List of works - Alex J. Cannon

Bias Correction of GCM Precipitation by Quantile Mapping: How Well Do Methods Preserve Changes in Quantiles and Extremes?

article

Groundwater–surface water interaction under scenarios of climate change using a high-resolution transient groundwater model

article

Recent Variations in Climate and Hydrology in Canada

article

A closer look at novel climates: new methods and insights at continental to landscape scales.

scientific article

Downscaling recent streamflow conditions in British Columbia, Canada using ensemble neural network models

article

Complexity in estimating past and future extreme short-duration rainfall

article

A flexible nonlinear modelling framework for nonstationary generalized extreme value analysis in hydroclimatology

article

Probabilistic Multisite Precipitation Downscaling by an Expanded Bernoulli–Gamma Density Network

Multivariate quantile mapping bias correction: an 𝑁-dimensional probability density function transform for climate model simulations of multiple variables

article

Validation of historical and future statistically downscaled pseudo-observed surface wind speeds in terms of annual climate indices and daily variability

article by Carlos F. Gaitan & Alex J. Cannon published March 2013 in Renewable Energy

Hydrologic extremes – an intercomparison of multiple gridded statistical downscaling methods

Modelling Streamflow in Present and Future Climates: Examples from the Georgia Basin, British Columbia

Quantile regression neural networks: Implementation in R and application to precipitation downscaling

Influence of Pacific Climate Patterns on Low-Flows in British Columbia and Yukon, Canada

article

Comparison of statistically downscaled precipitation in terms of future climate indices and daily variability for southern Ontario and Quebec, Canada

article

Selecting GCM Scenarios that Span the Range of Changes in a Multimodel Ensemble: Application to CMIP5 Climate Extremes Indices*

Recent variations in seasonality of temperature and precipitation in Canada, 1976-95

article

Downscaling and visioning of mountain snow packs and other climate change implications in North Vancouver, British Columbia

scholarly article by Stewart Jay Cohen et al published 21 July 2011 in Mitigation and Adaptation Strategies for Global Change

Wetter summers can intensify departures from natural variability in a warming climate

scientific article published on 22 February 2018

Daily streamflow forecasting by machine learning methods with weather and climate inputs

article

A graphical sensitivity analysis for statistical climate models: application to Indian monsoon rainfall prediction by artificial neural networks and multiple linear regression models

article

Multivariate Bias Correction of Climate Model Output: Matching Marginal Distributions and Intervariable Dependence Structure

article

Using a down-scaled bioclimate envelope model to determine long-term temporal connectivity of Garry oak (Quercus garryana) habitat in western North America: implications for protected area planning

scientific article

Nonlinear regression in environmental sciences using extreme learning machines: A comparative evaluation

article

Forecasting summertime surface-level ozone concentrations in the Lower Fraser Valley of British Columbia: an ensemble neural network approach

scientific article

Forecasting daily streamflow using online sequential extreme learning machines

article

Regression-Guided Clustering: A Semisupervised Method for Circulation-to-Environment Synoptic Classification

Classification and Conceptual Models for Heavy Snowfall Events over East Vancouver Island of British Columbia, Canada

article

GEVcdn: An R package for nonstationary extreme value analysis by generalized extreme value conditional density estimation network

Effects of univariate and multivariate bias correction on hydrological impact projections in alpine catchments

article published in 2019

Comparison of gridded snow water equivalent products with in situ measurements in British Columbia, Canada

article

Neural networks for probabilistic environmental prediction: Conditional Density Estimation Network Creation and Evaluation (CaDENCE) in R

An intercomparison of regional and at-site rainfall extreme value analyses in southern British Columbia, Canada

article

Statistical emulation of streamflow projections from a distributed hydrological model: Application to CMIP3 and CMIP5 climate projections for British Columbia, Canada

article

Crop yield forecasting on the Canadian Prairies by remotely sensed vegetation indices and machine learning methods

article

Lapse Rate Adjustments of Gridded Surface Temperature Normals in an Area of Complex Terrain: Atmospheric Reanalysis versus Statistical Up-Sampling

article published in 2012

Seasonal Modulations of the Active MJO Cycle Characterized by Nonlinear Principal Component Analysis

article

Towards Robust Nonlinear Multivariate Analysis by Neural Network Methods

article

Nonlinear regression in environmental sciences by support vector machines combined with evolutionary strategy

article

Negative ridge regression parameters for improving the covariance structure of multivariate linear downscaling models

scholarly article by Alex J. Cannon published April 2009 in International Journal of Climatology

Improving gridded snow water equivalent products in British Columbia, Canada: multi-source data fusion by neural network models

article

A Dynamical Climate Model–Driven Hydrologic Prediction System for the Fraser River, Canada

article

Nonlinear analog predictor analysis: a coupled neural network/analog model for climate downscaling

scientific article published on 30 April 2007

Projecting future nonstationary extreme streamflow for the Fraser River, Canada

article

Simulating shrubs and their energy and carbon dioxide fluxes in Canada's Low Arctic with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC)

scientific article

Evaluating the Performance of the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) Tailored to the Pan‐Canadian Domain

scientific article published in 2023

Intercomparison of projected changes in climate extremes for South Korea: application of trend preserving statistical downscaling methods to the CMIP5 ensemble

scholarly article by Hyung-Il Eum & Alex J. Cannon published 25 November 2016 in International Journal of Climatology

Downscaling temperature and precipitation using support vector regression with evolutionary strategy

Evaluation and joint projection of temperature and precipitation extremes across Canada based on hierarchical Bayesian modelling and large ensembles of regional climate simulations

scientific article published in 2022

List of works by Alex J. Cannon

Bias Correction of GCM Precipitation by Quantile Mapping: How Well Do Methods Preserve Changes in Quantiles and Extremes?

