Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, United States
Current affiliation: Department of Geophysical Sciences and the Data Science Institute, University of Chicago, 5801 S. Ellis Ave, Chicago, IL 60637, United States
Paul A. O'Gorman
Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, United States
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Total article views: 1,835 (including HTML, PDF, and XML)
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Views and downloads (calculated since 03 Nov 2025)
Cumulative views and downloads
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Total article views: 212 (including HTML, PDF, and XML)
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174
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212
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Total: 212
BibTeX: 18
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Cumulative views and downloads
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Total article views: 1,623 (including HTML, PDF, and XML)
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1,593
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30
1,623
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Total: 1,623
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Viewed (geographical distribution)
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 1,835 (including HTML, PDF, and XML)
Thereof 1,737 with geography defined
and 98 with unknown origin.
Total article views: 212 (including HTML, PDF, and XML)
Thereof 142 with geography defined
and 70 with unknown origin.
Total article views: 1,623 (including HTML, PDF, and XML)
Thereof 1,595 with geography defined
and 28 with unknown origin.
Estimating small probabilities of high-impact extreme weather events is a persistent computational challenge, motivating techniques such as rare event sampling and ensemble boosting: lightly perturbing simulated moderate events into more extreme ones. We formulate a new, flexible sampling strategy and characterizes a critical parameter – the advance split time, dictating when to perturb – in a simple atmospheric turbulence model, with generalizable entropy-based criteria.
Estimating small probabilities of high-impact extreme weather events is a persistent...