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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-dicca_forecast_nep_1_1km_02 | https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_nep_1_1km_02.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_nep_1_1km_02/ | 2 days 1.1 km resolution forecast over Liguria (02) | 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][y][x]):\nConvective_available_potential_energy_surface (Convective available potential energy @ Ground or water surface, J/kg)\nConvective_inhibition_surface (Convective inhibition @ Ground or water surface, J/kg)\nDownward_long_wave_radiation_flux_surface (Downward long-wave radiation flux @ Ground or water surface, W.m-2)\nDownward_short_wave_radiation_flux_surface (Downward short-wave radiation flux @ Ground or water surface, W.m-2)\nFrictional_velocity_surface (Frictional velocity @ Ground or water surface, m/s)\nGeopotential_height_adiabatic_condensation_lifted (Geopotential height @ Level of adiabatic condensation lifted from the surface, gpm)\nGeopotential_height_cloud_base (Geopotential height @ Cloud base level, gpm)\nGeopotential_height_cloud_ceiling (Geopotential height @ Cloud ceiling, gpm)\nGeopotential_height_cloud_tops (Geopotential height @ Level of cloud tops, gpm)\nGeopotential_height_highest_tropospheric_freezing (Geopotential height @ Highest tropospheric freezing level, gpm)\nGeopotential_height_surface (Geopotential height @ Ground or water surface, gpm)\nGeopotential_height_zeroDegC_isotherm (Geopotential height @ Level of 0 °C isotherm, gpm)\nLand_cover_0_sea_1_land_surface (Land cover (0 = sea, 1 = land) @ Ground or water surface)\nLatent_heat_net_flux_surface (Latent heat net flux @ Ground or water surface, W.m-2)\nMSLP_Eta_model_reduction_msl (MSLP (Eta model reduction) @ Mean sea level, Pa)\nPlanetary_boundary_layer_height_surface (Planetary boundary layer height @ Ground or water surface, m)\nPrecipitable_water_surface_layer (Precipitable water @ Ground or water surface layer, kg.m-2)\nPrecipitation_rate_surface (Precipitation rate @ Ground or water surface, kg.m-2.s-1)\nPressure_cloud_base (Pressure @ Cloud base level, Pa)\nPressure_reduced_to_MSL_msl (Pressure reduced to MSL @ Mean sea level, Pa)\nPressure_surface (Pressure @ Ground or water surface, Pa)\nSensible_heat_net_flux_surface (Sensible heat net flux @ Ground or water surface, W.m-2)\nSnow_depth_surface (Snow depth @ Ground or water surface, m)\nSnow_free_albedo_surface (Snow free albedo @ Ground or water surface, percent)\nTemperature_surface (Temperature @ Ground or water surface, K)\nTotal_cloud_cover_surface_layer (Total cloud cover @ Ground or water surface layer, percent)\n... (5 more variables)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_nep_1_1km_02/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_nep_1_1km_02.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_nep_1_1km_02&showErrors=false&email= | UNIGE-DICCA | unige-dicca_forecast_nep_1_1km_02 | |||||
| https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_son_3_3km_02 | https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_son_3_3km_02.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_son_3_3km_02/ | 2 days 3.3 km resolution forecast over Northern and Central Italy (02) | 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][y][x]):\nConvective_available_potential_energy_surface (Convective available potential energy @ Ground or water surface, J/kg)\nConvective_inhibition_surface (Convective inhibition @ Ground or water surface, J/kg)\nDownward_long_wave_radiation_flux_surface (Downward long-wave radiation flux @ Ground or water surface, W.m-2)\nDownward_short_wave_radiation_flux_surface (Downward short-wave radiation flux @ Ground or water surface, W.m-2)\nFrictional_velocity_surface (Frictional velocity @ Ground or water surface, m/s)\nGeopotential_height_adiabatic_condensation_lifted (Geopotential height @ Level of adiabatic condensation lifted from the surface, gpm)\nGeopotential_height_cloud_base (Geopotential height @ Cloud base level, gpm)\nGeopotential_height_cloud_ceiling (Geopotential height @ Cloud ceiling, gpm)\nGeopotential_height_cloud_tops (Geopotential height @ Level of cloud tops, gpm)\nGeopotential_height_highest_tropospheric_freezing (Geopotential height @ Highest tropospheric freezing level, gpm)\nGeopotential_height_surface (Geopotential height @ Ground or water surface, gpm)\nGeopotential_height_zeroDegC_isotherm (Geopotential height @ Level of 0 °C isotherm, gpm)\nLand_cover_0_sea_1_land_surface (Land cover (0 = sea, 1 = land) @ Ground or water surface)\nLatent_heat_net_flux_surface (Latent heat net flux @ Ground or water surface, W.m-2)\nMSLP_Eta_model_reduction_msl (MSLP (Eta model reduction) @ Mean sea level, Pa)\nPlanetary_boundary_layer_height_surface (Planetary boundary layer height @ Ground or water surface, m)\nPrecipitable_water_surface_layer (Precipitable water @ Ground or water surface layer, kg.m-2)\nPrecipitation_rate_surface (Precipitation rate @ Ground or water surface, kg.m-2.s-1)\nPressure_cloud_base (Pressure @ Cloud base level, Pa)\nPressure_reduced_to_MSL_msl (Pressure reduced to MSL @ Mean sea level, Pa)\nPressure_surface (Pressure @ Ground or water surface, Pa)\nSensible_heat_net_flux_surface (Sensible heat net flux @ Ground or water surface, W.m-2)\nSnow_depth_surface (Snow depth @ Ground or water surface, m)\nSnow_free_albedo_surface (Snow free albedo @ Ground or water surface, percent)\nTemperature_surface (Temperature @ Ground or water surface, K)\nTotal_cloud_cover_surface_layer (Total cloud cover @ Ground or water surface layer, percent)\n... (5 more variables)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_son_3_3km_02/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_son_3_3km_02.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_son_3_3km_02&showErrors=false&email= | UNIGE-DICCA | unige-dicca_forecast_son_3_3km_02 | |||||
| https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_fat_10km_03 | https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_fat_10km_03.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_fat_10km_03/ | 5 days 10 km resolution forecast over Southern Europe and Mediterranean basin (03) | 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][y][x]):\nConvective_available_potential_energy_surface (Convective available potential energy @ Ground or water surface, J/kg)\nConvective_inhibition_surface (Convective inhibition @ Ground or water surface, J/kg)\nDownward_long_wave_radiation_flux_surface (Downward long-wave radiation flux @ Ground or water surface, W.m-2)\nDownward_short_wave_radiation_flux_surface (Downward short-wave radiation flux @ Ground or water surface, W.m-2)\nFrictional_velocity_surface (Frictional velocity @ Ground or water surface, m/s)\nGeopotential_height_adiabatic_condensation_lifted (Geopotential height @ Level of adiabatic condensation lifted from the surface, gpm)\nGeopotential_height_cloud_base (Geopotential height @ Cloud base level, gpm)\nGeopotential_height_cloud_ceiling (Geopotential height @ Cloud ceiling, gpm)\nGeopotential_height_cloud_tops (Geopotential height @ Level of cloud tops, gpm)\nGeopotential_height_highest_tropospheric_freezing (Geopotential height @ Highest tropospheric freezing level, gpm)\nGeopotential_height_surface (Geopotential height @ Ground or water surface, gpm)\nGeopotential_height_zeroDegC_isotherm (Geopotential height @ Level of 0 °C isotherm, gpm)\nLand_cover_0_sea_1_land_surface (Land cover (0 = sea, 1 = land) @ Ground or water surface)\nLatent_heat_net_flux_surface (Latent heat net flux @ Ground or water surface, W.m-2)\nMSLP_Eta_model_reduction_msl (MSLP (Eta model reduction) @ Mean sea level, Pa)\nPlanetary_boundary_layer_height_surface (Planetary boundary layer height @ Ground or water surface, m)\nPrecipitable_water_surface_layer (Precipitable water @ Ground or water surface layer, kg.m-2)\nPrecipitation_rate_surface (Precipitation rate @ Ground or water surface, kg.m-2.s-1)\nPressure_cloud_base (Pressure @ Cloud base level, Pa)\nPressure_reduced_to_MSL_msl (Pressure reduced to MSL @ Mean sea level, Pa)\nPressure_surface (Pressure @ Ground or water surface, Pa)\nSensible_heat_net_flux_surface (Sensible heat net flux @ Ground or water surface, W.m-2)\nSnow_depth_surface (Snow depth @ Ground or water surface, m)\nSnow_free_albedo_surface (Snow free albedo @ Ground or water surface, percent)\nTemperature_surface (Temperature @ Ground or water surface, K)\nTotal_cloud_cover_surface_layer (Total cloud cover @ Ground or water surface layer, percent)\n... (5 more variables)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_fat_10km_03/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_fat_10km_03.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_fat_10km_03&showErrors=false&email= | UNIGE-DICCA | unige-dicca_forecast_fat_10km_03 | |||||
