AdriaClim RESM - Indicators - NEMO - SSS 2031-2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sss_perc95 (SSS 95 Percentile, 0.001)
sss_max (Maximum SSS, 0.001)
sss_mean (0.001)
sss_perc5 (SSS 5 Percentile, 0.001)
sss_std (SSS Standard Deviation, 0.001)
sss_min (Minimum SSS, 0.001)


AdriaClim RESM - Indicators - NEMO - SST 1992-2011

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst_perc95 (SST 95 Percentile, degree_C)
sst_max (Maximum SST, degree_C)
sst_mean (degree_C)
sst_perc5 (SST 5 Percentile, degree_C)
sst_std (SST Standard Deviation, degree_C)
sst_min (Minimum SST, degree_C)


AdriaClim RESM - Indicators - NEMO - SST 2031-2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst_perc95 (SST 95 Percentile, degree_C)
sst_max (Maximum SST, degree_C)
sst_mean (degree_C)
sst_perc5 (SST 5 Percentile, degree_C)
sst_std (SST Standard Deviation, degree_C)
sst_min (Minimum SST, degree_C)


AdriaClim RESM - Indicators - Reanalysis - MHW

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mhw_mean_intensity (Mean max. intensity of MHW per year, degree_C)
mhw_mean_duration (Mean duration of MHW per year, days)
mhw_mean_number (Mean number of MHW per year, count)
mhw_mean_intensity_trend (Trend of max. intensity of MHW per year, degree_C)
mhw_mean_duration_trend (Trend of duration of MHW per year, days)
mhw_mean_number_trend (Trend of number of MHW per year, count)


AdriaClim RESM - Indicators - Reanalysis - MLD

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mld_perc95 (MLD 95 Percentile, m)
mld_max (Maximum MLD, m)
mld_mean (m)
mld_perc5 (MLD 5 Percentile, m)
mld_std (MLD Standard Deviation, m)
mld_min (Minimum MLD, m)


AdriaClim RESM - Indicators - Reanalysis - OHC 300m

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ohc_mean (Mean Ocean Heat Content (OHC), J/m**2)
ohc_min (Minimum Ocean Heat Content (OHC), J/m**2)
ohc_max (Maximum Ocean Heat Content (OHC), J/m**2)
ohc_std (Ocean Heat Content (OHC) Standard Deviation, J/m**2)
ohc_trend (Ocean Heat Content (OHC) trend, J/m**2 per year)


AdriaClim RESM - Indicators - Reanalysis - OHC 300m Annual Mean

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ohc (Annual mean Ocean Heat Content (OHC) time variation, J/m**2)
ohca (Annual mean Ocean Heat Content anomaly (OHCa) time variation, J/m**2)


AdriaClim RESM - Indicators - Reanalysis - OHC 40m

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ohc_mean (Mean Ocean Heat Content (OHC), J/m**2)
ohc_min (Minimum Ocean Heat Content (OHC), J/m**2)
ohc_max (Maximum Ocean Heat Content (OHC), J/m**2)
ohc_std (Ocean Heat Content (OHC) Standard Deviation, J/m**2)
ohc_trend (Ocean Heat Content (OHC) trend, J/m**2 per year)


AdriaClim RESM - Indicators - Reanalysis - OHC 40m Annual Mean

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ohc (Annual mean Ocean Heat Content (OHC) time variation, J/m**2)
ohca (Annual mean Ocean Heat Content anomaly (OHCa) time variation, J/m**2)


AdriaClim RESM - Indicators - Reanalysis - SL

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sl_mean (m)
sl_min (Minimum SL, m)
sl_max (Maximum SL, m)
sl_std (SL Standard Deviation, m)
sl_perc95 (SL 95 Percentile, m)
sl_perc5 (SL 5 Percentile, m)
sl_trend (mm*yr-1)


AdriaClim RESM - Indicators - Reanalysis - SSS

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sss_perc95 (SSS 95 Percentile, 0.001)
sss_max (Maximum SSS, 0.001)
sss_mean (0.001)
sss_perc5 (SSS 5 Percentile, 0.001)
sss_std (SSS Standard Deviation, 0.001)
sss_min (Minimum SSS, 0.001)


