Details zur Publikation |
| Kategorie | Datenpublikation |
| DOI | 10.5281/zenodo.17937464 |
| Lizenz |
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| Titel (primär) | Scalable radar-driven approach with compact gradient-boosting models for gap filling in high-resolution precipitation measurements |
| Autor | Lünenschloß, P.; Claussnitzer, A.; Schartner, T.; Brunner, M.; Houben, T.; Schäfer, D.; Bumberger, J.
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| Quelle | Zenodo |
| Erscheinungsjahr | 2025 |
| Department | MET |
| Sprache | englisch |
| Topic | T5 Future Landscapes |
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=31755 |
| Lünenschloß, P., Claussnitzer, A., Schartner, T., Brunner, M., Houben, T., Schäfer, D., Bumberger, J. (2025): Scalable radar-driven approach with compact gradient-boosting models for gap filling in high-resolution precipitation measurements Zenodo 10.5281/zenodo.17937464 |
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