Civil
Engineering

125

Dr. Paulin Coulibaly
B.A.Sc., M.A.Sc. (Nice),
Ph.D. (Laval), P.Eng.

 Office GSB 235
Extension 23354
Email address couliba@mcmaster.ca

 Associate Professor, Civil Engineering jointly with School of Geography and Earth Sciences

Water and Environmental Engineering

Research Interests

  • Water Resources System Modelling
  • Hydroclimatic Modelling and Forecasting
  • Climate Change Impact on Water Resources
  • Hydroinformatics: Statistical and Data-Driven Methods in Hydrology
  • Hydrologic Data Assimilation
Water Resources and Hydrologic Modelling Lab

Specific Research Interests and Activities:

Water Resources System Modelling

Integrated surface and groundwater system analysis and modelling. GIS-Hydrologic models for water resources estimation and planning.

Hydroclimatic Modelling and Forecasting

Use of low frequency climatic oscillation indicators in hydrologic modelling. Long-range hydrologic forecasting with numerical weather predictions.

Climate Change Impact on Water Resources

Modelling and predicting extreme hydrologic events (floods & droughts) associated extreme weather. Statistical downscaling of climate predictors for hydrologic impact assessment at watershed scale.

Hydroinformatics

Application of advanced statistical and data-driven methods in hydrology. Development of regionalization methods for streamflow prediction at ungauged basins.

Hydrologic Data Assimilation

Soil moisture and snow assimilation in physical hydrologic models. Remote sensing hydrology. Uncertainty analysis.

