Year: 2024
Type: preprint
Abstract: This resource contains the key source code, some sample data and the trained models from the paper: "End-to-end data-driven weather forecasting."
Source: arXiv (Cornell University)
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
SDG: Climate action
Open Access status: green
OpenAlex ID: W4393911083
