Investigating anthropogenic alteration on natural processes and the feedback to human society. Developing numerical schemes representing human activities in various sectors (e.g., water, agriculture, and energy) for global physical models and assessing their
impacts. Investigating renewable energy development (e.g., photovoltaics) and the impact on regional and global climate. Incorporating societal and economic approaches into a numerical modeling framework to provide quantitative guides and evidences for international initiatives such as UN Sustainable Development Goals.
Developing numerical schemes (e.g., flood inundation) and modeling framework for global scale hydrological simulations including development of a long-term (> 100-year) surface meteorology dataset. Quantifying energy-water balances and land-atmosphere interactions under climate changes. Investigating climate variabilities (e.g., El Niño) and their teleconnection patterns to regional hydrology and related disaster risks such as flood and drought. Estimating simulation uncertainty and constructing a benchmark environment.
Estimating uncertainty of radar and radiometer satellite precipitation remote sensing (e.g., TRMM and GPM) and developing a retrieval algorithm considering the physical conditions of the land and atmosphere. Detecting changes of freshwater availabilities using satellite gravimetry (e.g., GRACE). Monitoring surface water height using satellite altimetry (e.g., Jason and SWOT) and incorporating with deep-learning for short-lead (< 24-hour) river stage forecast. Developing big data (including satellite observation) I/O, analysis and assimilation framework.