P. Coulibaly

发表

Application of Support Vector Machine in Lake Water Level Prediction

MohammadSajjad Khan, P. Coulibaly, 2006 .

Bayesian neural network for rainfall‐runoff modeling

Paulin Coulibaly, Mohammad Sajjad Khan, MohammadSajjad Khan, 2006 .

Multivariate Reservoir Inflow Forecasting Using Temporal Neural Networks

B. Bobée, P. Coulibaly, F. Anctil, 2001 .

Improving extreme hydrologic events forecasting using a new criterion for artificial neural network selection

B. Bobée, P. Coulibaly, F. Anctil, 2001 .

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

P. Coulibaly, Y. Dibike, 2005 .

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

P. Coulibaly, F. Anctil, R. Abrahart, 2012 .

Downscaling daily extreme temperatures with genetic programming

Paulin Coulibaly, P. Coulibaly, 2004 .

Comparison of neural network methods for infilling missing daily weather records

Paulin Coulibaly, P. Coulibaly, N. Évora, 2007 .

Assessing Hydrologic Impact of Climate Change with Uncertainty Estimates: Bayesian Neural Network Approach

Paulin Coulibaly, MohammadSajjad Khan, P. Coulibaly, 2010 .

Seasonal reservoir inflow forecasting with low-frequency climatic indices: a comparison of data-driven methods

Paulin Coulibaly, Getnet Y. Muluye, P. Coulibaly, 2007 .

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

P. Coulibaly, R. Metcalfe, J. Samuel, 2011 .

Assessing model state and forecasts variation in hydrologic data assimilation

Gift Dumedah, Paulin Coulibaly, Hamid Moradkhani, 2014 .

An evaluation of regionalization and watershed classification schemes for continuous daily streamflow prediction in ungauged watersheds

P. Coulibaly, T. Razavi, 2017 .

Evaluation of ensemble precipitation forecasts generated through post-processing in a Canadian catchment

P. Coulibaly, D. Shrestha, T. Stadnyk, 2017 .

Entropy based groundwater monitoring network design considering spatial distribution of annual recharge

James M. Leach, P. Coulibaly, Yiping Guo, 2016 .

Improving streamflow estimation in ungauged basins using a multi-modelling approach

P. Coulibaly, T. Razavi, 2016 .

CRDEMO: Combined regionalization and dual entropy‐multiobjective optimization for hydrometric network design

P. Coulibaly, J. Kollat, J. Samuel, 2013 .

Downscaling Precipitation and Temperature with Temporal Neural Networks

P. Coulibaly, F. Anctil, Y. Dibike, 2005 .

Pooled frequency analysis for intensity–duration–frequency curve estimation

P. Coulibaly, D. Burn, A. I. Requena, 2019, Hydrological Processes.

Technical guidelines for future intensity–duration–frequency curve estimation in Canada

P. Coulibaly, D. Burn, A. I. Requena, 2021 .

Estimates of gridded relative changes in 24-h extreme rainfall intensities based on pooled frequency analysis

P. Coulibaly, D. Burn, A. I. Requena, 2019, Journal of Hydrology.

Does nonstationarity in rainfall require nonstationary intensity–duration–frequency curves?

P. Coulibaly, Poulomi Ganguli, 2017 .

Variability of Future Extreme Rainfall Statistics: Comparison of Multiple IDF Projections

P. Coulibaly, D. Burn, T. Razavi, 2017 .

TDNN with logical values for hydrologic modeling in a cold and snowy climate

P. Coulibaly, Y. Dibike, 2008 .

Integration of an evolutionary algorithm into the ensemble Kalman filter and the particle filter for hydrologic data assimilation

P. Coulibaly, G. Dumedah, 2014 .

Evolutionary assimilation of streamflow in distributed hydrologic modeling using in-situ soil moisture data

P. Coulibaly, G. Dumedah, 2013 .

Evaluating the Dependence between Temperature and Precipitation to Better Estimate the Risks of Concurrent Extreme Weather Events

P. Gachon, P. Coulibaly, M. A. Arain, 2020 .

Evaluation of Canadian National Hydrometric Network density based on WMO 2008 standards

P. Coulibaly, A. Pietroniro, J. Samuel, 2013 .

Root‐zone soil moisture estimation using data‐driven methods

P. Coulibaly, K. C. Kornelsen, 2014 .

Estimating Root Zone Soil Moisture at Continental Scale Using Neural Networks

P. Coulibaly, K. C. Kornelsen, Xiaojun Pan, 2017 .

Artificial neural network modeling of water table depth fluctuations

B. Bobée, P. Coulibaly, F. Anctil, 2001 .

Wavelet Analysis of the Interannual Variability in Southern Quebec Streamflow

Paulin Coulibaly, François Anctil, P. Coulibaly, 2004 .

