Current physics-informed (standard or operator) neural networks still re...
Precipitation forecasts are less accurate compared to other meteorologic...
In 1950 the first successful numerical weather forecast was obtained by
...
We show that the error achievable using physics-informed neural networks...
We present a machine learning based method for learning first integrals ...
Lagrangian trajectory or particle dispersion models as well as
semi-Lagr...
Ensemble prediction systems are an invaluable tool for weather forecasti...
We propose a novel algorithmic method for constructing invariant variati...
We propose the use of physics-informed neural networks for solving the
s...
In this paper we introduce a procedure, based on the method of equivaria...