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...
I tiakina i:
Kaituhi matua: | |
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Ētahi atu kaituhi: | |
Hōputu: | Dissertation |
Reo: | Ingarihi |
I whakaputaina: |
Philipps-Universität Marburg
2014
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Ngā marau: | |
Urunga tuihono: | Kuputuhi katoa PDF |
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