A tsunami forecast model for Elfin Cove, Alaska.
Operational tsunami forecasting by NOAA's Tsunami Warning Centers relies on the detection of tsunami wave trains in the open ocean, inversion of these data (transmitted via satellite) to quantify their source characteristics, and real-time modeling of the impact on threatened coastal communitie...
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U.S. Department of Commerce, National Oceanic and Atmospheric Administration, Office of Oceanic and Atmospheric Research, Pacific Marine Environmental Laboratory, NOAA Center for Tsunami Research (NCTR).
2015
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Online Access: | https://dx.doi.org/10.7289/v5vh5ktq https://repository.library.noaa.gov/view/noaa/11191 |
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ftdatacite:10.7289/v5vh5ktq 2023-05-15T16:20:41+02:00 A tsunami forecast model for Elfin Cove, Alaska. Spillane, Michael C. 2015 https://dx.doi.org/10.7289/v5vh5ktq https://repository.library.noaa.gov/view/noaa/11191 unknown U.S. Department of Commerce, National Oceanic and Atmospheric Administration, Office of Oceanic and Atmospheric Research, Pacific Marine Environmental Laboratory, NOAA Center for Tsunami Research (NCTR). Public Domain PDM Tsunamis--Alaska--Elfin Cove--Forecasting--Mathematical models. Tsunamis--Alaska--Elfin Cove--Forecasting--Simulation methods. article-journal Text ScholarlyArticle 2015 ftdatacite https://doi.org/10.7289/v5vh5ktq 2021-11-05T12:55:41Z Operational tsunami forecasting by NOAA's Tsunami Warning Centers relies on the detection of tsunami wave trains in the open ocean, inversion of these data (transmitted via satellite) to quantify their source characteristics, and real-time modeling of the impact on threatened coastal communities. The latter phase of the process involves, for each such community, a pre-tested forecast model capable of predicting the impact, in terms of inundation and dangerous inshore currents, with sufficient resolution and within the time constraints appropriate to an emergency response. To achieve this goal, considerable advance effort is required to tune each forecast model to the specific bathymetry and topography, both natural and manmade, of the impact area, and to validate its performance with a broad set of tsunami sources. Where possible, the validation runs should replicate observed responses to historical events, but the sparse instrumental record of these rare but occasionally devastating occurrences dictates that comprehensive testing also include a suite of synthetic scenarios that represent potential extreme events. During the forecast model design phase, and in research mode outside the pressures of an emergency situation, more detailed and slower-running models can be investigated. These models, referred to as reference models, represent the most credible numerical representation of tsunami response for a study region, using the most detailed bathymetry available and without the run-time constraint of operational use. Once a reference model has been developed, the process of forecast model design is to determine where efficiencies can be gained, by reducing the grid resolution and increasing the model time step, while still adequately representing the salient features of the full solution. This report addresses the tsunami aspects of the natural hazard spectrum, documenting the reference and forecast model development for Elfin Cove, Alaska, and its vicinity. Though sparsely populated, the region is traversed by several segments of the Alaska Marine Highway and features important marine resources, including commercial and recreational fishing and the potential for tidal power extraction. Additionally, Glacier Bay is a popular venue for cruise ships and other tourist activity. The forecast model performs satisfactorily in hindcasts of major historical tsunamis and its stability in tests of large synthetic events around the Pacific basin has been demonstrated. However, it should be noted that forecast model amplitudes consistently underestimate those produced in reference model runs. The disparity is generally only a few percent in the early phases of the tsunami wave train but may be significantly larger for later waves. It is suggested that a safety factor of the order of 10% be applied in operational use of forecast model projections. During testing, the forecast model simulated 4 hr of real time in 12.92 min. While this exceeds the 10 min target for this metric, the modest increase is justified by the regional coverage provided by the intentionally enlarged model domain. Text glacier Alaska DataCite Metadata Store (German National Library of Science and Technology) Glacier Bay Pacific |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Tsunamis--Alaska--Elfin Cove--Forecasting--Mathematical models. Tsunamis--Alaska--Elfin Cove--Forecasting--Simulation methods. |
