| 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 | 1377 | 2015 |
| Multivariate quantile mapping bias correction: an N-dimensional probability density function transform for climate model simulations of multiple variables AJ Cannon Climate Dynamics 50 (1-2), 31-49, 2018 | 559 | 2018 |
| Quantile regression neural networks: Implementation in R and application to precipitation downscaling AJ Cannon Computers & Geosciences, 2011 | 439 | 2011 |
| Crop yield forecasting on the Canadian Prairies by remotely sensed vegetation indices and machine learning methods MD Johnson, WW Hsieh, AJ Cannon, A Davidson, F Bédard Agricultural and Forest Meteorology 218, 74-84, 2016 | 335 | 2016 |
| 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 | 324 | 2007 |
| 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 | 316 | 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 | 309 | 2012 |
| Attribution of the influence of human‐induced climate change on an extreme fire season MC Kirchmeier‐Young, NP Gillett, FW Zwiers, AJ Cannon, FS Anslow Earth's Future, 2019 | 277 | 2019 |
| Recent variations in climate and hydrology in Canada PH Whitfield, AJ Cannon Canadian Water Resources Journal 25 (1), 19-65, 2000 | 266 | 2000 |
| 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 | 260 | 2002 |
| Complexity in estimating past and future extreme short-duration rainfall X Zhang, FW Zwiers, G Li, H Wan, AJ Cannon Nature Geoscience 10 (4), 255-259, 2017 | 257* | 2017 |
| 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 | 223 | 2012 |
| Multivariate bias correction of climate model output: Matching marginal distributions and intervariable dependence structure AJ Cannon Journal of Climate 29 (19), 7045-7064, 2016 | 216 | 2016 |
| Hydrologic extremes–an intercomparison of multiple gridded statistical downscaling methods AT Werner, AJ Cannon Hydrology and Earth System Sciences 20 (4), 1483-1508, 2016 | 188 | 2016 |
| 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 | 181 | 2015 |
| Non-crossing nonlinear regression quantiles by monotone composite quantile regression neural network, with application to rainfall extremes AJ Cannon Stochastic Environmental Research and Risk Assessment, 1-19, 2018 | 165 | 2018 |
| A flexible nonlinear modelling framework for nonstationary generalized extreme value analysis in hydroclimatology AJ Cannon Hydrological Processes 24 (6), 673-685, 2010 | 165 | 2010 |
| 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 | 150 | 2012 |
| Probabilistic multisite precipitation downscaling by an expanded Bernoulli-gamma density network AJ Cannon Journal of Hydrometeorology 9 (6), 1284-1300, 2008 | 144 | 2008 |
| Attributing extreme fire risk in Western Canada to human emissions MC Kirchmeier-Young, FW Zwiers, NP Gillett, AJ Cannon Climatic Change 144 (2), 365-379, 2017 | 143 | 2017 |
William W. HsiehDepartment of Earth, Ocean and Atmospheric Sciences, University of British Columbia確認したメール アドレス: eos.ubc.ca