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PRJ-3887 | Alaska Storm Surge Events
PI
Co-PIs; ; ;
Project TypeSimulation
Natural Hazard Type(s)Storm Surge
KeywordsStorm Surge, Alaska
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Description:

Storm surge events where surge exceeded 1m at one of the three following NOAA tide stations: (1) Nome (2) Red Dog Dock (3) Unalakleet from the years 1992 - 2022 were identified and hindcasted using ADCIRC. Events where identified by looking at the difference between the predicted tide and the observed water levels at NOAA tide gauge stations. Events across all three stations were merged into a set of 115 non-overlapping events. Input forcing for the identified events where pulled from NCAR's CFSv1/v2 data set, including barometric pressure, winds, and ice concentration. A lightweight Alaska mesh with with ~440k nodes and ~850k triangular elements was used with the meteorological forcing to generate hindcasts for all 115 identified events. These hindcasts are meant to be used in future studies, in particular as base data-set to generate features for training machine learning models.

Simulation | Alaska 1m Surge Events - Nome, Red Dog Dock, Unalakleet (1992 - 2022)
Cite This Data:
Del-Castillo-Negrete, C., B. Pachev, P. Arora, E. Valseth, C. Dawson (2023). "Alaska 1m Surge Events - Nome, Red Dog Dock, Unalakleet (1992 - 2022)", in Alaska Storm Surge Events. DesignSafe-CI. https://doi.org/10.17603/ds2-4rnb-j321

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Simulation TypeStorm Surge
Author(s); ; ; ;
Date Published2023-03-30
DOI10.17603/ds2-4rnb-j321
License
 Open Data Commons Attribution
Description:

Storm surge events where surge exceeded 1m at one of the three following NOAA tide stations: (1) Nome (2) Red Dog Dock (3) Unalakleet from the years 1992 - 2022 where identified and hindcasted using ADCIRC. Events where identified by looking at the difference between the predicted tide and the observed water levels at NOAA tide gauge stations. Events across all three stations were merged into a set of 115 non-overlapping events. Input forcing for the identified events where pulled from NCAR's CFSv1/v2 data set, including barometric pressure, winds, and ice concentration. A lightweight Alaska mesh with with ~440k nodes and ~850k triangular elements was used with the meteorological forcing to generate hindcasts for all 115 identified events. This base data-set of storms comprises of one of the more comprehensive and complete sets of all storm surge events along the coast of western Alaska. The data is presented in a clean and re-usable format to for future studies, in particular as a base data-set to generate features for training machine learning models.

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