E
Elisa Ragno
Researcher at Delft University of Technology
Publications - 28
Citations - 1228
Elisa Ragno is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Environmental science & Flooding (psychology). The author has an hindex of 9, co-authored 16 publications receiving 594 citations. Previous affiliations of Elisa Ragno include University of California, Irvine.
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Journal ArticleDOI
Climate Extremes and Compound Hazards in a Warming World
Amir AghaKouchak,Felicia Chiang,Laurie S. Huning,C. A. Love,Iman Mallakpour,Omid Mazdiyasni,Hamed Moftakhari,Simon Michael Papalexiou,Elisa Ragno,Mojtaba Sadegh +9 more
TL;DR: In this paper, the authors discuss the threats posed by climate extremes to human health, economic stability, and the well-being of natural and built environments (e.g., 2003 European heat wave).
Journal ArticleDOI
Increasing probability of mortality during Indian heat waves.
Omid Mazdiyasni,Amir AghaKouchak,Steven J. Davis,S. Madadgar,Ali Mehran,Ali Mehran,Elisa Ragno,Mojtaba Sadegh,Mojtaba Sadegh,Ashmita Sengupta,Subimal Ghosh,Chandrika Thulaseedharan Dhanya,Mohsen Niknejad +12 more
TL;DR: The results suggest that future climate warming will lead to substantial increases in heat-related mortality, particularly in developing low-latitude countries, such as India, where heat waves will become more frequent and populations are especially vulnerable to these extreme temperatures.
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Multivariate Copula Analysis Toolbox (MvCAT): Describing dependence and underlying uncertainty using a Bayesian framework
TL;DR: It is shown that the commonly used local optimization methods for copula parameter estimation often get trapped in local minima and the proposed method addresses this limitation and improves describing the dependence structure.
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Multihazard Scenarios for Analysis of Compound Extreme Events
Mojtaba Sadegh,Hamed Moftakhari,Hoshin V. Gupta,Elisa Ragno,Omid Mazdiyasni,Brett F. Sanders,Richard A. Matthew,Amir AghaKouchak +7 more
TL;DR: The National Oceanic and Atmospheric Administration Ecological Effects of Sea Level Rise Program [NA16NOS4780206] and National Science Foundation Hazards-SEES Program [DMS 1331611].
Journal ArticleDOI
Quantifying Changes in Future Intensity‐Duration‐Frequency Curves Using Multimodel Ensemble Simulations
TL;DR: In this article, a framework for quantifying climate change impacts based on the magnitude and frequency of extreme rainfall events using bias corrected historical and multimodel projected precipitation extremes is presented.