Comparing a long short-term memory (LSTM) neural network with a physically-based hydrological model for streamflow forecasting over a Canadian catchment B Sabzipour, R Arsenault, M Troin, JL Martel, F Brissette, F Brunet, J Mai Journal of Hydrology 627, 130380, 2023 | 14 | 2023 |
Evaluation of the potential of using subsets of historical climatological data for ensemble streamflow prediction (ESP) forecasting B Sabzipour, R Arsenault, F Brissette Journal of Hydrology 595, 125656, 2021 | 12 | 2021 |
Evaluation and optimal redesigning of river water-quality monitoring networks (RWQMN) using geostatistics approach (case study: Karun, Iran) B Sabzipour, O Asghari, A Sarang Sustainable Water Resources Management 5, 439-455, 2019 | 10 | 2019 |
Sensitivity analysis of the hyperparameters of an ensemble Kalman filter application on a semi-distributed hydrological model for streamflow forecasting B Sabzipour, R Arsenault, M Troin, JL Martel, F Brissette Journal of Hydrology 626, 130251, 2023 | 6 | 2023 |
Improving hydrological forecasting at multiple lead-times for hydropower reservoir management B Sabzipour École de technologie supérieure, 2023 | | 2023 |
Applying a Multivariate First-Order Markov Chain for selecting Ensemble Streamflow Prediction's Members in seasonal forecasting B Sabzipour, R Arsenault Geophysical Research Abstracts 21, 2019 | | 2019 |
A Hybrid Multi-Model Approach for Hydrological Ensemble Forecasting: The Added Value of Deep Learning Models W Armstrong, R Arsenault, JL Martel, M Troin, P Dion, B Sabzipour, ... Available at SSRN 4737841, 0 | | |