Alex J. Cannon
Alex J. Cannon
Research Scientist, Environment and Climate Change Canada
Verified email at - Homepage
TitleCited byYear
Coupled modelling of glacier and streamflow response to future climate scenarios
K Stahl, RD Moore, JM Shea, D Hutchinson, AJ Cannon
Water Resources Research 44 (2), W02422, 2008
Groundwater-surface water interaction under scenarios of climate change using a high-resolution transient groundwater model
J Scibek, DM Allen, AJ Cannon, PH Whitfield
Journal of Hydrology 333 (2-4), 165-181, 2007
Downscaling recent streamflow conditions in British Columbia, Canada using ensemble neural network models
AJ Cannon, PH Whitfield
Journal of Hydrology 259 (1-4), 136-151, 2002
Recent variations in climate and hydrology in Canada
PH Whitfield, AJ Cannon
Canadian Water Resources Journal 25 (1), 19-65, 2000
Bias correction of GCM precipitation by quantile mapping: How well do methods preserve changes in quantiles and extremes?
AJ Cannon, SR Sobie, TQ Murdock
Journal of Climate 28 (17), 6938-6959, 2015
Quantile regression neural networks: Implementation in R and application to precipitation downscaling
AJ Cannon
Computers & Geosciences, 2011
Downscaling Extremes: An Intercomparison of Multiple Statistical Methods for Present Climate
G Bürger, TQ Murdock, AT Werner, SR Sobie, AJ Cannon
Journal of Climate 25 (12), 4366-4388, 2012
Probabilistic multisite precipitation downscaling by an expanded Bernoulli-gamma density network
AJ Cannon
Journal of Hydrometeorology 9 (6), 1284-1300, 2008
Daily streamflow forecasting by machine learning methods with weather and climate inputs
K Rasouli, WW Hsieh, AJ Cannon
Journal of Hydrology 414, 284-293, 2012
A flexible nonlinear modelling framework for nonstationary generalized extreme value analysis in hydroclimatology
AJ Cannon
Hydrological Processes 24 (6), 673-685, 2010
Variability in simulated recharge using different GCMs
DM Allen, AJ Cannon, MW Toews, J Scibek
Water Resources Research 46 (10), W00F03, 2010
Modelling streamflow in present and future climates: Examples from the Georgia Basin, British Columbia
PH Whitfield, AJ Cannon, CJ Reynolds
Canadian Water Resources Journal 27 (4), 427-456, 2002
Synoptic map-pattern classification using recursive partitioning and principal component analysis
AJ Cannon, PH Whitfield, ER Lord
Monthly Weather Review 130 (5), 1187-1206, 2002
Downscaling extremes: an intercomparison of multiple methods for future climate
G Bürger, SR Sobie, AJ Cannon, AT Werner, TQ Murdock
Journal of Climate 26 (2012), 3429–3449, 2012
Complexity in estimating past and future extreme short-duration rainfall
X Zhang, FW Zwiers, G Li, H Wan, AJ Cannon
Nature Geoscience 10 (4), 255, 2017
Forecasting summertime surface-level ozone concentrations in the Lower Fraser Valley of British Columbia: An ensemble neural network approach
AJ Cannon, ER Lord
Journal of the Air & Waste Management Association 50 (3), 322-339, 2000
A graphical sensitivity analysis for statistical climate models: application to Indian monsoon rainfall prediction by artificial neural networks and multiple linear regression …
AJ Cannon, IG McKendry
International Journal of Climatology 22 (13), 1687-1708, 2002
Recent variations in seasonality of temperature and precipitation in Canada, 1976–95
PH Whitfield, K Bodtker, AJ Cannon
International Journal of Climatology 22 (13), 1617-1644, 2002
Selecting GCM Scenarios that Span the Range of Changes in a Multimodel Ensemble: Application to CMIP5 Climate Extremes Indices
AJ Cannon
Journal of Climate 28 (3), 1260-1267, 2015
Modelling future streamflow extremes—floods and low flows in Georgia basin, British Columbia
PH Whitfield, JY Wang, AJ Cannon
Canadian Water Resources Journal/Revue canadienne des ressources hydriques …, 2003
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