SSP 시나리오에 따른 CMIP6 GCM 기반 미래 극한 가뭄 전망
Projected Future Extreme Droughts Based on CMIP6 GCMs under SSP Scenarios
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초록
In recent years, climate change has been responsible for unusual weather patterns on a global scale. Droughts, natural disasters triggered by insufficientrainfall, can inflict significant social and economic consequences on the entire agricultural sector due to their widespread occurrence and the challengein accurately predicting their onset. The frequency of drought occurrences in South Korea has been rapidly increasing since 2000, with notably severedroughts hitting regions such as Incheon, Gyeonggi, Gangwon, Chungbuk, and Gyeongbuk in 2015, resulting in significant agricultural and socialdamage. To prepare for future drought occurrences resulting from climate change, it is essential to develop long-term drought predictions and implementcorresponding measures for areas prone to drought. The Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report outlines a climatechange scenario under the Shared Socioeconomic Pathways (SSPs), which integrates projected future socio-economic changes and climate changemitigation efforts derived from the Coupled Model Intercomparison Project 6 (CMIP6). SSPs encompass a range of factors including demographics,economic development, ecosystems, institutions, technological advancements, and policy frameworks. In this study, various drought indices werecalculated using SSP scenarios derived from 18 CMIP6 global climate models. The SSP5-8.5 scenario was employed as the climate change scenario,and meteorological drought indices such as the Standardized Precipitation Index (SPI), Self-Calibrating Effective Drought Index (scEDI), andStandardized Precipitation Evapotranspiration Index (SPEI) were utilized to analyze the prediction and variability of future drought occurrences in SouthKorea.
Abstract
In recent years, climate change has been responsible for unusual weather patterns on a global scale. Droughts, natural disasters triggered by insufficientrainfall, can inflict significant social and economic consequences on the entire agricultural sector due to their widespread occurrence and the challengein accurately predicting their onset. The frequency of drought occurrences in South Korea has been rapidly increasing since 2000, with notably severedroughts hitting regions such as Incheon, Gyeonggi, Gangwon, Chungbuk, and Gyeongbuk in 2015, resulting in significant agricultural and socialdamage. To prepare for future drought occurrences resulting from climate change, it is essential to develop long-term drought predictions and implementcorresponding measures for areas prone to drought. The Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report outlines a climatechange scenario under the Shared Socioeconomic Pathways (SSPs), which integrates projected future socio-economic changes and climate changemitigation efforts derived from the Coupled Model Intercomparison Project 6 (CMIP6). SSPs encompass a range of factors including demographics,economic development, ecosystems, institutions, technological advancements, and policy frameworks. In this study, various drought indices werecalculated using SSP scenarios derived from 18 CMIP6 global climate models. The SSP5-8.5 scenario was employed as the climate change scenario,and meteorological drought indices such as the Standardized Precipitation Index (SPI), Self-Calibrating Effective Drought Index (scEDI), andStandardized Precipitation Evapotranspiration Index (SPEI) were utilized to analyze the prediction and variability of future drought occurrences in SouthKorea.
