Spatial climate prediction is essential for assessing impacts of climate change and designing and prioritizing adaptation strategies and measures to address the impacts. Climate change projection can also facilitate land use and urban planning through the assessment of impacts of land use change on regional climate change.  Currently, climate impact assessment researchers and land use and urban planners need to either request climate prediction researchers to generate necessary data or apply dynamic downscaling to the data by themselves in order to obtain detailed spatial climate prediction data in accordance to their own purposes. However, dynamic downscaling requires advanced specialized knowledge; hence its application is extremely difficult. Responding to the needs for making local climate change projections and assessments without advanced modeling skills, the University of Tsukuba has developed a downscaling assessment system called S8 Downscaler. It aims to keep the workload to a minimum for those non-specialists of climate modeling, including climate change impact assessors, land use planners and urban planning analysts, to acquire information regarding local climate change projections. It also enables assessing impacts of future urbanization and farmland development on regional climate change and mitigating effects of greening and energy-saving policies on regional heat environments.  More details...