Methods and systems for climate forecasting using artificial neural networks
US12204068B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 24, 2022 |
| Grant date | Jan 21, 2025 |
| Priority date | — |
| Expiry date | Jan 24, 2042 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A90/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for generating a neural network (NN)-based climate forecasting model are disclosed. The methods and systems perform steps of selecting a global climate simulation dataset from a plurality of simulation datasets each generated from a global climate simulation model; training the NN-based climate forecasting model on the selected global climate simulation dataset; and validating the NN-based climate forecasting model using observational historical climate data. Embodiments of the present invention enable accurate climate forecasting without the need to run new dynamical global climate simulations on supercomputers. Also disclosed are benefits of the new methods, and alternative embodiments of implementation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.