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A machine learning based 24-h-technique for an area-wide rainfall retrieval using MSG SEVIRI data over Central Europe
The aim of the present study was to develop a 24-h-technique for the process-related and quantitative estimation of precipitation in connection with extra-tropical cyclones in the mid-latitudes based on MSG SEVIRI data using the machine learning algorithm random forest. The algorithms and approach...
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| Format: | Dissertation |
| Langue: | anglais |
| Publié: |
Philipps-Universität Marburg
2014
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| Accès en ligne: | Texte intégral en PDF |
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