AdriaClim RESM - Indicators - Reanalysis - SST

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst_perc95 (SST 95 Percentile, degree_C)
sst_max (Maximum SST, degree_C)
sst_mean (degree_C)
sst_perc5 (SST 5 Percentile, degree_C)
sst_std (SST Standard Deviation, degree_C)
sst_min (Minimum SST, degree_C)


AdriaClim RESM - NEMO - historical, 3h - Sea Level calibrated ster avg

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SL_S_ster_avg (Sea Level (steric component averaged over the Adriatic Sea basin from daily outputs) calibrated using SLA satellite data [database from 1993 to 2020], m)


AdriaClim RESM - NEMO - historical, 3h - Sea Level calibrated ster avg COSMO

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SL_S_ster_avg (Sea Level (steric component averaged over the Adriatic Sea basin from daily outputs) calibrated using SLA satellite data [database from 1993 to 2020], m)


AdriaClim RESM - NEMO - historical, 3h - SSH trend correction

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SSH_Corr_S (Sea Surface Height corrected to SLA satellite trend, m)


AdriaClim RESM - NEMO - historical, 3h - T subgrid 3D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Latent_Downward_Heat_Flux (Latent Downward Heat Flux over open ocean, W/m2)
Longwave_Downward_Heat_Flux (Longwave Downward Heat Flux over open ocean, W/m2)
Sensible_Downward_Heat_Flux (Sensible Downward Heat Flux over open ocean, W/m2)
sohefldo (Net Downward Heat Flux, W/m2)
sosaline (Sea Surface Salinity, PSU)
sosfldow (Downward salt flux, 0.001/m2/s)
soshfldo (Shortwave Radiation, W/m2)
sossheig (sea surface height, m)
sosstsst (Sea Surface Temperature, degree_C)
sowaflup (Net Upward Water Flux, kg/m2/s)
wind_speed_module (m/s)


AdriaClim RESM - NEMO - historical, 3h - U subgrid 3D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocean_surface_current_along_i (ocean surface current along i-axis, m/s)


AdriaClim RESM - NEMO - historical, 3h - V subgrid 3D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocean_surface_current_along_j (ocean surface current along j-axis, m/s)


AdriaClim RESM - NEMO - historical, day - Sea Level calibrated

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SL_S (Sea Level calibrated using SLA satellite data [database from 1993 to 2020], m)


AdriaClim RESM - NEMO - historical, day - Sea Level calibrated ster avg

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SL_S_ster_avg (Sea Level (steric component averaged over the Adriatic Sea basin) calibrated using SLA satellite data [database from 1993 to 2020], m)


AdriaClim RESM - NEMO - historical, day - SSH trend correction

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SSH_Corr_S (Sea Surface Height corrected to SLA satellite trend, m)


AdriaClim RESM - NEMO - historical, day - T subgrid 3D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sohefldo (Net Downward Heat Flux, W/m2)
somixhgt (Turbocline depth (Kz = 5e-4), m)
somxl010 (Mixed Layer Depth (dsigma = 0.01 wrt 10m), m)
sosaline (Sea Surface Salinity, PSU)
sosfldow (Downward salt flux, 0.001/m2/s)
sossheig (sea surface height, m)
sosstsst (Sea Surface Temperature, degree_C)
sowaflup (Net Upward Water Flux, kg/m2/s)


AdriaClim RESM - NEMO - historical, day - T subgrid 4D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
vosaline (Sea Water Salinity, PSU)
votemper (Sea Water Potential Temperature, degree_C)


AdriaClim RESM - NEMO - historical, day - U subgrid 3D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sozotaux (Surface Downward X Stress, N/m2)


AdriaClim RESM - NEMO - historical, day - U subgrid 4D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
uocetr_eff (Effective ocean transport along i-axis, m3/s)
vozocrtx (Sea Water X Velocity, m/s)


AdriaClim RESM - NEMO - historical, day - V subgrid 3D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sometauy (Surface Downward Y Stress, N/m2)


AdriaClim RESM - NEMO - historical, day - V subgrid 4D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
vocetr_eff (Effective ocean transport along j-axis, m3/s)
vomecrty (Sea Water Y Velocity, m/s)


AdriaClim RESM - NEMO - historical, day - W subgrid 4D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
voddmavs (salt vertical eddy diffusivity, m2/s)
vovecrtz (ocean vertical velocity, m/s)
wocetr_eff (effective ocean vertical transport, m3/s)


