Global coastal flood hazard
type: Dataset
description: The tropical cyclonic strong wind and storm surge model use information from 2594 historical tropical cyclones, topography, terrain roughness, and bathymetry. The historical tropical cyclones used in GAR15 cyclone wind and storm surge model are from five different oceanic basins: Northeast Pacific, Northwest Pacific, South Pacific, North Indian, South Indian and North Atlantic and the tracks were obtained from the IBTrACS database (Knapp et al. 2010). This database represents the repository of information associated with tropical cyclones that is the most up to date. Topography was taken from the Shuttle Radar Topography Mission (SRTM) of NASA, which provides terrain elevation grids at a 90 meters resolution, delivered by quadrants over the world. To account for surface roughness, polygons of urban areas worldwide were obtained from the Socioeconomic Data and Applications Centre, SEDAC (CIESIN et al., 2011). This was considered a good proxy of the spatial variation of surface roughness. A digital bathymetry model is employed with a spatial resolution of 30 arc-seconds, taken from the GEBCO_08 (General Bathymetric Chart of the Oceans) Grid Database of the British Oceanographic Data Centre (2009). Bathymetry is the information about the underwater floor of the ocean having direct influence on the formation of the storm surge. More information about the cyclone wind and storm surge hazard can be found in CIMNE et al., 2015a. Hazard analysis was performed using the software CAPRA Team Tropical Cyclones Hazard Modeler (Bernal, 2014). The vulnerability models used in the risk calculation for GAR correlate loss to the wind speed for 3-seconds gusts. For GAR15, the risk was calculated with the CAPRA-GIS platform which is risk modelling tool of the CAPRA suite (www.ecapra.org). The risk assessment was also conducted by CIMNE and Ingeniar to produced AAL and PML values for cyclone risk.
issued: 2025-09-30T20:43:46.085161
modified: 2025-09-30T20:43:46.085166
contact point: Organization
  fn: World Bank Group
keyword: AmeriGEO
keyword: AmeriGEOSS
keyword: Energy
keyword: GEO
keyword: GEOSS
keyword: Global
keyword: SDG
keyword: SDG7
keyword: World Bank

Global coastal flood hazard 2 Year Return Period
type: Distribution
format: tif
issued: 2019-11-20T13:52:00
modified: 2025-09-30T20:43:46.073919

Global coastal flood hazard 500 Year Return Period
type: Distribution
format: tif
issued: 2019-11-20T13:52:00
modified: 2025-09-30T20:43:46.069774

Global coastal flood hazard 50 Year Return Period
type: Distribution
format: tif
issued: 2019-11-20T13:53:00
modified: 2025-09-30T20:43:46.065060

Global coastal flood hazard 2 Year Return Period (GFDRR Geonode page)
type: Distribution
issued: 2019-11-20T13:52:00
modified: 2025-09-30T20:43:46.073225
access URL: https://www.geonode-gfdrrlab.org/layers/hazard:ss_muis_rp0002m

Global coastal flood hazard 10 Year Return Period (GFDRR Geonode page)
type: Distribution
issued: 2019-11-20T13:52:00
modified: 2025-09-30T20:43:46.067574
access URL: https://www.geonode-gfdrrlab.org/layers/hazard:ss_muis_rp0010m

Global coastal flood hazard 250 Year Return Period (GFDRR Geonode page)
type: Distribution
issued: 2019-11-20T13:52:00
modified: 2025-09-30T20:43:46.070498
access URL: https://www.geonode-gfdrrlab.org/layers/hazard:ss_muis_rp0250m

Global coastal flood hazard 25 Year Return Period
type: Distribution
format: tif
issued: 2019-11-20T13:52:00
modified: 2025-09-30T20:43:46.060733

Global coastal flood hazard 10 Year Return Period
type: Distribution
format: tif
issued: 2019-11-20T13:52:00
modified: 2025-09-30T20:43:46.061827

Global coastal flood hazard 5 Year Return Period
type: Distribution
format: tif
issued: 2019-11-20T13:52:00
modified: 2025-09-30T20:43:46.072536

Global coastal flood hazard 500 Year Return Period (GFDRR Geonode page)
type: Distribution
issued: 2019-11-20T13:52:00
modified: 2025-09-30T20:43:46.068250
access URL: https://www.geonode-gfdrrlab.org/layers/hazard:ss_muis_rp0500m

Global coastal flood hazard 1000 Year Return Period (GFDRR Geonode page)
type: Distribution
issued: 2019-11-20T13:53:00
modified: 2025-09-30T20:43:46.066140
access URL: https://www.geonode-gfdrrlab.org/layers/hazard:ss_muis_rp1000m

Global coastal flood hazard 5 Year Return Period (GFDRR Geonode page)
type: Distribution
issued: 2019-11-20T13:52:00
modified: 2025-09-30T20:43:46.071860
access URL: https://www.geonode-gfdrrlab.org/layers/hazard:ss_muis_rp0005m

Global coastal flood hazard 100 Year Return Period (GFDRR Geonode page)
type: Distribution
issued: 2019-11-20T13:53:00
modified: 2025-09-30T20:43:46.074671
access URL: https://www.geonode-gfdrrlab.org/layers/hazard:ss_muis_rp0100m

Global coastal flood hazard 250 Year Return Period
type: Distribution
format: tif
issued: 2019-11-20T13:52:00
modified: 2025-09-30T20:43:46.071172

Global coastal flood hazard 50 Year Return Period (GFDRR Geonode page)
type: Distribution
issued: 2019-11-20T13:53:00
modified: 2025-09-30T20:43:46.063929
access URL: https://www.geonode-gfdrrlab.org/layers/hazard:ss_muis_rp0050m

Global coastal flood hazard 25 Year Return Period (GFDRR Geonode page)
type: Distribution
issued: 2019-11-20T13:52:00
modified: 2025-09-30T20:43:46.069037
access URL: https://www.geonode-gfdrrlab.org/layers/hazard:ss_muis_rp0025m

Global coastal flood hazard 100 Year Return Period
type: Distribution
format: tif
issued: 2019-11-20T13:53:00
modified: 2025-09-30T20:43:46.062931

Global coastal flood hazard 1000 Year Return Period
type: Distribution
format: tif
issued: 2019-11-20T13:53:00
modified: 2025-09-30T20:43:46.066875

World Bank
type: Agent