Wavelet analysis of variability in annual Canadian streamflows

Paulin Coulibaly, Donald H. Burn, P. Coulibaly, 2004 .

Spatial and Temporal Variability of Canadian Seasonal Streamflows

Paulin Coulibaly, Donald H. Burn, P. Coulibaly, 2005 .

Spatial and temporal variability of Canadian seasonal precipitation (1900–2000)

Paulin Coulibaly, P. Coulibaly, 2006 .

Streamflow Prediction in Ungauged Basins: Review of Regionalization Methods

Paulin Coulibaly, P. Coulibaly, T. Razavi, 2013 .

Uncertainty analysis of statistical downscaling methods

Paulin Coulibaly, Yonas Dibike, MohammadSajjad Khan, 2006 .

A recurrent neural networks approach using indices of low-frequency climatic variability to forecast regional annual runoff.

Paulin Coulibaly, François Anctil, B. Bobée, 2000 .

Assessing the Importance of Potholes in the Canadian Prairie Region under Future Climate Change Scenarios

P. Coulibaly, G. Evenson, T. Stadnyk, 2018, Water.

Impact of model structure on the accuracy of hydrological modeling of a Canadian Prairie watershed

P. Coulibaly, G. Evenson, T. Stadnyk, 2019, Journal of Hydrology: Regional Studies.

Assimilation of near-real time data products into models of an urban basin

Paulin Coulibaly, Kurt C. Kornelsen, James M. Leach, 2018 .

Comparison of Interpolation, Statistical, and Data-Driven Methods for Imputation of Missing Values in a Distributed Soil Moisture Dataset

Paulin Coulibaly, Kurt C. Kornelsen, P. Coulibaly, 2014 .

Examining differences in streamflow estimation for gauged and ungauged catchments using evolutionary data assimilation

P. Coulibaly, G. Dumedah, 2014 .

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

Paulin Coulibaly, Kurt C. Kornelsen, P. Coulibaly, 2013 .

Evaluation of Radar Quantitative Precipitation Estimates (QPEs) as an Input of Hydrological Models for Hydrometeorological Applications

P. Coulibaly, D. Wijayarathne, D. Sills, 2020 .

An overview of river flood forecasting procedures in Canadian watersheds

P. Coulibaly, Z. Zahmatkesh, T. Stadnyk, 2019, Canadian Water Resources Journal / Revue canadienne des ressources hydriques.

McMaster Mesonet soil moisture dataset: description and spatio-temporal variability analysis

P. Coulibaly, K. C. Kornelsen, 2012 .

Evaluation of statistical methods for infilling missing values in high-resolution soil moisture data

Gift Dumedah, Paulin Coulibaly, P. Coulibaly, 2011 .

Dynamic Neural Networks for Nonstationary Hydrological Time Series Modeling

P. Coulibaly, C. K. Baldwin, 2009 .

Application of weather Radar for operational hydrology in Canada – a review

P. Coulibaly, D. Wijayarathne, 2020 .

Evaluation of Radar-Gauge Merging Techniques to Be Used in Operational Flood Forecasting in Urban Watersheds

P. Coulibaly, D. Wijayarathne, D. Sills, 2020 .

Integration of evolutionary based assimilation into Kalman-type methods for streamflow simulations in ungauged watersheds

Gift Dumedah, Paulin Coulibaly, P. Coulibaly, 2012 .

Synthesis review on groundwater discharge to surface water in the Great Lakes Basin

P. Coulibaly, K. C. Kornelsen, 2014 .

Potential of bias correction for downscaling passive microwave and soil moisture data

Michael H. Cosh, Paulin Coulibaly, Kurt C. Kornelsen, 2015 .

Uncertainty analysis of statistical downscaling methods using Canadian Global Climate Model predictors

Paulin Coulibaly, Yonas B. Dibike, MohammadSajjad Khan, 2006 .

Revisiting flood peak distributions: A pan-Canadian investigation

P. Coulibaly, A. Elshorbagy, S. Papalexiou, 2020 .

Classification of Ontario watersheds based on physical attributes and streamflow series

Paulin Coulibaly, P. Coulibaly, T. Razavi, 2013 .

