A modeling study of storm surge in the Salish Sea
2018
- 86Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage86
- Downloads61
- Abstract Views25
Artifact Description
The Pacific Northwest coasts are subject to the threat of coastal inundation as a result of storm surge. This snapshot presentation provides an overview of a modeling study of storm surge in the Salish Sea using a high resolution coastal hydrodynamic model. A series of historical storm surge events were identified based on non-tidal residual (NTR) water levels observed at Seattle tide gage. Model simulations corresponding to selected storm surge events were conducted. The Salish Sea storm surge model was validated with both observed tidal and NTR data at NOAA tide gauges in the Salish Sea. Sensitivity analysis on the effects of wind forcing and the open boundary conditions are investigated. Model results indicated that storm surge within Salish Sea is dominated by the open boundary conditions at the entrance of the Strait of Juan de Fuca and wind forcing plays a secondary role. Distributions of storm surge heights corresponding to the sub-basins of Salish Sea are analyzed. The result is a map showing coastal areas at higher risk of storm surge versus those that are less exposed. Note: this submission is for oral snapshot presentation.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know