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

cdm_data_type = Other
VARIABLES:
time (Timestamp, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
significantWaveHeight (Significant Wave Height, m)
peakPeriod (Wave Peak Period, s)
meanPeriod (Wave Mean Period, s)
peakDirection (Wave Peak Direction, degrees)
meanDirection (Wave Mean Direction, degrees)
peakDirectionalSpread (Wave Peak Directional Spread, degrees)
meanDirectionalSpread (Wave Mean Directional Spread, degrees)
wind_direction (degrees_north)
wind_speed (m/s)
air_pressure (Barometric Pressure, hPa)
surfaceTemp (Surface Temp, degree_C)


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

cdm_data_type = Other
VARIABLES:
time (Timestamp, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
significantWaveHeight (Significant Wave Height, m)
peakPeriod (Wave Peak Period, s)
meanPeriod (Wave Mean Period, s)
peakDirection (Wave Peak Direction, degrees)
meanDirection (Wave Mean Direction, degrees)
peakDirectionalSpread (Wave Peak Directional Spread, degrees)
meanDirectionalSpread (Wave Mean Directional Spread, degrees)
wind_direction (degrees_north)
wind_speed (m/s)
air_pressure (Barometric Pressure, hPa)
surfaceTemp (Surface Temp, degree_C)


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.

cdm_data_type = Other
VARIABLES:
ext_id
time (seconds since 1970-01-01T00:00:00Z)
cum
rain_intensity
air_temperature
relative_humidity
air_pressure
wind_speed
wind_from_direction
wind_gust (Wind Speed Of Gust)
wind_gust_from_direction
battery


Meteorological observations by Ecowitt Weather Station - ECOWITT002


Meteorological observations by Ecowitt Weather Station - ECOWITT003


Meteorological observations by Ecowitt Weather Station - ECOWITT004


I-Change Acronet Data. CIMAFOUNDATION data from a local source.

cdm_data_type = Point
VARIABLES:
time (Valid Time GMT, seconds since 1970-01-01T00:00:00Z)
STATION_ID
STATION_NAME
latitude (degrees_north)
longitude (degrees_east)
RAINGAUGE (mm)
TEMP (Temperature, degree_C)
HUMIDITY (relative_humidity, percent)
WSPEED (wind_speed)
PRESS (air_pressure)
WSPEED_GUST (wind_speed_of_gust)


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

cdm_data_type = Point
VARIABLES:
name
shortCode (Short Code)
time (Valid Time GMT, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
VHZA (Average zero crossing wave height (Hzm), m)
AIR_TEMP (Air temperature, degree_C)
WSPD (Horizontal wind speed, m/s)
GSPD (Gust wind speed, m/s)
WDIR (Wind from direction relative true north, degrees)
WSPD_2d (Horizontal wind speed, m/s)
GSPD_2d (Gust wind speed, m/s)
WDIR_2d (Wind from direction relative true north, degrees)
ATMP (Atmospheric pressure at sea level, hPa)


Meteorological data collected during Citizen Science V24 campaign aboard the Swan Hellenic SH Vega ship

Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation.

cdm_data_type = Point
VARIABLES:
DateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z)
Timezone
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Report
Voyage_state
Location
Voyage_name
Ship_Speed (kn)
True_wind_speed (Wind Speed, Bft)
Wind_direction_absolute (Wind From Direction)
Wave_height (Sea Surface Wave Significant Height)
Air_temperature (degree_C)
Atmosferic_pressure (Air Pressure, hPa)
Ship_Speed_kn_QC (Ship Speed [kn] QC)
True_wind_speed_QC
Wind_direction_absolute_QC (Wind Direction (absolute) QC)
Wave_height_QC
Air_temperature_QC
Draft_midship_QC


Meteorological data collected during Citizen Science V56 campaign aboard the Swan Hellenic SH Vega ship


Meteorological data collected during Citizen Science V57 campaign aboard the Swan Hellenic SH Vega ship


Meteorological data collected during Citizen Science V25 campaign aboard the Swan Hellenic SH Vega ship

Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation.

cdm_data_type = Point
VARIABLES:
DateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z)
Timezone
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Report
Voyage_state
Location
Voyage_name
Speed_OG (kn)
Ship_Speed (kn)
True_wind_speed (Wind Speed, Bft)
Wind_direction_absolute (Wind From Direction)
Wind_direction_true (degrees)
Wave_height (Sea Surface Wave Significant Height)
Air_temperature (degree_C)
Atmosferic_pressure (hPa)
Speed_OG_QC
Ship_Speed_QC
True_wind_speed_QC
Wind_direction_absolute_QC (Wind Direction (absolute) QC)
Wind_direction_true_QC
Wave_height_QC
Air_temperature_QC
Atmosferic_pressure_QC


