Long short-term memory networks enhance rainfall-runoff modelling at the national scale of Denmark
This study explores the application of long short-term memory (LSTM) networks to simulate runoff at the national scale of Denmark using data from 301 catchments. This is the first LSTM application on Danish data. The results were benchmarked against the Danish national water resources model (DK-mode...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Geological Survey of Denmark and Greenland
2022-01-01
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| Series: | GEUS Bulletin |
| Subjects: | |
| Online Access: | https://geusbulletin.org/index.php/geusb/article/view/8292/14248 |