• synoptic downscaling, synoptic classification, and climate regionalization;
• flexible statistical models for meteorological prediction and multivariate analysis;
• spatial interpolation and disaggregation of meteorological fields;
• assessing impacts of climate variability and change on water resources.

Publications

Please see my CV for a complete list of publications. Refereed articles are listed below.

• Cannon, A.J., 2008. Probabilistic multi-site precipitation downscaling by an expanded Bernoulli-gamma density network. Journal of Hydrometeorology, 9(6):1284-1300, doi:10.1175%2F2008JHM960.1 

• Hsieh, W.W. and A.J. Cannon, 2008. Towards robust nonlinear multivariate analysis by neural network methods. Lecture Notes in Earth Sciences, 12:97-124. doi:10.1007/978-3-540-78938-3_6

• Cannon, A.J., 2008. Negative ridge regression parameters for improving the covariance structure of multivariate linear downscaling models. International Journal of Climatology, in press, doi:10.1002/joc.1737.

• Cannon, A.J. and W.W. Hsieh, 2008. Robust nonlinear canonical correlation analysis: Application to seasonal climate forecasting. Nonlinear Processes in Geophysics, 15: 221-232. [Robust NLCCA has been incorporated into version 5.0 of the NeuMATSA MATLAB Toolbox.]

• Stahl, K., R.D. Moore, J.M. Shea, D. Hutchinson, and A.J. Cannon, 2008. Coupled modelling of glacier and streamflow response to future climate scenarios. Water Resources Research, 44: W02422, doi:10.1029/2007WR005956

• Cannon, A.J., 2007. Nonlinear analog predictor analysis: a coupled neural network/analog model for climate downscaling. Neural Networks, 20(4): 444-453.

• Song, L., A.J. Cannon, and P.H. Whitfield, 2007. Changes in seasonal patterns of temperature and precipitation in China during 1971-2000. Advances in Atmospheric Science, 24(3): 459-473.

• Scibek, J., D.M. Allen, A.J. Cannon, and P.H. Whitfield, 2007. Groundwater–surface water interaction under scenarios of climate change using a high-resolution transient groundwater model. Journal of Hydrology, 333: 165-181.

• Cannon, A.J., 2006. Nonlinear principal predictor analysis: application to the Lorenz system. Journal of Climate, 19(4): 579-589. [View a movie comparing the application of nonlinear and linear variants of principal predictor analysis to climate variability in the tropical Pacific Ocean. The spatial asymmetry between El Niño and La Niña sea surface temperature anomalies is represented more realistically by the nonlinear model.]

• Hall, A.W., P.H. Whitfield, and A.J. Cannon, 2006. Recent variations in temperature, precipitation, and streamflow in the Rio Grande and Pecos River Basins of New Mexico and Colorado. Reviews in Fisheries Science, 14(1-2): 51-78.

• Wang, J.Y., P.H. Whitfield, and A.J. Cannon, 2006. Influence of Pacific climate patterns on low-flows in British Columbia and Yukon, Canada. Canadian Water Resources Journal, 31(1): 25-40.

• Cannon, A.J., 2005. Defining climatological seasons using radially constrained clustering. Geophysical Research Letters, 32: L14706, doi:10.1029/2005GL023410

• Whitfield, P.H., A.W. Hall, and A.J. Cannon, 2004. Changes in the seasonal cycle in the circumpolar Arctic, 1976-1995: Temperature and precipitation. Arctic, 57(1): 80-93.

• Whitfield, P.H., J.Y. Wang, and A.J. Cannon, 2003. Modelling future streamflow extremes - Floods and low flows in Georgia Basin, British Columbia. Canadian Water Resources Journal, 28(4):633-656.

• Whitfield, P.H., A.J. Cannon, J.Y. Wang, and C.J. Reynolds, 2003. Modelling streamflows in present and future climates - Examples from rainfall/snowmelt streams in coastal British Columbia. Hydrological Science & Technology, 19(1-4): 41-56.

• Cannon, A.J. and I.G. McKendry, 2002. A graphical sensitivity analysis for interpreting statistical climate models: Application to Indian monsoon rainfall prediction by artificial neural networks and multiple linear regression models. International Journal of Climatology, 22:1687-1708.

• Cannon, A.J., P.H. Whitfield, and E.R. Lord, 2002. Synoptic map-pattern classification using recursive partitioning and principal component analysis. Monthly Weather Review, 130(5): 1187-1206.

• Cannon, A.J. and P.H. Whitfield, 2002. Downscaling recent streamflow conditions in British Columbia, Canada using ensemble neural network models. Journal of Hydrology, 259: 136-151.

• Whitfield, P.H., K. Bodtker, and A.J. Cannon, 2002. Recent variations in seasonality of temperature and precipitation in Canada - 1976-1995. International Journal of Climatology, 22: 1617-1644.

• Whitfield, P.H., C.J. Reynolds, and A.J. Cannon, 2002. Modelling streamflow in present and future climates - Examples from the Georgia Basin, British Columbia. Canadian Water Resources Journal, 27(4): 427-456.

• Cannon, A.J. and P.H. Whitfield, 2001. Modeling transient pH depressions in coastal streams of British Columbia using neural networks. Journal of the American Water Resources Association, 37(1): 73-89.

• Cannon, A.J. and E.R. Lord, 2000. Forecasting summertime surface level ozone concentrations in the lower Fraser Valley of British Columbia: An ensemble neural network approach. Journal of the Air & Waste Management Association, 50: 322-339.

• Whitfield, P.H. and A.J. Cannon, 2000. Recent variations in climate and hydrology in Canada. Canadian Water Resources Journal, 25(1): 19-65.

• Whitfield, P.H. and A.J. Cannon, 2000. Polar plotting of seasonal hydrologic and climatic data. Northwest Science, 74(1):76-80.

• Cannon, A.J. and I.G. McKendry, 1999. Forecasting all-India summer monsoon rainfall using regional circulation principal components: A comparison between neural network and multiple regression models. International Journal of Climatology, 19(14): 1561-1578.