참고문헌 (51)
- An, S. H., "Assessment of future drought index using SSP scenario in Rep. of Korea", Sustainability, 14(7), pp.4252~ (2022)[DOI]
- Bang, N. K., "Assessment of the meteorological characteristics and statistical drought frequency for the extreme 2017 spring drought event across South Korea", Journal of the Korean Society of Agricultural Engineers, 60(4), pp.37~48 (2018)[DOI]
- Boucher, O., "IPSL IPSL-CM6A-LR model output prepared for CMIP6ScenarioMIP", Earth System Grid Federation (2019)
- Byun, H. R., "Objective quantification of drought severity and duration", Journal of Climatology, 12, pp.2747~2756 (1999)[DOI]
- NIMS-KMA KACE1.0-G model output prepared for CMIP6 ScenarioMIP, "Byun, Y. H.", Earth System Grid Federation, ~ (2019)
- Chae, S. T., "Comparison of MIROC5 and MIROC6 projections for precipitation over South Korea", Journal of Korea Water Resources Association, 54(4), pp.229~240 (2021)[DOI]
- Choi, M. H., "Evaluation of drought indices via remotely sensed data with hydrological variables", Journal of Hydrology, 476, pp.265~273 (2013)[DOI]
- Dix, M., "CSIRO-ARCCSS ACCESS-CM2 model output prepared for CMIP6ScenarioMIP", Earth System Grid Federation (2019)
- EC-Earth-Consortium EC-Earth3model output prepared for CMIP6 ScenarioMIP, "EC-Earth Consortium", Earth System Grid Federation, ~ (2019)
- MOHC UKESM1.0-LL model output prepared for CMIP6ScenarioMIP, "Good, P.", Earth System Grid Federation, ~ (2019)
- NCC NorESM2-LM model output prepared for CMIP6 CMIP abrupt-4xCO2, "Graff, L. S.", Earth System Grid Federation, ~ (2019)
- Hajima, T., "Development of the MIROC-ES2L Earth system model and the evaluation of biogeochemical processes and feedbacks", Geoscientific Model Development, 13, pp.2197~2244 (2020)[DOI]
- Hur, J., "Production of digital climate maps with 1km resolution over Korean Peninsula using statistical downscaling model", Korean Journal of Agricultural and Forest Meteorology, 25(4), pp.404~414 (2023)[DOI]
- Climate change 2021: The physical science basis, Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, "IPCC", Cambridge University Press, ~ (2021)
- Jeon, M. G., "Climate change impacts on reference evapotranspiration in South Korea over the recent 100 years", Theoretical and Applied Climatology, 150, pp.309~326 (2022)[DOI]
- NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6ScenarioMIP, "John, J. G.", Earth System Grid Federation, ~ (2018)
- Jung, I., "Development of representative GCMs selection technique for uncertainty in climate change scenario", Journal of the Korean Society of Agricultural Engineers, 60(5), pp.149~162 (2018)[DOI]
- Jo, S. R., "Climatic yield potential changes under climate change over Korean Peninsula using 1-km high resolution SSP-RCP Scenarios", Korean Journal of Agricultural and Forest Meteorology, 25(4), pp.284~301 (2023)[DOI]
- Kim, Y. S., "Study on the change of climate zone in South Korea by the climate change scenarios", Korean Journal of Agricultural and Forest Meteorology, 19(2), pp.37~42 (2017)[DOI]
- Kim, K. H., "Assessing future water demand for irrigating paddy rice under Shared Socioeconomic Pathways(SSPs)scenario using the APEX-Paddy model", Journal of the Korean Society of Agricultural Engineers, 63(6), pp.1~16 (2021)[DOI]
- First cycle report on climate impact vulnerability assessment in the agricultural environment and ecology sector, "Kim, M. H.", National Institute of Agricultural Sciences, Rural Development Administration, ~ (2021)
- Kim, S. N., "Future runoff characteristics of Ganwol estuary reservoir watershed based on SSP scenarios", Journal of the Korean Society of Agricultural Engineers, 65(5), pp.25~35 (2023)[DOI]
- Kwon, H. J, "An irrigation reliability assessment of agricultural reservoir to establish response plan of future climate change adaptation", Journal of the Korean Society of Agricultural Engineers, 62(2), pp.111~120 (2020)[DOI]
- McKee, T. B., "The relationship of drought frequency and duration to time scales", 8th Conference on Applied Climatology, pp.179~184 (1993)
- Drought information analysis annual report, "Ministry of Environment", National Drought Information-Analysis Center, ~ (2019)
