WPringle / GLOCOFFS

GLObal Coastal Ocean Flood Forecasting System: An ADCIRC-based global storm tide modeling system providing real-time forecasts of coastal flooding

Home Page:https://wpringle.github.io/GLOCOFFS/

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Latest 6-hourly Forecasts

IMPORTANT NOTE

Ongoing 6-hourly forecasts using GLOCOFFS has been discontinued.

Global storm tide simulation forecasts are now being hosted at: GESTOFS-develop

DISCLAIMER: This model is under development and predictions for surge and coastal flooding are for research purposes only. They should never be used for navigational purposes or emergency planning under any circumstances.

Hydrodynamic: Maximum Surge (meteorological driven component above tides)

Click to see closeup of maximum surge and maximum winds/minimum pressure in individual regions

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Meteorologic: Maximum 10-m Winds and Minimum Sea Surface Pressure

GlobalGFS

Archived Events

How are the Forecasts Obtained?

Forecasts are 2D barotropic ocean circulation and inundation simulations on unstructured triangular meshes subject to meteorological and astronomical forcings, which drive surge and tide respectively. The effect of ice is considered in the computationa of sea surface drag driving surge. The simulations are conducted using the Version 55 of the ADCIRC model (Pringle et al., 2021), and each forecast simulation takes ~10 min wall-clock time on 96 computational processors.

The meshes have been automatically generated using the OceanMesh2D Matlab meshing toolbox (Roberts et al., 2019). A single seamless unstructured mesh is used for each forecast. The default mesh which covers the entire Earth has a coastal resolution of 1.5 km. In the ocean the resolution varies between 1.5 km and 25 km according to functions of topographic gradient and distance from the shoreline.

NOTE: For the explanation below see archived events for examples of using high-resolution insets in the global mesh. The automatic 6-hourly forecasts are currently only simulated on the default global mesh without high-resolution insets

Moreover, when a storm is predicted to make landfall a higher resolution (~90 m) inset around the forecasted landfalling region is automatically merged into the global mesh to provide accurate forecasts of extreme water levels and flooding in the landfall region. In this way we can minimize the computational resources in order to provide timely forecasts without sacrificing accuracy where coastal flooding occurs.

Nearly 1400 high-resolution (~90 m) 1 deg x 1 deg inset meshes (indicated by the red boxes in the image below) have been generated in regions where storms and flooding tend to occur. These are automatically merged into the global mesh as necessary. SRTMBoxes

Inputs and Sources

  • Meteorology: FV3-GFS model 10-m wind velocities (U10 and V10) and atmospheric pressure reduced to mean sea level (MSLET). Link for latest 10-day - archive of forecasts
  • Topography/Bathymetry: Default for the Earth: GEBCO_2019 (~450 m); for high-resolution insets topography is replaced with SRTM3 (~90 m) data.
  • Shoreline Geometry: Default for the Earth: GSSHG; for high-resolution insets shoreline is replaced with the SWBD (~30-90 m accuracy) SRTM-based dataset.

References

  • Pringle, W. J., Wirasaet, D., Roberts, K. J., and Westerink, J. J.: Global Storm Tide Modeling with ADCIRC v55: Unstructured Mesh Design and Performance, Geosci. Model Dev., 14, 1125-1145, doi:10.5194/gmd-14-1125-2021, 2021.
  • Pringle, W. J., Wirasaet, D., Westerink, J. J., and Roberts, K. J.: ADCIRC v55 - Modeling the Earth, Mesh Resolution Effects and Removing Time Step Contraints, in ADCIRC Users Group Meeting 2020, doi:10.17615/39bf-wa56, 2020.
  • Roberts, K. J., Pringle, W. J., and Westerink, J. J.: OceanMesh2D 1.0: MATLAB-based software for two-dimensional unstructured mesh generation in coastal ocean modeling, Geosci. Model Dev., 12, 1847–1868, doi:10.5194/gmd-12-1847-2019, 2019.

Other Links

About

GLObal Coastal Ocean Flood Forecasting System: An ADCIRC-based global storm tide modeling system providing real-time forecasts of coastal flooding

https://wpringle.github.io/GLOCOFFS/

License:MIT License


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