Comparing conceptual and super ensemble deep learning models for streamflow simulation in data-scarce catchments
Study Region: Sore and Masha river catchments in Baro Akobo river basin: Ethiopia. Study Focus: This research addresses the challenges associated with conventional data-driven streamflow modelling, which often exhibits inconsistent performance across different variability states. To bridge this gap,...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-04-01
|
| Series: | Journal of Hydrology: Regional Studies |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581824000429 |