4 citations · 4 across the 3 of their papers we have counts for
3 papers
Generative climate downscaling enables high-resolution compound risk assessment by preserving multivariate dependencies
Takuro Kutsuna, Noriko N. Ishizaki, Norihiro Oyama +1
Physics-based climate projections using general circulation models are essential for assessing future risks, but their coarse resolution limits regional decision-making. Statistica…
Enhanced collective vibrations in granular materials
Shihori Koyama, Norihiro Oyama, Hideyuki Mizuno +1
Granular materials are defined as collections of macroscopic dissipative particles. Although these systems are ubiquitous in our lives, the nature and the causes of their non-trivi…
Deep generative model super-resolves spatially correlated multiregional climate data
Norihiro Oyama, Noriko N. Ishizaki, Satoshi Koide +1
Super-resolving the coarse outputs of global climate simulations, termed downscaling, is crucial in making political and social decisions on systems requiring long-term climate cha…