Statistical Learning and Topkriging Improve Spatio‐Temporal Low‐Flow Estimation
Abstract This study evaluates the potential of a novel hierarchical space‐time model for predicting monthly low‐flow in ungauged basins. The model decomposes the monthly low‐flows into a mean field and a residual field, where the mean field represents the seasonal low‐flow regime plus a long‐term tr...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-04-01
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| Series: | Water Resources Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2024WR038329 |
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