Flood Inundation Mapping in an Ungauged Basin

P. Coulibaly, I. Tsanis, Konstantinos D. Seiradakis, 2020, Water.

Evaluation and bias correction of SNODAS snow water equivalent (SWE) for streamflow simulation in eastern Canadian basins

James M. Leach, P. Coulibaly, Z. Zahmatkesh, 2019, Hydrological Sciences Journal.

Improved Spring Peak-Flow Forecasting Using Ensemble Meteorological Predictions

P. Coulibaly, I. Tsanis, Sadik Ahmed, 2015 .

Reducing multiplicative bias of satellite soil moisture retrievals

P. Coulibaly, K. C. Kornelsen, 2015 .

Atmospheric circulation amplifies shift of winter streamflow in southern Ontario

P. Coulibaly, M. A. Arain, Olivier Champagne, 2019, Journal of Hydrology.

Projected Changes in the Frequency of Peak Flows along the Athabasca River: Sensitivity of Results to Statistical Methods of Analysis

P. Coulibaly, Y. Dibike, H. Eum, 2019, Climate.

Future shift in winter streamflow modulated by the internal variability of climate in southern Ontario

P. Coulibaly, M. A. Arain, M. Leduc, 2020, Hydrology and Earth System Sciences.

Future shift in winter streamflow modulated by internal variability of climate in southern Ontario

P. Coulibaly, M. Leduc, A. Arain, 2019 .

Regional climate change trends and uncertainty analysis using extreme indices: A case study of Hamilton, Canada

P. Coulibaly, A. Arain, T. Razavi, 2016 .

Inter-comparison of lumped hydrological models in data-scarce watersheds using different precipitation forcing data sets: Case study of Northern Ontario, Canada

P. Coulibaly, Pedram Darbandsari, 2020 .

Introducing entropy-based Bayesian model averaging for streamflow forecast

P. Coulibaly, Pedram Darbandsari, 2020 .

Inter-Comparison of Different Bayesian Model Averaging Modifications in Streamflow Simulation

P. Coulibaly, Pedram Darbandsari, 2019, Water.

Supplement of Does nonstationarity in rainfall require nonstationary intensity–duration–frequency curves?

P. Coulibaly, Poulomi Ganguli, 2017 .

Hydrometric network design using streamflow signatures and indicators of hydrologic alteration

James M. Leach, P. Coulibaly, J. Samuel, 2015 .

Probabilistic Flood Forecasting Using Hydrologic Uncertainty Processor with Ensemble Weather Forecasts

P. Coulibaly, Shasha Han, 2019, Journal of Hydrometeorology.

Application of SNODAS and hydrologic models to enhance entropy-based snow monitoring network design

P. Coulibaly, A. Pietroniro, F. Weber, 2018 .

Soil moisture assimilation in urban watersheds: A method to identify the limiting imperviousness threshold based on watershed characteristics

James M. Leach, P. Coulibaly, 2020 .

An extension of data assimilation into the short-term hydrologic forecast for improved prediction reliability

James M. Leach, P. Coulibaly, 2019 .

Identification of rainfall–runoff model for improved baseflow estimation in ungauged basins

P. Coulibaly, R. Metcalfe, J. Samuel, 2012 .

Multi-Model Approaches for Improving Seasonal Ensemble Streamflow Prediction Scheme with Various Statistical Post-Processing Techniques in the Canadian Prairie Region

P. Coulibaly, T. Stadnyk, Ameer Muhammad, 2018, Water.

Data-Driven Community Flood Resilience Prediction

Moustafa Naiem Abdel-Mooty, P. Coulibaly, W. El-Dakhakhni, 2022, Water.

Assessment of future changes in intensity-duration-frequency curves for Southern Ontario using North American (NA)-CORDEX models with nonstationary methods

P. Coulibaly, Poulomi Ganguli, 2017, Journal of Hydrology: Regional Studies.

ASSESSING THE IMPACT OF METEOROLOGICAL PREDICTIONS ON STREAMFLOW FORECASTING USING ANN

P. Coulibaly, N. Évora, 2004 .

P. Coulibaly, E. Toth, M. Neri, 2022, Journal of Hydrology.

Modeling the impacts of dryland agricultural reclamation on groundwater resources in Northern Egypt using sparse data

P. Coulibaly, Harris Switzman, Z. Adeel, 2015 .

Use of Radar Quantitative Precipitation Estimates (QPEs) for Improved Hydrological Model Calibration and Flood Forecasting

P. Coulibaly, D. Wijayarathne, D. Sills, 2021, Journal of Hydrometeorology.

Forecasting High-Flow Discharges in a Flashy Catchment Using Multiple Precipitation Estimates as Predictors in Machine Learning Models

Andre D. L. Zanchetta, P. Coulibaly, V. Fortin, 2022, Hydrology.

