Articles | Volume 23, issue 12
Research article
19 Dec 2019
Research article |  | 19 Dec 2019

Hybrid climate datasets from a climate data evaluation system and their impacts on hydrologic simulations for the Athabasca River basin in Canada

Hyung-Il Eum and Anil Gupta

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
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Cited articles

Asong, Z. E., Khaliq, M. N., and Wheater, H. S.: Regionalization of precipitation characteristics in the Canadian Prairie Provinces using large-scale atmospheric covariates and geophysical attributes, Stoch. Env. Res. Risk A., 29, 875–892, 2015. 
Betrie, G. D., Deng, B., and Wang, J.: Integrated modeling of the Athabasca River Basin using SWAT, Proceedings of Science and Technology Innovations, Faculty of Science and Technology, Athabasca University, Alberta, Canada, 27–38, ISBN 978-1-987973-00-6, 2015. 
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Christensen, N. S. and Lettenmaier, D. P.: A multimodel ensemble approach to assessment of climate change impacts on the hydrology and water resources of the Colorado River Basin, Hydrol. Earth Syst. Sci., 11, 1417–1434,, 2007. 
Côté, J., Desmarais, J.-G., Gravel, S., Méthot, A., Patoine, A., Roch, M., and Staniforth, A.: The operational CMC–MRB global environmental multiscale (GEM) model. Part II: Results, Mon. Weather Rev., 126, 1397–1418, 1998a. 
Short summary
As numerous high-resolution historical gridded climate datasets are available in Alberta, many previous works have simply combined multiple climate datasets without pre-assessment, which may cause unreliable outputs. This study suggested a systematic climate data evaluation system and generated a new performance-based climate dataset. This study proved that the new dataset is a better representation of historical climate conditions, enhancing hydrologic simulations.