Meteorological data collected during Citizen Science V26 campaign aboard the Swan Hellenic SH Vega ship


Meteorological data collected during Citizen Science V27 campaign aboard the Swan Hellenic SH Vega ship


Meteorological data collected during Citizen Science V28 campaign aboard the Swan Hellenic SH Vega ship


Meteorological data collected during Citizen Science V29 campaign aboard the Swan Hellenic SH Vega ship


Meteorological data collected during Citizen Science V30 campaign aboard the Swan Hellenic SH Vega ship


Meteorological data collected during Citizen Science V31 campaign aboard the Swan Hellenic SH Vega ship


Meteorological data collected during Citizen Science V32 campaign aboard the Swan Hellenic SH Vega ship


Meteorological data collected during Citizen Science V33 campaign aboard the Swan Hellenic SH Vega ship


Meteorological data collected during Citizen Science V34 campaign aboard the Swan Hellenic SH Vega ship


Meteorological data collected during Citizen Science V35 campaign aboard the Swan Hellenic SH Vega ship


Meteorological data collected during Citizen Science V36 campaign aboard the Swan Hellenic SH Vega ship


Meteorological data collected during Citizen Science V23 campaign aboard the Swan Hellenic SH Vega ship

Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation.

cdm_data_type = Point
VARIABLES:
DateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z)
Timezone
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Report
Voyage_state
Location
Voyage_name
Speed_OG (kn)
Speed_TW (kn)
True_wind_speed (Wind Speed, Bft)
Wind_direction_absolute (Wind From Direction)
Wave_height (Sea Surface Wave Significant Height)
Air_temperature (degree_C)
Draft_midship (m)
Trim (m)
Distance_OG (nm)
Distance_TW (nm)
Speed_OG_QC
Speed_TW_QC
True_wind_speed_QC
Wind_direction_absolute_QC (Wind Direction (absolute) QC)
Wave_height_QC
Air_temperature_QC
... (4 more variables)


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)

cdm_data_type = Other
VARIABLES:
PLATFORMCODE
String_ID
time (seconds since 1970-01-01T00:00:00Z)
time_cet (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Date (seconds since 1970-01-01T00:00:00Z)
Time
AIR_PRES (Aire Pressure)
WSPD (Wind Speed, m/s)
WDIR (Direction relative to true north from which the wind is blowing, degrees_north)
AIR_TEMP (Air temperature, degrees_Celsius)
Humidity (Relative humidity)
PSAL (Salinity, psu)


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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][y][x]):
Snow_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)


Wave fields (2D) - Hourly Instantaneous. Please check in CMEMS catalogue the INFO section for product MEDSEA_ANALYSISFORECAST_WAV_006_017 - http://marine.copernicus.eu

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
VCMX (Maximum crest trough wave height (Hc,max), m)
VHM0 (Spectral significant wave height (Hm0), m)
VHM0_SW1 (Spectral significant primary swell wave height, m)
VHM0_SW2 (Spectral significant secondary swell wave height, m)
VHM0_WW (Spectral significant wind wave height, m)
VMDR (Mean wave direction from (Mdir), degree)
VMDR_SW1 (Mean primary swell wave direction from, degree)
VMDR_SW2 (Mean secondary swell wave direction from, degree)
VMDR_WW (Mean wind wave direction from, degree)
VMXL (Height of the highest crest, m)
VPED (Wave principal direction at spectral peak, degree)
VSDX (Stokes drift U, m/s)
VSDY (Stokes drift V, m/s)
VTM01_SW1 (Spectral moments (0,1) primary swell wave period, s)
VTM01_SW2 (Spectral moments (0,1) secondary swell wave period, s)
VTM01_WW (Spectral moments (0,1) wind wave period, s)
VTM02 (Spectral moments (0,2) wave period (Tm02), s)
VTM10 (Spectral moments (-1,0) wave period (Tm-10), s)
VTPK (Wave period at spectral peak / peak period (Tp), s)


The particle dispersion model used is Pygnome. The forcings used for the forecast are the persistence of the sea current velocity, in its u and v components, and the average wind speed and direction calculated over the previous six hours.  The model generates a forecast output with a six-hour time horizon. Every hour, new current and wind data are acquired, thus updating the forecast hour by hour for the next six hours.