Publications

  • SULTANA, Z. and COULIBALY, P. (2010). Distributed modeling of future changes in hydrological processes of Spencer Creek watershed. Hydrological Processes, (in press).
  • SHARMA, M., COULIBALY, P., DIBIKE, Y. B. (2010). Assessing the need for downscaling RCM data for hydrologic impact study. ASCE Journal of Hydrologic Engineering, (in press).
  • SAMUEL, J., COULIBALY, P., METCALFE, R. (2010). Estimation of Continuous Streamflow in Ontario Ungauged Basins: Comparison of Regionalization Methods. ASCE Journal of Hydrologic Engineering, (in press).
  • COULIBALY, P. (2010). Reservoir computing approach to Great Lakes water level forecasting. Journal of Hydrology, 381, 76-88.
  • MISHRA, A.K. and COULIBALY, P. (2010). Hydrometric network evaluation for Canadian watersheds. Journal of Hydrology, 380, 420-437.
  • KHAN, M.S., and COULIBALY, P. (2010). Assessing hydrologic impact of climate change with uncertainty estimates: Bayesian neural network approach. Journal of Hydrometeorology, 11 (2), 482-495.
  • EVORA, N.D. and COULIBALY, P. (2009). Recent advances in data-driven modeling of remote sensing applications in hydrology. Special Issue of Journal of Hydroinformatics, 11(3-4), 194-201
  • MISHRA, A.K. and COULIBALY, P. (2009). Developments in hydrometric network design: A Review. Reviews of Geophysics, 47, RG2001, doi:10.1029/2007RG000243.
  • SOLAIMAN, T.A., COULIBALY, P., KANAROGLOU, P. (2008). Ground level ozone forecasting using data-driven methods. Air Quality, Atmosphere and Health Journal, 1, 179-193
  • DIBIKE, Y. B. and COULIBALY, P. (2008). TDNN with logical values for hydrologic modeling in cold and snowy climate. Journal of Hydroinformatics, 10(4), 289-300.
  • TSANIS, I.K., COULIBALY, P., DALIAKOPOULOS, I.N. (2008). Improving groundwater level forecasting with a feedforward neural network and linearly regressed projected precipitation. Journal of Hydroinformatics, 10, 317-330.
  • LIU, X., COULIBALY, P. and EVORA, N. D. (2008). Comparison of data-driven methods for downscaling ensemble weather forecasts. Hydrology and Earth System Sciences, 12, 615-624.
  • COULIBALY, P. and EVORA, N. D. (2007). Comparison of neural network methods for infilling missing daily weather records. Journal of Hydrology, 341, 27-41. [ Ranked 8th among ScienceDirect Top 25 Hottest Articles, July - September 2007 ]
  • DIBIKE, Y. B. and COULIBALY, P. (2007). Validation of hydrological models for climate scenario simulation: the case of Saguenay watershed in Quebec. Hydrological Processes, 21, 3123-3135.
  • MULUYE, G. and COULIBALY, P. (2007). Seasonal reservoir inflow forecasting with low-frequency climatic indices: a comparison of data-driven methods. Hydrological Sciences Journal, 52(3), 508-522.
  • COULIBALY, P. (2006). Spatial and temporal variability of Canadian seasonal precipitation (1900-2000). Advances in Water Resources, 29, 1846-1865.
  • KHAN, M. S. and COULIBALY, P. (2006). Bayesian neural network for rainfall-runoff modeling. Water Resources Research, 42, W07409, doi:1029/2005WR003971.
  • KHAN, M. S., COULIBALY, P., and DIBIKE, Y. B. (2006). Uncertainty analysis of statistical downscaling methods using CGCM predictors. Hydrological Processes, 20(14), 3085-3104.
  • DIBIKE, Y. B. and COULIBALY, P. (2006). Temporal neural networks for downscaling climate variability and extremes. Special Issue of Neural Networks, 19(2), 135-144.
  • KHAN, M. S., COULIBALY, P. and DIBIKE, Y. B. (2006). Uncertainty analysis of statistical downscaling methods. Journal of Hydrology, 319, 357-382.
  • KHAN, M.S. and COULIBALY, P. (2006). Predicting monthly Lake water levels using support vector machine. ASCE Journal of Hydrologic Engineering, 1(3), 199-205.
  • LIBERDA, J., SCHNARR, K., COULIBALY, P., BOREHAM, D.R. (2005). Artificial neural network modeling of apoptosis in gamma irradiated human lymphocytes. International Journal of Radiation Biology, 81(11), 827-840.
  • COULIBALY P., DIBIKE Y. B. and ANCTIL, F. (2005). Downscaling precipitation and temperature with temporal neural networks. Journal of Hydrometeorology, 6(4), 483-496.
  • COULIBALY, P. and BALDWIN, C.K. (2005). Nonstationary hydrological time series forecasting using nonlinear dynamic methods. Journal of Hydrology, 307(1-4), 164-174.
  • COULIBALY, P., HACHE, M., FORTIN, V., and BOBÉE, B. (2005). Improving daily reservoir inflow forecasts with model combination. ASCE Journal of Hydrologic Engineering, 10(2), 91-99.
  • DIBIKE Y. B. and COULIBALY, P. (2005). Hydrologic impact of climate change in the Saguenay watershed: Comparison of downscaling methods and hydrologic models. Journal of Hydrology, 307(1-4), 145-163. . [ Ranked 20th among ScienceDirect Top 25 Hottest Articles, April - June 2005 ]
  • COULIBALY, P. and BURN, D.H. (2005). Spatial and temporal variability of Canadian seasonal streamflows. Journal of Climate, 18(1), 191-210.
  • DALIAKOPOULOS, I.N., COULIBALY, P., TSANIS, I.K. (2005). Groundwater level forecasting using artificial neural networks. Journal of Hydrology, 309, 229-240.
  • COULIBALY, P. (2004). Downscaling daily extreme temperatures with genetic programming. Geophysical Research Letters, 31(16), L16203, 1-4.
  • COULIBALY, P. and BURN, D.H. (2004). Wavelet analysis of the variability in annual Canadian streamflows. Water Resources Research, 40(3), W03105, 1-14.
  • COULIBALY, P. (2003). Impact of meteorological predictions on real-time spring flow forecasting. Hydrological Processes, 17(18), 3791-3801.