arXiv Open Access 2023

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

Rüdiger Brecht Alex Bihlo

Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

physics.ao-ph cs.LG math.NA

Penulis (2)

Rüdiger Brecht

Alex Bihlo

Format Sitasi

APA MLA BibTeX

Brecht, R., Bihlo, A. (2023). M-ENIAC: A machine learning recreation of the first successful numerical weather forecasts. https://arxiv.org/abs/2304.09070

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