Estimating the added value of GRACE total water storage and uncertainty quantification in seasonal streamflow forecasting
Author:
Affiliation:
1. Institute of Hydrology and Water Resources, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, China
Funder
National Natural Science Foundation of China
Key Project of Zhejiang Natural Science Foundation
Publisher
Informa UK Limited
Subject
Water Science and Technology
Link
https://www.tandfonline.com/doi/pdf/10.1080/02626667.2021.1998510
Reference57 articles.
1. Performance Assessment of the Linear, Nonlinear and Nonparametric Data Driven Models in River Flow Forecasting
2. Value of long-term streamflow forecasts to reservoir operations for water supply in snow-dominated river catchments
3. A national-scale seasonal hydrological forecast system: development and evaluation over Britain
4. Improved modeling of snow and glacier melting by a progressive two-stage calibration strategy with GRACE and multisource data: How snow and glacier meltwater contributes to the runoff of the Upper Brahmaputra River basin?
5. Bias correcting precipitation forecasts to improve the skill of seasonal streamflow forecasts
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3. Accurate statistical seasonal streamflow forecasts developed by incorporating remote sensing soil moisture and terrestrial water storage anomaly information;Journal of Hydrology;2023-11
4. Multi-source rainfall merging and reservoir inflow forecasting by ensemble technique and artificial intelligence;Journal of Hydrology: Regional Studies;2022-12
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