Research
Overview / Projects
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Overview
Overview
Eco-Hydrological Prediction with Land Surface Models (LSMs) and Machine Learning
Land Data Assimilation with the Satellite Remote Sensing
Land-Biosphere-Atmosphere Interactions
Extreme Hydroclimate Events including Flood and Drought
Sustainable Water Resources Management
지면모형 및 기계학습 기반 수문 예측
위성자료 및 모형 융합을 통한 예측
지면-생태-대기 상호작용 규명 및 이해 (물, 에너지, 탄소 순환)
홍수, 가뭄 등 극한 수문기후 사상
기후변화 적응 및 지속가능 수자원 관리
Eco-Hydrological Predictions
Eco-Hydrological Predictions
Improving the streamflow prediction with deep learning in Korea (WRF-Hydro/LSTM)
Land data assimilation (EnKF) for the hydrologic simulation in East Asia (NCAR CLM)
DGVM for the earth system model (NASA Ent)
Biosphere-Atmosphere Interactions
Biosphere-Atmosphere Interactions
Changes in phenology and water-carbon fluxes in Alaska (ED2)
Arctic land-atmosphere interactions (NCAR CESM)
Impacts of fires and vegetation dynamics in water and carbon fluxes (NCAR CLM-DGVM)
Vegetation phenology and land-atmosphere interactions in Amazon (ED2) paperImproving the streamflow prediction with deep learning in Korea (WRF-Hydro/LSTM)
Land data assimilation (EnKF) for the hydrologic simulation in East Asia (NCAR CLM)
DGVM for the earth system model (NASA Ent)
Extreme Hydroclimate Events - Flood and Drought
Extreme Hydroclimate Events - Flood and Drought
Radar-based precipitation nowcasting with AI (conditional GAN)
Understanding future drought risks over the globe paper
Revised Drought Severity Index
Quantifying droughts with SPEI
Sustainable Water Resources Management
Sustainable Water Resources Management
Water resources planning under climate and socio-economic changes in Pakistan (WEAP)
Water use sustainability in Korea
Robust adaptation strategies for climate change
Climate change vulnerability in water resources
Projects
Projects
Active
Active
(Participant) Citizen driven climate change adaptation by policy evaluation using citizen-socio-economic-environmental data, Korea Environmental Industry and Technology Institute (KEITI) / Ministry of Environment, 2025-2028 [시민참여형 기후 적응 최적화를 위한 시민·사회·경제·환경 데이터 분석을 통한 정책평가기술 개발, 한국환경산업기술원]
(Subrecipient PI) Reinventing climate change adaptation with the Climate Resilience Early Warning System (CREWSnet), Massachusetts Institute of Technology (MIT), 2024-2026
(Participant) Autonomous evolutionary AI-based smart sensing platform for early detection and proactive response to levee failures, National Research Foundation of Korea (NRF), 2024-2028 [자율 진화형 인공지능 기반 제방 붕괴 조기 감지 및 선제적 대응 스마트 센싱 플랫폼 개발, 한국연구재단]
(PI) Global and regional water model integrating Al and physics for future water resources risk management, National Research Foundation of Korea (NRF), 2024-2029 [미래 수자원 리스크 대응을 위한 AI-물리 융합 기반 글로벌 및 지역 물 모델 기술 개발]
(Co-PI) Developing a severity-based emergency response protocol for water shortage using linked operations of water supply facilities, Korea Environmental Industry and Technology Institute (KEITI) / Ministry of Environment, 2023-2026 [수자원 시설 연계운영 기반의 물 부족 규모별 비상대응 체계 구축, 한국환경산업기술원]
(Co-PI) Development of technology for optimal flood response and effect analysis reflecting watershed characteristics, Korea Environmental Industry and Technology Institute (KEITI) / Ministry of Environment, 2023-2026 [유역 특성을 반영한 홍수 대응 최적화 기술 및 효과분석 기술 개발, 한국환경산업기술원]
(PI) Estimation of carbon budget in wetland ecosystems, Korea Environmental Industry and Technology Institute (KEITI) / Ministry of Environment, 2022–2026 [습지생태계 탄소수지 정량화 기술 개발, 한국환경산업기술원]
Completed
Completed
(Co-PI) Integrated underground infrastructure maintenance package through AI-based defect video analysis and remaining service life prediction, Korea Technology and Information Promotion Agency (TIPA) / Ministry of SMEs and Startups, 2025
(PI) LSM-based seasonal forecasting skills of water/carbon cycles, National Research Foundation of Korea (NRF), 2022–2025
(PI) Fire prediction and impact assessment in Alaska with the integrated AI and process-based model, Korea Polar Research Institute (KOPRI), 2022–2024
(PI) Improving the ecohydrological drought prediction and predicting drought impacts with using the machine learning and the land surface models over the Korean Peninsula and Asia, National Research Foundation of Korea (NRF), 2020–2024
(PI) Future change of ecohydrological droughts based on statistical downscaling and multiple land surface models, National Research Foundation of Korea (NRF), 2021-2023
(PI) Assessing the carbon-water-energy impacts of urban green infrastructure to mitigate climate risk for carbon neutral, Korea Agency for Infrastructure Technology Advancement (KAIA) / Ministry of Land, Infrastructure and Transport, 2021–2022
(PI) Drought predictions with combining machine learning and process-based model, National Research Foundation of Korea (NRF), 2018–2020
(PI) Bottom-up model and data for climate change adaptation and mitigation in water, forest and ecosystem sectors, Korea Environment Institute (KEI) / Korea Environmental Industry and Technology Institute (KEITI) / Ministry of Environment, 2018–2020
(PI) Understanding the arctic shrub expansion with the Ecosystem Demography Model, Korea Polar Research Institute (KOPRI), 2017–2019
(Participant) Earth system modeling for the pan-arctic regions, National Research Foundation of Korea (NRF), 2017–2020
(PI) Eco-hydrologic data assimilation and streamflow drought assessment in Korea, National Research Foundation of Korea (NRF), 2015–2018
(PI) Eco-hydrologic data-model fusion to understand drought processes in East Asia, Korea Meteorological Institute (KMI) / Korea Meteorology Agency, 2015–2018
(PI) Indicators for the sustainable water use, Korea Environment Institute (KEI), 2015
(Participant) Climate change adaptation for watershed management, Korea Agency for Infrastructure Technology Advancement (KAIA) / Ministry of Land, Infrastructure and Transport, 2015–2020
© 2026 Department of Civil and Environmental Engineering, Yonsei Univ., Seoul, Korea
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