ARPAV TX90p hist trend VenetoGrid monthly 1993 2011, 1991

Summary:
ARPAV_TX90p_hist_trend_VenetoGrid_monthly_1993_2011 (nc,, ARPAV TX90p hist trend VenetoGrid monthly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TX90p_trend_1993_2011 (Giornate calde - TX90p_trend_1993_2011, Â°C per year)
TX90p_pvalue_1993_2011 (Giornate calde - TX90p_pvalue_1993_2011)
TX90p_avg_1993_2011 (Giornate calde - TX90p_avg_1993_2011, Â°C)


ARPAV TX90p hist trend VenetoGrid seasonal 1993 2011, 1991

Summary:
ARPAV_TX90p_hist_trend_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV TX90p hist trend VenetoGrid seasonal 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TX90p_trend_1993_2011 (Giornate calde - TX90p_trend_1993_2011, Â°C per year)
TX90p_pvalue_1993_2011 (Giornate calde - TX90p_pvalue_1993_2011)
TX90p_avg_1993_2011 (Giornate calde - TX90p_avg_1993_2011, Â°C)


ARPAV TX90p hist trend VenetoGrid yearly 1993 2011, 1991

Summary:
ARPAV_TX90p_hist_trend_VenetoGrid_yearly_1993_2011 (nc,, ARPAV TX90p hist trend VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TX90p_trend_1993_2011 (Giornate calde - TX90p_trend_1993_2011, Â°C per year)
TX90p_pvalue_1993_2011 (Giornate calde - TX90p_pvalue_1993_2011)
TX90p_avg_1993_2011 (Giornate calde - TX90p_avg_1993_2011, Â°C)


Summary:
ARPAV_TX90p_hist_VenetoGrid_monthly_1993_2022 (nc,, ARPAV TX90p hist VenetoGrid monthly 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TX90p (Giornate calde - TX90p, Â°C)


Summary:
ARPAV_TX90p_hist_VenetoGrid_seasonal_1993_2022 (nc,, ARPAV TX90p hist VenetoGrid seasonal 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TX90p (Giornate calde - TX90p, Â°C)


Summary:
ARPAV_TX90p_hist_VenetoGrid_yearly_1993_2022 (nc,, ARPAV TX90p hist VenetoGrid yearly 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TX90p (Giornate calde - TX90p, Â°C)


Summary:
ARPAV_TXd_hist_anomaly_VenetoGrid_monthly_1993_2011 (nc,, ARPAV TXd hist anomaly VenetoGrid monthly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TXd (Temperatura massima - TXd, Â°C)


Summary:
ARPAV_TXd_hist_anomaly_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV TXd hist anomaly VenetoGrid seasonal 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TXd (Temperatura massima - TXd, Â°C)


Summary:
ARPAV_TXd_hist_anomaly_VenetoGrid_yearly_1993_2011 (nc,, ARPAV TXd hist anomaly VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TXd (Temperatura massima - TXd, Â°C)


ARPAV TXd hist trend VenetoGrid monthly 1993 2011, 1991

Summary:
ARPAV_TXd_hist_trend_VenetoGrid_monthly_1993_2011 (nc,, ARPAV TXd hist trend VenetoGrid monthly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TXd_trend_1993_2011 (Temperatura massima - TXd_trend_1993_2011, Â°C per year)
TXd_pvalue_1993_2011 (Temperatura massima - TXd_pvalue_1993_2011)
TXd_avg_1993_2011 (Temperatura massima - TXd_avg_1993_2011, Â°C)


ARPAV TXd hist trend VenetoGrid seasonal 1993 2011, 1991

Summary:
ARPAV_TXd_hist_trend_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV TXd hist trend VenetoGrid seasonal 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TXd_trend_1993_2011 (Temperatura massima - TXd_trend_1993_2011, Â°C per year)
TXd_pvalue_1993_2011 (Temperatura massima - TXd_pvalue_1993_2011)
TXd_avg_1993_2011 (Temperatura massima - TXd_avg_1993_2011, Â°C)


ARPAV TXd hist trend VenetoGrid yearly 1993 2011, 1991

Summary:
ARPAV_TXd_hist_trend_VenetoGrid_yearly_1993_2011 (nc,, ARPAV TXd hist trend VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TXd_trend_1993_2011 (Temperatura massima - TXd_trend_1993_2011, Â°C per year)
TXd_pvalue_1993_2011 (Temperatura massima - TXd_pvalue_1993_2011)
TXd_avg_1993_2011 (Temperatura massima - TXd_avg_1993_2011, Â°C)


Summary:
ARPAV_TXd_hist_VenetoGrid_monthly_1993_2022 (nc,, ARPAV TXd hist VenetoGrid monthly 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TXd (Temperatura massima - TXd, Â°C)


Summary:
ARPAV_TXd_hist_VenetoGrid_seasonal_1993_2022 (nc,, ARPAV TXd hist VenetoGrid seasonal 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TXd (Temperatura massima - TXd, Â°C)


