World Environmental and Water Resources Congress 2020
Development of New Methods for Updating IDF Curves in Canada in the Context of Climate Change
Publication: World Environmental and Water Resources Congress 2020: Groundwater, Sustainability, Hydro-Climate/Climate Change, and Environmental Engineering
ABSTRACT
There exists an urgent need to assess the possible impacts of climate change on the intensity-duration-frequency (IDF) relations for improving the design of urban water infrastructure in the context of a changing climate. The main challenge is how to establish the linkages between the climate projections given by global or regional climate models at the global/regional scales and the observed extreme rainfalls at a given local site. Therefore, the overall objective of the present paper is to provide an overview of some recent progress in the development of statistical downscaling (SD) methods for linking global/regional climate predictors to the observed daily and sub-daily rainfall extremes at a single site as well as at many sites concurrently. In addition, new SD procedures are presented for describing the linkages between GCM outputs and rainfall characteristics at an ungauged location where rainfall data are limited or unavailable, a common and crucial challenge in engineering practice.
Get full access to this article
View all available purchase options and get full access to this chapter.
ACKNOWLEDGEMENTS
The authors would like to acknowledge the funding provided by the Natural Science and Engineering Research Council (NSERC) Canadian FloodNet (Grant number: NETGP 451456) for this project.
REFERENCES
CSA (Canadian Standards Association) (2012). Technical guide: Development, interpretation and use of rainfall intensity-duration-frequency (IDF) information: Guideline for Canadian water resources practitioners. Canadian Standard Association. 214 pages.
Environment Canada. (2014). “Rainfall Intensity-Duration-Frequency (IDF) Tables and Graphs.” Version 2.3. Released date: December 2014.
Jöreskog, K., & Moustaki, I. (2001). Factor analysis of ordinal variables: A comparison of three approaches. Multivariate Behavioral Research, 36(3), 347–387.
Khalili, M., and Nguyen, V-T-V. (2018). A Perfect Prognosis Approach for Daily Precipitation Series in Consideration of Space–time Correlation Structure, Stochastic Environmental Research and Risk Assessment, 32:3333-3364.
Moran, P.A.P. (1950). Notes on Continuous Stochastic Phenomena, Biometrika, 37:17-23.
Nguyen, V-T-V., and Nguyen, T-D. (2008). Statistical Downscaling of Daily Precipitation Process for Climate-Related Impact Studies, Chapter 16 in “Hydrology and Hydraulics”, V.P. Singh (Ed.), Water Resources Publications, pp. 587-604.
Nguyen, T.-H., and Nguyen, V.-T.-V. (2018). “A novel scale-invariance generalized extreme value model based on probability weighted moments (GEV/PWM) for estimating extreme design rainfalls in the context of climate change”. World Environmental and Water Resources Congress 2018, Minneapolis, Minnesota, 2018.
Nguyen, V-T-V., & Yeo, M.-H. (2011). Statistical Downscaling of Daily Rainfall Processes for Climate-Related Impact Assessment Studies. World Environmental and Water Resources Congress 2011, Palm Spring, USA, American Society of Civil Engineers, pp. 4477–4482.
Thrasher, B., Maurer, E. P., McKellar, C., and Duffy, P. B. (2012). "Technical Note: Bias correcting climate model simulated daily temperature extremes with quantile mapping." Hydrol. Earth Syst. Sci., 16(9), 3309-3314.
Wilks, D. S. (2006). Statistical Methods in the Atmospheric Sciences (2nd Editio., p. 627). Burlington, MA ; London : Academic Press, 2006
Willems, P., Olsson, J., Arnbjerg-Nielsen, K., Beecham, S., Pathirana, A., Gregersen, I. B., Madsen, H., and Nguyen, V.-T.-V. (2012). Impacts of climate change on rainfall extremes and urban drainage systems, IWA Publishing, London, UK.
WMO (2009). Guide to hydrological practices, volume II: Management of water resources and application of hydrological practices, 6th edition, Geneva, Switzerland.
Yeo, M-H and Nguyen, V-T-V. (2014). A Statistical Approach to Downscaling of Daily Rainfall Process at an Ungaged Site, Chapter 20 in “Advances in Hydroinformatics”, Gourbesville, P. et al. (Eds), Springer Water Publisher. https://doi.org/10.1007/978-981-287-615-7_20, pp. 285-298.
Zhang, X., Zwiers, F. W., Li, G., Wan, H., and Cannon, A. J. (2017). "Complexity in estimating past and future extreme short-duration rainfall." Nature Geoscience, 10: 255-259.
Information & Authors
Information
Published In
World Environmental and Water Resources Congress 2020: Groundwater, Sustainability, Hydro-Climate/Climate Change, and Environmental Engineering
Pages: 186 - 200
Editors: Sajjad Ahmad, Ph.D., and Regan Murray, Ph.D.
ISBN (Online): 978-0-7844-8296-4
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: May 14, 2020
Published in print: May 14, 2020
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.