List of works - Alex J. Cannon

Variable complexity online sequential extreme learning machine, with applications to streamflow prediction

article

Nonlinear Principal Predictor Analysis: Application to the Lorenz System

Machine learning in Earth and environmental science requires education and research policy reforms

scholarly article

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

article by Judith Meyer et al published 28 June 2018 in Hydrology and earth system sciences discussions

A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC)

scientific article published in 2023

Semi-supervised multivariate regression trees: putting the ‘circulation’ back into a ‘circulation-to-environment’ synoptic classifier

Corrigendum to “Quantile regression neural networks: Implementation in R and application to precipitation downscaling” [Comput. Geosci. 37(9) (2011) 1277–1284]

scholarly article published in Computers and Geosciences

Non-crossing nonlinear regression quantiles by monotone composite quantile regression neural network, with application to rainfall extremes

High-resolution meteorological forcing data for hydrological modelling and climate change impact analysis in the Mackenzie River Basin

scientific article published in 2020

Multivariate Bias‐Correction of High‐Resolution Regional Climate Change Simulations for West Africa: Performance and Climate Change Implications

scientific article published on 7 March 2022

Regional scenarios of change over Canada: future climate projections

Evaluating hourly air quality forecasting in Canada with nonlinear updatable machine learning methods

article

Revisiting the nonlinear relationship between ENSO and winter extreme station precipitation in North America

article

A long-term, temporally consistent, gridded daily meteorological dataset for northwestern North America

scientific article published on 15 January 2019

Projected intensification of sub-daily and daily rainfall extremes in convection-permitting climate model simulations over North America: Implications for future Intensity–Duration–Frequency curves

article

Future changes in autumn atmospheric river events in British Columbia, Canada, as projected by CMIP5 global climate models

article

WFDEI-GEM-CaPA: A 38-year High-Resolution Meteorological Forcing Data Set for Land Surface Modeling in North America

Intercomparison of multiple statistical downscaling methods: multi-criteria model selection for South Korea

Short Lead-Time Streamflow Forecasting by Machine Learning Methods, with Climate Variability Incorporated

article

Canadian Large Ensembles Adjusted Dataset version 1 (CanLEADv1): Multivariate bias‐corrected climate model outputs for terrestrial modelling and attribution studies in North America

scientific article published in 2021

A comparison of bayesian and conditional density models in probabilistic ozone forecasting

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

preprint

High-Resolution Meteorological Forcing Data for Hydrological Modelling and Climate Change Impact Analysis in Mackenzie River Basin

Bayesian Neural Networks Based Bootstrap Aggregating for Tropical Cyclone Tracks Prediction in South China Sea

article

CORRIGENDUM

scholarly article published in Journal of Hydrometeorology

List of works by Alex J. Cannon

Variable complexity online sequential extreme learning machine, with applications to streamflow prediction

Nonlinear Principal Predictor Analysis: Application to the Lorenz System

Machine learning in Earth and environmental science requires education and research policy reforms

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

A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC)

Semi-supervised multivariate regression trees: putting the ‘circulation’ back into a ‘circulation-to-environment’ synoptic classifier

Corrigendum to “Quantile regression neural networks: Implementation in R and application to precipitation downscaling” [Comput. Geosci. 37(9) (2011) 1277–1284]

Non-crossing nonlinear regression quantiles by monotone composite quantile regression neural network, with application to rainfall extremes

High-resolution meteorological forcing data for hydrological modelling and climate change impact analysis in the Mackenzie River Basin

Multivariate Bias‐Correction of High‐Resolution Regional Climate Change Simulations for West Africa: Performance and Climate Change Implications

Regional scenarios of change over Canada: future climate projections

Evaluating hourly air quality forecasting in Canada with nonlinear updatable machine learning methods

Revisiting the nonlinear relationship between ENSO and winter extreme station precipitation in North America

A long-term, temporally consistent, gridded daily meteorological dataset for northwestern North America

Projected intensification of sub-daily and daily rainfall extremes in convection-permitting climate model simulations over North America: Implications for future Intensity–Duration–Frequency curves

Future changes in autumn atmospheric river events in British Columbia, Canada, as projected by CMIP5 global climate models

WFDEI-GEM-CaPA: A 38-year High-Resolution Meteorological Forcing Data Set for Land Surface Modeling in North America

Intercomparison of multiple statistical downscaling methods: multi-criteria model selection for South Korea

Short Lead-Time Streamflow Forecasting by Machine Learning Methods, with Climate Variability Incorporated

Canadian Large Ensembles Adjusted Dataset version 1 (CanLEADv1): Multivariate bias‐corrected climate model outputs for terrestrial modelling and attribution studies in North America

A comparison of bayesian and conditional density models in probabilistic ozone forecasting

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

High-Resolution Meteorological Forcing Data for Hydrological Modelling and Climate Change Impact Analysis in Mackenzie River Basin

Bayesian Neural Networks Based Bootstrap Aggregating for Tropical Cyclone Tracks Prediction in South China Sea

CORRIGENDUM

Transferability of climate simulation uncertainty to hydrological impacts