Taha Ouarda

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Canada

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Professor Taha Ouarda is a faculty member at INRS-ETE in Canada. His research areas include climate risk management, energy poverty estimation, and machine learning applications in environmental science. His recent work involves advanced modeling of climate teleconnections, seasonal forecasting of wind speed, and assessing future drought risks, particularly in the Middle East. He employs innovative methodologies such as LSTM and neural networks to enhance climate projections and address energy demand challenges.

Recent Grants

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Climate and water in arid regions

Open Date: 2012-08-01

Close Date: 2015-08-01

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Collaborators (5)

Taesam Lee

Professor

Gyeongsang National University

SOUTH KOREA

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Ilias Hani

Institut national de la recherche scientifique

CANADA

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Marouane Temimi

Associate Professor

Stevens Institute of Technology

UNITED STATES

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André St-Hilaire

Professor

INRS Eau Terre Environnement

CANADA

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Eric Gaume

Head of department

Université Gustave Eiffel

FRANCE

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Taha Ouarda

Research Interests

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About

Recent Grants

Articles (20)

Trends, teleconnections and nonstationary frequency modeling of riverine heatwaves in North American Atlantic salmon rivers (1979–2100)

Climate teleconnection-driven stochastic simulation for future water-related risk management

LSTM and Transformer-based framework for bias correction of ERA5 hourly wind speeds

Measuring energy poverty by estimating the income elasticity of energy demand: An application to Kazakhstan

Ensemble of Artificial Neural Networks for Seasonal Forecasting of Wind Speed in Eastern Canada

Stochastic generator for rainfall with a Hawkes process marked by an extended generalized Pareto and a vine copula

Drought risks are projected to increase in the future in central and southern regions of the Middle East

Developing an ensemble machine learning framework for enhanced climate projections using CMIP6 data in the Middle East

An interpretable machine learning model for seasonal precipitation forecasting

Machine learning and statistical approaches for wind speed estimation at partially sampled and unsampled locations; review and open questions

Assessing the National Water Model’s Streamflow Estimates Using a Multi-Decade Retrospective Dataset across the Contiguous United States

Machine‐learning modeling of hourly potential thermal refuge area: A case study from the Sainte‐Marguerite River (Quebec, Canada)

Trends, Shifting, or Oscillations? Stochastic Modeling of Nonstationary Time Series for Future Water‐Related Risk Management

Comparative study of feature selection methods for wind speed estimation at ungauged locations

Extreme Sea Level Estimation Combining Systematic Observed Skew Surges and Historical Record Sea Levels

Data-Enhancement Strategies in Weather-Related Health Studies

A Non-Stationary Heat Spell Frequency, Intensity, and Duration Model for France, Integrating Teleconnection Patterns and Climate Change

Climate teleconnections, interannual variability, and evolution of the rainfall regime in a tropical Caribbean island: case study of Barbados

Uncertainty of stationary and nonstationary models for rainfall frequency analysis

A Network Approach for Delineating Homogeneous Regions in Regional Flood Frequency Analysis

Collaborators (5)

Taesam Lee

Ilias Hani

Marouane Temimi

André St-Hilaire

Eric Gaume

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