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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/griddap/unige-distav_camogli_runup_scirocco | https://erddap.s4raise.it/erddap/griddap/unige-distav_camogli_runup_scirocco.graph | https://erddap.s4raise.it/erddap/wms/unige-distav_camogli_runup_scirocco/request | https://erddap.s4raise.it/erddap/files/unige-distav_camogli_runup_scirocco/ | Maximum wave run-up considering SE storms | The dataset was generated using the XBeach model, a numerical tool developed to simulate the impacts of extreme events on coastal areas and their associated dynamics. In this case, the model was applied to 20 historical SE storm scenarios, also considering the storm surge (wave set-up), to estimate the wave run-up on the Camogli coast. The wave conditions were derived from the hindcast dataset produced by the MeteOcean research group at the University of Genoa (https://meteocean.science/#research), while the digital elevation model was constructed using a combination of field survey data and elevation data provided by Regione Liguria (https://geoportal.regione.liguria.it/). This approach makes it possible to define offshore wave conditions that may pose potential hazards to coastal infrastructure and human safety.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nzs (water level, m)\nzb (bed level, m)\nue (Eulerian velocity in cell centre, x-component, m/s)\nve (Eulerian velocity in cell centre, y-component, m/s)\nH (Hrms wave height based on instantaneous wave energy, m)\nE (wave energy, Nm/m2)\nL1 (wave length (used in dispersion relation), m)\nQb (fraction breaking waves)\nsedero (cum. sedimentation/erosion, m)\nthetamean (mean wave angle, rad)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-distav_camogli_runup_scirocco_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-distav_camogli_runup_scirocco_iso19115.xml | https://erddap.s4raise.it/erddap/info/unige-distav_camogli_runup_scirocco/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-distav_camogli_runup_scirocco.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-distav_camogli_runup_scirocco&showErrors=false&email= | UNIGE-DISTAV | unige-distav_camogli_runup_scirocco | ||
| https://erddap.s4raise.it/erddap/griddap/unige-distav_camogli_runup_libeccio | https://erddap.s4raise.it/erddap/griddap/unige-distav_camogli_runup_libeccio.graph | https://erddap.s4raise.it/erddap/wms/unige-distav_camogli_runup_libeccio/request | https://erddap.s4raise.it/erddap/files/unige-distav_camogli_runup_libeccio/ | Maximum wave run-up considering SW storms | The dataset was generated using the XBeach model, a numerical tool developed to simulate the impacts of extreme events on coastal areas and their associated dynamics. In this case, the model was applied to 20 historical SW storm scenarios, also considering the storm surge (wave set-up), to estimate the wave run-up on the Camogli coast. The wave conditions were derived from the hindcast dataset produced by the MeteOcean research group at the University of Genoa (https://meteocean.science/#research), while the digital elevation model was constructed using a combination of field survey data and elevation data provided by Regione Liguria (https://geoportal.regione.liguria.it/). This approach makes it possible to define offshore wave conditions that may pose potential hazards to coastal infrastructure and human safety.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nzs (water level, m)\nzb (bed level, m)\nue (Eulerian velocity in cell centre, x-component, m/s)\nve (Eulerian velocity in cell centre, y-component, m/s)\nH (Hrms wave height based on instantaneous wave energy, m)\nE (wave energy, Nm/m2)\nL1 (wave length (used in dispersion relation), m)\nQb (fraction breaking waves)\nsedero (cum. sedimentation/erosion, m)\nthetamean (mean wave angle, rad)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-distav_camogli_runup_libeccio_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-distav_camogli_runup_libeccio_iso19115.xml | https://erddap.s4raise.it/erddap/info/unige-distav_camogli_runup_libeccio/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-distav_camogli_runup_libeccio.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-distav_camogli_runup_libeccio&showErrors=false&email= | UNIGE-DISTAV | unige-distav_camogli_runup_libeccio | ||
| https://erddap.s4raise.it/erddap/griddap/unige-distav_voltri_water_level_scirocco | https://erddap.s4raise.it/erddap/griddap/unige-distav_voltri_water_level_scirocco.graph | https://erddap.s4raise.it/erddap/wms/unige-distav_voltri_water_level_scirocco/request | https://erddap.s4raise.it/erddap/files/unige-distav_voltri_water_level_scirocco/ | Water level considering SE storms | The dataset was generated using the XBeach model, a numerical tool developed to simulate the impacts of extreme events on coastal areas and their associated dynamics. In this case, the model was applied to 20 historical SE storm scenarios to estimate water level under extreme conditions. The wave conditions were derived from the hindcast dataset produced by the MeteOcean research group at the University of Genoa (https://meteocean.science/#research), while the digital elevation model was constructed using a combination of field survey data and elevation data provided by Regione Liguria (https://geoportal.regione.liguria.it/). This approach makes it possible to define offshore wave conditions that may pose potential hazards to coastal infrastructure and human safety.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nzs (water level, m)\nzb (bed level, m)\nue (Eulerian velocity in cell centre, x-component, m/s)\nve (Eulerian velocity in cell centre, y-component, m/s)\nH (Hrms wave height based on instantaneous wave energy, m)\nE (wave energy, Nm/m2)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-distav_voltri_water_level_scirocco_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-distav_voltri_water_level_scirocco_iso19115.xml | https://erddap.s4raise.it/erddap/info/unige-distav_voltri_water_level_scirocco/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-distav_voltri_water_level_scirocco.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-distav_voltri_water_level_scirocco&showErrors=false&email= | UNIGE-DISTAV | unige-distav_voltri_water_level_scirocco | ||
