Machine learning approach for the estimation of missing precipitation data: a case study of South Korea
Precipitation is one of the driving forces in water cycles, and it is vital for understanding the water cycle, such as surface runoff, soil moisture, and evapotranspiration. However, missing precipitation data at the observatory becomes an obstacle to improving the accuracy and efficiency of hydrolo...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IWA Publishing
2023-08-01
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| Series: | Water Science and Technology |
| Subjects: | |
| Online Access: | http://wst.iwaponline.com/content/88/3/556 |