SM
Member Since 2014
Simon Michael Papalexiou
Associate Professor, University of Calgary
AGU Research
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Investigating Catchment‐Scale Daily Snow Depths of CMIP6 in Canada
GEOPHYSICAL RESEARCH LETTERS
14 june 2024
Hebatallah Abdelmoaty, Abhishek Gaur, YANNIS MARKO...
Accurate modeling of snow depth (SD) processes is critical for understanding global energy balance changes, affecting climate change mitigation str...
Frequency Rather Than Intensity Drives Projected Changes of Rainfall Events in Brazil
EARTH'S FUTURE
25 january 2024
ANDRE BALLARIN, Edson Wendland, Masoud Zaerpour, S...
Extreme rainfall events are expected to intensify with global warming, posing significant challenges to both human and natural environments. Despit...
An Improved Copula‐Based Framework for Efficient Global Sensitivity Analysis
WATER RESOURCES RESEARCH
22 january 2024
Hongli Liu, Martyn P. Clark, Shervan Gharari, Razi...
Global sensitivity analysis (GSA) enhances our understanding of computational models and simplifies model parameter estimation. VarIance‐base...
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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Nonstationarity in High and Low‐Temperature Extremes: Insights From a Global Observational Data Set by Merging Extreme‐Value Methods
EARTH'S FUTURE
22 november 2023
Sofia Nerantzaki, Simon Michael Papalexiou, Chandr...
We merge classical extreme value methods to extract high (high temperatures (HT)) and low (low temperatures (LT)) temperatures and form time series...
The Impact of Meteorological Forcing Uncertainty on Hydrological Modeling: A Global Analysis of Cryosphere Basins
WATER RESOURCES RESEARCH
13 june 2023
Guoqiang Tang, Martyn P. Clark, Wouter Knoben, Hon...
Meteorological forcing is a major source of uncertainty in hydrological modeling. The recent development of probabilistic large‐domain meteor...