Groundwater–surface water interaction under scenarios of climate change using a high-resolution transient groundwater model

Recent Variations in Climate and Hydrology in Canada

A closer look at novel climates: new methods and insights at continental to landscape scales.

Downscaling recent streamflow conditions in British Columbia, Canada using ensemble neural network models

Complexity in estimating past and future extreme short-duration rainfall

A flexible nonlinear modelling framework for nonstationary generalized extreme value analysis in hydroclimatology

Probabilistic Multisite Precipitation Downscaling by an Expanded Bernoulli–Gamma Density Network

Multivariate quantile mapping bias correction: an 𝑁-dimensional probability density function transform for climate model simulations of multiple variables

Validation of historical and future statistically downscaled pseudo-observed surface wind speeds in terms of annual climate indices and daily variability

Hydrologic extremes – an intercomparison of multiple gridded statistical downscaling methods

Modelling Streamflow in Present and Future Climates: Examples from the Georgia Basin, British Columbia

Quantile regression neural networks: Implementation in R and application to precipitation downscaling

Influence of Pacific Climate Patterns on Low-Flows in British Columbia and Yukon, Canada

Comparison of statistically downscaled precipitation in terms of future climate indices and daily variability for southern Ontario and Quebec, Canada

Selecting GCM Scenarios that Span the Range of Changes in a Multimodel Ensemble: Application to CMIP5 Climate Extremes Indices*

Recent variations in seasonality of temperature and precipitation in Canada, 1976-95

Downscaling and visioning of mountain snow packs and other climate change implications in North Vancouver, British Columbia

Wetter summers can intensify departures from natural variability in a warming climate

Daily streamflow forecasting by machine learning methods with weather and climate inputs

A graphical sensitivity analysis for statistical climate models: application to Indian monsoon rainfall prediction by artificial neural networks and multiple linear regression models

Multivariate Bias Correction of Climate Model Output: Matching Marginal Distributions and Intervariable Dependence Structure

Using a down-scaled bioclimate envelope model to determine long-term temporal connectivity of Garry oak (Quercus garryana) habitat in western North America: implications for protected area planning

Nonlinear regression in environmental sciences using extreme learning machines: A comparative evaluation

Forecasting summertime surface-level ozone concentrations in the Lower Fraser Valley of British Columbia: an ensemble neural network approach

Forecasting daily streamflow using online sequential extreme learning machines

Regression-Guided Clustering: A Semisupervised Method for Circulation-to-Environment Synoptic Classification

Classification and Conceptual Models for Heavy Snowfall Events over East Vancouver Island of British Columbia, Canada

GEVcdn: An R package for nonstationary extreme value analysis by generalized extreme value conditional density estimation network

Effects of univariate and multivariate bias correction on hydrological impact projections in alpine catchments

Comparison of gridded snow water equivalent products with in situ measurements in British Columbia, Canada

Neural networks for probabilistic environmental prediction: Conditional Density Estimation Network Creation and Evaluation (CaDENCE) in R

An intercomparison of regional and at-site rainfall extreme value analyses in southern British Columbia, Canada

Statistical emulation of streamflow projections from a distributed hydrological model: Application to CMIP3 and CMIP5 climate projections for British Columbia, Canada

Crop yield forecasting on the Canadian Prairies by remotely sensed vegetation indices and machine learning methods

Lapse Rate Adjustments of Gridded Surface Temperature Normals in an Area of Complex Terrain: Atmospheric Reanalysis versus Statistical Up-Sampling

Seasonal Modulations of the Active MJO Cycle Characterized by Nonlinear Principal Component Analysis

Towards Robust Nonlinear Multivariate Analysis by Neural Network Methods

Nonlinear regression in environmental sciences by support vector machines combined with evolutionary strategy

Negative ridge regression parameters for improving the covariance structure of multivariate linear downscaling models

Improving gridded snow water equivalent products in British Columbia, Canada: multi-source data fusion by neural network models

A Dynamical Climate Model–Driven Hydrologic Prediction System for the Fraser River, Canada

Nonlinear analog predictor analysis: a coupled neural network/analog model for climate downscaling

Projecting future nonstationary extreme streamflow for the Fraser River, Canada

Simulating shrubs and their energy and carbon dioxide fluxes in Canada's Low Arctic with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC)

Evaluating the Performance of the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) Tailored to the Pan‐Canadian Domain

Intercomparison of projected changes in climate extremes for South Korea: application of trend preserving statistical downscaling methods to the CMIP5 ensemble

Downscaling temperature and precipitation using support vector regression with evolutionary strategy

Evaluation and joint projection of temperature and precipitation extremes across Canada based on hierarchical Bayesian modelling and large ensembles of regional climate simulations

Recent Variations in Temperature, Precipitation, and Streamflow in the Rio Grande and Pecos River Basins of New Mexico and Colorado