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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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| フォーマット: | Dissertation |
| 言語: | 英語 |
| 出版事項: |
Philipps-Universität Marburg
2014
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| オンライン･アクセス: | PDFフルテキスト |
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