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griddap Subset tabledap Make A Graph wms files Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://erddap.s4raise.it/erddap/tabledap/unige-distav_camogli_buoy_temp_curr_data https://erddap.s4raise.it/erddap/tabledap/unige-distav_camogli_buoy_temp_curr_data.graph Camogli in situ buoy sea water temperature and sub surface current data The dataset represents data automatically collected and trasmitted in real-time by in situ buoy located in Camogli\n\ncdm_data_type = Other\nVARIABLES:\ntime (Timestamp, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsw_temperature_3m (SW Temp 3m, degree_Celsius)\nsw_temperature_6_5m (SW Temp 6.5m, degree_Celsius)\nspeed_mean (Speed, cm/s)\nspeed_std (cm/s)\ndirection_mean (Direction, degrees_north)\ndirection_std (degrees_north)\ntilt\ntilt_std\nread_count\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-distav_camogli_buoy_temp_curr_data_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-distav_camogli_buoy_temp_curr_data_iso19115.xml https://erddap.s4raise.it/erddap/info/unige-distav_camogli_buoy_temp_curr_data/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/unige-distav_camogli_buoy_temp_curr_data.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-distav_camogli_buoy_temp_curr_data&showErrors=false&email= UNIGE-DISTAV unige-distav_camogli_buoy_temp_curr_data
https://erddap.s4raise.it/erddap/tabledap/unige-distav_camogli_buoy_wave_wind_data https://erddap.s4raise.it/erddap/tabledap/unige-distav_camogli_buoy_wave_wind_data.graph Camogli in situ Camogli buoy wave and wind data The dataset represents data automatically collected and trasmitted in real-time by in situ buoy located in Camogli\n\ncdm_data_type = Other\nVARIABLES:\ntime (Timestamp, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsignificantWaveHeight (Significant Wave Height, m)\npeakPeriod (Wave Peak Period, s)\nmeanPeriod (Wave Mean Period, s)\npeakDirection (Wave Peak Direction, degrees)\nmeanDirection (Wave Mean Direction, degrees)\npeakDirectionalSpread (Wave Peak Directional Spread, degrees)\nmeanDirectionalSpread (Wave Mean Directional Spread, degrees)\nwind_direction (degrees_north)\nwind_speed (m/s)\nair_pressure (Barometric Pressure, hPa)\nsurfaceTemp (Surface Temp, degree_C)\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-distav_camogli_buoy_wave_wind_data_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-distav_camogli_buoy_wave_wind_data_iso19115.xml https://erddap.s4raise.it/erddap/info/unige-distav_camogli_buoy_wave_wind_data/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/unige-distav_camogli_buoy_wave_wind_data.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-distav_camogli_buoy_wave_wind_data&showErrors=false&email= UNIGE-DISTAV unige-distav_camogli_buoy_wave_wind_data
https://erddap.s4raise.it/erddap/tabledap/MEDA2_CTD_ALL_RAW https://erddap.s4raise.it/erddap/tabledap/MEDA2_CTD_ALL_RAW.graph In situ CTD instrument at 3m depth - eLTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015) - all raw data The dataset represents raw data automatically collected and trasmitted in real-time by in situ CTD instrument at 3m depth, installed on the Meda2 buoy located in the eLTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015).\n\ncdm_data_type = Other\nVARIABLES:\ndate\nhour\ntime (seconds since 1970-01-01T00:00:00Z)\ntime_cet (seconds since 1970-01-01T00:00:00Z)\nPress\nTemp (Temperature)\nCond\nSal (Sal.)\nsensor_id\n https://erddap.s4raise.it/erddap/info/MEDA2_CTD_ALL_RAW/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/MEDA2_CTD_ALL_RAW.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=MEDA2_CTD_ALL_RAW&showErrors=false&email= UNIGE-DISTAV MEDA2_CTD_ALL_RAW
https://erddap.s4raise.it/erddap/tabledap/MEDA2_CTD_LAST_RAW https://erddap.s4raise.it/erddap/tabledap/MEDA2_CTD_LAST_RAW.graph In situ CTD instrument at 3m depth - LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015) - last row data The dataset represents last raw data automatically collected and trasmitted in real-time by in situ CTD instrument at 3m depth, installed on the Meda2 buoy located in the LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015).\n\ncdm_data_type = Other\nVARIABLES:\ndate\nhour\ntime (seconds since 1970-01-01T00:00:00Z)\ntime_cet (seconds since 1970-01-01T00:00:00Z)\nPress\nTemp (Temperature)\nCond\nSal (Sal.)\nsensor_id\n https://erddap.s4raise.it/erddap/info/MEDA2_CTD_LAST_RAW/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/MEDA2_CTD_LAST_RAW.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=MEDA2_CTD_LAST_RAW&showErrors=false&email= UNIGE-DISTAV MEDA2_CTD_LAST_RAW
