Differing roles of base and fast flow in ensemble seasonal streamflow forecasting: An experimental investigation-Reference-Cited by-同舟云学术

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Differing roles of base and fast flow in ensemble seasonal streamflow forecasting: An experimental investigation

Published:2020-12 Issue: Volume:591 Page:125272
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Huang Zeqing,Zhao Tongtiegang^ORCID,Liu Yang,Zhang Yongyong^ORCID,Jiang Tao,Lin Kairong^ORCID,Chen Xiaohong^ORCID

Funder

National Natural Science Foundation of China

Guangdong Science and Technology Department

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference81 articles.

1. Evaluation of stochastic and artificial intelligence models in modeling and predicting of river daily flow time series;Aghelpour;Stoch. Env. Res. Risk Assess.,2020

2. Decision support system for optimizing reservoir operations using ensemble streamflow predictions;Alemu;J. Water Resour. Plann. Manage.,2010

3. Multiscale Postprocessor for Ensemble Streamflow Prediction for Short to Long Ranges;Alizadeh;J. Hydrometeorol.,2020

4. Alizadeh, B., 2019. Improving Post Processing of Ensemble Streamflow Forecast for Short-to-long Ranges: A Multiscale Approach.

5. Value of long-term streamflow forecasts to reservoir operations for water supply in snow-dominated river catchments;Anghileri;Water Resour. Res.,2016

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