| https://erddap.s4raise.it/erddap/tabledap/acronet.subset | https://erddap.s4raise.it/erddap/tabledap/acronet | https://erddap.s4raise.it/erddap/tabledap/acronet.graph | I-Change Acronet Data | I-Change Acronet Data. CIMAFOUNDATION data from a local source.\n\ncdm_data_type = Point\nVARIABLES:\ntime (Valid Time GMT, seconds since 1970-01-01T00:00:00Z)\nSTATION_ID\nSTATION_NAME\nlatitude (degrees_north)\nlongitude (degrees_east)\nRAINGAUGE (mm)\nTEMP (Temperature, degree_C)\nHUMIDITY (relative_humidity, percent)\nWSPEED (wind_speed)\nPRESS (air_pressure)\nWSPEED_GUST (wind_speed_of_gust)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/acronet_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/acronet_iso19115.xml | https://erddap.s4raise.it/erddap/info/acronet/index.htmlTable | https://www.cimafoundation.org/progetto/i-change/
| https://erddap.s4raise.it/erddap/rss/acronet.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=acronet&showErrors=false&email= | CIMAFOUNDATION | acronet | |||
| https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT001.subset | https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT001 | https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT001.graph | https://erddap.s4raise.it/erddap/files/ingv-lasomma_sensors_weather_ECOWITT001/ | Meteorological observations by Ecowitt Weather Station - ECOWITT001 | The Ecowitt Weather Station dataset provides real-time and high-frequency meteorological observations collected by a consumer-grade wireless weather station. The environmental variables monitored by the Ecowitt weather station and accessible through the LA SOMMA portal are: temperature, wind direction, wind gust, wind speed, atmospheric pressure, rainfall intensity, and relative humidity .Data are transmitted at regular intervals through the Ecowitt API. Measurements are delivered as minute-level or multi-minute time series, depending on the configured reporting interval.\n\ncdm_data_type = Other\nVARIABLES:\next_id\ntime (seconds since 1970-01-01T00:00:00Z)\ncum\nrain_intensity\nair_temperature\nrelative_humidity\nair_pressure\nwind_speed\nwind_from_direction\nwind_gust (Wind Speed Of Gust)\nwind_gust_from_direction\nbattery\n | https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_weather_ECOWITT001/index.htmlTable | https://indra.artys.it/INGVRAISE/index.html
| https://erddap.s4raise.it/erddap/rss/ingv-lasomma_sensors_weather_ECOWITT001.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_sensors_weather_ECOWITT001&showErrors=false&email= | INGV, AGI srl | ingv-lasomma_sensors_weather_ECOWITT001 | ||||
| https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT002.subset | https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT002 | https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT002.graph | https://erddap.s4raise.it/erddap/files/ingv-lasomma_sensors_weather_ECOWITT002/ | Meteorological observations by Ecowitt Weather Station - ECOWITT002 | The Ecowitt Weather Station dataset provides real-time and high-frequency meteorological observations collected by a consumer-grade wireless weather station. The environmental variables monitored by the Ecowitt weather station and accessible through the LA SOMMA portal are: temperature, wind direction, wind gust, wind speed, atmospheric pressure, rainfall intensity, and relative humidity .Data are transmitted at regular intervals through the Ecowitt API. Measurements are delivered as minute-level or multi-minute time series, depending on the configured reporting interval.\n\ncdm_data_type = Other\nVARIABLES:\next_id\ntime (seconds since 1970-01-01T00:00:00Z)\ncum\nrain_intensity\nair_temperature\nrelative_humidity\nair_pressure\nwind_speed\nwind_from_direction\nwind_gust (Wind Speed Of Gust)\nwind_gust_from_direction\nbattery\n | https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_weather_ECOWITT002/index.htmlTable | https://indra.artys.it/INGVRAISE/index.html
| https://erddap.s4raise.it/erddap/rss/ingv-lasomma_sensors_weather_ECOWITT002.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_sensors_weather_ECOWITT002&showErrors=false&email= | INGV, AGI srl | ingv-lasomma_sensors_weather_ECOWITT002 | ||||
