McMaster Water Resources and Hydrologic Modeling Lab

Contact Information


Paulin Coulibaly, Professor,
Jointly in School of Geography & Earth Sciences,
and Department of Civil Engineering

Office: General Science Building, Rm 235
Tel: (905) 525-9140 ext. 23354
Fax: (905) 546-0463
Email: couliba@mcmaster.ca

Dr. Paulin Coulibaly

Dr. Paulin Coulibaly

About Paulin Coulibaly

Contribution to Books
Journal Articles
Reports


Contribution to Books

KEUM, J., COULIBALY, P., PIETRONIRO, A. (2018). Assessing the Effect of Streamflow Estimation at Potential Station Locations in Entropy-Based Hydrometric Network Design. In: EPiC Series in Engineering, Volume 3, 1048-1054. La Loggia, G., Freni, G., Puleo, V., De Marchis, M. (Eds.). HIC 2018 - 13th International Conference on Hydroinformatics. DOI: 10.29007/xlv7

SAMUEL, J., COULIBALY, P., METCALFE, R. (2012). Continuous Simulation of Low Flows for Hydropower Development in Ontario, Canada. In: PUB Benchmark Report: Case Studies. Bloschl, G., Sivapalan, M., Viglione, A., Wagener, T., H. Savenije, (Eds.). Cambridge University Press, UK.

COULIBALY, P. (2008). Multi-Model Approach to Hydrologic Impact of Climate Change. In: From Headwaters to the Ocean: Hydrological Changes and Watershed Management. M. Taniguchi, W.C. Burnett, Y. Fukushima, M. Haigh, and Y. Umezawa (Eds.). CRC Press/Balkema, Leiden, The Netherlands.

COULIBALY, P. and BALDWIN, C.K. (2008). Dynamic Neural Networks for Nonstationary Hydrological Time Series Modeling. In: Hydroinformatics in Practice: Computational Intelligence and Technological Developments in Water Applications. R. Abrahart, L. See, D. Solomatine (Eds.). Springer-Verlag, Berlin Heidelberg.

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Journal Articles

LEACH, J.M., COULIBALY, P. (2019). An extension of data assimilation into the short-term hydrologic forecast for improved prediction reliability.   Advances in Water Resources. DOI:10.1016/j.advwatres.2019.103443

KEUM, J., AWOL, F.S., URSULAK, J., COULIBALY, P. (2019). Introducing the Ensemble-Based Dual Entropy and Multiobjective Optimization for Hydrometric Network Design Problems: EnDEMO.   Entropy, 21(10): 947. DOI:10.3390/e21100947

DARBANDSARI, P., COULIBALY, P. (2019). Inter-Comparison of Different Bayesian Model Averaging Modifications in Streamflow Prediction.   Water, 11(8): 1707. DOI:10.3390/w11081707

REQUENA, A.I., BURN, D.H., COULIBALY, P. (2019). Estimates of Gridded Relative Changes in 24-h Extreme Rainfall Intensities Based on Pooled Frequency Analysis.   Journal of Hydrology, DOI:10.1016/j.jhydrol.2019.123940

ZAHMATKESH, Z., TAPSOBA, D., LEACH, J.M., COULIBALY, P. (2019). Evaluation and Bias-correction of SNODAS SWE for Streamflow Simulation in Eastern Canadian Basins.   Hydrological Sciences Journal, https://doi.org/10.1080/02626667.2019.1660780

DIBIKE, Y., EUM, H., COULIBALY, P., HARTMANN, J. (2019). Projected Changes in the Frequency of Peak Flows along the Athabasca River: Sensitivity of Results to Statistical Methods of Analysis.   Climate, 7(7): 88. DOI:10.3390/cli707008.

HAN, S., COULIBALY, P. Assessing the Effects of Input and Model Type on Bayesian Ensemble Uncertainty Processor.   Advances in Water Resources, Submitted June 2019.

