d4PDF: large-ensemble and high-resolution climate simulations for global warming risk assessment

• Published in: Progress in earth and planetary science Vol. 7; no. 1; pp. 1 - 22
• Main Authors: Ishii, Masayoshi, Mori, Nobuhito
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 07.10.2020; SpringerOpen
• Subjects: 2. Atmospheric and hydrospheric sciences; Atmospheric model; Atmospheric Sciences; Biogeosciences; d4PDF; Detection and attribution; Dynamical downscaling; Earth and Environmental Science; Earth Sciences; Ensemble climate simulation; Geophysics/Geodesy; Global warming; Hydrogeology; Planetology; Projection and impact assessment of global change; Review; Atmospheric model; Natural hazard; d4PDF; Dynamical downscaling; Global warming; Storm surge; Ensemble climate simulation; Detection and attribution; Impact assessment; Climate change adaptation

A large-ensemble climate simulation database, which is known as the database for policy decision-making for future climate changes (d4PDF), was designed for climate change risk assessments. Since the completion of the first set of climate simulations in 2015, the database has been growing continuous...