AdriaClim RESM - NEMO - projection, 3h - Sea Level calibrated ster avg

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SL_S_ster_avg (Sea Level (steric component averaged over the Adriatic Sea basin from daily outputs) calibrated using SLA satellite data [database from 1993 to 2020], m)


AdriaClim RESM - NEMO - projection, 3h - Sea Level calibrated ster avg COSMO

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SL_S_ster_avg (Sea Level (steric component averaged over the Adriatic Sea basin from daily outputs) calibrated using SLA satellite data [database from 1993 to 2020], m)


AdriaClim RESM - NEMO - projection, 3h - SSH trend correction

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SSH_Corr_S (Sea Surface Height corrected to SLA satellite trend, m)


AdriaClim RESM - NEMO - projection, 3h - T subgrid 3D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Latent_Downward_Heat_Flux (Latent Downward Heat Flux over open ocean, W/m2)
Longwave_Downward_Heat_Flux (Longwave Downward Heat Flux over open ocean, W/m2)
Sensible_Downward_Heat_Flux (Sensible Downward Heat Flux over open ocean, W/m2)
sohefldo (Net Downward Heat Flux, W/m2)
sosaline (Sea Surface Salinity, PSU)
sosfldow (Downward salt flux, 0.001/m2/s)
soshfldo (Shortwave Radiation, W/m2)
sossheig (sea surface height, m)
sosstsst (Sea Surface Temperature, degree_C)
sowaflup (Net Upward Water Flux, kg/m2/s)
wind_speed_module (m/s)


AdriaClim RESM - NEMO - projection, 3h - U subgrid 3D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocean_surface_current_along_i (ocean surface current along i-axis, m/s)


AdriaClim RESM - NEMO - projection, 3h - V subgrid 3D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocean_surface_current_along_j (ocean surface current along j-axis, m/s)


AdriaClim RESM - NEMO - projection, day - Sea Level calibrated

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SL_S (Sea Level calibrated using SLA satellite data [database from 1993 to 2020], m)


AdriaClim RESM - NEMO - projection, day - Sea Level calibrated ster avg

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SL_S_ster_avg (Sea Level (steric component averaged over the Adriatic Sea basin) calibrated using SLA satellite data [database from 1993 to 2020], m)


AdriaClim RESM - NEMO - projection, day - SSH trend correction

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SSH_Corr_S (Sea Surface Height corrected to SLA satellite trend, m)


AdriaClim RESM - NEMO - projection, day - T subgrid 3D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sohefldo (Net Downward Heat Flux, W/m2)
somixhgt (Turbocline depth (Kz = 5e-4), m)
somxl010 (Mixed Layer Depth (dsigma = 0.01 wrt 10m), m)
sosaline (Sea Surface Salinity, PSU)
sosfldow (Downward salt flux, 0.001/m2/s)
sossheig (sea surface height, m)
sosstsst (Sea Surface Temperature, degree_C)
sowaflup (Net Upward Water Flux, kg/m2/s)


AdriaClim RESM - NEMO - projection, day - T subgrid 4D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
vosaline (Sea Water Salinity, PSU)
votemper (Sea Water Potential Temperature, degree_C)


AdriaClim RESM - NEMO - projection, day - U subgrid 3D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sozotaux (Surface Downward X Stress, N/m2)


AdriaClim RESM - NEMO - projection, day - U subgrid 4D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
uocetr_eff (Effective ocean transport along i-axis, m3/s)
vozocrtx (Sea Water X Velocity, m/s)


AdriaClim RESM - NEMO - projection, day - V subgrid 3D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sometauy (Surface Downward Y Stress, N/m2)


AdriaClim RESM - NEMO - projection, day - V subgrid 4D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
vocetr_eff (Effective ocean transport along j-axis, m3/s)
vomecrty (Sea Water Y Velocity, m/s)


AdriaClim RESM - NEMO - projection, day - W subgrid 4D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
voddmavs (salt vertical eddy diffusivity, m2/s)
vovecrtz (ocean vertical velocity, m/s)
wocetr_eff (effective ocean vertical transport, m3/s)


AdriaClim RESM - WRF - historical, 6h - Ancillary - cfrac

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][layer][latitude][longitude]):
cfrac (Cloud fraction -using WRF-NCL)


