi D (2015) Dynamical downscaling of CMIP5 global circulation models over CORDEX-Africa with COSMO-CLM: evaluation over the present climate and analysis of the added value. Clim Dyn 44:2637–2661. https://doi.org/10.1007/s00382-014-2262-x CrossRefGoogle Scholar
- Joetzjer E, Douville H, Delire C, Ciais P, Decharme B, Tyteca S (2013) Evaluation of drought indices at interannual to climate change timescales: a case study over the Amazon and Mississippi river basins. Hydrol Earth Syst Sci 9:13231–13249. https://doi.org/10.5194/hess-17-4885-2013 CrossRefGoogle Scholar
- Korea Meteorological Administration (2015) Production of fine-scale climate change data over the Korean peninsula using RCP scenarios. Research report (CATER 2012–3080), 822Google Scholar
- Lee MH, Lu M, Im ES, Bae DH (2018) Added value of dynamical downscaling for hydrological projections in the Chungju basin, Korea. Int J Climatol RevGoogle Scholar
- McKee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to time scales. Preprints, Eighth Conf. on Applied Climatology. Anaheim, CA, Am Meteorol Soc 179–184Google Scholar
- Oh SG, Suh MS, Lee YS, Ahn JB, Cha DH, Lee DK, Hong SY, Min SK, Park SC, Kang HS (2016) Projections of high resolution climate changes for South Korea using multiple-regional climate models based on four RCP scenarios. Part 2: precipitation. Asia-Pac J Atmos Sci 52(2):171–189. https://doi.org/10.1007/s13143-016-0018-8 CrossRefGoogle Scholar
- Suh MS, Oh SG, Lee YS, Ahn JB, Cha DH, Lee DK, Hong SY, Min SK, Park SC, Kang HS (2016) Projections of high resolution climate changes for South Korea using multiple-regional climate models based on four RCP scenarios. Part 1: surface air temperature. Asia-Pac J Atmos Sci 52(2):151–169. https://doi.org/10.1007/s13143-016-0017-9 CrossRefGoogle Scholar
- Vicente-Serrano SM, Beguria S, Lopez-Moreno JI (2010) A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. 23: 1696–1718. https://doi.org/10.1175/2009JCLI2909.1