ZAHMATKESH, Z., JHA, S.K., COULIBALY, P., STADNYK, T. (2019). An overview of river flood forecasting procedures used in Canadian watershed.   Canadian Water Resources Journal, https://doi.org/10.1080/07011784.2019.1601598

REQUENA, A.I., BURN, D.H., COULIBALY, P. (2019). Pooled frequency analysis for intensity-duration-frequency curve estimation.   Hydrological Processes, DOI:10.1002/hyp.13456

HAN, S., COULIBALY, P. (2019). Probabilistic Flood Forecasting Using Hydrologic Uncertainty Processor with Ensemble Weather Forecasts.   Journal of Hydrometeorology, 20(7): 1379-1398. https://doi.org/10.1175/JHM-D-18-0251.1

HAN, S., COULIBALY, P., BIONDI, D. (2019). Assessing Hydrologic Uncertainty Processor Performance for Flood Forecasting in a Semiurban Watershed.   Journal of Hydrologic Engineering, 24(9): 05019025. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001828

GANGULI, P., COULIBALY, P. (2019). Assessment of future changes in intensity-duration-frequency curves for Southern Ontario using North American (NA)-CORDEX models with nonstationary methods   Journal of Hydrology: Regional Studies, 22, 100587: DOI:10.1016/j.ejrh.2018.12.007.

WIJAYARATHNE, D.B., COULIBALY, P. Identification of hydrological models for operational flood forecasting in St. John's, Newfoundland, Canada.   Journal of Hydrology: Regional Studies, Submitted March 2019.

MUHAMMAD, A., EVENSON, G.R., STADNYK, T.A., BOLUWADE, A., JHA, S.K., COULIBALY, P. (2018). Assessing the Importance of Potholes in the Canadian Prairie Region under Future Climate Change Scenarios.   Water, 10(11), 1657: DOI:10.3390/w10111657.

MUHAMMAD, A., STADNYK, T.A., UNDUCHE, F., COULIBALY, P. (2018). Multi-Model Approaches for Improving Seasonal Ensemble Streamflow Prediction Scheme with Various Statistical Post-Processing Techniques in the Canadian Prairie Region.   Water, 10(11), 1604: DOI:10.3390/w10111604.

LEACH, J.M., KORNELSEN, K.C., COULIBALY, P. (2018). Assimilation of near-real time data products into models of an urban basin.   Journal of Hydrology, 563: 51-64. https://doi.org/10.1016/j.jhydrol.2018.05.064.

AWOL, F.S., COULIBALY, P., TOLSON, B.A. (2018). Event-based model calibration approaches for selecting representative distributed parameters in semi-urban watersheds.   Advances in Water Resources, https://doi.org/10.1016/j.advwatres.2018.05.013.

KEUM, J., COULIBALY, P., RAZAVI, T., TAPSOBA, D., GOBENA, A., WEBER, F., PIETRONIRO, A. (2018). Application of SNODAS and hydrologic models to enhance entropy-based snow monitoring network design.   Journal of Hydrology, 561: 688-701. https://doi.org/10.1016/j.jhydrol.2018.04.037.

JHA, S.K, SHRESTHA, D.L., STADNYK, T. A., COULIBALY, P. (2018). Evaluation of ensemble precipitation forecasts generated through post-processing in a Canadian catchment. Hydrology and Earth Systems Sciences, 22: 1957-1969. DOI:10.5194/hess-22-1957-2018.

WERSTUCK, C.A., COULIBALY, P. (2018). Assessing Spatial Scale Effects on Hydrometric Network Design Using Entropy and Multi-objective Methods.  Journal of the American Water Resources Association, 54(1): 275-286. DOI:10.1111/1752-1688.12611.

GANGULI, P., COULIBALY, P. (2017). Does nonstationarity in rainfall require nonstationary intensity-duration-frequency curves?   Hydrology and Earth System Sciences, 21: 6461-6483. https://doi.org/10.5194/hess-21-6461-2017.

