SM
Member Since 2014
Simon Michael Papalexiou
Associate Professor, University of Calgary
Simon Michael Papalexiou is an Associate Professor of Natural Hazards at the University of Calgary. He specializes in water and climate risks, developing advanced stochastic models to simulate hydroclimatic events like storms and improve risk estimates of extreme events. His work also employs data-driven methods to assess changes in climate extremes and refines techniques for local climate projections, enhancing the accuracy of uncertainty assessments.
Professional Experience
University of Calgary
Associate Professor
2023 - Present
University of Calgary
Assistant Professor
2021 - 2023
University of Saskatchewan
Assistant Professor
2018 - 2021
University of California Irvine
Research Associate
2016 - 2018
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Education
National Technical University of Athens (NTUA)
Doctorate
2014
Honors & Awards
Natural Hazards Early Career Award
Received December 2024
Outstanding Reviewer Award - Earth's Future
Received December 2023
Current Roles
Associate Editor
Water Resources Research
Publications
Investigating Catchment‐Scale Daily Snow Depths of CMIP6 in Canada
Accurate modeling of snow depth (SD) processes is critical for understanding global energy balance changes, affecting climate change mitigation str...
June 14, 2024
Frequency Rather Than Intensity Drives Projected Changes of ...
January 25, 2024
An Improved Copula‐Based Framework for Efficient Global Sens...
January 22, 2024
Nonstationarity in High and Low‐Temperature Extremes: Insigh...
November 22, 2023
AGU Abstracts
A Novel Semi-Parametric Quantile Mapping Approach for Precipitation Bias Correction
UTILIZING PRECIPITATION DATASETS AND QUANTIFYING ASSOCIATED UNCERTAINTIES IN HYDROMETEOROLOGICAL AND CLIMATE IMPACT APPLICATIONS II POSTER
hydrology | 14 december 2023
Chandra R. Rajulapati, Simon Michael Papalexiou
Climate models are developed to understand the historical climate and predict its future variability under various scenarios. These model simulations ...
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A new capability for geospatial probabilistic estimation to support Earth Science applications
UTILIZING PRECIPITATION DATASETS AND QUANTIFYING ASSOCIATED UNCERTAINTIES IN HYDROMETEOROLOGICAL AND CLIMATE IMPACT APPLICATIONS I ORAL
hydrology | 14 december 2023
Guoqiang Tang, Andrew W. Wood, Andrew J. Newman, M...
Ensemble meteorological datasets are critical for driving hydrology and land models so as to enabling uncertainty analysis and support a variety of hy...
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An Improved Copula-Based Framework for Efficient Global Sensitivity Analysis
SENSITIVITY, UNCERTAINTY, AND TESTING OF EARTH AND ENVIRONMENTAL MODELS I POSTER
hydrology | 12 december 2023
Hongli Liu, Martyn P. Clark, Shervan Gharari, Razi...
Global sensitivity analysis is a valuable technique used to gain deeper insights and estimate parameters in computational models. VISCOUS (VarIance-ba...
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Volunteer Experience
2018 - 2026
Associate Editor
Water Resources Research
Check out all of Simon Michael Papalexiou’s AGU Research!
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