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François Anctil

François Anctil

D-Index & Metrics

Environmental Sciences

D-Index
49
Citations
11276
World Ranking
5165
National Ranking
217

Overview

François Anctil is affiliated with Université Laval in Canada and has a research focus primarily in Environmental Science and Earth and Planetary Sciences. Their work encompasses several subfields including Atmospheric Science, Global and Planetary Change, Water Science and Technology, Environmental Engineering, and Ecology.

The scientist's research topics cover various aspects of hydrology and watershed management, cryospheric studies and observations, climate change and permafrost, plant water relations and carbon dynamics, flood risk assessment and management, hydrology and drought analysis, and climate variability and models.

They have contributed to numerous publications in a range of journals. Frequent publication venues include:

  • Hydrology and Earth System Sciences
  • Journal of Hydrometeorology
  • Zenodo (CERN European Organization for Nuclear Research)
  • Water
  • Hydrological Processes

Recent notable papers include:

  • Using bias correction and ensemble modelling for predictive mapping and related uncertainty: A case study in digital soil mapping, 2021, Geoderma
  • Uncertainty Analysis of a 1D River Hydraulic Model with Adaptive Calibration, 2020, Water
  • Choosing between post-processing precipitation forecasts or chaining several uncertainty quantification tools in hydrological forecasting systems, 2022, Hydrology and Earth System Sciences
  • Exploring the spatiotemporal variability of the snow water equivalent in a small boreal forest catchment through observation and modelling, 2020, Hydrological Processes
  • Asynchronous Hydroclimatic Modeling for the Construction of Physically Based Streamflow Projections in a Context of Observation Scarcity, 2020, Frontiers in Earth Science

Their collaborative network includes frequent co-authors such as:

  • Daniel F. Nadeau
  • Antoine Thiboult
  • Pierre-Erik Isabelle
  • Jean-Daniel Sylvain
  • Annie-Claude Parent

Best Publications

  • Which potential evapotranspiration input for a lumped rainfall-runoff model?. Part 2: Towards a simple and efficient potential evapotranspiration model for rainfall-runoff modelling

    Ludovic Oudin;Frédéric Hervieu;Claude Michel;Charles Perrin

  • Daily reservoir inflow forecasting using artificial neural networks with stopped training approach

    P. Coulibaly;F. Anctil;B. Bobée

  • Artificial neural network modeling of water table depth fluctuations

    Paulin Coulibaly;François Anctil;Ramon Aravena;Bernard Bobée

  • Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting

    Robert J. Abrahart;François Anctil;Paulin Coulibaly;Christian W. Dawson

  • Why Should Ensemble Spread Match the RMSE of the Ensemble Mean

    V. Fortin;M. Abaza;F. Anctil;R. Turcotte

  • Downscaling Precipitation and Temperature with Temporal Neural Networks

    Paulin Coulibaly;Yonas B. Dibike;François Anctil

  • Comparing Sigmoid Transfer Functions for Neural Network Multistep Ahead Streamflow Forecasting

    H. Yonaba;H. Yonaba;F. Anctil;F. Anctil;V. Fortin;V. Fortin

  • Multivariate Reservoir Inflow Forecasting Using Temporal Neural Networks

    Paulin Coulibaly;François Anctil;Bernard Bobée

  • Which potential evapotranspiration input for a lumped rainfall-runoff model?. Part 1—Can rainfall-runoff models effectively handle detailed potential evapotranspiration inputs?

    Ludovic Oudin;Claude Michel;François Anctil

  • Impact of the length of observed records on the performance of ANN and of conceptual parsimonious rainfall-runoff forecasting models

    François Anctil;Charles Perrin;Vazken Andréassian

  • Assessing the capability of the SWAT model to simulate snow, snow melt and streamflow dynamics over an alpine watershed

    Youen Grusson;Youen Grusson;Xiaoling Sun;Xiaoling Sun;Simon Gascoin;Sabine Sauvage;Sabine Sauvage

  • Wavelet Analysis of the Interannual Variability in Southern Quebec Streamflow

    François Anctil;Paulin Coulibaly

  • An exploration of artificial neural network rainfall-runoff forecasting combined with wavelet decomposition

    François Anctil;Doha Guy Tape

  • A soil moisture index as an auxiliary ANN input for stream flow forecasting

    François Anctil;Claude Michel;Charles Perrin;Vazken Andréassian

  • Multimodel evaluation of twenty lumped hydrological models under contrasted climate conditions

    G. Seiller;F. Anctil;C. Perrin

  • Neural network estimation of air temperatures from AVHRR data

    J.-D. Jang;A. A. Viau;F. Anctil

  • Air Water Momentum Flux Observations over Shoaling waves

    F. Anctil;M. A. Donelan

  • Prévision hydrologique par réseaux de neurones artificiels : état de l'art

    Paulin Coulibaly;François Anctil;Bernard Bobée

  • Can a multi-model approach improve hydrological ensemble forecasting? A study on 29 French catchments using 16 hydrological model structures

    J. A. Velázquez;F. Anctil;M. H. Ramos;C. Perrin

  • Eddy-correlation measurements of air-sea fluxes from a discus buoy

    François Anctil;Mark A. Donelan;William M. Drennan;Hans C. Graber

  • Evaluation of streamflow simulation by SWAT model for two small watersheds under snowmelt and rainfall

    Étienne Lévesque;François Anctil;Ann Van Griensven;Nicolas Beauchamp

Frequent Co-Authors

Paulin Coulibaly
Paulin Coulibaly McMaster University
Peter A. Vanrolleghem
Peter A. Vanrolleghem Université Laval
Charles Perrin
Charles Perrin University of Paris-Saclay
Sabine Sauvage
Sabine Sauvage Paul Sabatier University
Vazken Andréassian
Vazken Andréassian University of Paris-Saclay
Ludovic Oudin
Ludovic Oudin Sorbonne University
Simon Gascoin
Simon Gascoin Centre d'Etudes Spatiales de la BIOsphère
Robert L. Wilby
Robert L. Wilby Loughborough University
Mark A. Donelan
Mark A. Donelan University of Miami
Thomas Kätterer
Thomas Kätterer Swedish University of Agricultural Sciences

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