https://erddap.s4raise.it/erddap/tabledap/MEDA2_CURR.subset https://erddap.s4raise.it/erddap/tabledap/MEDA2_CURR https://erddap.s4raise.it/erddap/tabledap/MEDA2_CURR.graph https://erddap.s4raise.it/erddap/files/MEDA2_CURR/ In situ current in the water column - Nortek AWAC 1Mhz ADCP positioned at a depth of 10m - LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015) The dataset represents data automatically collected and trasmitted in real-time by in situ ADCP instrument at 10m depth, installed on the Meda2 buoy located in the LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015).\n\ncdm_data_type = Other\nVARIABLES:\nPLATFORMCODE\nString_ID\ntime (seconds since 1970-01-01T00:00:00Z)\ntime_cet (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nDate (seconds since 1970-01-01T00:00:00Z)\nTime\nCell_number\nEWCT (West-east current component, m/s)\nNSCT (South-north current component, m/s)\nUVCT (Upward current velocity, m/s)\nSpeed (m/s)\nDirection (degrees)\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/MEDA2_CURR_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/MEDA2_CURR_iso19115.xml https://erddap.s4raise.it/erddap/info/MEDA2_CURR/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/MEDA2_CURR.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=MEDA2_CURR&showErrors=false&email= UNIGE-DISTAV MEDA2_CURR
https://erddap.s4raise.it/erddap/tabledap/MEDA2_WEATHER_STATION https://erddap.s4raise.it/erddap/tabledap/MEDA2_WEATHER_STATION.graph https://erddap.s4raise.it/erddap/files/MEDA2_WEATHER_STATION/ In situ Theodor Friedrichs meteorological station at 7m amsl - LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015) The dataset represents data automatically collected and trasmitted in real-time by in situ meteorological station at 7m amsl, installed on the Meda2 buoy located in the LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015)\n\ncdm_data_type = Other\nVARIABLES:\nPLATFORMCODE\nString_ID\ntime (seconds since 1970-01-01T00:00:00Z)\ntime_cet (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (seconds since 1970-01-01T00:00:00Z)\nTime\nAIR_PRES (Aire Pressure)\nWSPD (Wind Speed, m/s)\nWDIR (Direction relative to true north from which the wind is blowing, degrees_north)\nAIR_TEMP (Air temperature, degrees_Celsius)\nHumidity (Relative humidity)\nPSAL (Salinity, psu)\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/MEDA2_WEATHER_STATION_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/MEDA2_WEATHER_STATION_iso19115.xml https://erddap.s4raise.it/erddap/info/MEDA2_WEATHER_STATION/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/MEDA2_WEATHER_STATION.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=MEDA2_WEATHER_STATION&showErrors=false&email= UNIGE-DISTAV MEDA2_WEATHER_STATION
https://erddap.s4raise.it/erddap/tabledap/MEDA2_WAVE_SINGLEPOINT https://erddap.s4raise.it/erddap/tabledap/MEDA2_WAVE_SINGLEPOINT.graph https://erddap.s4raise.it/erddap/files/MEDA2_WAVE_SINGLEPOINT/ In situ wave - Keller High Accuracy OEM Pressure Transmitter positioned at a depth of 10m - LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015) The dataset represents data automatically collected and trasmitted in real-time by in situ pressure transmitter positioned at a depth of 10m, installed on the Meda2 buoy located in the LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015).\n\ncdm_data_type = Other\nVARIABLES:\nPLATFORMCODE\nString_ID\ntime (seconds since 1970-01-01T00:00:00Z)\ntime_cet (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (seconds since 1970-01-01T00:00:00Z)\nTime\nspectrum_type\nprocessing_method\nVGHS (HM0 significant wave height, m)\nH3 (H3 Mean 1/3 Height, m)\nH10 (H3 Mean 1/10 Height, m)\nHmax (Maximum Height, m)\nTm02 (Mean Period, s)\nTp (Peak Period, s)\nTz (Mean Zero-crossing Period, s)\nDirTp (Peak Direction, degrees_north)\nSprTp (Directional Spread, degrees_north)\nMdir (Mean Direction, degrees_north)\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/MEDA2_WAVE_SINGLEPOINT_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/MEDA2_WAVE_SINGLEPOINT_iso19115.xml https://erddap.s4raise.it/erddap/info/MEDA2_WAVE_SINGLEPOINT/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/MEDA2_WAVE_SINGLEPOINT.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=MEDA2_WAVE_SINGLEPOINT&showErrors=false&email= UNIGE-DISTAV MEDA2_WAVE_SINGLEPOINT
