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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...
में बचाया:
| मुख्य लेखक: | |
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| अन्य लेखक: | |
| स्वरूप: | Dissertation |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
Philipps-Universität Marburg
2014
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| विषय: | |
| ऑनलाइन पहुंच: | पीडीएफ पूर्ण पाठ |
| टैग: |
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