7 citations · 14 across the 4 of their papers we have counts for
4 papers
Reduced order modeling of dynamical systems using artificial neural networks applied to water circulation
Alberto Costa Nogueira, João Lucas de Sousa Almeida, Guillaume Auger +1
General circulation models are essential tools in weather and hydrodynamic simulation. They solve discretized, complex physical equations in order to compute evolutionary states of…
A modular framework for extreme weather generation
Bianca Zadrozny, Campbell D. Watson, Daniela Szwarcman +4
Extreme weather events have an enormous impact on society and are expected to become more frequent and severe with climate change. In this context, resilience planning becomes cruc…
Long-Range Seasonal Forecasting of 2m-Temperature with Machine Learning
Etienne E. Vos, Ashley Gritzman, Sibusisiwe Makhanya +2
A significant challenge in seasonal climate prediction is whether a prediction can beat climatology. We hereby present results from two data-driven models - a convolutional (CNN) a…
Investigating two super-resolution methods for downscaling precipitation: ESRGAN and CAR
Campbell D. Watson, Chulin Wang, Timothy Lynar +1
In an effort to provide optimal inputs to downstream modeling systems (e.g., a hydrodynamics model that simulates the water circulation of a lake), we hereby strive to enhance reso…