Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 19, issue 10
Articles | Volume 19, issue 10
https://doi.org/10.5194/nhess-19-2295-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-19-2295-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 10
Research article
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22 Oct 2019
Research article | Highlight paper |  | 22 Oct 2019

Ensemble models from machine learning: an example of wave runup and coastal dune erosion

Tomas Beuzen, Evan B. Goldstein, and Kristen D. Splinter

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Short summary
Wave runup is important for characterizing coastal vulnerability to wave action; however, it is complex and uncertain to predict. We use machine learning with a high-resolution dataset of wave runup to develop an accurate runup predictor that includes prediction uncertainty. We show how uncertainty in wave runup predictions can be used practically in a model of dune erosion to make ensemble predictions that provide more information and greater predictive skill than a single deterministic model.
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Advances in computational modelling of natural hazards and...
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