Assessing the Effect of Streamflow Estimation at Potential Station Locations In Entropy-Based Hydrometric Network Design

P. Coulibaly, A. Pietroniro, J. Keum, 2018 .

Conservation planning as an adaptive strategy for climate change and groundwater depletion in Wadi El Natrun, Egypt

P. Coulibaly, Harris Switzman, B. Salem, 2018, Hydrogeology Journal.

Groundwater level forecasting using artificial neural networks

Paulin Coulibaly, Ioannis K. Tsanis, Ioannis N. Daliakopoulos, 2005 .

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

Bernard Bobée, Paulin Coulibaly, François Anctil, 2000 .

Community Flood Resilience Categorization Framework

Paulin Coulibaly, Ahmed Yosri, Wael El-Dakhakhni, 2021, International Journal of Disaster Risk Reduction.

Integration of hydrological models with entropy and multi-objective optimization based methods for designing specific needs streamflow monitoring networks

Jacob Ursulak, Paulin Coulibaly, P. Coulibaly, 2021 .

Assessing Spatial Scale Effects on Hydrometric Network Design Using Entropy and Multi‐objective Methods

Paulin Coulibaly, Connor Werstuck, P. Coulibaly, 2018 .

Information theory‐based decision support system for integrated design of multivariable hydrometric networks

Paulin Coulibaly, Jongho Keum, P. Coulibaly, 2017 .

Sensitivity of Entropy Method to Time Series Length in Hydrometric Network Design

Paulin Coulibaly, Jongho Keum, P. Coulibaly, 2017 .

Design of an Optimal Soil Moisture Monitoring Network Using SMOS Retrieved Soil Moisture

Paulin Coulibaly, Kurt C. Kornelsen, P. Coulibaly, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Variability in Canadian Seasonal Streamflow Information and Its Implication for Hydrometric Network Design

Paulin Coulibaly, Ashok K. Mishra, P. Coulibaly, 2014 .

Hydrometric network evaluation for Canadian watersheds

Paulin Coulibaly, Ashok K. Mishra, P. Coulibaly, 2010 .

Developments in hydrometric network design: A review

Paulin Coulibaly, Ashok K. Mishra, P. Coulibaly, 2009 .

Identification of Hydrological Models for Enhanced Ensemble Reservoir Inflow Forecasting in a Large Complex Prairie Watershed

P. Coulibaly, I. Tsanis, Awol, 2019, Water.

Hybrid Surrogate Model for Timely Prediction of Flash Flood Inundation Maps Caused by Rapid River Overflow

Andre D. L. Zanchetta, P. Coulibaly, 2022, Forecasting.

Understanding Uncertainty in Probabilistic Floodplain Mapping in the Time of Climate Change

P. Coulibaly, Z. Zahmatkesh, Shasha Han, 2021, Water.

Artificial neural network modeling of apoptosis in gammairradiated human lymphocytes

Jonathan J. Liberda, P. Coulibaly, D. Boreham, 2005, International journal of radiation biology.

Entropy Applications to Water Monitoring Network Design: A Review

Paulin Coulibaly, Kurt C. Kornelsen, Jongho Keum, 2017, Entropy.

Validation of hydrological models for climate scenario simulation: the case of Saguenay watershed in Quebec

P. Coulibaly, Y. Dibike, 2007 .

Evaluation of Snowmelt Estimation Techniques for Enhanced Spring Peak Flow Prediction

P. Coulibaly, Jetal Agnihotri, 2020, Water.

Recent advances in data-driven modeling of remote sensing applications in hydrology

Paulin Coulibaly, Noel D. Evora, P. Coulibaly, 2009 .

Temporal neural networks for downscaling climate variability and extremes

Paulin Coulibaly, Yonas B. Dibike, P. Coulibaly, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Reservoir Computing approach to Great Lakes water level forecasting

Paulin Coulibaly, P. Coulibaly, 2010 .

Streamflow forecasting with uncertainty estimate using Bayesian learning for ANN

M.S. Khan, P. Coulibaly, MohammadSajjad Khan, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Assessing Hydrologic Uncertainty Processor Performance for Flood Forecasting in a Semiurban Watershed

P. Coulibaly, D. Biondi, Shasha Han, 2019, Journal of Hydrologic Engineering.

Recent Advances in Real-Time Pluvial Flash Flood Forecasting

Paulin Coulibaly, Andre D. L. Zanchetta, P. Coulibaly, 2020, Water.

