
가뭄특화연구센터란?
가뭄예측 원천 기술 개발
연구/모니터링/예측 통합
선제적 가뭄대응 체계
차세대 전문인력 배양
핵심 연구 분야
가뭄전망모형 및 가뭄위험도 평가기술 개발
기상가뭄 장기예측체계 개발
가뭄 발생/지속/강도결정 역학 규명을 통한 가뭄 장주기 개념모델 개발
SCI Journal
[28] Ryu, Jihun, et al. “Time of emergence (TOE) of potential aridification in the western United States.” Journal of Hydrology (2025): 133029.
[27] Ryu, J., Wang, SY., Jeong, JH. et al. Sub-seasonal prediction skill: is the mean state a good model evaluation metric?. Clim Dyn 62, 7927–7942 (2024). h
[26] Peries, S. D., Sewwandi, M., Sandanayake, S., Kwon, H. H., & Vithanage, M. (2024). Airborne Transboundary Microplastics–A Swirl Around the Globe. Environmental Pollution, 124080.
[25] Cho, H., Sofia, P., Kang, S., & Kwon, H. H. (2023, May). Streamflow prediction and drought index production based on the Bayesian autoregressive exogenous stochastic volatility model using climate factor. In EGU General Assembly Conference Abstracts (pp. EGU-10340).
[24] Cho, H., Sofia, P., Kang, S., & Kwon, H. H. (2023, May). Streamflow prediction and drought index production based on the Bayesian autoregressive exogenous stochastic volatility model using climate factor. In EGU General Assembly Conference Abstracts (pp. EGU-10340).
[23] Moon, S., Utsumi, N., Jeong, J. H., Yoon, J. H., Wang, S. Y. S., Shiogama, H., & Kim, H. (2023). Anthropogenic warming induced intensification of summer monsoon frontal precipitation over East Asia. Science Advances, 9(47), eadh4195.
[21] Son, R., Ma, P. L., Wang, H., Rasch, P. J., Wang, S. Y., Kim, H., … & Yoon, J. H. (2022). Deep learning provides substantial improvements to county‐level fire weather forecasting over the western united states. Journal of Advances in Modeling Earth Systems, 14(10), e2022MS002995.
[20] Kim, K. B., Uranchimeg, S., & Kwon, H. H. (2022). A multivariate Chain-Bernoulli-based prediction model for cyanobacteria algal blooms at multiple stations in South Korea. Environmental Pollution, 313, 120078.
[19] Ham, Y. G., Kang, S. Y., Jeong, Y., Jeong, J. H., & Li, T. (2022). Large-scale sea surface temperature forcing contributed to the 2013–17 record-breaking meteorological drought in the Korean Peninsula. Journal of Climate, 35(12), 3767-3783.
[18] Kim, K. B., Kwon, H. H., & Han, D. (2022). Intercomparison of joint bias correction methods for precipitation and flow from a hydrological perspective. Journal of Hydrology, 604, 127261.
[17] Kim, Y. T., Kwon, H. H., Lima, C., & Sharma, A. (2021). A novel spatial downscaling approach for climate change assessment in regions with sparse ground data networks. Geophysical Research Letters, 48(22), e2021GL095729.
[16] Son, R., Wang, S. S., Kim, S. H., Kim, H., Jeong, J. H., & Yoon, J. H. (2021). Recurrent pattern of extreme fire weather in California. Environmental Research Letters, 16(9), 094031.
ISO 690
[15] Son, R., Kim, H., Wang, S. Y. S., Jeong, J. H., Woo, S. H., Jeong, J. Y., … & Yoon, J. H. (2021). Changes in fire weather climatology under 1.5° C and 2.0° C warming. Environmental Research Letters, 16(3), 034058.
[14] Lima, C. H., Kwon, H. H., & Kim, Y. T. (2021). A Bayesian Kriging model applied for spatial downscaling of daily rainfall from GCMs. Journal of Hydrology, 597, 126095.
[13] Bum Kim, K., Kwon, H. H., & Han, D. (2021). Bias-correction schemes for calibrated flow in a conceptual hydrological model. Hydrology Research, 52(1), 196-211.
[12] Zhang, P., Jeong, J. H., Yoon, J. H., Kim, H., Wang, S. Y. S., Linderholm, H. W., … & Chen, D. (2020). Abrupt shift to hotter and drier climate over inner East Asia beyond the tipping point. Science, 370(6520), 1095-1099.
[11] Ham, Y. G., Joo, Y. S., & Park, J. Y. (2021). Mechanism of skillful seasonal surface chlorophyll prediction over the southern Pacific using a global earth system model. Climate Dynamics, 56, 45-64.
[10] Kwon, M., Kwon, H. H., & Han, D. (2020). A hybrid approach combining conceptual hydrological models, support vector machines and remote sensing data for rainfall-runoff modeling. Remote Sensing, 12(11), 1801.
[9] Kim, Y. T., So, B. J., Kwon, H. H., & Lall, U. (2020). A multiscale precipitation forecasting framework: Linking teleconnections and climate dipoles to seasonal and 24‐hr extreme rainfall prediction. Geophysical Research Letters, 47(3), e2019GL085418.
[8] Kim, M. S., Zhang, P., Woo, S. H., Koh, Y., Linderholm, H. W., & Jeong, J. H. (2020). The potential of using tree-ring chronology from the southern coast of Korea to reconstruct the climate of subtropical Western North Pacific: A pilot study. Atmosphere, 11(10), 1082.
[7] Woo, S. H., Choi, J., & Jeong, J. H. (2020). Modulation of ENSO teleconnection on the relationship between arctic oscillation and wintertime temperature variation in South Korea. Atmosphere, 11(9), 950.
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[1] Naveendrakumar, G., Vithanage, M., Kwon, H. H., Iqbal, M. C. M., Pathmarajah, S., & Obeysekera, J. (2018). Five decadal trends in averages and extremes of rainfall and temperature in Sri Lanka. Advances in Meteorology, 2018, 1-13.
Non-SCI Journal
[4] Park, T. W., Lee, C. G., Park, D. S. R., Hong, J. G., & Oh, S. (2023). New Definition Method for Urban and Rural Regions Considering Surrounding Environments of Observation Stations Over South Korea. Asia-Pacific Journal of Atmospheric Sciences, 1-12.
[3] Yu, J. U., Oh, S. C., Lee, B., & Kwon, H. H. (2022). Multi parameter optimization framework of an event-based rainfall-runoff model with the use of multiple rainfall events based on DDS algorithm. Journal of Korea Water Resources Association, 55(11), 887-901.
[2] Kim, K. M., Woo, S. H., Baek, E. H., & Jeong, J. H. (2022). Characteristics of and changes in summertime flash droughts in South Korea, 1982~ 2020. J Clim Chang Res, 13(3), 283-298.
[1] Ham, Y. G., Na, H. Y., & Oh, S. H. (2019). Role of sea surface temperature over the Kuroshio extension region on heavy rainfall events over the Korean peninsula. Asia-Pacific Journal of Atmospheric Sciences, 55, 19-29.non-SCI