Summary:
ARPAV_TXd_hist_VenetoGrid_yearly_1993_2022 (nc,, ARPAV TXd hist VenetoGrid yearly 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TXd (Temperatura massima - TXd, Â°C)


Summary:
ARPAV_WSDI_hist_anomaly_VenetoGrid_yearly_1993_2011 (nc,, ARPAV WSDI hist anomaly VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
WSDI (Warm Spell Duration Index - WSDI, gg)


ARPAV WSDI hist trend VenetoGrid yearly 1993 2011, 1991

Summary:
ARPAV_WSDI_hist_trend_VenetoGrid_yearly_1993_2011 (nc,, ARPAV WSDI hist trend VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
WSDI_trend_1993_2011 (Warm Spell Duration Index - WSDI_trend_1993_2011, gg per year)
WSDI_pvalue_1993_2011 (Warm Spell Duration Index - WSDI_pvalue_1993_2011)
WSDI_avg_1993_2011 (Warm Spell Duration Index - WSDI_avg_1993_2011, gg)


Summary:
ARPAV_WSDI_hist_VenetoGrid_yearly_1993_2022 (nc,, ARPAV WSDI hist VenetoGrid yearly 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
WSDI (Warm Spell Duration Index - WSDI, gg)


COSMO_ITALY8km, historical data - CLCT

Summary:
COSMO_ITALY8km - historical data - CLCT

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
CLCT (total cloud cover, 1)


COSMO_ITALY8km, historical data - PMSL

Summary:
COSMO_ITALY8km - historical data - PMSL

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
PMSL (mean sea level pressure, Pa)


COSMO_ITALY8km, historical data - RELHUM_2M

Summary:
COSMO_ITALY8km - historical data - RELHUM_2M

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][height_2m][latitude][longitude]):
RELHUM_2M (2m relative humidity, percent)


COSMO_ITALY8km, historical data - T_2M

Summary:
COSMO_ITALY8km - historical data - T_2M

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][height_2m][latitude][longitude]):
T_2M (2m temperature, K)


COSMO_ITALY8km, historical data - TOT_PREC

Summary:
COSMO_ITALY8km - historical data - TOT_PREC

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TOT_PREC (total precipitation amount, kg m-2)


COSMO_ITALY8km, historical data - U_10M

Summary:
COSMO_ITALY8km - historical data - U_10M

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][height_10m][latitude][longitude]):
U_10M (U-component of 10m wind, m s-1)


COSMO_ITALY8km, historical data - V_10M

Summary:
COSMO_ITALY8km - historical data - V_10M

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][height_10m][latitude][longitude]):
V_10M (V-component of 10m wind, m s-1)


COSMO_ITALY8km, scenario RCP4.5 - CLCT

Summary:
COSMO_ITALY8km - scenario RCP4.5 - CLCT

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
CLCT (total cloud cover, 1)


COSMO_ITALY8km, scenario RCP4.5 - PMSL

Summary:
COSMO_ITALY8km - scenario RCP4.5 - PMSL

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
PMSL (mean sea level pressure, Pa)


COSMO_ITALY8km, scenario RCP4.5 - RELHUM_2M

Summary:
COSMO_ITALY8km - scenario RCP4.5 - RELHUM_2M

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][height_2m][latitude][longitude]):
RELHUM_2M (2m relative humidity, percent)


COSMO_ITALY8km, scenario RCP4.5 - T_2M

Summary:
COSMO_ITALY8km - scenario RCP4.5 - T_2M

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][height_2m][latitude][longitude]):
T_2M (2m temperature, K)


COSMO_ITALY8km, scenario RCP4.5 - TOT_PREC

Summary:
COSMO_ITALY8km - scenario RCP4.5 - TOT_PREC

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TOT_PREC (total precipitation amount, kg m-2)


COSMO_ITALY8km, scenario RCP4.5 - U_10M

Summary:
COSMO_ITALY8km - scenario RCP4.5 - U_10M

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][height_10m][latitude][longitude]):
U_10M (U-component of 10m wind, m s-1)


COSMO_ITALY8km, scenario RCP4.5 - V_10M

Summary:
COSMO_ITALY8km - scenario RCP4.5 - V_10M

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][height_10m][latitude][longitude]):
V_10M (V-component of 10m wind, m s-1)


COSMO_ITALY8km, scenario RCP8.5 - CLCT

Summary:
COSMO_ITALY8km - scenario RCP8.5 - CLCT

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
CLCT (total cloud cover, 1)


COSMO_ITALY8km, scenario RCP8.5 - PMSL

Summary:
COSMO_ITALY8km - scenario RCP8.5 - PMSL

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
PMSL (mean sea level pressure, Pa)


COSMO_ITALY8km, scenario RCP8.5 - RELHUM_2M

Summary:
COSMO_ITALY8km - scenario RCP8.5 - RELHUM_2M

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][height_2m][latitude][longitude]):
RELHUM_2M (2m relative humidity, percent)


COSMO_ITALY8km, scenario RCP8.5 - T_2M

Summary:
COSMO_ITALY8km - scenario RCP8.5 - T_2M

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][height_2m][latitude][longitude]):
T_2M (2m temperature, K)


