Follow
David Casson
David Casson
Verified email at ucalgary.ca
Title
Cited by
Cited by
Year
Global re-analysis datasets to improve hydrological assessment and snow water equivalent estimation in a sub-Arctic watershed
DR Casson, M Werner, A Weerts, D Solomatine
Hydrology and Earth System Sciences 22 (9), 4685-4697, 2018
192018
Application of global datasets for hydrological modelling of a remote, snowmelt driven catchment in the Canadian Sub-Arctic
D Casson, M Werner, A Weerts, J Schellekens, D Solomatine
EGU General Assembly Conference Abstracts, 12230, 2017
12017
Probabilistic Estimates of Fractional Snow Cover Area in Mountainous Terrain
DR Casson, AW Wood, G Tang, K Rittger, M Clark
EGU24, 2024
2024
FROSTBYTE: A reproducible data-driven workflow for probabilistic seasonal streamflow forecasting in snow-fed river basins across North America
L Arnal, MP Clark, A Pietroniro, V Vionnet, DR Casson, PH Whitfield, ...
EGUsphere 2024, 1-40, 2024
2024
Improving the numerical simulation of hydrologic processes across large geographical domains
MP Clark, AW Wood, A Van Beusekom, H Liu, K Klenk, SJ Trim, ...
AGU23, 2023
2023
Towards a coherent flood forecasting framework for Canada: Local to global implications
L Arnal, AC Pietroniro, JW Pomeroy, V Fortin, DR Casson, TA Stadnyk, ...
Journal of Flood Risk Management, e12895, 2023
2023
A New Spin on Global Sensitivity Analysis: Sensitivity Analysis of the SUMMA Model on the Global Scale
H Liu, MP Clark, G Tang, W Knoben, S Gharari, JE Freer, L Arnal, ...
AGU Fall Meeting Abstracts 2022, H52B-03, 2022
2022
Building Community Workflows to Accelerate Progress in Hydrological Modelling
B van Osnabrugge, W Knoben, D Casson, H Liu, G Tang, S Gharari, ...
Frontiers in Hydrology 2022, 150-06, 2022
2022
Ensemble Data Assimilation Methods for Improved Snow Estimation and Streamflow Prediction in Mountainous Terrain
D Casson, W Knoben, L Arnal, S Gharari, B van Osnabrugge, G Tang, ...
IAHS2022, 2022
2022
Characterizing global hydrological modeling uncertainties using the Ensemble Meteorological Dataset for Planet Earth (EM-Earth)
G Tang, M Clark, SM Papalexiou, W Knoben, H Liu, S Gharari, L Arnal, ...
AGU Fall Meeting Abstracts 2021, H55J-0850, 2021
2021
Advancing the science and practice of community hydrologic modeling: Development of open-source models, methods, and datasets to enable process-based hydrologic prediction …
M Clark, L Arnal, A Bennett, D Casson, S Gharari, J Hay, J Freer, ...
AGU Fall Meeting Abstracts 2021, H44D-01, 2021
2021
A new spin on global sensitivity analysis: worldwide sensitivity analysis of the SUMMA model
H Liu, M Clark, J Freer, G Tang, W Knoben, L Arnal, D Casson, S Gharari
AGU Fall Meeting Abstracts 2021, H55J-0846, 2021
2021
A snow modeling and water prediction testbed for benchmarking the water resources impacts of Earth Observations in North America
A Wood, D Llewellyn, L Bearup, D Broman, E Gutmann, N Mizukami, ...
AGU Fall Meeting Abstracts 2021, SY22A-06, 2021
2021
Application of global datasets and data assimilation to a distributed hydrological model in the Canadian Sub-Arctic
DR Casson
UNESCO-IHE, 2017
2017
The system can't perform the operation now. Try again later.
Articles 1–14