Optimal Postprocessing Strategies With LSTM for Global Streamflow Prediction in Ungauged Basins
Abstract Streamflow prediction in ungauged basins (PUB) is challenging, and Long Short‐Term Memory (LSTM) is widely used to for such predictions, owing to its excellent migration performance. Traditional LSTM forced by meteorological data and catchment attribute data barely highlight the optimum dat...
Saved in:
Main Authors: | Senlin Tang, Fubao Sun, Wenbin Liu, Hong Wang, Yao Feng, Ziwei Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-07-01
|
Series: | Water Resources Research |
Subjects: | |
Online Access: | https://doi.org/10.1029/2022WR034352 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Proof of Concept for Improving Estimates of Ungauged Basin Streamflow via an LSTM‐Based Synthetic Network Simulation Approach
by: A. A. Ramírez Molina, et al.
Published: (2025-06-01) -
Exploring Signature‐Based Model Calibration for Streamflow Prediction in Ungauged Basins
by: Marco Dal Molin, et al.
Published: (2023-07-01) -
Coupling Machine Learning and Physically Based Hydrological Models for Reservoir-Based Streamflow Forecasting
by: Benjun Jia, et al.
Published: (2025-07-01) -
Effect of hydrologic modification and interbasin water transfers on streamflow metrics affecting aquatic ecology in Arequipa, Peru
by: Fariborz Daneshvar, et al.
Published: (2025-08-01) -
Future Streamflow and Hydrological Drought Under CMIP6 Climate Projections
by: Tao Liu, et al.
Published: (2025-06-01)