KEUM, J., KORNELSEN, K.C., LEACH, J.M., COULIBALY, P. (2017). Entropy Applications for Water Monitoring Network Design: A Review.   Entropy, 19(11): 613. DOI:10.3390/e19110613.

SWITZMAN, H., SALEM, B., GAD, M., ADEEL, Z., COULIBALY, P. (2017). Conservation planning as an adaptive strategy for climate change and groundwater depletion in Wadi El Natrun, Egypy.   Hydrogeology Journal, DOI:10.1007/s10040-017-1669-y.

KEUM, J., COULIBALY, P. (2017). Information theory-based decision support system for integrated design of multivariable hydrometric networks.   Water Resources Research, 53. DOI:10.1002/2016WR019981.

SWITZMAN, H., RAZAVI, T., TRAORE, S., COULIBALY, P., BURN, D.H., HENDERSON, J., FAUSTO, E., NESS, R. (2017). Variability of Future Extreme Rainfall Statistics: Comparison of Multiple IDF Projections.   Journal of Hydrologic Engineering, 22(10):04017046. DOI:10.1061/(ASCE)HE.1943-5584.0001561.

HAN, S., COULIBALY, P. (2017). Bayesian Flood Forecasting Methods: A Review.  Journal of Hydrology. DOI:10.1016/j.jhydrol.2017.06.004.

KEUM, J., COULIBALY, P. (2017). Sensitivity of Entropy Method to Time Series Lengths in Hydrometric Network Design.  Journal of Hydrologic Engineering. DOI:10.1061/(ASCE)HE.1943-5584.0001508.

PAN, X., KORNELSEN, K.C., COULIBALY, P. (2017). Estimating Root Zone Soil Moisture at Continental-Scale using Neural Networks.  Journal of the American Water Resources Association, 53(1): 220-237. DOI:10.1111/1752-1688.12491.

WERSTUCK, C.A., COULIBALY, P. (2016). Hydrometric Network Design Using Dual Entropy Multi-Objective Optimization in the Ottawa River Basin.  Hydrology Research, 48(6): 1639-1651. DOI:10.2166/nh.2016.344.

LEACH, J.M., COULIBALY, P., GUO, Y. (2016). Entropy based groundwater monitoring network design considering spatial distribution of annual recharge.  Advances in Water Resources, 96: 108-119. DOI:10.1016/j.advwatres.2016.07.006.

RAZAVI, T., SWITZMAN, H., ARAIN, A., COULIBALY, P. (2016). Regional climate change trends and uncertainty analysis using extreme indicies: A case study of Hamilton, Canada.  Climate Risk Management, DOI:10.1016/j.crm.2016.06.002.

RAZAVI, T., COULIBALY, P. (2016). An evaluation of regionalization and watershed classification schemes for continous daily streamflow prediction in ungauged watersheds.  Canadian Water Resources Journal / Revue canadienne des ressources hydriques, DOI:10.1080/07011784.2016.1184590.

KORNELSEN, K.C., DAVISON, B., COULIBALY, P. (2016). Application of SMOS Soil Moisture and Brightness Temperature at High Resolution With a Bias Correction Operator.  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(4): 1590-1605. DOI:10.1109/JSTARS.2015.2474266.

RAZAVI, T., COULIBALY, P. (2016). Improving Streamflow Estimation in Ungauged Basins using Multi-Modelling Approach.  Hydrological Sciences Journal, DOI:10.1080/02626667.2016.1154558.

ADAMS, M.D., KANAROGLOU, P.S., COULIBALY, P. (2016). Spatially constrained clustering of ecological units to facilitate the design of integrated water monitoring networks in the St. Lawrence Basin.  International Journal of Geographical Information Science, 30(2): 390-404. DOI:10.1080/13658816.2015.1089442.

