Given projections of a warmer climate, there has been a rapid expansion in scientific interest in how ecosystems will respond to altered climate, groundwater depletion, and periods of prolonged stress.
Hydro-sustainability group provides a framework for understanding the resilience and vulnerability of different ecosystems to climate variability and change. We study water cycle under a changing climate, water-energy-carbon nexus, and green infrastructure in urban systems. We use the synthesis of modeling and field experiments in both dryland and humid regions to examine the hydrologic cycle under an altered climate and increasing climate variability. We couple ecohydrological modeling and field experimentation that mutually inform each other to provide detailed insights at a range of scales and guide us about the place-specific and the generality of the scientific outcomes.
Our group addresses key challenges in climate science where machine learning can provide meaningful advances. Past work has included characterizing statistical dependencies underlying physical processes, and developing interpretable predictive models for climate variables. Our current research centers on hydroclimate analysis of precipitable water, precipitation, vegetation, and other critical variables on the hourly to interannual timescale.
Studies from our group, while providing deep insights for extremely dry and wet regions, enable broader generalizations regarding the interaction between groundwater, surface water, atmosphere, and aboveground assemblage and their roles in whole-ecosystem performance under a changing climate.
[Ongoing Research Projects]
지속가능한 크리티컬 존을 위한 물-식량-탄소 역설 분석: 장기 실측과 AI-물리기반 하이브리드 모형 개발
토양기반 탄소흡수기술 통합영향평가 모델 개발