- Nam, W. H., "Has climate change already affected the spatial distribution and temporal trends of reference evapotranspiration in South Korea?", Agricultural Water Management, 150, pp.129~138 (2015)[DOI]
- Nam, W. H., "Drought hazard assessment in the context of climate change for South Korea", Agricultural Water Management, 160, pp.106~117 (2015)[DOI]
- Nam, W. H., "Projection of temporal trends on drought characteristics using the Standardized Precipitation Evapotranspiration Index(SPEI)in South Korea", Journal of the Korean Society of Agricultural Engineers, 57(1), pp.37~47 (2015)[DOI]
- Technical guide for producing detailed data on SSP climate change scenarios for use in agriculture, "National Institute of Agricultural Sciences", Rural Development Administration, ~ (2021)
- Oh, T. S., "Frequency analysis of meteorologic drought indices using boundary kernel density function", Journal of the Korean Society of Civil Engineers, 31(2B), pp.87~98 (2011)[DOI]
- O’Neill, B. C., "The roads ahead : Narratives for shared socioeconomic pathways describing world futures in the 21st century", Global Environmental Change, 42, pp.169~180 (2017)[DOI]
- Park, B. S., "Projection of future drought of Korea based on probabilistic approach using multi-model and multi climate change scenarios", KSCE Journal of Civil and Environmental Engineering Research, 33(5), pp.1871~1885 (2013)[DOI]
- Park, C. K., "A self-calibrating effective drought index (scEDI):Evaluation against social drought impact records over the Korean Peninsula (1777-2020)", Journal of Hydrology, 613, pp.128357~ (2022)[DOI]
- CNRM-CERFACS CNRM-ESM2-1model output prepared for CMIP6 ScenarioMIP, "Seferian, R.", Earth System Grid Federation, ~ (2019)
- DKRZ MPI-ESM1.2-HR model output prepared for CMIP6ScenarioMIP, "Schupfner, M.", Earth System Grid Federation, ~ (2019)
- Sung, H. M., "A study on the future projections for climate change adaptation in Korea -Focusing on research reports from NIMS", Journal of Climate Change Research, 14(6), pp.929~939 (2023)[DOI]
- CCCma CanESM5 model output prepared for CMIP6 ScenarioMIP, "Swart, N. C.", Earth System Grid Federation, ~ (2019)
- Tao, F., "Changes in agricultural water demands and soil moisture in China over the last half-century and their effects on agricultural production", Agricultural and Forest Meteorology, 118(3-4), pp.251~261 (2003)[DOI]
- Tatebe, H., "Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6", Geoscientific Model Development, 12(7), pp.2727~2765 (2019)[DOI]
- Thornthwaite, C. W., "An approach toward a rational classification of climate", Geographical Review, 38(1), pp.55~94 (1948)[DOI]
- Vicente-Serrano, S. M., "A multiscalar drought index sensitive to global warming : The Standardized Precipitation Evapotranspiration Index", Journal of Climate, 23(7), pp.1696~1718 (2010)[DOI]
- CNRM-CERFACS CNRM-CM6-1model output prepared for CMIP6 ScenarioMIP, "Voldoire, A.", Earth System Grid Federation, ~ (2019)
- INM INM-CM4-8model output prepared for CMIP6 ScenarioMIP, "Volodin, E.", Earth System Grid Federation, ~ (2019)
- INM INM-CM5-0model output prepared for CMIP6 ScenarioMIP, "Volodin, E.", Earth System Grid Federation, ~ (2019)
- MPI-M MPIESM1.2-LR model output prepared for CMIP6 ScenarioMIP, "Wieners, K. H.", Earth System Grid Federation, ~ (2019)
- Wilhite, D., "Understanding the complex impacts of drought : A key to enhancing drought mitigation and preparedness", Water Resources Management, 21, pp.763~774 (2007)[DOI]
- Wilhite, D. A., "Managing drought risk in a changing climate : The role of national drought policy", Weather and Climate Extremes, 3, pp.4~13 (2014)[DOI]
- An objective approach to definitions and investigations of continental hydrologic droughts, "Yevjevich, V.", Colorado State University, ~, pp.Hydrology Paper No. 23 (1967)
- MRI MRI-ESM2.0 model output prepared for CMIP6 ScenarioMIP, "Yukimoto, S.", Earth System Grid Federation, ~ (2019)
- Zhou, Z., "Insights from CMIP6SSP scenarios for future characteristics of propagation from meteorological drought to hydrological drought in the Pearl River Basin", Science of the Total Environment, 899, pp.165618~ (2023)[DOI]
- CSIRO ACCESS-ESM1.5 model output prepared for CMIP6CMIP, "Ziehn, T.", Earth System Grid Federation, ~ (2019)