KORNELSEN, K., COULIBALY, P. (2015). Reducing Multiplicative Bias of Satellite Soil Moisture Retrievals.  Remote Sensing of Environment, 165(1): 109-122. DOI:10.1016/j.rse.2015.04.031

LEACH, J.M., KORNELSEN, K.C., SAMUEL, J., COULIBALY, P. (2015). Hydrometric network design using streamflow signatures and indicators of hydrologic alteration.  Journal of Hydrology, 529: 1350-1359. DOI:10.1016/j.jhydrol.2015.08.048.

KORNELSEN, K., COULIBALY, P. (2015). Design of an Optimal Soil Moisture Monitoring Network using SMOS Retrieved Soil Moisture.  IEEE Transactions on Geoscience and Remote Sensing, 53(7): 3950-3959.

KORNELSEN, K., COSH, M.H., COULIBALY, P. (2015). Potential of bias correction for downscaling passive microwave and soil moisture data.  Journal of Geophysical Research, 120(13): 6460-6479.

SWITZMAN, H., COULIBALY, P., ADEEL, Z. (2015). Modeling the Impacts of Dryland Agricultural Reclamation on Groundwater Resources in Northern Egypt Using Sparse Data.  Journal of Hydrology, 520: 420-438.

MISHRA A.K., COULIBALY, P. (2014). Variability in Canadian seasonal streamflow information and its implication for hydrometric network design.  ASCE Journal of Hydrologic Engineering, 19(8). DOI:10.1061/(ASCE)HE.1943-5584.0000971.

SAMUEL, J., COULIBALY, P., DUMEDAH, G., MORADKHANI, H. (2014). Assessing model state and forecasts variation in hydrologic data assimilation.  Journal of Hydrology, 513: 127-141.

KORNELSEN, K., COULIBALY, P. (2014c). Root-zone soil moisture estimation using data-driven methods.  Water Resources Research, 50(4): 2946-2962.

DUMEDAH, G., COULIBALY, P. (2014a). Evaluating forecasting performance for data assimilation methods: Ensemble Kalman Filter, Particle Filter, and Evolutionary-based assimilation. Advances in Water Resources, 60: 47-63.

AHMED, S., COULIBALY, P., TSANIS, I. (2014). Improved spring peak flow forecasting using ensemble meteorological predictions. ASCE Journal of Hydrologic Engineering. DOI:10.1061/(ASCE)HE.1943-5584.0001014.

KORNELSEN, K., COULIBALY, P. (2014a). Synthesis Review on Groundwater Discharge to Surface Water in the Great Lakes Basin.  Journal of Great Lakes Research, 40(2): 247-256.

DUMEDAH, G., COULIBALY, P. (2014b). Examining the differences in streamflow estimation for gauged and ungauged watersheds using the Evolutionary Data Assimilation. Journal of Hydroinformatics. DOI:10.2166/hydro.2013.193.

KORNELSEN, K., COULIBALY, P. (2014b). Comparison of interpolation, statistical and data-driven methods for imputation of missing values in a distributed soil moisture dataset. ASCE Journal of Hydrologic Engineering, 19(1): 26-43.

SAMUEL, J., COULIBALY, P., KOLLAT, J. (2013). CRDEMO: Combined Regionalization and Dual Entropy-Multiobjective Optimization for Hydrometric Network Design. Water Resources Research, 49: 8070-8089

KORNELSEN, K., and COULIBALY P. (2013a). Advances in soil moisture retrieval from synthetic aperture radar and hydrological applications. Journal of Hydrology, 476 (7): 460-489.

KORNELSEN, K., COULIBALY P. (2013b). McMaster Mesonet soil moisture dataset: description and spatio-temporal variability analysis. Hydrology Earth System Science 17: 1589-1606.

DUMEDAH, G., COULIBALY, P. (2013). Integration of evolutionary algorithm into Ensemble Kalman Filter, and Particle Filter for hydrologic data assimilation.  Journal of Hydroinformatics, 16(1): 74-94.

