11 citations · 12 across the 4 of their papers we have counts for
4 papers
Continuous latent representations for modeling precipitation with deep learning
Gokul Radhakrishnan, Rahul Sundar, Nishant Parashar +3
The sparse and spatio-temporally discontinuous nature of precipitation data presents significant challenges for simulation and statistical processing for bias correction and downsc…
TAUDiff: Highly efficient kilometer-scale downscaling using generative diffusion models
Rahul Sundar, Yucong Hu, Nishant Parashar +2
Deterministic regression-based downscaling models for climate variables often suffer from spectral bias, which can be mitigated by generative models like diffusion models. To enabl…
A Multi-Scale Deep Learning Framework for Projecting Weather Extremes
Antoine Blanchard, Nishant Parashar, Boyko Dodov +2
Weather extremes are a major societal and economic hazard, claiming thousands of lives and causing billions of dollars in damage every year. Under climate change, their impact and…
A Local Spectral Exterior Calculus for the Sphere and Application to the Shallow Water Equations
Clauson Carvalho da Silva, Christian Lessig, Boyko Dodov +2
We introduce , a local spectral exterior calculus for the two-sphere . provides a discretization of Cartan's exterior calculus on formed by…