Flood Early Warning Systems: A Review Of Benefits, Challenges And Prospects

P. Coulibaly, M. Rasmy, O. Seidou, 2019 .

Probabilistic Forecasts of Flood Inundation Maps Using Surrogate Models

Andre D. L. Zanchetta, P. Coulibaly, 2022, Geosciences.

Spatial and Temporal Variability of Canadian Seasonal Streamflo

P. Coulibaly, 2005 .

Application of SMOS Soil Moisture and Brightness Temperature at High Resolution With a Bias Correction Operator

Paulin Coulibaly, Bruce Davison, Kurt C. Kornelsen, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Nonstationary hydrological time series forecasting using nonlinear dynamic methods

Paulin Coulibaly, Connely K. Baldwin, P. Coulibaly, 2005 .

Assessing Climatic Drivers of Spring Mean and Annual Maximum Flows in Western Canadian River Basins

P. Coulibaly, Y. Dibike, R. Shrestha, 2021 .

Event-based model calibration approaches for selecting representative distributed parameters in semi-urban watersheds

Paulin Coulibaly, Bryan A. Tolson, Frezer Seid Awol, 2018, Advances in Water Resources.

Bayesian Flood Forecasting Methods: A Review

Paulin Coulibaly, Shasha Han, P. Coulibaly, 2017 .

Neural Network‐Based Long‐Term Hydropower Forecasting System

Bernard Bobée, Paulin Coulibaly, François Anctil, 2000 .

Identification of hydrological models for operational flood forecasting in St. John’s, Newfoundland, Canada

Paulin Coulibaly, P. Coulibaly, D. Wijayarathne, 2020 .

Identification of Combined Hydrological Models and Numerical Weather Predictions for Enhanced Flood Forecasting in a Semiurban Watershed

P. Coulibaly, I. Tsanis, F. S. Awol, 2021 .

A temporal downscaling approach for sub-daily gridded extreme rainfall intensity estimation under climate change

P. Coulibaly, D. Burn, V. Nguyen, 2021 .

Climate indices to characterize climatic changes across southern Canada

P. Coulibaly, M. A. Arain, H. Wazneh, 2019, Meteorological Applications.

The Canadian Surface Prediction Archive (CaSPAr): A Platform to Enhance Environmental Modeling in Canada and Globally

Juliane Mai, Paulin Coulibaly, François Anctil, 2017, Bulletin of the American Meteorological Society.

Evaluation of future flow variability in ungauged basins: Validation of combined methods

P. Coulibaly, R. Metcalfe, J. Samuel, 2012 .

Improving groundwater level forecasting with a feedforward neural network and linearly regressed projected precipitation

Paulin Coulibaly, Ioannis K. Tsanis, Ioannis N. Daliakopoulos, 2008 .

Ground-level ozone forecasting using data-driven methods

Paulin Coulibaly, Pavlos S. Kanaroglou, T. A. Solaiman, 2008 .

Winter hydrometeorological extreme events modulated by large-scale atmospheric circulation in southern Ontario

P. Coulibaly, M. A. Arain, M. Leduc, 2020 .

Winter hydrometeorological extreme events modulated by large scale atmospheric circulation in southern Ontario

P. Coulibaly, M. A. Arain, M. Leduc, 2019 .

A deep learning model for predicting climate-induced disasters

P. Coulibaly, E. Hassini, W. El-Dakhakhni, 2021, Natural Hazards.

Historical Spatial and Temporal Climate Trends in Southern Ontario, Canada

P. Coulibaly, M. A. Arain, H. Wazneh, 2017 .

Temporal neural networks for downscaling climate variability and extremes

P. Coulibaly, Y. Dibike, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Spatially constrained clustering of ecological units to facilitate the design of integrated water monitoring networks in the St. Lawrence Basin

Paulin Coulibaly, Matthew D. Adams, Pavlos S. Kanaroglou, 2016, Int. J. Geogr. Inf. Sci..

Downscaling Ensemble Weather Predictions for Improved Week-2 Hydrologic Forecasting

P. Coulibaly, Xiaoli Liu, 2011 .

Distributed modelling of future changes in hydrological processes of Spencer Creek watershed

P. Coulibaly, Z. Sultana, 2011 .

Assessing the Need for Downscaling RCM Data for Hydrologic Impact Study

P. Coulibaly, Y. Dibike, Manu Sharma, 2011 .

Evaluating forecasting performance for data assimilation methods: The ensemble Kalman filter, the particle filter, and the evolutionary-based assimilation

Gift Dumedah, Paulin Coulibaly, P. Coulibaly, 2013 .