Articles | Volume 21, issue 4
https://doi.org/10.5194/hess-21-2163-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-2163-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Inter-comparison of daily precipitation products for large-scale hydro-climatic applications over Canada
Jefferson S. Wong
CORRESPONDING AUTHOR
Global Institute for Water Security and School of Environment and Sustainability, University
of Saskatchewan, 11 Innovation Blvd, Saskatoon, SK, S7N 3H5, Canada
Saman Razavi
Global Institute for Water Security and School of Environment and Sustainability, University
of Saskatchewan, 11 Innovation Blvd, Saskatoon, SK, S7N 3H5, Canada
Barrie R. Bonsal
Environment and Climate Change Canada, 11 Innovation Blvd, Saskatoon, SK, S7N 3H5, Canada
Howard S. Wheater
Global Institute for Water Security and School of Environment and Sustainability, University
of Saskatchewan, 11 Innovation Blvd, Saskatoon, SK, S7N 3H5, Canada
Zilefac E. Asong
Global Institute for Water Security and School of Environment and Sustainability, University
of Saskatchewan, 11 Innovation Blvd, Saskatoon, SK, S7N 3H5, Canada
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Discussed (final revised paper)
Latest update: 14 Dec 2024
Short summary
This study was conducted to quantify the spatial and temporal variability of the errors associated with various gridded precipitation products in Canada. Overall, WFDEI [GPCC] and CaPA performed best with respect to different performance measures, followed by ANUSPLIN and WEDEI [CRU]. Princeton and NARR demonstrated the lowest quality. Comparing the climate model-simulated products, PCIC ensembles generally performed better than NA-CORDEX ensembles in terms of reliability in four seasons.
This study was conducted to quantify the spatial and temporal variability of the errors...