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| griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://erddap.s4raise.it/erddap/tabledap/unige-dicca_dispersion_forecast_ai | https://erddap.s4raise.it/erddap/tabledap/unige-dicca_dispersion_forecast_ai.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_dispersion_forecast_ai/ | AI-based particle dispersion model | The particle dispersion model used is Gnome. To drive the dispersion simulations, a neural network is first employed to model the sea current for the next six hours, using the wind and current data from the previous six hours as input. The current signal forecasted by the neural network is then used as a forcing input for Gnome to model the particle dispersion.\n\ncdm_data_type = Point\nVARIABLES:\ntime (time since the beginning of the simulation, seconds since 1970-01-01T00:00:00Z)\nlatitude (latitude of the particle, degrees_north)\nlongitude (longitude of the particle, degrees_east)\nparticle_count (number of particles in a given timestep, 1)\nmass (mass of particle, kilograms)\nstatus_codes (particle status code)\nage (age of particle from time of release, minutes)\ndensity (emulsion density at end of timestep, kg/m^3)\nspill_num (spill to which the particle belongs)\nsurface_concentration (surface concentration of oil, g m-2)\ndepth (particle depth below sea surface, m)\nid (particle ID)\nviscosity (emulsion viscosity at end of timestep, m^2/sec)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-dicca_dispersion_forecast_ai_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-dicca_dispersion_forecast_ai_iso19115.xml | https://erddap.s4raise.it/erddap/info/unige-dicca_dispersion_forecast_ai/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_dispersion_forecast_ai.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_dispersion_forecast_ai&showErrors=false&email= | UNIGE-DICCA | unige-dicca_dispersion_forecast_ai | |||
| https://erddap.s4raise.it/erddap/tabledap/unige-dicca_dispersion_forecast_simple_mover | https://erddap.s4raise.it/erddap/tabledap/unige-dicca_dispersion_forecast_simple_mover.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_dispersion_forecast_simple_mover/ | Particle dispersion model | The particle dispersion model used is Pygnome. The forcings used for the forecast are the persistence of the sea current velocity, in its u and v components, and the average wind speed and direction calculated over the previous six hours. The model generates a forecast output with a six-hour time horizon. Every hour, new current and wind data are acquired, thus updating the forecast hour by hour for the next six hours.\n\ncdm_data_type = Point\nVARIABLES:\ntime (time since the beginning of the simulation, seconds since 1970-01-01T00:00:00Z)\nlatitude (latitude of the particle, degrees_north)\nlongitude (longitude of the particle, degrees_east)\nparticle_count (number of particles in a given timestep, 1)\nspill_num (spill to which the particle belongs)\nsurface_concentration (surface concentration of oil, g m-2)\ndepth (particle depth below sea surface, m)\nid (particle ID)\nage (age of particle from time of release, minutes)\nstatus_codes (particle status code)\ndensity (emulsion density at end of timestep, kg/m^3)\nviscosity (emulsion viscosity at end of timestep, m^2/sec)\nmass (mass of particle, kilograms)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-dicca_dispersion_forecast_simple_mover_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-dicca_dispersion_forecast_simple_mover_iso19115.xml | https://erddap.s4raise.it/erddap/info/unige-dicca_dispersion_forecast_simple_mover/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_dispersion_forecast_simple_mover.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_dispersion_forecast_simple_mover&showErrors=false&email= | UNIGE-DICCA | unige-dicca_dispersion_forecast_simple_mover |