RAZAVI, T., COULIBALY, P. (2013b) Classification of Ontario watersheds based on physical attributes and streamflow series. Journal of Hydrology, 493: 81-94.

RAZAVI, T., COULIBALY, P. (2013a). Streamflow prediction in ungauged basins: Review of regionalization methods. ASCE Journal of Hydrologic Engineering, 8(8): 958-975.

COULIBALY, P., SAMUEL, J., PIETRONIRO, A., HARVEY, D. (2013). Evaluation of Canadian National Hydrometric Network Density Based on WMO 2008 Standards. Canadian Water Resources Journal, 38(2): 159-167.

DUMEDAH, G., and COULIBALY, P. (2012b). Evolutionary assimilation of streamflow in distributed hydrologic modeling using in-situ soil moisture data. Advances in Water Resources, 53: 231-241.

DUMEDAH G. and COULIBALY, P. (2012a). Integration of evolutionary based assimilation into Kalman-type methods for streamflow simulations in ungauged watersheds.  Journal of Hydrology, 475: 428-440

ABRAHART, R.J., ANCTIL, F., COULIBALY, P., DAWSON C.W., MOUNT, N.J., SEE, L.M., SHAMSELDIN, A.Y., SOLOMATINE, D.P., TOTH, E., WILBY, R.L. (2012). Two decades of anarchy? Emerging themes and outstanding challenges for neural network modelling of surface hydrology. Progress in Physical Geography, 36 (4): 480-513.

SAMUEL, J., COULIBALY, P., METCALFE, R. (2012). Evaluation of future flow variability in un-gauged basins: Validation of combined methods. Advances in Water Resources, 35: 121-140.

SAMUEL, J., COULIBALY, P., METCALFE, R. (2011). Identification of rainfall-runoff model for improved baseflow estimation in ungauged basins.  Hydrological Processes, DOI: 10.1002/hyp.8133.

LIU, X., and COULIBALY, P. (2011). Downscaling ensemble weather predictions for improved week-2 hydrologic forecasting.  Journal of Hydrometeorology, 12, 1564-1580; DOI:http://dx.doi.org/10.1175/2011JHM1366.1

SHARMA, M., COULIBALY, P., DIBIKE, Y. B. (2011). Assessing the need for downscaling RCM data for hydrologic impact study. ASCE Journal of Hydrologic Engineering 16(6): 534-539.

SAMUEL, J., COULIBALY, P., METCALFE, R. (2011). Estimation of continuous streamflow in Ontario ungauged basins: Comparison of regionalization methods. ASCE Journal of Hydrologic Engineering 16: 447-459

DUMEDAH, G. and COULIBALY, P. (2011). Evaluation of statistical methods for infilling missing values in high-resolution soil moisture data.  Journal of Hydrology 400: 95-102.

SULTANA, Z. and COULIBALY, P. (2011). Distributed modeling of future changes in hydrological processes of Spencer Creek watershed. Hydrological Processes, 25(8): 1254-1270.

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.

COULIBALY, P., BABOVIC, V., CLUCKIE, I., MYNETT, A., BALL, J. (2009). Preface: Advances in Hydroinformatics. Special Issue of the Journal of Hydroinformatics, 11(3-4).

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). Application of Support Vector Machine in Lake Water Level Prediction. ASCE Journal of Hydrologic Engineering, 11(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: 827-840.

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.

COULIBALY, P. and BURN, D.H. (2005). Spatial and temporal variability of Canadian seasonal streamflows.  Journal of Climate, 18(1), 191-210.

COULIBALY, P. and BALDWIN C.K. (2005). Nonstationary hydrological time series forecasting using nonlinear dynamic methods. Journal of Hydrology, 307(1-4), 164-174.

