Using supervised learning to develop BaRAD, a 40-year monthly bias-adjusted global gridded radiation dataset
Measurement(s) radiation components at the surface Technology Type(s) machine learning Factor Type(s) radiation Sample Characteristic - Environment climate Sample Characteristic - Location global Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.15090...
Enregistré dans:
| Auteurs principaux: | , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/dcc9c77c48794b95a7f267838e8a27d1 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|