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  • GSSR - A Global Storm Surge Database
    The Global Storm Surge Reconstruction (GSSR) database includes daily maximum surge values for the past at 882 tide gauges distributed along the global coastline
  • A database of global storm surge reconstructions - Nature
    Here we use a data-driven modeling framework to simulate daily maximum surge values at 882 tide gauge locations across the globe
  • SURGEDAT: THE WORLDS STORM SURGE INFORMATION CENTER
    These color-coded maps plot the maximum storm surge or storm tide height along entire coastal areas The maps also provide information about the hurricane that produced the surge, such as hourly position and intensity data
  • SURGEDAT: The Worlds Storm Surge Data Center
    This website lists the location and height of more than 700 tropical storm surge events around the world since 1880 The data were mostly collected from scientific sources, including government reports, historic maps, academic papers, and books
  • National Storm Surge Risk Maps - Version 4
    The data and maps in this tool illustrate the height of possible storm surge flooding under certain scenarios, and do not account for erosion, subsidence, sea-level change or future construction
  • Global coastal flood hazard - Dataset - ENERGYDATA. INFO
    Muis et al Coastal Flood datasets These datasets present the first global reanalysis of storm surges and extreme sea levels (GTSR data set) based on hydrodynamic modelling GTSR covers the entire world’s coastline and consists of time series of tides and surges, and estimates of extreme sea levels
  • Global Storm Surge Reconstruction (GSSR) database
    The Global Storm Surge Reconstruction (GSSR) database includes daily maximum surge values for the past at 882 tide gauges distributed along the global coastline
  • Global Projections of Storm Surges Using High-Resolution CMIP6 Climate . . .
    These are the first global projections of storm surges based on highly detailed climate models (25–50 km) We compare the model output for recent years (1985–2014) with real-world weather data, known as reanalysis data, and find a good overall agreement




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