Oceanography Center – University of Cyprus
The GNOME (General NOAA Operational Modeling Environment) Suite is a set of modeling tools for predicting the fate and transport of pollutants (such as oil) spilled in water. These modeling tools are used for NOAA’s spill response support and are also publicly available for use by the broader academic, response, and oil spill planning communities.
The GNOME modeling suite can be used and accessed in multiple ways and includes the following features:
- Web interface as WebGNOME, including Location Files that no longer need to be downloaded
- 3D transport modeling
- Weathering algorithms from the ADIOS weathering model, with updates
- Integration of the TAMOC deepwater blowout model
- Integration of the Response Options Calculator (ROC) to assess performance of spill response systems (i.e., skimming, burning, application of chemical dispersant)
- Enhanced output for interaction with GIS systems
- A scripting interface for automation and batch processing (PyGNOME)
- An open-source code base
|Top : A map view from WebGNOME, showing currents moving the oil in a simulated spill. Bottom: Oil fate (weatheringd spill) view from WebGNOME, showing an oil budget for a simulate (Source: https://response.restoration.noaa.gov/ )|
This model is being developed by the U.S. National Oceanic and Atmospheric Administration (NOAA), along with many supporting tools like a coastline generator, data service for winds and currents, and visualization tools. (You can download from this links https://response.restoration.noaa.gov/oil-and-chemical-spills/oil-spills/response-tools/gnome.html)
GNOME is a trajectory model that can:
- Estimate the trajectory of spills by processing information that you provide about wind and weather conditions, circulation patterns, river flow, and the oil spill(s) you wish to simulate.
- Predict the trajectories that can result from the inexactness (uncertainty) in current and wind observations and forecasts.
- Use weathering algorithms to make simple predictions about the changes the oil will undergo while it is exposed to the environment.
- Quickly be updated, re-run, and saved with new information.
- Provide trajectory output (including uncertainty estimates) in a geo-referenced format that can be used as input to GIS (geographic information system) programs.