Easier access to scientific data
Brought to you by
|
|
ERDDAP
Easier access to scientific data |
Brought to you by |
| 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-dicca_forecast_nep_1_1km_03 | https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_nep_1_1km_03.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_nep_1_1km_03/ | 2 days 1.1 km resolution forecast over Liguria (03) | Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 48 hours and a spatial resolution of 1.1 km. Data cover Central and Eastern Liguria.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][y][x]):\nu_component_of_wind_height_above_ground (u-component of wind @ Specified height level above ground, m/s)\nv_component_of_wind_height_above_ground (v-component of wind @ Specified height level above ground, m/s)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_nep_1_1km_03/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_nep_1_1km_03.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_nep_1_1km_03&showErrors=false&email= | UNIGE-DICCA | unige-dicca_forecast_nep_1_1km_03 | |||||
| https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_nep_1_1km_04 | https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_nep_1_1km_04.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_nep_1_1km_04/ | 2 days 1.1 km resolution forecast over Liguria (04) | Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 48 hours and a spatial resolution of 1.1 km. Data cover Central and Eastern Liguria.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][y][x]):\nDewpoint_temperature_height_above_ground (Dewpoint temperature @ Specified height level above ground, K)\nRelative_humidity_height_above_ground (Relative humidity @ Specified height level above ground, percent)\nSpecific_humidity_height_above_ground (Specific humidity @ Specified height level above ground, kg/kg)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_nep_1_1km_04/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_nep_1_1km_04.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_nep_1_1km_04&showErrors=false&email= | UNIGE-DICCA | unige-dicca_forecast_nep_1_1km_04 | |||||
| https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_nep_1_1km_05 | https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_nep_1_1km_05.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_nep_1_1km_05/ | 2 days 1.1 km resolution forecast over Liguria (05) | Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 48 hours and a spatial resolution of 1.1 km. Data cover Central and Eastern Liguria.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][y][x]):\nTemperature_height_above_ground (Temperature @ Specified height level above ground, K)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_nep_1_1km_05/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_nep_1_1km_05.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_nep_1_1km_05&showErrors=false&email= | UNIGE-DICCA | unige-dicca_forecast_nep_1_1km_05 | |||||
| https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_nep_1_1km_10 | https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_nep_1_1km_10.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_nep_1_1km_10/ | 2 days 1.1 km resolution forecast over Liguria (10) | Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 48 hours and a spatial resolution of 1.1 km. Data cover Central and Eastern Liguria.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][y][x]):\nSnow_phase_change_heat_flux_height_above_ground_1_Hour_Average (Snow phase change heat flux (1_Hour Average) @ Specified height level above ground, W.m-2)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_nep_1_1km_10/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_nep_1_1km_10.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_nep_1_1km_10&showErrors=false&email= | UNIGE-DICCA | unige-dicca_forecast_nep_1_1km_10 | |||||
| https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_son_3_3km_03 | https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_son_3_3km_03.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_son_3_3km_03/ | 2 days 3.3 km resolution forecast over Northern and Central Italy (03) | Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 48 hours and a spatial resolution of 3.3 km. Data cover Northern and Central Italy.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][y][x]):\nu_component_of_wind_height_above_ground (u-component of wind @ Specified height level above ground, m/s)\nv_component_of_wind_height_above_ground (v-component of wind @ Specified height level above ground, m/s)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_son_3_3km_03/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_son_3_3km_03.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_son_3_3km_03&showErrors=false&email= | UNIGE-DICCA | unige-dicca_forecast_son_3_3km_03 | |||||
| https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_son_3_3km_04 | https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_son_3_3km_04.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_son_3_3km_04/ | 2 days 3.3 km resolution forecast over Northern and Central Italy (04) | Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 48 hours and a spatial resolution of 3.3 km. Data cover Northern and Central Italy.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][y][x]):\nDewpoint_temperature_height_above_ground (Dewpoint temperature @ Specified height level above ground, K)\nRelative_humidity_height_above_ground (Relative humidity @ Specified height level above ground, percent)\nSpecific_humidity_height_above_ground (Specific humidity @ Specified height level above ground, kg/kg)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_son_3_3km_04/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_son_3_3km_04.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_son_3_3km_04&showErrors=false&email= | UNIGE-DICCA | unige-dicca_forecast_son_3_3km_04 | |||||
| https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_son_3_3km_05 | https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_son_3_3km_05.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_son_3_3km_05/ | 2 days 3.3 km resolution forecast over Northern and Central Italy (05) | Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 48 hours and a spatial resolution of 3.3 km. Data cover Northern and Central Italy.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][y][x]):\nTemperature_height_above_ground (Temperature @ Specified height level above ground, K)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_son_3_3km_05/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_son_3_3km_05.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_son_3_3km_05&showErrors=false&email= | UNIGE-DICCA | unige-dicca_forecast_son_3_3km_05 | |||||
