A deep learning approach for improving spatiotemporal resolution of numerical weather prediction forecasts
- DOI
- 10.1038/s41598-025-17867-5
- Published
- 2025-09-25
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-17867-5,
title = {A deep learning approach for improving spatiotemporal resolution of numerical weather prediction forecasts},
author = {Décio Alves and Fábio Mendonça and Sheikh Shanawaz Mostafa and Fernando Morgado-Dias},
year = {2025},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-17867-5},
url = {https://doi.org/10.1038/s41598-025-17867-5}
}RIS
TY - JOUR TI - A deep learning approach for improving spatiotemporal resolution of numerical weather prediction forecasts AU - Décio Alves AU - Fábio Mendonça AU - Sheikh Shanawaz Mostafa AU - Fernando Morgado-Dias PY - 2025 JO - Scientific Reports DO - 10.1038/s41598-025-17867-5 UR - https://doi.org/10.1038/s41598-025-17867-5 ER -
APA
Alves, D., Mendonça, F., Mostafa, S. S., & Morgado-Dias, F. (2025). A deep learning approach for improving spatiotemporal resolution of numerical weather prediction forecasts. Scientific Reports. https://doi.org/10.1038/s41598-025-17867-5
Source records
- crossref · retrieved 2026-09-26T13:52:21.280Z