Alex Cannon

Biography

My primary position is as a Research Scientist (link is external) with the Climate Research Division of Environment and Climate Change Canada. I am a part of the Climate Data and Analysis Section (CDAS) and am located in Victoria, BC at the Canadian Centre for Climate Modelling and Analysis (CCCma). I continue to be affiliated with Prof. William Hsieh's Climate Prediction Group (link is external) at UBC. My research collaborations with UBC deal mainly with the development and application of machine learning and statistical models to climate and weather analysis and prediction tasks, including: estimation of hydroclimatological extremes; climate downscaling algorithms; climate model post-processing and bias correction; synoptic map-pattern classification and weather typing; assessing predictive uncertainty; and climate impacts on environmental systems My primary position is as a Research Scientist (link is external) with the Climate Research Division of Environment and Climate Change Canada. I am a part of the Climate Data and Analysis Section (CDAS) and am located in Victoria, BC at the Canadian Centre for Climate Modelling and Analysis (CCCma). I continue to be affiliated with Prof. William Hsieh's Climate Prediction Group (link is external) at UBC. My research collaborations with UBC deal mainly with the development and application of machine learning and statistical models to climate and weather analysis and prediction tasks, including: estimation of hydroclimatological extremes; climate downscaling algorithms; climate model post-processing and bias correction; synoptic map-pattern classification and weather typing; assessing predictive uncertainty; and climate impacts on environmental systems

Research Interest

Submitted: 85. Cannon, A.J., 2017. Non-crossing nonlinear regression quantiles by monotone composite quantile regression neural network, with application to rainfall extremes (link is external). Stochastic Environmental Research and Risk Assessment. doi:10.17605/OSF.IO/WG7SN 84. Werner, A.T., R.R. Shrestha, A.J. Cannon, M.S. Schnorbus, F.W. Zwiers, G. Dayon, and F. Anslow, A long-term, temporally consistent, gridded daily meteorological dataset for northwest North America. Scientific Data. 83. Wang, H-., J. Chen, A.J. Cannon, Xu, C-., and H. Chen, Transferability of climate simulation uncertainty to hydrological climate change impacts. Hydrology and Earth System Sciences Discussions. 82. Qian, B., X. Zhang, W. Smith, B. Grant, Q. Jing, A.J. Cannon, D. Neilsen, B. McConkey, G. Li, B. Bonsal, H. Wan, and L. Xue. Climate impacts on Canadian yields of spring wheat, canola and maize for global warming levels of 1.5, 2.0 and 2.5°C. Environmental Research Letters. 81. Mahony, C.R. and A.J. Cannon. Wetter summers can intensify departures from natural variability in a warming climate. Nature Communications. 80. Ouali, D. and A.J. Cannon. Estimation of rainfall Intensity-Duration-Frequency curves at ungauged locations using quantile regression methods. Stochastic Environmental Research and Risk Assessment. 79. Hiebert, J., A.J. Cannon, T. Murdock, S. Sobie, and A. Werner, ClimDown: Climate Downscaling in R (link is external). The Journal of Open Source Software. 78. Snauffer, A., W.W. Hsieh, A.J. Cannon, and M.A. Schnorbus. Improving gridded snow water equivalent products in British Columbia, Canada: multi-source data fusion by neural network models (link is external). The Cryosphere Discussions. doi:10.5194/tc-2017-56 77. Li, G., X. Zhang, A.J. Cannon, T.Q. Murdock, S. Sobie, F.W. Zwiers, K. Anderson, and B. Qian, Indices of Canada's future climate for general and agricultural adaptation applications. Climatic Change. In press / 2017: 76. Shrestha, R.R., A.J. Cannon, M.A. Schnorbus, and F.W. Zwiers, 2017. Projecting future nonstationary extreme streamflow for the Fraser River, Canada (link is external). Climatic Change, 145(3-4):289-303. doi:10.1007/s10584-017-2098-6 75. Kirchmeier-Young, M.C., F.W. Zwiers, N.P. Gillett, and A.J. Cannon, 2017. Attributing extreme fire risk in western Canada to human emissions (link is external). Climatic Change, 144(2):365-379. doi:10.1007/s10584-017-2030-0 74. Lima, A.R., W.W. Hsieh, and A.J. Cannon, 2017. Variable complexity online sequential extreme learning machine, with application to streamflow prediction (link is external). Journal of Hydrology, 555:983-994. doi:10.1016/j.jhydrol.2017.10.037 73. Cannon, A.J., 2017. Multivariate quantile mapping bias correction: An N-dimensional probability density function transform for climate model simulations of multiple variables (link is external). Climate Dynamics. doi:10.1007/s00382-017-3580-6 72. Zhang, X., F.W. Zwiers, G. Li, H. Wan, and A.J. Cannon, 2017. Complexity in estimating past and future extreme short-duration rainfall. (link is external) Nature Geoscience, 10:255-259. doi:10.1038/NGEO2911 71. Mahony, C., A.J. Cannon, T. Wang, and S. Aitken, 2017. A closer look at novel climates: new method and insights at continental to landscape scales (link is external). Global Change Biology, 23:3934-3955. doi:10.1111/gcb.13645 70. Eum, H.I., A.J. Cannon, and T.Q. Murdock, 2017. Intercomparison of multiple statistical downscaling methods: Application of multi-criteria decision making to a model selection procedure (link is external). Stochastic Environmental Research and Risk Assessment, 31(3):683–703. doi:10.1007/s00477-016-1312-9 69. Eum, H.I. and A.J. Cannon, 2017. Intercomparison of projected changes in climate extremes for South Korea: application of trend preserving statistical downscaling methods to the CMIP5 ensemble (link is external). (link is external) International Journal of Climatology, 37(8):3381-3397. doi:10.1002/joc.4924 68. Peng, H., A.R. Lima, A. Teakles, J. Jin, A.J. Cannon, and W.W. Hsieh, 2017. Forecasting hourly air quality concentration in Canada using updatable machine learning methods (link is external). Air Quality, Atmosphere and Health, 10(2):195-211. doi:10.1007/s11869-016-0414-3 67. Neilsen, D., S. Smith, G. Bourgeois, B. Qian, A.J. Cannon, G. Neilsen, and I. Losso, 2017. Modelling changing suitability for tree fruits in complex terrain (link is external). Acta Horticulturae (ISHS). doi:10.17660/ActaHortic.2017.1160.30