cdm_data_type = Point
VARIABLES:
time (time since the beginning of the simulation, seconds since 1970-01-01T00:00:00Z)
latitude (latitude of the particle, degrees_north)
longitude (longitude of the particle, degrees_east)
particle_count (number of particles in a given timestep, 1)
spill_num (spill to which the particle belongs)
surface_concentration (surface concentration of oil, g m-2)
depth (particle depth below sea surface, m)
id (particle ID)
age (age of particle from time of release, minutes)
status_codes (particle status code)
density (emulsion density at end of timestep, kg/m^3)
viscosity (emulsion viscosity at end of timestep, m^2/sec)
mass (mass of particle, kilograms)


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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
Convective_available_potential_energy_surface (Convective available potential energy @ Ground or water surface, J/kg)
Convective_inhibition_surface (Convective inhibition @ Ground or water surface, J/kg)
Downward_long_wave_radiation_flux_surface (Downward long-wave radiation flux @ Ground or water surface, W.m-2)
Downward_short_wave_radiation_flux_surface (Downward short-wave radiation flux @ Ground or water surface, W.m-2)
Frictional_velocity_surface (Frictional velocity @ Ground or water surface, m/s)
Geopotential_height_adiabatic_condensation_lifted (Geopotential height @ Level of adiabatic condensation lifted from the surface, gpm)
Geopotential_height_cloud_base (Geopotential height @ Cloud base level, gpm)
Geopotential_height_cloud_ceiling (Geopotential height @ Cloud ceiling, gpm)
Geopotential_height_cloud_tops (Geopotential height @ Level of cloud tops, gpm)
Geopotential_height_highest_tropospheric_freezing (Geopotential height @ Highest tropospheric freezing level, gpm)
Geopotential_height_surface (Geopotential height @ Ground or water surface, gpm)
Geopotential_height_zeroDegC_isotherm (Geopotential height @ Level of 0 °C isotherm, gpm)
Land_cover_0_sea_1_land_surface (Land cover (0 = sea, 1 = land) @ Ground or water surface)
Latent_heat_net_flux_surface (Latent heat net flux @ Ground or water surface, W.m-2)
MSLP_Eta_model_reduction_msl (MSLP (Eta model reduction) @ Mean sea level, Pa)
Planetary_boundary_layer_height_surface (Planetary boundary layer height @ Ground or water surface, m)
Precipitable_water_surface_layer (Precipitable water @ Ground or water surface layer, kg.m-2)
Precipitation_rate_surface (Precipitation rate @ Ground or water surface, kg.m-2.s-1)
Pressure_cloud_base (Pressure @ Cloud base level, Pa)
Pressure_reduced_to_MSL_msl (Pressure reduced to MSL @ Mean sea level, Pa)
Pressure_surface (Pressure @ Ground or water surface, Pa)
Sensible_heat_net_flux_surface (Sensible heat net flux @ Ground or water surface, W.m-2)
Snow_depth_surface (Snow depth @ Ground or water surface, m)
Snow_free_albedo_surface (Snow free albedo @ Ground or water surface, percent)
Temperature_surface (Temperature @ Ground or water surface, K)
Total_cloud_cover_surface_layer (Total cloud cover @ Ground or water surface layer, percent)
... (5 more variables)


