Novel Deep Learning Transformer Model for Short to Sub‐Seasonal Streamflow Forecast
Abstract Accurate short‐to‐subseasonal streamflow forecasts are becoming crucial for effective water management in an increasingly variable climate. However, streamflow forecast remains challenging over extended lead times, uncertainty in meteorological inputs, and increased frequency and variabilit...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-07-01
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| Series: | Geophysical Research Letters |
| Online Access: | https://doi.org/10.1029/2025GL116707 |
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