M-ENIAC: A machine learning recreation of the first successful numerical weather forecasts

Autor:	Brecht, Rüdiger, Bihlo, Alex
Rok vydání:	2023
Předmět:	Physics - Atmospheric and Oceanic Physics Computer Science - Machine Learning Mathematics - Numerical Analysis
Druh dokumentu:	Working Paper
Popis:	In 1950 the first successful numerical weather forecast was obtained by solving the barotropic vorticity equation using the Electronic Numerical Integrator and Computer (ENIAC), which marked the beginning of the age of numerical weather prediction. Here, we ask the question of how these numerical forecasts would have turned out, if machine learning based solvers had been used instead of standard numerical discretizations. Specifically, we recreate these numerical forecasts using physics-informed neural networks. We show that physics-informed neural networks provide an easier and more accurate methodology for solving meteorological equations on the sphere, as compared to the ENIAC solver. Comment: 10 pages, 1 figure
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2304.09070 Zobrazit plný text záznamu View this record from Arxiv