spellingShingle |
Tsunamis--Alaska--Elfin Cove--Forecasting--Mathematical models. Tsunamis--Alaska--Elfin Cove--Forecasting--Simulation methods. Spillane, Michael C. A tsunami forecast model for Elfin Cove, Alaska. |
topic_facet |
Tsunamis--Alaska--Elfin Cove--Forecasting--Mathematical models. Tsunamis--Alaska--Elfin Cove--Forecasting--Simulation methods. |
description |
Operational tsunami forecasting by NOAA's Tsunami Warning Centers relies on the detection of tsunami wave trains in the open ocean, inversion of these data (transmitted via satellite) to quantify their source characteristics, and real-time modeling of the impact on threatened coastal communities. The latter phase of the process involves, for each such community, a pre-tested forecast model capable of predicting the impact, in terms of inundation and dangerous inshore currents, with sufficient resolution and within the time constraints appropriate to an emergency response. To achieve this goal, considerable advance effort is required to tune each forecast model to the specific bathymetry and topography, both natural and manmade, of the impact area, and to validate its performance with a broad set of tsunami sources. Where possible, the validation runs should replicate observed responses to historical events, but the sparse instrumental record of these rare but occasionally devastating occurrences dictates that comprehensive testing also include a suite of synthetic scenarios that represent potential extreme events. During the forecast model design phase, and in research mode outside the pressures of an emergency situation, more detailed and slower-running models can be investigated. These models, referred to as reference models, represent the most credible numerical representation of tsunami response for a study region, using the most detailed bathymetry available and without the run-time constraint of operational use. Once a reference model has been developed, the process of forecast model design is to determine where efficiencies can be gained, by reducing the grid resolution and increasing the model time step, while still adequately representing the salient features of the full solution. This report addresses the tsunami aspects of the natural hazard spectrum, documenting the reference and forecast model development for Elfin Cove, Alaska, and its vicinity. Though sparsely populated, the region is traversed by several segments of the Alaska Marine Highway and features important marine resources, including commercial and recreational fishing and the potential for tidal power extraction. Additionally, Glacier Bay is a popular venue for cruise ships and other tourist activity. The forecast model performs satisfactorily in hindcasts of major historical tsunamis and its stability in tests of large synthetic events around the Pacific basin has been demonstrated. However, it should be noted that forecast model amplitudes consistently underestimate those produced in reference model runs. The disparity is generally only a few percent in the early phases of the tsunami wave train but may be significantly larger for later waves. It is suggested that a safety factor of the order of 10% be applied in operational use of forecast model projections. During testing, the forecast model simulated 4 hr of real time in 12.92 min. While this exceeds the 10 min target for this metric, the modest increase is justified by the regional coverage provided by the intentionally enlarged model domain. |
format |
Text |
author |
Spillane, Michael C. |
author_facet |
Spillane, Michael C. |
author_sort |
Spillane, Michael C. |
title |
A tsunami forecast model for Elfin Cove, Alaska. |
title_short |
A tsunami forecast model for Elfin Cove, Alaska. |
title_full |
A tsunami forecast model for Elfin Cove, Alaska. |
title_fullStr |
A tsunami forecast model for Elfin Cove, Alaska. |
title_full_unstemmed |
A tsunami forecast model for Elfin Cove, Alaska. |
title_sort |
tsunami forecast model for elfin cove, alaska. |
publisher |
U.S. Department of Commerce, National Oceanic and Atmospheric Administration, Office of Oceanic and Atmospheric Research, Pacific Marine Environmental Laboratory, NOAA Center for Tsunami Research (NCTR). |
publishDate |
2015 |
url |
https://dx.doi.org/10.7289/v5vh5ktq https://repository.library.noaa.gov/view/noaa/11191 |
geographic |
Glacier Bay Pacific |
geographic_facet |
Glacier Bay Pacific |
genre |
glacier Alaska |
genre_facet |
glacier Alaska |
op_rights |
Public Domain |
op_rightsnorm |
PDM |
op_doi |
https://doi.org/10.7289/v5vh5ktq |
_version_ |
1766008639158484992 |