| Development and evaluation of a hydrologic data-assimilation scheme for short-range flow and inflow forecasts in a data-sparse high-latitude region using a distributed model … J Samuel, AN Rousseau, K Abbasnezhadi, S Savary Advances in water resources 130, 198-220, 2019 | 12 | 2019 |
| Applying transfer learning techniques to enhance the accuracy of streamflow prediction produced by long Short-term memory networks with data integration Y Khoshkalam, AN Rousseau, F Rahmani, C Shen, K Abbasnezhadi Journal of Hydrology 622, 129682, 2023 | 9 | 2023 |
| What is the trade-off between snowpack stratification and simulated snow water equivalent in a physically-based snow model? J Augas, K Abbasnezhadi, AN Rousseau, M Baraer Water 12 (12), 3449, 2020 | 6 | 2020 |
| Mid-21st century anthropogenic changes in extreme precipitation and snowpack projections over Newfoundland K Abbasnezhadi, AN Rousseau, S Bohrn Canadian Water Resources Journal/Revue canadienne des ressources hydriques …, 2020 | 6 | 2020 |
| Hydrological assessment of meteorological network density through data assimilation simulation K Abbasnezhadi, AN Rousseau, KA Koenig, Z Zahmatkesh, AM Wruth Journal of hydrology 569, 844-858, 2019 | 6 | 2019 |
| Influence of meteorological network density on hydrological modeling using input from the Canadian Precipitation Analysis (CaPA) K Abbasnezhadi | 6 | 2017 |
| Verification of Regional Deterministic Precipitation Analysis products using snow data assimilation for application in meteorological network assessment in sparsely gauged … K Abbasnezhadi, AN Rousseau, É Foulon, S Savary Journal of Hydrometeorology 22 (4), 859-876, 2021 | 5 | 2021 |
| Stochastic simulation of high-resolution daily precipitation using Gaussian Markov Random Fields P Rasmussen, K Abbasnezhadi EGU General Assembly Conference Abstracts, 4698, 2014 | 3 | 2014 |
| Synchronized generation of high-resolution gridded precipitation and temperature fields K Abbasnezhadi, AN Rousseau, AM Wruth, Z Zahmatkesh Journal of Hydrology 573 (C), 631-647, 2019 | 1 | 2019 |
| Improving Streamflow Predictions in Ungauged Basins Using LSTM-based Physics-Informed Transfer Learning Models Y Khoshkalam, AN Rousseau, F Rahmani, C Shen, K Abbasnezhadi AGU23, 2023 | | 2023 |
| Assessment of Transfer Learning Techniques to Improve Streamflow Predictions in Data-Sparse Regions Y Khoshkalam, F Rahmani, AN Rousseau, K Abbasnezhadi, C Shen, ... EGU General Assembly Conference Abstracts, EGU22-3281, 2022 | | 2022 |
| Improving Daily Streamflow Forecasting Systems in Data-scarce Regions with A Long Short-term Memory Model Y Khoshkalam, A Rousseau, C Shen, F Rahmani, K Abbasnezhadi AGU Fall Meeting Abstracts 2021, H23A-01, 2021 | | 2021 |
| Comparison of gridding methods for monthly precipitation for trend analysis in Canada K Abbasnezhadi, X Wang EGU General Assembly Conference Abstracts, EGU21-6501, 2021 | | 2021 |
| High resolution data for semi-distributed hydrological modeling: where should we draw the line? E Foulon, AN Rousseau, EJ Scarpari Spolidorio, K Abbasnezhadi EGU General Assembly Conference Abstracts, 12045, 2020 | | 2020 |
| Can assimilating snow monitoring information offset the adverse effects of precipitation data scarcity in hydrological modelling applications? K Abbasnezhadi, AN Rousseau EGU General Assembly Conference Abstracts, 11428, 2020 | | 2020 |
| How do climate extremes driving Probable Maximum Flood over Newfoundland alter in the wake of global warming? K Abbasnezhadi, A Rousseau, S Bohrn, G Gobeil IUGG General Assembly, 2019 | | 2019 |
| An Observing System Simulation Experiment approach to meteorological network assessment K Abbasnezhadi, PF Rasmussen, T Stadnyk, A Boluwade 2016 AGU Fall Meeting, 2016 | | 2016 |
| Improving the Canadian Precipitation Analysis estimates through an Observing System Simulation Experiment K Abbasnezhadi, PF Rasmussen, T Stadnyk AGUFM 2014, H53G-0944, 2014 | | 2014 |
Alain N. RousseauINRS-ETEVerified email at ete.inrs.ca
