Integratedly analyzing data from satellite- and ground-based earth observations, outputs from climate and numerical weather prediction models, and geospatial and socio-economic information. Based on that, providing vital information for water-related disaster management and adaptation to climate change as well as efficient water usage. Creating a data integration platform on DIAS to combine hydrological data and models with data and models from various fields such as disasters, urban planning, and economics. Developing supporting methods for water-related disaster rick reduction and emergency response, and demonstrating pilot studies.
Exploring new practical research fields by promoting multi-disciplinary research and conducting surveys and research for supporting decision-making process, problem solving, and addressing water-related social issues. Creating an academic platform supporting inter- disciplinary (among academics) and trans-disciplinary (between academics and society) cooperation in the water cycle and water-related fields.