COSMO_ITALY8km, scenario RCP8.5 - TOT_PREC

Summary:
COSMO_ITALY8km - scenario RCP8.5 - TOT_PREC

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TOT_PREC (total precipitation amount, kg m-2)


COSMO_ITALY8km, scenario RCP8.5 - U_10M

Summary:
COSMO_ITALY8km - scenario RCP8.5 - U_10M

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][height_10m][latitude][longitude]):
U_10M (U-component of 10m wind, m s-1)


COSMO_ITALY8km, scenario RCP8.5 - V_10M

Summary:
COSMO_ITALY8km - scenario RCP8.5 - V_10M

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][height_10m][latitude][longitude]):
V_10M (V-component of 10m wind, m s-1)


CTD|ST101|hist

Summary:
Salinity and temperature measured at Kastela Bay

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
so (SALI, Promili)
temp (Celsius degree)


Daily near-surface temperature in Trieste harbour from digital records (1986-2015)

Summary:
The data set includes daily near-surface sea temperatures measured in the harbour of Trieste (Italy) during 1899-2015. Two time series are formed: the first is derived from analogue measurements performed in the 1899-2008 period, the second is derived from digital records in 1986-2015. From these time series a composite time series for 1899-2015 is built. Data records consist of date and daily temperature in degrees Celsius to the 0.1 °C precision.

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
a_2_m_SEA_TEMPERATURE (2-m SEA TEMPERATURE (deg C), degree_C)


Humidity|Metkovic|observation

Summary:
IOF data from a local source.The dataset includes continuously measured humidity at Metkovic in the Neretva river(Croatia). The time series starts on November 3,2022, 09 (UTC+1), and will be updated weekly. The humidityis given in percentage. The data are collected with meteo-ocean station installed by IOF as part of the AdriaClim project.

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
HUMIDITY (percentage)


Med-BFM RCP4.5: pH (projections, month)

Summary:
Med-BFM RCP4.5: pH (projections, month)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
pH


Med-BFM RCP8.5: pH (projections, month)

Summary:
Med-BFM RCP8.5: pH (projections, month)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
pH


Summary:
Med-CORDEX RCP4.5: Salinity (projections, day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
vosaline (PSU)


Summary:
Med-CORDEX RCP4.5: Sea Surface Height (projections, day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sossheig (Sea Surface Height, m)


Summary:
Med-CORDEX RCP4.5: Temperature (projections, day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
votemper (Temperature, degree_C)


Summary:
Med-CORDEX RCP8.5: Salinity (projections, day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
vosaline (PSU)


Summary:
Med-CORDEX RCP8.5: Sea Surface Height (projections, day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sossheig (Sea Surface Height, m)


Summary:
Med-CORDEX RCP8.5: Temperature (projections, day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
votemper (Temperature, degree_C)


Salinity|CJ009|hist

Summary:
Salinity measured at Stoncica since 1992

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
so (SALI, promili)


Sea level observations at Trieste, Molo Sartorio, Italy

Summary:
The data set includes instantaneous hourly sea level heights measured at the tide gauge on Molo (Pier) Sartorio in the harbour of Trieste, Italy. The station is no. 340 in the GLOSS Core Network. The time series starts on 1 January 1939, 00 (UTC+1), and ends on 31 December 2018, 23 (UTC+1). Heights are expressed in centimetres, relative to the tide gauge zero, which is situated 3.993 m below the internal tide gauge benchmark named 'Piastrina mareografica' (PM). The most recent quotation of PM dates back to autumn 2002 with 2.3310 m above the IGM (Istituto Geografico Militare) national Italian altimetric datum. The data were digitized from charts until 11 January 2001, and recorded on datalogger afterwards.

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
SEA_LEVEL_HEIGHT (Sea Level, centimeters)


Sea level|Metkovic|observation

Summary:
IOF data from a local source.The dataset includes continuously measured sea level at Metkovic in the Neretva river(Croatia). The time series starts on November 3,2022, 09 (UTC+1), and will be updated weekly. The sea level is given in centimeters. The data are collected with meteo-ocean station installed by IOF as part of the AdriaClim project.

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
TIDE_GAUGE (Sea Surface Height, centimeters)


Temperature|CJ009|hist

Summary:
Temperature measured at Stoncica since 1992

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temp (Celsius degree)


venezia_adriaclim_CMEMS-Reanalysis_1994

Summary:
Data restriction: for academic research use only

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
u_velocity (Eastward Sea Water Velocity, m s-1)
v_velocity (Northward Sea Water Velocity, m s-1)
salinity (Sea Water Practical Salinity, PSU)
temperature (Sea Water Temperature, degree_C)
mean_wave_period (s)
sign_wave_height (Significant Wave Height, m)
wave_direction (Mean Wave Direction, deg)


venezia_adriaclim_CMEMS-Reanalysis_1994-2019_d-min


venezia_adriaclim_CMEMS-Reanalysis_1994-2019max