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]

DALIAKOPOULOS, I.N., COULIBALY, P., TSANIS, I.K. (2005). Groundwater level forecasting using artificial neural networks. Journal of Hydrology, 309, 229-240.

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. (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.

ANCTIL, F. and COULIBALY, P. (2004). Wavelet analysis of the interannual variability in Southern Quebec streamflow. Journal of Climate, 17(1), 163-173.

COULIBALY, P. (2003). Impact of meteorological predictions on real-time spring flow forecasting.  Hydrological Processes, 17(18), 3791-3801.

COULIBALY, P., ANCTIL, F. and BOBÉE, B. (2001). Multivariate reservoir inflow forecasting using temporal neural networks.  ASCE Journal of Hydrologic Engineering, 6(5), 367-376.

COULIBALY, P., ANCTIL, F., ARAVENA, R. and BOBÉE, B. (2001). Artificial neural network  modeling of water table depth fluctuations.  Water Resources Research, 37(4), 885-896.

COULIBALY, P., BOBÉE, B. and ANCTIL, F. (2001). Improving extreme hydrologic events forecasting using a new criterion for ANN selection.  Hydrological Processes, 15(8), 1533-1536.

COULIBALY, P., ANCTIL, F. and BOBÉE, B. (2000). Daily reservoir inflow forecasting using artificial neural networks with stopped training approach.  Journal of Hydrology, 230(3-4), 244-257.

COULIBALY, P., ANCTIL, F., RASMUSSEN, P.F. and BOBÉE, B. (2000).  A recurrent neural networks approach using indices of low-frequency climatic variability to forecast annual runoff. Special Issue of Hydrological Processes, 14(15), 2755-2777.

COULIBALY, P., ANCTIL, F. and BOBÉE, B. (2000). Neural network-based long-term hydropower forecasting system.  Computer-Aided Civil and Infrastructure Engineering, 15(5), 355-364.

COULIBALY, P., ANCTIL, F. and BOBÉE, B. (1999). Hydrological forecasting using artificial neural networks: The state of the art (in French). Canadian Journal of Civil Engineering, 26(3), 293-304.

 

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Reports

COULIBALY, P. and KEUM, J. (2016). Hydrometric network design using dual entropy and multobjective optimiation combined with a distributed hydrologic model, MESH. Project Report, Prepared for Environment and Climate Change Canada, 32 pages.

COULIBALY, P. and WERSTUCK, C.A. (2016). Design of optimum hydrometric network for Ottawa River basin and Madawaska watershed. Project Report, Prepared for Ontario Power Generation, 39 pages.

COULIBALY, P. and KEUM, J. (2016). Snow network design and evaluation for La Grande River basin. Project Report, Prepared for Hydro-Quebec, 47 pages.

COULIBALY, P., KORNELSEN, K., LEACH, J., and SAMUEL, J. (2013). Hydrometric network design using Indicators of Hydrologic Alteration: Pilot case study. Project Report, Prepared for Water Survey Canada, 15 pages.

COULIBALY, P. and SAMUEL, J. (2013). Design of optimum snow monitoring networks using Dual Entropy Multiobjective Optimization (DEMO) with remote sensing data: Case study for Columbia River basin. Project Report, Prepared for BC-Hydro, 25 pages.

COULIBALY, P. and SAMUEL, J. (2011). Evaluation of Canadian National Hydrometric Network density vs. WMO 2008 Standards. Final Project Report, Prepared for Water Survey Canada, 20 pages.

MISHRA, A.K. and COULIBALY, P. (2008). Development in hydrometric network design and analysis of Canadian Hydrometric Networks. Final Project Report, Prepared for Ontario Ministry of Natural Resources (OMNR) and Environment Alberta, 148 pages.

COULIBALY, P. and Dibike, Y.B. (2004). Downscaling of Global climate Model Outputs for Flood Frequency Analysis in the Saguenay Rivers system. Final Project Report, Prepared for Environment Canada, 84 pages. [PDF]

 

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