21 citations · 49 across the 18 of their papers we have counts for
4 papers · 1 filter
On Global Applicability and Location Transferability of Generative Deep Learning Models for Precipitation Downscaling
Paula Harder, Christian Lessig, Matthew Chantry +2
Deep learning offers promising capabilities for the statistical downscaling of climate and weather forecasts, with generative approaches showing particular success in capturing fin…
RainShift: A Benchmark for Precipitation Downscaling Across Geographies
Paula Harder, Luca Schmidt, Francis Pelletier +5
Earth System Models (ESM) are our main tool for projecting the impacts of climate change. However, running these models at sufficient resolution for local-scale risk-assessments is…
Efficient implementation of high-order isospectral symplectic Runge-Kutta schemes
Clauson Carvalho da Silva, Christian Lessig, Carlos Tomei
Isospectral Runge-Kutta methods are well-suited for the numerical solution of isospectral systems such as the rigid body and the Toda lattice. More recently, these integrators have…
SIGGRAPH: G: Improved Projective Dynamics Global Using Snapshots-based Reduced Bases
Shaimaa Monem, Peter Benner, Christian Lessig
We propose a snapshots-based method to compute reduction subspaces for physics-based simulations. Our method is applicable to any mesh with some artistic prior knowledge of the sol…