| https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_son_3_3km_10 | https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_son_3_3km_10.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_son_3_3km_10/ | 2 days 3.3 km resolution forecast over Northern and Central Italy (10) | Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 48 hours and a spatial resolution of 3.3 km. Data cover Northern and Central Italy.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][y][x]):\nSnow_phase_change_heat_flux_height_above_ground_1_Hour_Average (Snow phase change heat flux (1_Hour Average) @ Specified height level above ground, W.m-2)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_son_3_3km_10/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_son_3_3km_10.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_son_3_3km_10&showErrors=false&email= | UNIGE-DICCA | unige-dicca_forecast_son_3_3km_10 | |||||
| https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_fat_10km_02 | https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_fat_10km_02.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_fat_10km_02/ | 5 days 10 km resolution forecast over Southern Europe and Mediterranean basin (02) | Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 5 day and a spatial resolution of 10 km. Data cover Southern Europe and Mediterranean basin.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][y][x]):\nSnow_phase_change_heat_flux_height_above_ground_1_Hour_Average (Snow phase change heat flux (1_Hour Average) @ Specified height level above ground, W.m-2)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_fat_10km_02/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_fat_10km_02.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_fat_10km_02&showErrors=false&email= | UNIGE-DICCA | unige-dicca_forecast_fat_10km_02 | |||||
| https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_fat_10km_04 | https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_fat_10km_04.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_fat_10km_04/ | 5 days 10 km resolution forecast over Southern Europe and Mediterranean basin (04) | Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 5 day and a spatial resolution of 10 km. Data cover Southern Europe and Mediterranean basin.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][y][x]):\nu_component_of_wind_height_above_ground (u-component of wind @ Specified height level above ground, m/s)\nv_component_of_wind_height_above_ground (v-component of wind @ Specified height level above ground, m/s)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_fat_10km_04/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_fat_10km_04.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_fat_10km_04&showErrors=false&email= | UNIGE-DICCA | unige-dicca_forecast_fat_10km_04 | |||||
| https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_fat_10km_05 | https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_fat_10km_05.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_fat_10km_05/ | 5 days 10 km resolution forecast over Southern Europe and Mediterranean basin (05) | Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 5 day and a spatial resolution of 10 km. Data cover Southern Europe and Mediterranean basin.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][y][x]):\nDewpoint_temperature_height_above_ground (Dewpoint temperature @ Specified height level above ground, K)\nRelative_humidity_height_above_ground (Relative humidity @ Specified height level above ground, percent)\nSpecific_humidity_height_above_ground (Specific humidity @ Specified height level above ground, kg/kg)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_fat_10km_05/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_fat_10km_05.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_fat_10km_05&showErrors=false&email= | UNIGE-DICCA | unige-dicca_forecast_fat_10km_05 | |||||
| https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_fat_10km_06 | https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_fat_10km_06.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_fat_10km_06/ | 5 days 10 km resolution forecast over Southern Europe and Mediterranean basin (06) | Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 5 day and a spatial resolution of 10 km. Data cover Southern Europe and Mediterranean basin.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][y][x]):\nTemperature_height_above_ground (Temperature @ Specified height level above ground, K)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_fat_10km_06/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_fat_10km_06.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_fat_10km_06&showErrors=false&email= | UNIGE-DICCA | unige-dicca_forecast_fat_10km_06 | |||||
| https://erddap.s4raise.it/erddap/griddap/noaa_forecast_gfs_3h_04 | https://erddap.s4raise.it/erddap/griddap/noaa_forecast_gfs_3h_04.graph | https://erddap.s4raise.it/erddap/wms/noaa_forecast_gfs_3h_04/request | https://erddap.s4raise.it/erddap/files/noaa_forecast_gfs_3h_04/ | Global Forecast System (GFS) model (04) | Global Forecast System (GFS) model\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nTemperature_height_above_ground (Temperature @ Specified height level above ground, K)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/noaa_forecast_gfs_3h_04_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/noaa_forecast_gfs_3h_04_iso19115.xml | https://erddap.s4raise.it/erddap/info/noaa_forecast_gfs_3h_04/index.htmlTable | https://www.noaa.gov/
| https://erddap.s4raise.it/erddap/rss/noaa_forecast_gfs_3h_04.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=noaa_forecast_gfs_3h_04&showErrors=false&email= | NOAA | noaa_forecast_gfs_3h_04 | ||
