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Journal Articles

A novel hybrid XAJ-LSTM model for multi-step-ahead flood forecasting

Open Access
Zhen Cui, Yanlai Zhou, Shenglian Guo, Jun Wang, Huanhuan Ba ...
Hydrology Research (2021) 52 (6): 1436–1454.
DOI: https://doi.org/10.2166/nh.2021.016
Date Online: 29 June 2021
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View articletitled, A novel hybrid XAJ-LSTM model for multi-step-ahead flood forecasting View PDF for article titled, A novel hybrid XAJ-LSTM model for multi-step-ahead flood forecasting
Includes: Supplementary data
Journal Articles

Quantification of the forecast uncertainty using conditional probability and updating models

Free
Huanhuan Ba, Shenglian Guo, Yixuan Zhong, Shaokun He, Xushu Wu
Hydrology Research (2019) 50 (6): 1751–1771.
DOI: https://doi.org/10.2166/nh.2019.094
Date Online: 27 September 2019
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View articletitled, Quantification of the forecast uncertainty using conditional probability and updating models View PDF for article titled, Quantification of the forecast uncertainty using conditional probability and updating models
Journal Articles

Evaluation of the BMA probabilistic inflow forecasts using TIGGE numeric precipitation predictions based on artificial neural network

Free
Yixuan Zhong, Shenglian Guo, Huanhuan Ba, Feng Xiong, Fi-John Chang ...
Hydrology Research (2018) 49 (5): 1417–1433.
DOI: https://doi.org/10.2166/nh.2018.177
Date Online: 21 February 2018
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View articletitled, Evaluation of the BMA probabilistic inflow forecasts using TIGGE numeric precipitation predictions based on artificial neural network View PDF for article titled, Evaluation of the BMA probabilistic inflow forecasts using TIGGE numeric precipitation predictions based on artificial neural network
Journal Articles

Improving ANN model performance in runoff forecasting by adding soil moisture input and using data preprocessing techniques

Free
Huanhuan Ba, Shenglian Guo, Yun Wang, Xingjun Hong, Yixuan Zhong ...
Hydrology Research (2018) 49 (3): 744–760.
DOI: https://doi.org/10.2166/nh.2017.048
Date Online: 22 August 2017
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View articletitled, Improving ANN model performance in runoff forecasting by adding soil moisture input and using data preprocessing techniques View PDF for article titled, Improving ANN model performance in runoff forecasting by adding soil moisture input and using data preprocessing techniques