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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Main Author: | |
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Contributors: | |
Format: | Doctoral Thesis |
Language: | English |
Published: |
Philipps-Universität Marburg
2014
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Subjects: | |
Online Access: | PDF Full Text |
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PDF Full TextCall Number: |
urn:nbn:de:hebis:04-z2014-04754 |
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Publication Date: |
2014-12-16 |
Date of Acceptance: |
2014-11-18 |
Downloads: |
79 (2024), 78 (2023), 101 (2022), 95 (2021), 126 (2020), 113 (2019), 59 (2018) |
License: |
https://rightsstatements.org/vocab/InC-NC/1.0/ |
Access URL: |
https://archiv.ub.uni-marburg.de/diss/z2014/0475 https://doi.org/10.17192/z2014.0475 |