| https://erddap.s4raise.it/erddap/griddap/noaa_forecast_gfs_3h_05 | https://erddap.s4raise.it/erddap/griddap/noaa_forecast_gfs_3h_05.graph | https://erddap.s4raise.it/erddap/files/noaa_forecast_gfs_3h_05/ | Global Forecast System (GFS) model (05) | Global Forecast System (GFS) model\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nu_component_of_wind_height_above_ground (u-component of wind @ Specified height level above ground, m/s)\nv_component_of_wind_height_above_ground (v-component of wind @ Specified height level above ground, m/s)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/noaa_forecast_gfs_3h_05_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/noaa_forecast_gfs_3h_05_iso19115.xml | https://erddap.s4raise.it/erddap/info/noaa_forecast_gfs_3h_05/index.htmlTable | https://www.noaa.gov/
| https://erddap.s4raise.it/erddap/rss/noaa_forecast_gfs_3h_05.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=noaa_forecast_gfs_3h_05&showErrors=false&email= | NOAA | noaa_forecast_gfs_3h_05 | |||
| https://erddap.s4raise.it/erddap/griddap/noaa_forecast_gfs_3h_06 | https://erddap.s4raise.it/erddap/griddap/noaa_forecast_gfs_3h_06.graph | https://erddap.s4raise.it/erddap/wms/noaa_forecast_gfs_3h_06/request | https://erddap.s4raise.it/erddap/files/noaa_forecast_gfs_3h_06/ | Global Forecast System (GFS) model (06) | Global Forecast System (GFS) model\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nRelative_humidity_height_above_ground (Relative humidity @ Specified height level above ground, percent)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/noaa_forecast_gfs_3h_06_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/noaa_forecast_gfs_3h_06_iso19115.xml | https://erddap.s4raise.it/erddap/info/noaa_forecast_gfs_3h_06/index.htmlTable | https://www.noaa.gov/
| https://erddap.s4raise.it/erddap/rss/noaa_forecast_gfs_3h_06.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=noaa_forecast_gfs_3h_06&showErrors=false&email= | NOAA | noaa_forecast_gfs_3h_06 | ||
| 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/tabledap/meteotracker_navebus.subset | https://erddap.s4raise.it/erddap/tabledap/meteotracker_navebus | https://erddap.s4raise.it/erddap/tabledap/meteotracker_navebus.graph | Meteorological data collected by Genoa boat-bus activities using the MeteoTracker device | Collection of meteorological data from the MeteoTracker device. MeteoTracker is a low cost tool for participatory science. RAISE developed the data ingestion, data processing and workflow automation for offering added value datasets.\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\naltitude (m)\nspeed\ntemperature\nhumidity\npressure\ndew_point\nsolar_radiation_index\nhumidex\ntag\npotential_temperature\nD\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/meteotracker_navebus_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/meteotracker_navebus_iso19115.xml | https://erddap.s4raise.it/erddap/info/meteotracker_navebus/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/meteotracker_navebus.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=meteotracker_navebus&showErrors=false&email= | ETT | meteotracker_navebus | |||
| https://erddap.s4raise.it/erddap/tabledap/meteotracker_bus.subset | https://erddap.s4raise.it/erddap/tabledap/meteotracker_bus | https://erddap.s4raise.it/erddap/tabledap/meteotracker_bus.graph | Meteorological data collected by Genoa bus activities using the MeteoTracker device | Collection of meteorological data from the MeteoTracker device. MeteoTracker is a low cost tool for participatory science. RAISE developed the data ingestion, data processing and workflow automation for offering added value datasets.\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\naltitude (m)\nspeed\ncarbon_dioxide\npressure\nhumidity\ntemperature\ndew_point\nhumidex\npotential_temperature\ntag\nD\nvertical_temperature_gradient\nsolar_radiation_index\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/meteotracker_bus_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/meteotracker_bus_iso19115.xml | https://erddap.s4raise.it/erddap/info/meteotracker_bus/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/meteotracker_bus.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=meteotracker_bus&showErrors=false&email= | ETT | meteotracker_bus | |||
| https://erddap.s4raise.it/erddap/tabledap/meteotracker_becis.subset | https://erddap.s4raise.it/erddap/tabledap/meteotracker_becis | https://erddap.s4raise.it/erddap/tabledap/meteotracker_becis.graph | Meteorological data collected during Citizen Science activities using the MeteoTracker device | Collection of meteorological data from the MeteoTracker device. MeteoTracker is a low cost tool for participatory science. RAISE developed the data ingestion, data processing and workflow automation for offering added value datasets.\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\naltitude (m)\nspeed\ntemperature\nhumidity\npressure\ndew_point\nsolar_radiation_index\nhumidex\ntag\nvertical_temperature_gradient\npotential_temperature\nD\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/meteotracker_becis_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/meteotracker_becis_iso19115.xml | https://erddap.s4raise.it/erddap/info/meteotracker_becis/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/meteotracker_becis.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=meteotracker_becis&showErrors=false&email= | ETT | meteotracker_becis | |||
| https://erddap.s4raise.it/erddap/tabledap/meteotracker.subset | https://erddap.s4raise.it/erddap/tabledap/meteotracker | https://erddap.s4raise.it/erddap/tabledap/meteotracker.graph | Meteorological data collected using the MeteoTracker device | Collection of meteorological data from the MeteoTracker device. MeteoTracker is a low cost tool for participatory science. RAISE developed the data ingestion, data processing and workflow automation for offering added value datasets.\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\naltitude (m)\nspeed\ntemperature\nhumidity\npressure\ndew_point\nsolar_radiation_index\nhumidex\ntag\npotential_temperature\nD\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/meteotracker_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/meteotracker_iso19115.xml | https://erddap.s4raise.it/erddap/info/meteotracker/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/meteotracker.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=meteotracker&showErrors=false&email= | ETT | meteotracker | |||
| 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 |