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Paulin Coulibaly

Paulin Coulibaly

D-Index & Metrics

Environmental Sciences

D-Index
52
Citations
12840
World Ranking
4410
National Ranking
186

Overview

Paulin Coulibaly is affiliated with McMaster University in Canada with a primary focus in Environmental Science. Their research spans several subfields including Global and Planetary Change, Water Science and Technology, Atmospheric Science, Environmental Engineering, and Ocean Engineering.

The scientist's work extensively covers topics such as Hydrology and Watershed Management Studies, Flood Risk Assessment and Management, Hydrology and Drought Analysis, Hydrological Forecasting Using AI, Climate Variability and Models, Meteorological Phenomena and Simulations, and Precipitation Measurement and Analysis.

Paulin has contributed to multiple peer-reviewed articles published mainly in these venues:

  • Water
  • Journal of Hydrology Regional Studies
  • Journal of Hydrology
  • Journal of Hydrometeorology
  • SSRN Electronic Journal

Key recent publications include:

  • Recent Advances in Real-Time Pluvial Flash Flood Forecasting, 2020, Water
  • Inter-comparison of lumped hydrological models in data-scarce watersheds using different precipitation forcing data sets: Case study of Northern Ontario, Canada, 2020, Journal of Hydrology Regional Studies
  • Flood Inundation Mapping in an Ungauged Basin, 2020, Water
  • A temporal downscaling approach for sub-daily gridded extreme rainfall intensity estimation under climate change, 2021, Journal of Hydrology Regional Studies
  • Introducing entropy-based Bayesian model averaging for streamflow forecast, 2020, Journal of Hydrology

Frequent coauthors collaborating with Paulin Coulibaly include:

  • Wael El-Dakhakhni
  • Sonia Hassini
  • Pedram Darbandsari
  • Mohamed Refaat Elgendy
  • Moustafa Naiem Abdel-Mooty

The research contributions reflect an interdisciplinary approach integrating hydrological modeling, flood risk assessment, and climate-related studies. The focus on both methodological advancements such as Bayesian model averaging for streamflow forecasting and applied studies in flood inundation and extreme rainfall estimation indicates a comprehensive engagement with hydrology and environmental science challenges.

The publication record shows active involvement in journals that specialize in water resources, hydrology, and environmental regional studies, reflecting the scientist's engagement with both fundamental and applied environmental research topics.

Best Publications

  • Groundwater level forecasting using artificial neural networks

    Ioannis N. Daliakopoulos;Paulin Coulibaly;Ioannis K. Tsanis

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

    P. Coulibaly;F. Anctil;B. Bobée

  • Hydrologic impact of climate change in the Saguenay watershed: comparison of downscaling methods and hydrologic models

    Yonas B. Dibike;Paulin Coulibaly

  • Artificial neural network modeling of water table depth fluctuations

    Paulin Coulibaly;François Anctil;Ramon Aravena;Bernard Bobée

  • Uncertainty analysis of statistical downscaling methods

    Mohammad Sajjad Khan;Paulin Coulibaly;Yonas Dibike

  • Streamflow Prediction in Ungauged Basins: Review of Regionalization Methods

    Tara Razavi;Paulin Coulibaly

  • Developments in hydrometric network design: A review

    Ashok K. Mishra;Paulin Coulibaly

  • Advances in soil moisture retrieval from synthetic aperture radar and hydrological applications

    Kurt C. Kornelsen;Paulin Coulibaly

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

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

  • Application of Support Vector Machine in Lake Water Level Prediction

    Mohammad Sajjad Khan;Paulin Coulibaly

  • Wavelet analysis of variability in annual Canadian streamflows

    Paulin Coulibaly;Donald H. Burn

  • Nonstationary hydrological time series forecasting using nonlinear dynamic methods

    Paulin Coulibaly;Connely K. Baldwin

  • Estimation of Continuous Streamflow in Ontario Ungauged Basins: Comparison of Regionalization Methods

    Jos Samuel;Jos Samuel;Paulin Coulibaly;Paulin Coulibaly;Robert A. Metcalfe;Robert A. Metcalfe

  • Downscaling Precipitation and Temperature with Temporal Neural Networks

    Paulin Coulibaly;Yonas B. Dibike;François Anctil

  • Comparison of neural network methods for infilling missing daily weather records

    P. Coulibaly;N.D. Evora

  • Multivariate Reservoir Inflow Forecasting Using Temporal Neural Networks

    Paulin Coulibaly;François Anctil;Bernard Bobée

  • 2006 Special issue: Temporal neural networks for downscaling climate variability and extremes

    Yonas B. Dibike;Paulin Coulibaly

  • Wavelet Analysis of the Interannual Variability in Southern Quebec Streamflow

    François Anctil;Paulin Coulibaly

  • Bayesian neural network for rainfall‐runoff modeling

    Mohammad Sajjad Khan;Paulin Coulibaly

  • Bayesian Flood Forecasting Methods: A Review

    Shasha Han;Paulin Coulibaly

  • Temporal neural networks for downscaling climate variability and extremes

    Y.B. Dibike;P. Coulibaly

Frequent Co-Authors

François Anctil
François Anctil Université Laval
Donald H. Burn
Donald H. Burn University of Waterloo
M. Altaf Arain
M. Altaf Arain McMaster University
Ioannis K. Tsanis
Ioannis K. Tsanis Technical University of Crete
Alain Pietroniro
Alain Pietroniro University of Saskatchewan
Pavlos S. Kanaroglou
Pavlos S. Kanaroglou McMaster University
Robert L. Wilby
Robert L. Wilby Loughborough University
Ramon Aravena
Ramon Aravena University of Waterloo
Hamid Moradkhani
Hamid Moradkhani University of Alabama
Michael H. Cosh
Michael H. Cosh Agricultural Research Service

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