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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2021-09-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-021-01016-4 |