Tsunami frequency - 2022 - National

This dataset includes an estimate of tsunami frequency. It is based on two sources: 1) A comprehensive list of reports and scientific papers compiled and utilized in producing tsunami hazard maps as well as finding return periods of future events. 2) Applying numerical tsunami models and zooming on selected areas. Unit is expected affected percentage of each pixel over a minimum return period of 500 years. This product was designed by International Centre for Geohazards /NGI for the Global Assessment Report on Risk Reduction (GAR). It was modeled using global data. Credit: GIS processing International Centre for Geohazards /NGI.

Data and Resources

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Additional Info

Field Value
Source https://app.mapx.org/static.html?views=MX-0C0FF-61108-68F6F&zoomToViews=true#JAAc6
Author UNEP/GRID-Geneva
Maintainer UNEP/GRID-Geneva
Last Updated December 7, 2022, 08:26 (UTC)
Created December 7, 2022, 08:26 (UTC)
GUID MX-0C0FF-61108-68F6F
Issued 2022-12-01 16:51:23
Language EN
Modified 2022-12-01 16:51:23
Publisher email info@mapx.org
Publisher name UNEP/GRID-Geneva
Theme Web Map
data_type geospatial
keywords_m49 WLD
projects_description Opportunity maps based on the combination of natural hazards, ecosystems and population exposure, showing where ecosystems can help prevent or mitigate hazards, reduce exposure to hazard impacts by functioning as natural buffers, and reduce vulnerability by supporting livelihoods
projects_id MX-2LD-FBB-58N-ROK-8RH
projects_title Ecosystem approaches for disaster risk
range_end_at_year 2022
range_start_at_year 2015
source_abstract This dataset includes an estimate of tsunami frequency. It is based on two sources: 1) A comprehensive list of reports and scientific papers compiled and utilized in producing tsunami hazard maps as well as finding return periods of future events. 2) Applying numerical tsunami models and zooming on selected areas. Unit is expected affected percentage of each pixel over a minimum return period of 500 years. This product was designed by International Centre for Geohazards /NGI for the Global Assessment Report on Risk Reduction (GAR). It was modeled using global data. Credit: GIS processing International Centre for Geohazards /NGI.
source_title Tsunami frequency - 2022
spatial WLD