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Environmental Sciences

D-Index
50
Citations
11195
World Ranking
4911
National Ranking
205

Overview

Alex J. Cannon is affiliated with the University of Victoria in Canada and specializes in research within Environmental Science and Earth and Planetary Sciences. Their work encompasses a broad range of topics primarily centered on climate variability, meteorological phenomena, and atmospheric science.

The scientist's recent publications include studies on climate model biases, downscaled climate normals, and atmospheric circulation. Notable papers are:

  • "Multivariate bias corrections of climate simulations: which benefits for which losses?" (2020) in Earth System Dynamics
  • "A global climate model ensemble for downscaled monthly climate normals over North America" (2022) in International Journal of Climatology
  • "Reductions in daily continental-scale atmospheric circulation biases between generations of global climate models: CMIP5 to CMIP6" (2020) in Environmental Research Letters
  • "Human influence on the 2021 British Columbia floods" (2022) in Weather and Climate Extremes
  • "Multivariate Bias-Correction of High-Resolution Regional Climate Change Simulations for West Africa: Performance and Climate Change Implications" (2022) in Journal of Geophysical Research Atmospheres

Their research contributions have been published frequently in venues such as:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Climate Dynamics
  • Environmental Research Letters
  • Journal of Climate
  • Climatic Change

Frequent collaborators include:

  • Dae Il Jeong
  • Joe R. Melton
  • Bo Qu
  • Bin Yu
  • Mohammad Reza Najafi

Their main fields of study focus on Environmental Science and Earth and Planetary Sciences. Within these fields, their subfields of study cover:

  • Global and Planetary Change
  • Atmospheric Science
  • Environmental Engineering
  • Water Science and Technology
  • Ecology, Evolution, Behavior and Systematics

Key topics addressed in their work include:

  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Atmospheric and Environmental Gas Dynamics
  • Climate change and permafrost
  • Hydrology and Watershed Management Studies
  • Cryospheric studies and observations
  • Flood Risk Assessment and Management

Best Publications

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

    Alex J. Cannon;Stephen R. Sobie;Trevor Q. Murdock

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

    Alex J. Cannon

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

    Alex J. Cannon

  • Coupled modelling of glacier and streamflow response to future climate scenarios

    K. Stahl;K. Stahl;R. D. Moore;J. M. Shea;D. Hutchinson

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

    Kabir Rasouli;William W. Hsieh;Alex J. Cannon

  • Complexity in estimating past and future extreme short-duration rainfall

    Xuebin Zhang;Francis W. Zwiers;Guilong Li;Hui Wan

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

    Jacek Scibek;Diana M. Allen;Alex J. Cannon;Paul H. Whitfield

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

    Michael D. Johnson;William W. Hsieh;Alex J. Cannon;Andrew Davidson

  • Attribution of the Influence of Human-Induced Climate Change on an Extreme Fire Season

    M. C. Kirchmeier-Young;N. P. Gillett;F. W. Zwiers;A. J. Cannon

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

    Alex J Cannon;Paul H Whitfield

  • Recent Variations in Climate and Hydrology in Canada

    Paul H. Whitfield;Alex J. Cannon

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

    Alex J. Cannon

  • Downscaling Extremes—An Intercomparison of Multiple Statistical Methods for Present Climate

    G. Bürger;T. Q. Murdock;A. T. Werner;S. R. Sobie

  • Hydrologic extremes – an intercomparison of multiple gridded statistical downscaling methods

    Arelia T. Werner;Alex J. Cannon

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

    Alex J. Cannon

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

    Alex J. Cannon

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

    Colin R. Mahony;Alex J. Cannon;Tongli Wang;Sally N. Aitken

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

    Alex J. Cannon

  • Downscaling Extremes: An Intercomparison of Multiple Methods for Future Climate

    Gerd Bürger;S. R. Sobie;A. J. Cannon;A. T. Werner

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

    Alex J. Cannon

  • Multivariate bias corrections of climate simulations: which benefits for which losses?

    Bastien François;Mathieu Vrac;Alex J. Cannon;Yoann Robin

Frequent Co-Authors

William W. Hsieh
William W. Hsieh University of British Columbia
Paul H. Whitfield
Paul H. Whitfield University of Saskatchewan
Francis W. Zwiers
Francis W. Zwiers University of Victoria
Budong Qian
Budong Qian Agriculture and Agriculture-Food Canada
John W. Pomeroy
John W. Pomeroy University of Saskatchewan
Barrie Bonsal
Barrie Bonsal University of Victoria
Howard Wheater
Howard Wheater Imperial College London
Alain Pietroniro
Alain Pietroniro University of Saskatchewan
Qi Jing
Qi Jing Environment and Climate Change Canada
Chong-Yu Xu
Chong-Yu Xu North China University of Water Conservancy and Electric Power

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