2008
DOI: 10.1007/s00024-008-0419-4
|View full text |Cite
|
Sign up to set email alerts
|

Long-Term Tsunami Data Archive Supports Tsunami Forecast, Warning, Research, and Mitigation

Abstract: In response to the 2004 Indian Ocean tsunami, the United States began a careful review and strengthening of its programs aimed at reducing the consequences of tsunamis. Several reports and calls to action were drafted, including the Tsunami Warning and Education Act (Public Law 109-424) signed into law by the President in December 2006. NOAA's National Geophysical Data Center (NGDC) and co-located World Data Center for Geophysics and Marine Geology (WDC-GMG) maintain a national and international tsunami data a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2008
2008
2019
2019

Publication Types

Select...
4
3

Relationship

0
7

Authors

Journals

citations
Cited by 19 publications
(4 citation statements)
references
References 1 publication
0
4
0
Order By: Relevance
“…Discussions are now underway about combining survey measurement data, aerial data, and satellite data. Analyses employing these multiple types of data will be important to understand this event and necessary to validate different types of numerical models [Dunbar et al, 2008] and fragility functions . Notably, local inundation heights and run-up heights differed between neighboring locations.…”
Section: Resultsmentioning
confidence: 99%
“…Discussions are now underway about combining survey measurement data, aerial data, and satellite data. Analyses employing these multiple types of data will be important to understand this event and necessary to validate different types of numerical models [Dunbar et al, 2008] and fragility functions . Notably, local inundation heights and run-up heights differed between neighboring locations.…”
Section: Resultsmentioning
confidence: 99%
“…Since meteotsunami wave periods are relatively long oscillations, the observed wave signal is not expected to be influenced by the type of sensor used or the acoustic sensor's protective well, which has been shown to primarily filter high-frequency wind waves (Park et al 2014). Although 1-min observations are primarily collected and utilized to observe seismic tsunamis (Dunbar et al 2017(Dunbar et al , 2008, the much shorter time series and substantial gaps prevent using these observations for a climatology. Instead, 1-min data are used to assess the potential biases introduced by using the lowerfrequency 6-min data for peak-to-trough wave height and wave period estimates (see sidebar).…”
Section: Finding Meteotsunamis In Water-level Observationsmentioning
confidence: 99%
“…Using 1-min data would be ideal, as the high-frequency oscillations and sometimes extreme peak water level can be either aliased or underestimated when using the 6-min observations. However, quality-controlled 1-min observations (Dunbar et al 2008) are not available at any locations until 2007 and even quality-controlled time series have significant data gaps making filtering and wavelet analyses impractical.…”
Section: Finding Meteotsunamis In Water-level Observationsmentioning
confidence: 99%
“…One example that is described is Tide Tool, which was developed by the Pacific Tsunami Warning Center to continuously download and decode sea-level data globally and to monitor tsunamis in real-time. DUNBAR et al (2008) describe the enhancements to the National Geophysical Data Center World Data Center for Geophysics and Marine Geology (WDC-GMG) national and international long-term tsunami data archive since 2004. The archive has expanded from the original global historical event databases and damage photo collection, to include tsunami deposits, coastal water-level data, DART buoy data, and high-resolution coastal Digital Elevation Model datasets for supporting model validation, guidance to warning centers, tsunami hazard assessment, and education of the public.…”
Section: Tsunami Databasesmentioning
confidence: 99%