| https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT003.subset | https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT003 | https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT003.graph | https://erddap.s4raise.it/erddap/files/ingv-lasomma_sensors_weather_ECOWITT003/ | Meteorological observations by Ecowitt Weather Station - ECOWITT003 | The Ecowitt Weather Station dataset provides real-time and high-frequency meteorological observations collected by a consumer-grade wireless weather station. The environmental variables monitored by the Ecowitt weather station and accessible through the LA SOMMA portal are: temperature, wind direction, wind gust, wind speed, atmospheric pressure, rainfall intensity, and relative humidity .Data are transmitted at regular intervals through the Ecowitt API. Measurements are delivered as minute-level or multi-minute time series, depending on the configured reporting interval.\n\ncdm_data_type = Other\nVARIABLES:\next_id\ntime (seconds since 1970-01-01T00:00:00Z)\ncum\nrain_intensity\nair_temperature\nrelative_humidity\nair_pressure\nwind_speed\nwind_from_direction\nwind_gust (Wind Speed Of Gust)\nwind_gust_from_direction\nbattery\n | https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_weather_ECOWITT003/index.htmlTable | https://indra.artys.it/INGVRAISE/index.html
| https://erddap.s4raise.it/erddap/rss/ingv-lasomma_sensors_weather_ECOWITT003.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_sensors_weather_ECOWITT003&showErrors=false&email= | INGV, AGI srl | ingv-lasomma_sensors_weather_ECOWITT003 | ||||
| https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT004.subset | https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT004 | https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT004.graph | https://erddap.s4raise.it/erddap/files/ingv-lasomma_sensors_weather_ECOWITT004/ | Meteorological observations by Ecowitt Weather Station - ECOWITT004 | The Ecowitt Weather Station dataset provides real-time and high-frequency meteorological observations collected by a consumer-grade wireless weather station. The environmental variables monitored by the Ecowitt weather station and accessible through the LA SOMMA portal are: temperature, wind direction, wind gust, wind speed, atmospheric pressure, rainfall intensity, and relative humidity .Data are transmitted at regular intervals through the Ecowitt API. Measurements are delivered as minute-level or multi-minute time series, depending on the configured reporting interval.\n\ncdm_data_type = Other\nVARIABLES:\next_id\ntime (seconds since 1970-01-01T00:00:00Z)\ncum\nrain_intensity\nair_temperature\nrelative_humidity\nair_pressure\nwind_speed\nwind_from_direction\nwind_gust (Wind Speed Of Gust)\nwind_gust_from_direction\nbattery\n | https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_weather_ECOWITT004/index.htmlTable | https://indra.artys.it/INGVRAISE/index.html
| https://erddap.s4raise.it/erddap/rss/ingv-lasomma_sensors_weather_ECOWITT004.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_sensors_weather_ECOWITT004&showErrors=false&email= | INGV, AGI srl | ingv-lasomma_sensors_weather_ECOWITT004 | ||||
| https://erddap.s4raise.it/erddap/tabledap/omirl_stazioni_mare | https://erddap.s4raise.it/erddap/tabledap/omirl_stazioni_mare.graph | https://erddap.s4raise.it/erddap/files/omirl_stazioni_mare/ | Stazioni OMIRL (Osservatorio Meteo Idrologico della Regione Liguria), Osservazioni georiferite di parametri meteo-marini ed idrologici in tempo reale sulla Liguria, Stazioni a mare | Stazioni OMIRL (Osservatorio Meteo Idrologico della Regione Liguria) - Osservazioni georiferite di parametri meteo-marini ed idrologici in tempo reale sulla Liguria - Stazioni a mare\n\ncdm_data_type = Point\nVARIABLES:\nname\nshortCode (Short Code)\ntime (Valid Time GMT, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nVHZA (Average zero crossing wave height (Hzm), m)\nAIR_TEMP (Air temperature, degree_C)\nWSPD (Horizontal wind speed, m/s)\nGSPD (Gust wind speed, m/s)\nWDIR (Wind from direction relative true north, degrees)\nWSPD_2d (Horizontal wind speed, m/s)\nGSPD_2d (Gust wind speed, m/s)\nWDIR_2d (Wind from direction relative true north, degrees)\nATMP (Atmospheric pressure at sea level, hPa)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/omirl_stazioni_mare_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/omirl_stazioni_mare_iso19115.xml | https://erddap.s4raise.it/erddap/info/omirl_stazioni_mare/index.htmlTable | https://omirl.regione.liguria.it/
| https://erddap.s4raise.it/erddap/rss/omirl_stazioni_mare.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=omirl_stazioni_mare&showErrors=false&email= | OMIRL | omirl_stazioni_mare |