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Application of Wavelength Analysis to Assess Future Hydrologic Extremes

PI: Paulin Coulibaly
Institution: McMaster University
Additional Investigators: Kenneth Kunkel
Abstract:
This analysis seeks to assess the spatial and temporal variability of daily, seasonal, and annual total precipitation (rain and snow) and extreme temperature using scale-averaged wavelet analysis. The main focus is to compare the GCM simulations and selected station observations across Canada and the United States for the period 1900-2000. A second part of the study aims to investigate the hydrologic impact of climate change in selected watersheds across Canada and the United States. GCM daily simulations will be downscaled and used for hydrologic modeling. The ultimate objective is to assess the frequency and variability of hydrologic extremes (floods and droughts) in the future. Both daily and monthly GCM datasets are needed for this project. We will likely choose 5 or 6 representative GCMs and use the 20C3M and 21st Century scenario simulations.
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