https://erddap.s4raise.it/erddap/tabledap/MEDA2_WAVE https://erddap.s4raise.it/erddap/tabledap/MEDA2_WAVE.graph https://erddap.s4raise.it/erddap/files/MEDA2_WAVE/ In situ wave - Nortek AWAC 1Mhz ADCP positioned at a depth of 10m - LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015) The dataset represents data automatically collected and trasmitted in real-time by in situ ADCP instrument at 10m depth, installed on the Meda2 buoy located in the LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015).\n\ncdm_data_type = Other\nVARIABLES:\nPLATFORMCODE\nString_ID\ntime (seconds since 1970-01-01T00:00:00Z)\ntime_cet (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (seconds since 1970-01-01T00:00:00Z)\nTime\nspectrum_type\nprocessing_method\nVGHS (HM0 significant wave height, m)\nH3 (H3 Mean 1/3 Height, m)\nH10 (H3 Mean 1/10 Height, m)\nHmax (Maximum Height, m)\nTm02 (Mean Period, s)\nTp (Peak Period, s)\nTz (Mean Zero-crossing Period, s)\nDirTp (Peak Direction, degrees_north)\nSprTp (Directional Spread, degrees_north)\nMdir (Mean Direction, degrees_north)\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/MEDA2_WAVE_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/MEDA2_WAVE_iso19115.xml https://erddap.s4raise.it/erddap/info/MEDA2_WAVE/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/MEDA2_WAVE.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=MEDA2_WAVE&showErrors=false&email= UNIGE-DISTAV MEDA2_WAVE
https://erddap.s4raise.it/erddap/tabledap/MEDA2_CTD_TEST https://erddap.s4raise.it/erddap/tabledap/MEDA2_CTD_TEST.graph https://erddap.s4raise.it/erddap/files/MEDA2_CTD_TEST/ LTER_EU_IT_015_MEDA2 - CTD LTER_EU_IT_015_MEDA2 - CTD\n\ncdm_data_type = Other\nVARIABLES:\nPLATFORMCODE\nString_ID\ntime (seconds since 1970-01-01T00:00:00Z)\ntime_cet (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndate\nhour\nPress\nTemp (Temperature)\nCond\nSal (Sal.)\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/MEDA2_CTD_TEST_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/MEDA2_CTD_TEST_iso19115.xml https://erddap.s4raise.it/erddap/info/MEDA2_CTD_TEST/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/MEDA2_CTD_TEST.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=MEDA2_CTD_TEST&showErrors=false&email= UNIGE-DISTAV MEDA2_CTD_TEST
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/ (external link) 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/ (external link) 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/unige-distav_riomaggiore_buoy_temp_curr_data https://erddap.s4raise.it/erddap/tabledap/unige-distav_riomaggiore_buoy_temp_curr_data.graph Riomaggiore in situ buoy sea water temperature and sub surface current data The dataset represents data automatically collected and trasmitted in real-time by in situ buoy located in Riomaggiore\n\ncdm_data_type = Other\nVARIABLES:\ntime (Timestamp, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsw_temperature_3m (SW Temp 3m, degree_C)\nsw_temperature_6_5m (SW Temp 6.5m, degree_C)\nspeed_mean (Speed, cm/s)\nspeed_std (cm/s)\ndirection_mean (Direction, degrees_north)\ndirection_std (degrees_north)\ntilt\ntilt_std\nread_count\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-distav_riomaggiore_buoy_temp_curr_data_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-distav_riomaggiore_buoy_temp_curr_data_iso19115.xml https://erddap.s4raise.it/erddap/info/unige-distav_riomaggiore_buoy_temp_curr_data/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/unige-distav_riomaggiore_buoy_temp_curr_data.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-distav_riomaggiore_buoy_temp_curr_data&showErrors=false&email= UNIGE-DISTAV unige-distav_riomaggiore_buoy_temp_curr_data
https://erddap.s4raise.it/erddap/tabledap/unige-distav_riomaggiore_buoy_wave_wind_data https://erddap.s4raise.it/erddap/tabledap/unige-distav_riomaggiore_buoy_wave_wind_data.graph Riomaggiore in situ buoy wave and wind data The dataset represents data automatically collected and trasmitted in real-time by in situ buoy located in Riomaggiore\n\ncdm_data_type = Other\nVARIABLES:\ntime (Timestamp, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsignificantWaveHeight (Significant Wave Height, m)\npeakPeriod (Wave Peak Period, s)\nmeanPeriod (Wave Mean Period, s)\npeakDirection (Wave Peak Direction, degrees)\nmeanDirection (Wave Mean Direction, degrees)\npeakDirectionalSpread (Wave Peak Directional Spread, degrees)\nmeanDirectionalSpread (Wave Mean Directional Spread, degrees)\nwind_direction (degrees_north)\nwind_speed (m/s)\nair_pressure (Barometric Pressure, hPa)\nsurfaceTemp (Surface Temp, degree_C)\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-distav_riomaggiore_buoy_wave_wind_data_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-distav_riomaggiore_buoy_wave_wind_data_iso19115.xml https://erddap.s4raise.it/erddap/info/unige-distav_riomaggiore_buoy_wave_wind_data/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/unige-distav_riomaggiore_buoy_wave_wind_data.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-distav_riomaggiore_buoy_wave_wind_data&showErrors=false&email= UNIGE-DISTAV unige-distav_riomaggiore_buoy_wave_wind_data
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/ (external link) 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/ (external link) 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/ (external link) 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/ (external link) 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

 
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