Case Studies
Mar 27, 2020

Gridded Extreme Precipitation Intensity–Duration–Frequency Estimates for the Canadian Landmass

Publication: Journal of Hydrologic Engineering
Volume 25, Issue 6

Abstract

Subdaily precipitation gauging stations are limited and unevenly distributed across Canada. To support the design of sustainable stormwater infrastructure, especially in the data-sparse regions of Canada, this study presents a novel, gridded intensity–duration–frequency (IDF) dataset of precipitation storms of 5, 10, 15, 30, and 60 min and 1, 2, 6, 12, and 24 h durations and 2, 5, 10, 25, 50, and 100 year return periods. The dataset has been prepared using atmospheric variable (AVs) estimates from two reanalysis products: the North American Regional Reanalysis (NARR) and ERA-Interim. A state-of-the-art machine-learning algorithm, named a support vector machine (SVM), is used to establish the link between AVs and extreme precipitation magnitudes. First, the most relevant AVs shaping precipitation extremes in different parts of Canada are identified, and preliminary estimates of gridded IDFs are produced. The preliminary IDF estimates are corrected for systematic distribution of spatial errors to obtain corrected gridded IDF estimates. Modeled gridded IDF estimates are compared with observations and are found to exhibit a root mean squared error varying between 5% and 25% across different regions of Canada. The gridded IDFs are also found to capture the observed spatial pattern of extreme precipitation reasonably well.

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Data Availability Statement

The data from this study can be obtained from the Western University’s IDF-CC tool: http://www.idf-cc-uwo.ca/.

Acknowledgments

This research has been funded by the Collaborative Research Grant provided by the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Institute for Catastrophic Loss Reduction (ICLR). Comments from two anonymous reviewers and the editor helped improve the quality of the manuscript.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 25Issue 6June 2020

History

Received: Feb 8, 2019
Accepted: Dec 18, 2019
Published online: Mar 27, 2020
Published in print: Jun 1, 2020
Discussion open until: Aug 27, 2020

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Authors

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Abhishek Gaur [email protected]
Research Officer, Construction Research Centre, National Research Council Canada, 1200 Montreal Rd., Bldg. M-24, Ottawa, ON, Canada K1A 0R6 (corresponding author). Email: [email protected]; [email protected]
Postdoctoral Fellow, Facility for Intelligent Decision Support, Dept. of Civil and Environmental Engineering, Western Univ., London, ON, Canada N6A 3K7. ORCID: https://orcid.org/0000-0002-1862-2321
Slobodan P. Simonovic, F.ASCE
Professor, Facility for Intelligent Decision Support, Dept. of Civil and Environmental Engineering, Western Univ., London, ON, Canada N6A 3K7.

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