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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
Convective_available_potential_energy_surface (Convective available potential energy @ Ground or water surface, J/kg)
Convective_inhibition_surface (Convective inhibition @ Ground or water surface, J/kg)
Downward_long_wave_radiation_flux_surface (Downward long-wave radiation flux @ Ground or water surface, W.m-2)
Downward_short_wave_radiation_flux_surface (Downward short-wave radiation flux @ Ground or water surface, W.m-2)
Frictional_velocity_surface (Frictional velocity @ Ground or water surface, m/s)
Geopotential_height_adiabatic_condensation_lifted (Geopotential height @ Level of adiabatic condensation lifted from the surface, gpm)
Geopotential_height_cloud_base (Geopotential height @ Cloud base level, gpm)
Geopotential_height_cloud_ceiling (Geopotential height @ Cloud ceiling, gpm)
Geopotential_height_cloud_tops (Geopotential height @ Level of cloud tops, gpm)
Geopotential_height_highest_tropospheric_freezing (Geopotential height @ Highest tropospheric freezing level, gpm)
Geopotential_height_surface (Geopotential height @ Ground or water surface, gpm)
Geopotential_height_zeroDegC_isotherm (Geopotential height @ Level of 0 °C isotherm, gpm)
Land_cover_0_sea_1_land_surface (Land cover (0 = sea, 1 = land) @ Ground or water surface)
Latent_heat_net_flux_surface (Latent heat net flux @ Ground or water surface, W.m-2)
MSLP_Eta_model_reduction_msl (MSLP (Eta model reduction) @ Mean sea level, Pa)
Planetary_boundary_layer_height_surface (Planetary boundary layer height @ Ground or water surface, m)
Precipitable_water_surface_layer (Precipitable water @ Ground or water surface layer, kg.m-2)
Precipitation_rate_surface (Precipitation rate @ Ground or water surface, kg.m-2.s-1)
Pressure_cloud_base (Pressure @ Cloud base level, Pa)
Pressure_reduced_to_MSL_msl (Pressure reduced to MSL @ Mean sea level, Pa)
Pressure_surface (Pressure @ Ground or water surface, Pa)
Sensible_heat_net_flux_surface (Sensible heat net flux @ Ground or water surface, W.m-2)
Snow_depth_surface (Snow depth @ Ground or water surface, m)
Snow_free_albedo_surface (Snow free albedo @ Ground or water surface, percent)
Temperature_surface (Temperature @ Ground or water surface, K)
Total_cloud_cover_surface_layer (Total cloud cover @ Ground or water surface layer, percent)
... (5 more variables)


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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
Convective_available_potential_energy_surface (Convective available potential energy @ Ground or water surface, J/kg)
Convective_inhibition_surface (Convective inhibition @ Ground or water surface, J/kg)
Downward_long_wave_radiation_flux_surface (Downward long-wave radiation flux @ Ground or water surface, W.m-2)
Downward_short_wave_radiation_flux_surface (Downward short-wave radiation flux @ Ground or water surface, W.m-2)
Frictional_velocity_surface (Frictional velocity @ Ground or water surface, m/s)
Geopotential_height_adiabatic_condensation_lifted (Geopotential height @ Level of adiabatic condensation lifted from the surface, gpm)
Geopotential_height_cloud_base (Geopotential height @ Cloud base level, gpm)
Geopotential_height_cloud_ceiling (Geopotential height @ Cloud ceiling, gpm)
Geopotential_height_cloud_tops (Geopotential height @ Level of cloud tops, gpm)
Geopotential_height_highest_tropospheric_freezing (Geopotential height @ Highest tropospheric freezing level, gpm)
Geopotential_height_surface (Geopotential height @ Ground or water surface, gpm)
Geopotential_height_zeroDegC_isotherm (Geopotential height @ Level of 0 °C isotherm, gpm)
Land_cover_0_sea_1_land_surface (Land cover (0 = sea, 1 = land) @ Ground or water surface)
Latent_heat_net_flux_surface (Latent heat net flux @ Ground or water surface, W.m-2)
MSLP_Eta_model_reduction_msl (MSLP (Eta model reduction) @ Mean sea level, Pa)
Planetary_boundary_layer_height_surface (Planetary boundary layer height @ Ground or water surface, m)
Precipitable_water_surface_layer (Precipitable water @ Ground or water surface layer, kg.m-2)
Precipitation_rate_surface (Precipitation rate @ Ground or water surface, kg.m-2.s-1)
Pressure_cloud_base (Pressure @ Cloud base level, Pa)
Pressure_reduced_to_MSL_msl (Pressure reduced to MSL @ Mean sea level, Pa)
Pressure_surface (Pressure @ Ground or water surface, Pa)
Sensible_heat_net_flux_surface (Sensible heat net flux @ Ground or water surface, W.m-2)
Snow_depth_surface (Snow depth @ Ground or water surface, m)
Snow_free_albedo_surface (Snow free albedo @ Ground or water surface, percent)
Temperature_surface (Temperature @ Ground or water surface, K)
Total_cloud_cover_surface_layer (Total cloud cover @ Ground or water surface layer, percent)
... (5 more variables)


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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][lev][latitude][longitude]):
U_PL (m s-1)
V_PL (m s-1)
T_PL (K)
RH_PL (Relative Humidity, percent)
GHT_PL (m)
S_PL (m s-1)
TD_PL (K)
Q_PL (kg/kg)


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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][lev][latitude][longitude]):
U_PL (m s-1)
V_PL (m s-1)
T_PL (K)
RH_PL (Relative Humidity, percent)
GHT_PL (m)
S_PL (m s-1)
TD_PL (K)
Q_PL (kg/kg)