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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/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/tabledap/smartbay_co2_enea.subset https://erddap.s4raise.it/erddap/tabledap/smartbay_co2_enea https://erddap.s4raise.it/erddap/tabledap/smartbay_co2_enea.graph https://erddap.s4raise.it/erddap/files/smartbay_co2_enea/ The \"Smart Bay Santa Teresa Underwater Observatory\"- Carbon dioxide data In July 2024 a preliminary real-time monitoring and transmission system based on wireless underwater networking (IoUT) has been implemented in the harbour of La Spezia, aiming to create an early warning system for temperature increase and to monitor oxygen and pH level. Currently the Smart Bay Santa Teresa Underwater Observatory is equipped with a system of transmission nodes (EMBRC-UP) connected to advanced probes (RAISE), distributed in 12 stations throughout the Gulf. Physical-chemical data (temperature, dissolved oxygen, pH, conductivity, current, turbidity, chlorophyll) are acquired with a frequency of 1 data per hour and transmitted in real time, validated with analytical approaches and weekly and monthly measurement campaigns conducted by ENEA. Biogeochemical are analytically measured (total alkalinity, pH) and derived (pCO2, saturation state, dissolved inorganic carbon) weekly and monthly, together with high precision data profiles (measured by means of a CTD probe).\n\ncdm_data_type = Point\nVARIABLES:\ntime (Date Time(UTC), seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCO2 (ppm)\nInternal_Temperature_IRGA (degrees_C)\nRelative_Humidity\nInternal_Temperature_Sensore_Humidity (degrees_C)\nCell_Pressure (h Pa)\nBattery_Voltage (V)\npCO2_mbar (pCO2, mbar)\npCO2_Pa (pCO2, Pa)\npCO2_uatm (pCO2, uatm)\nStation\nName\nProfondita\nBottom_depth\nProbe_S_N\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/smartbay_co2_enea_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/smartbay_co2_enea_iso19115.xml https://erddap.s4raise.it/erddap/info/smartbay_co2_enea/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/smartbay_co2_enea.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=smartbay_co2_enea&showErrors=false&email= ENEA smartbay_co2_enea
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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