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Activity Number:
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362
- Contributed Poster Presentations: Section on Physical and Engineering Sciences
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2020 : 10:00 AM to 2:00 PM
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Sponsor:
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Section on Physical and Engineering Sciences
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Abstract #313650
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Title:
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Towards In-Situ Inference for Climate Extremes
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Author(s):
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Mary Dorn* and Earl Lawrence
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Companies:
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Los Alamos National Laboratory and Los Alamos National Laboratory
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Keywords:
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julia;
extreme events;
climate simulations
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Abstract:
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We present initial groundwork towards performing statistical inference in-situ (implemented within HPC simulation codes) for climate extremes. This work explores the spatial variability of temperature extremes using Bayesian inference to fit extreme value distributions on data from E3SM, DOE’s Earth science model. Additionally, we examine the effect of priors for extremes on parameter estimates as well as derived quantities of interest such as return periods. This is all done in the Julia scientific computing and data science language, which is built to support the high performance needs of in-situ inference.
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Authors who are presenting talks have a * after their name.
