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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/ (external link) 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_07 https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_nep_1_1km_07.graph https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_nep_1_1km_07/ 2 days 1.1 km resolution forecast over Liguria (07) 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][isobaric][y][x]):\nGeopotential_height_isobaric (Geopotential height @ Isobaric surface, gpm)\nRelative_humidity_isobaric (Relative humidity @ Isobaric surface, percent)\nTemperature_isobaric (Temperature @ Isobaric surface, K)\nVertical_velocity_pressure_isobaric (Vertical velocity (pressure) @ Isobaric surface, Pa/s)\nu_component_of_wind_isobaric (u-component of wind @ Isobaric surface, m/s)\nv_component_of_wind_isobaric (v-component of wind @ Isobaric surface, m/s)\n https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_nep_1_1km_07/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_nep_1_1km_07.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_nep_1_1km_07&showErrors=false&email= UNIGE-DICCA unige-dicca_forecast_nep_1_1km_07
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/ (external link) 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_07 https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_son_3_3km_07.graph https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_son_3_3km_07/ 2 days 3.3 km resolution forecast over Northern and Central Italy (07) 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][isobaric][y][x]):\nGeopotential_height_isobaric (Geopotential height @ Isobaric surface, gpm)\nRelative_humidity_isobaric (Relative humidity @ Isobaric surface, percent)\nTemperature_isobaric (Temperature @ Isobaric surface, K)\nVertical_velocity_pressure_isobaric (Vertical velocity (pressure) @ Isobaric surface, Pa/s)\nu_component_of_wind_isobaric (u-component of wind @ Isobaric surface, m/s)\nv_component_of_wind_isobaric (v-component of wind @ Isobaric surface, m/s)\n https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_son_3_3km_07/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_son_3_3km_07.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_son_3_3km_07&showErrors=false&email= UNIGE-DICCA unige-dicca_forecast_son_3_3km_07
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/ (external link) 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_08 https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_fat_10km_08.graph https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_fat_10km_08/ 5 days 10 km resolution forecast over Southern Europe and Mediterranean basin (08) 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][isobaric][y][x]):\nGeopotential_height_isobaric (Geopotential height @ Isobaric surface, gpm)\nRelative_humidity_isobaric (Relative humidity @ Isobaric surface, percent)\nTemperature_isobaric (Temperature @ Isobaric surface, K)\nVertical_velocity_pressure_isobaric (Vertical velocity (pressure) @ Isobaric surface, Pa/s)\nu_component_of_wind_isobaric (u-component of wind @ Isobaric surface, m/s)\nv_component_of_wind_isobaric (v-component of wind @ Isobaric surface, m/s)\n https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_fat_10km_08/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_fat_10km_08.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_fat_10km_08&showErrors=false&email= UNIGE-DICCA unige-dicca_forecast_fat_10km_08
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/ (external link) 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/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/ (external link) 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 (external link) 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 (external link) 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 (external link) 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 (external link) 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/griddap/cima_forecast_1_5km_02 https://erddap.s4raise.it/erddap/griddap/cima_forecast_1_5km_02.graph https://erddap.s4raise.it/erddap/wms/cima_forecast_1_5km_02/request WRF (Weather Research and Forecasting Model)  1.5 km (02) WRF-1.5km OL: Open loop configuration (without data assimilation) with 3 two-way nested domains respectively having spatial resolution 13.5, 4.5 and 1.5 km with 50 vertical levels. The analysis and boundary data (hourly frequency) data are obtained from the Global Forecasting System (GFS) model at 0.25 degrees of resolution. One run per day (00 UTC) is made with the GFS data with a forecast time horizon of 48 hours to have 2 full days of forecasting (hourly time resolution). This forecast is performed on computing resources at CINECA (about 1600 cores) and is delivered to within 7:00 UTC.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][lev][latitude][longitude]):\nU_PL (m s-1)\nV_PL (m s-1)\nT_PL (K)\nRH_PL (Relative Humidity, percent)\nGHT_PL (m)\nS_PL (m s-1)\nTD_PL (K)\nQ_PL (kg/kg)\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cima_forecast_1_5km_02_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cima_forecast_1_5km_02_iso19115.xml https://erddap.s4raise.it/erddap/info/cima_forecast_1_5km_02/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/cima_forecast_1_5km_02.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cima_forecast_1_5km_02&showErrors=false&email= CIMA cima_forecast_1_5km_02
https://erddap.s4raise.it/erddap/griddap/cima_forecast_2_5km_02 https://erddap.s4raise.it/erddap/griddap/cima_forecast_2_5km_02.graph https://erddap.s4raise.it/erddap/wms/cima_forecast_2_5km_02/request WRF (Weather Research and Forecasting Model)  2.5 km including 3DVAR assimilation (radar data) (02) Configuration with 3DVAR variational assimilation with 3 two-way nested domains respectively with spatial resolution 22.5, 7.5 and 2.5 km with 50 vertical levels. The analysis data and boundary conditions (with tri-hourly frequency) are obtained from the GFS model at 0.25 degrees of resolution. This forecast is performed on computing resources at CIMA and is delivered within 3:30 UTC. The assimilation scheme is performed as it follows: WRF-2.5 km is initialized with the GFS model of the 18UTC, whose analysis is integrated, by means of 3DVAR, by CAPPI radar remote sensing data of the Italian Civil Protection Department (ICPD). The WRF model is thus executed for 3 hours until 21UTC, when a second 3DVAR assimilation cycle is applied. Finally, the WRF model is executed until 00UTC when the final assimilation cycle is performed. The simulation is then carried out for a further 48 hours starting from 00UTC in order to have 2 complete days of forecasting.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][lev][latitude][longitude]):\nU_PL (m s-1)\nV_PL (m s-1)\nT_PL (K)\nRH_PL (Relative Humidity, percent)\nGHT_PL (m)\nS_PL (m s-1)\nTD_PL (K)\nQ_PL (kg/kg)\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cima_forecast_2_5km_02_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cima_forecast_2_5km_02_iso19115.xml https://erddap.s4raise.it/erddap/info/cima_forecast_2_5km_02/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/cima_forecast_2_5km_02.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cima_forecast_2_5km_02&showErrors=false&email= CIMA cima_forecast_2_5km_02

 
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