Machine Learning Approach to Classify Rain Type Based on Thies Disdrometers and Cloud Observations
Rain microstructure parameters assessed by disdrometers are commonly used to classify rain into convective and stratiform. However, different types of disdrometer result in different values for these parameters. This in turn potentially deteriorates the quality of rain type classifications. Thies di...
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| Huvudupphov: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
MDPI AG
2019-05-01
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| Serie: | Atmosphere |
| Ämnen: | |
| Länkar: | https://www.mdpi.com/2073-4433/10/5/251 |
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