On April 11, 2018, the 3rd Collaborative Research Meeting for the Academic-Industry Collaboration Program “Water Cycle Data Integrator” was held at the Institute of Industrial Science, UTokyo.Read more
DIAS Community Forum 2018 was held in Tokyo on March 9, 2018. The objective of the Forum was to discuss further development for better access and usage of DIAS among both “producers” of the global-scale environmental data and “users” in the fields of water/disaster, agriculture/forestry/fisheries, and energy/distribution.Read more
This new program aims to promote research activities, education, and operational implementation of the data integration approach for addressing water cycle related issues. Using the Data Integration and Analysis System (DIAS), we investigate water cycle variations and its possible future changes and provide vital information for integrated water resources management practices including efficient water usage as well as mitigation of water-related disasters. At the same time, we aim to implement the system in society through domestic and international arrangements and generate public benefits as well as provide systematic education using scientific knowledge acquired through data integration and its implementation.
Creating new, value-added scientific knowledge through integration and analysis of "big data".
Systematic education using the scientific knowledge acquired through data integration and information fusion.
Contributing to global problem solving by providing pertinent and actionable information for decision-makers.
By integrating data from satellite- and ground-based Earth observations and outputs from climate and numerical weather prediction models with geographical and socio-economic information, we investigate water cycle variations and its possible future changes and provide vital information for integrated water resources management practices including efficient water usage as well as mitigation of water-related disasters. Using DIAS, we create a data integration platform to combine hydrological models with data and models from various fields such as disasters, urban planning, and economics. We aim to develop assessment methods for large-scale water hazard and countermeasures on disaster emergency response, and demonstrate pilot studies that provide sound information for solutions.
By development of data and model integration for water cycle and water related fields, data share in both natural science and social science fields as well as interdisciplinary research will be facilited. We aim to initiate cooperation with various stakeholders such as government and public sectors and create scientific knowledge to support their decision making and planning. We will contribute to foster creation of an environment where such knowledge can be widely shared. At the same time, we hope to promote sustainable development based on scientific evidences and operational implementation in society for disaster prevention.