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Kian Abbasnezhadi, PhD, PEng
Kian Abbasnezhadi, PhD, PEng
Physical Scientist, Government of Canada (ECCC)
Verified email at ec.gc.ca
Title
Cited by
Cited by
Year
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 modelá…
J Samuel, AN Rousseau, K Abbasnezhadi, S Savary
Advances in Water Resources 130, 198-220, 2019
112019
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 hydriquesá…, 2020
62020
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
62019
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
52020
Influence of meteorological network density on hydrological modeling using input from the Canadian Precipitation Analysis (CaPA)
K Abbasnezhadi
52017
Verification of Regional Deterministic Precipitation Analysis products using snow data assimilation for application in meteorological network assessment in sparsely gaugedá…
K Abbasnezhadi, AN Rousseau, ╔ Foulon, S Savary
Journal of Hydrometeorology 22 (4), 859-876, 2021
42021
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
32023
Stochastic simulation of high-resolution daily precipitation using Gaussian Markov Random Fields
P Rasmussen, K Abbasnezhadi
EGU General Assembly Conference Abstracts, 4698, 2014
22014
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
12019
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
A review of world trade center twin towers structural failure
K Abbasnezhadi
Journal of Gozaresh 14 (45), 31-39, 2005
2005
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