Quantitative Precipitation Estimates Using Machine Learning Approaches with Operational Dual-Polarization Radar Data
Traditional radar-based rainfall estimation is typically done by known functional relationships between the rainfall intensity (R) and radar measurables, such as R–Z<sub>h</sub>, R–(Z<sub>h</sub>, Z<sub>DR</sub>), etc. One of the biggest advantages of machine lear...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-02-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/4/694 |