143 citations · 757 across the 54 of their papers we have counts for
8 papers · 1 filter
Towards replacing precipitation ensemble predictions systems using machine learning
Rüdiger Brecht, Alex Bihlo
Precipitation forecasts are less accurate compared to other meteorological fields because several key processes affecting precipitation distribution and intensity occur below the r…
M-ENIAC: A machine learning recreation of the first successful numerical weather forecasts
Rüdiger Brecht, Alex Bihlo
In 1950 the first successful numerical weather forecast was obtained by solving the barotropic vorticity equation using the Electronic Numerical Integrator and Computer (ENIAC), wh…
Improving trajectory calculations using deep learning inspired single image superresolution
Rüdiger Brecht, Lucie Bakels, Alex Bihlo +1
Lagrangian trajectory or particle dispersion models as well as semi-Lagrangian advection schemes require meteorological data such as wind, temperature and geopotential at the exact…
A generative adversarial network approach to (ensemble) weather prediction
Alexander Bihlo
We use a conditional deep convolutional generative adversarial network to predict the geopotential height of the 500 hPa pressure level, the two-meter temperature and the total pre…
Invariant parameterization of geostrophic eddies in the ocean
Alexander Bihlo, Elsa Dos Santos Cardoso-Bihlo, Roman O. Popovych
The framework of invariant parameterization is extended to higher-order closure schemes. We also define, for the first time, generalized invariant parameterization schemes, where s…
A well-balanced meshless tsunami propagation and inundation model
Rüdiger Brecht, Alexander Bihlo, Scott MacLachlan +1
We present a novel meshless tsunami propagation and inundation model. We discretize the nonlinear shallow-water equations using a well-balanced scheme relying on radial basis funct…