| https://erddap.s4raise.it/erddap/griddap/unige-distav_voltri_water_level_scirocco_setup | https://erddap.s4raise.it/erddap/griddap/unige-distav_voltri_water_level_scirocco_setup.graph | https://erddap.s4raise.it/erddap/wms/unige-distav_voltri_water_level_scirocco_setup/request | https://erddap.s4raise.it/erddap/files/unige-distav_voltri_water_level_scirocco_setup/ | Water level considering SE storms and storm surge | The dataset was generated using the XBeach model, a numerical tool developed to simulate the impacts of extreme events on coastal areas and their associated dynamics. In this case, the model was applied to 20 historical SE storm scenarios, also considering the storm surge (wave set-up) to estimate water level under extreme conditions. The wave conditions were derived from the hindcast dataset produced by the MeteOcean research group at the University of Genoa (https://meteocean.science/#research), while the digital elevation model was constructed using a combination of field survey data and elevation data provided by Regione Liguria (https://geoportal.regione.liguria.it/). This approach makes it possible to define offshore wave conditions that may pose potential hazards to coastal infrastructure and human safety.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nzs (water level, m)\nzb (bed level, m)\nue (Eulerian velocity in cell centre, x-component, m/s)\nve (Eulerian velocity in cell centre, y-component, m/s)\nH (Hrms wave height based on instantaneous wave energy, m)\nE (wave energy, Nm/m2)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-distav_voltri_water_level_scirocco_setup_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-distav_voltri_water_level_scirocco_setup_iso19115.xml | https://erddap.s4raise.it/erddap/info/unige-distav_voltri_water_level_scirocco_setup/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-distav_voltri_water_level_scirocco_setup.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-distav_voltri_water_level_scirocco_setup&showErrors=false&email= | UNIGE-DISTAV | unige-distav_voltri_water_level_scirocco_setup | ||
| https://erddap.s4raise.it/erddap/griddap/unige-distav_voltri_water_level_libeccio | https://erddap.s4raise.it/erddap/griddap/unige-distav_voltri_water_level_libeccio.graph | https://erddap.s4raise.it/erddap/wms/unige-distav_voltri_water_level_libeccio/request | https://erddap.s4raise.it/erddap/files/unige-distav_voltri_water_level_libeccio/ | Water level considering SW storms | The dataset was generated using the XBeach model, a numerical tool developed to simulate the impacts of extreme events on coastal areas and their associated dynamics. In this case, the model was applied to 20 historical SW storm scenarios to estimate water level under extreme conditions. The wave conditions were derived from the hindcast dataset produced by the MeteOcean research group at the University of Genoa (https://meteocean.science/#research), while the digital elevation model was constructed using a combination of field survey data and elevation data provided by Regione Liguria (https://geoportal.regione.liguria.it/). This approach makes it possible to define offshore wave conditions that may pose potential hazards to coastal infrastructure and human safety.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nzs (water level, m)\nzb (bed level, m)\nue (Eulerian velocity in cell centre, x-component, m/s)\nve (Eulerian velocity in cell centre, y-component, m/s)\nH (Hrms wave height based on instantaneous wave energy, m)\nE (wave energy, Nm/m2)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-distav_voltri_water_level_libeccio_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-distav_voltri_water_level_libeccio_iso19115.xml | https://erddap.s4raise.it/erddap/info/unige-distav_voltri_water_level_libeccio/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-distav_voltri_water_level_libeccio.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-distav_voltri_water_level_libeccio&showErrors=false&email= | UNIGE-DISTAV | unige-distav_voltri_water_level_libeccio | ||
| https://erddap.s4raise.it/erddap/griddap/unige-distav_voltri_water_level_libeccio_setup | https://erddap.s4raise.it/erddap/griddap/unige-distav_voltri_water_level_libeccio_setup.graph | https://erddap.s4raise.it/erddap/wms/unige-distav_voltri_water_level_libeccio_setup/request | https://erddap.s4raise.it/erddap/files/unige-distav_voltri_water_level_libeccio_setup/ | Water level considering SW storms and storm surge | The dataset was generated using the XBeach model, a numerical tool developed to simulate the impacts of extreme events on coastal areas and their associated dynamics. In this case, the model was applied to 20 historical SW storm scenarios, also considering the storm surge (wave set-up) to estimate water level under extreme conditions. The wave conditions were derived from the hindcast dataset produced by the MeteOcean research group at the University of Genoa (https://meteocean.science/#research), while the digital elevation model was constructed using a combination of field survey data and elevation data provided by Regione Liguria (https://geoportal.regione.liguria.it/). This approach makes it possible to define offshore wave conditions that may pose potential hazards to coastal infrastructure and human safety.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nzs (water level, m)\nzb (bed level, m)\nue (Eulerian velocity in cell centre, x-component, m/s)\nve (Eulerian velocity in cell centre, y-component, m/s)\nH (Hrms wave height based on instantaneous wave energy, m)\nE (wave energy, Nm/m2)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-distav_voltri_water_level_libeccio_setup_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-distav_voltri_water_level_libeccio_setup_iso19115.xml | https://erddap.s4raise.it/erddap/info/unige-distav_voltri_water_level_libeccio_setup/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-distav_voltri_water_level_libeccio_setup.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-distav_voltri_water_level_libeccio_setup&showErrors=false&email= | UNIGE-DISTAV | unige-distav_voltri_water_level_libeccio_setup |