AdriaClim RESM - WRF - historical, 6h - Ancillary - slp

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
slp (Postprocessed Sea Level Pressure, Pa)


AdriaClim RESM - WRF - historical, 6h - Ancillary - Td_2m, tcc

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Td_2m (Dewpoint Temperature at 2 m, degree_C)
tcc (Total Cloud Cover)


AdriaClim RESM - WRF - historical, 6h - Ancillary - U10

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
U10 (U10m component - spatial+temporal correction, m s-1)


AdriaClim RESM - WRF - historical, 6h - Ancillary - V10

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
V10 (V10m component - spatial+temporal correction, m s-1)


AdriaClim RESM - WRF - historical, 6h - near surface

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
LH (Latent Heat Flux - Upward - at surface - instant, W m-2)
LW_d (Longwave Flux - Downward - at surface - instant, W m-2)
LandMask (Land Mask)
LandUse (Land Use Category)
SH (Sensible Heat Flux - Upward - at surface - instant, W m-2)
SST (Sea-Surface Temperature, K)
SW_d (Shortwave Flux - Downward - at surface - instant, W m-2)
SeaIce (Sea Ice)
T_2m (BIAS CORRECTED Temperature at 2 m, degree_C)
T_sfc (Temperature at the Surface, K)
Td_2m (Dewpoint Temperature at 2 m, degree_C)
albedo (Surface Albedo)
p_sfc (Pressure at the Surface, hPa)
precip_tot (BIAS CORRECTED 6 HOUR CUMULATED TOTAL RAINFALL, mm)
q_2m (Specific Humidity at 2 m, kg kg-1)
r_v_2m (Water Vapor Mixing Ratio at 2 m, kg kg-1)
rh_2m (Relative Humidity at 2 m, percent)
u_star (Friction Velocity (u*), m s-1)


AdriaClim RESM - WRF - projection, 6h - Ancillary - cfrac

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][layer][latitude][longitude]):
cfrac (Cloud fraction -using WRF-NCL)


AdriaClim RESM - WRF - projection, 6h - Ancillary - slp

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
slp (Postprocessed Sea Level Pressure, Pa)


AdriaClim RESM - WRF - projection, 6h - Ancillary - Td_2m, tcc

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Td_2m (Dewpoint Temperature at 2 m, degree_C)
tcc (Total Cloud Cover)


AdriaClim RESM - WRF - projection, 6h - Ancillary - U10

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
U10 (U10m component - spatial+temporal correction, m s-1)


AdriaClim RESM - WRF - projection, 6h - Ancillary - V10

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
V10 (V10m component - spatial+temporal correction, m s-1)


AdriaClim RESM - WRF - projection, 6h - near surface

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
LH (Latent Heat Flux - Upward - at surface - instant, W m-2)
LW_d (Longwave Flux - Downward - at surface - instant, W m-2)
LandMask (Land Mask)
LandUse (Land Use Category)
SH (Sensible Heat Flux - Upward - at surface - instant, W m-2)
SST (Sea-Surface Temperature, K)
SW_d (Shortwave Flux - Downward - at surface - instant, W m-2)
SeaIce (Sea Ice)
T_2m (BIAS CORRECTED Temperature at 2 m, degree_C)
T_sfc (Temperature at the Surface, K)
Td_2m (Dewpoint Temperature at 2 m, degree_C)
albedo (Surface Albedo)
p_sfc (Pressure at the Surface, hPa)
precip_tot (BIAS CORRECTED 6 HOUR CUMULATED TOTAL RAINFALL, mm)
q_2m (Specific Humidity at 2 m, kg kg-1)
r_v_2m (Water Vapor Mixing Ratio at 2 m, kg kg-1)
rh_2m (Relative Humidity at 2 m, percent)
u_star (Friction Velocity (u*), m s-1)


AdriaClim RESM - WRFHydro - historical - runoff merge

cdm_data_type = Other
VARIABLES:
time (Column#0, seconds since 1970-01-01T00:00:00Z)
station_id (Column#1)
longitude (Column#2, degrees_east)
latitude (degrees_north)
streamflow_m (Column#4)
streamflow_feet (Column#5)
water_level (Column#6)


AdriaClim RESM - WRFHydro - historical - runoff v1

cdm_data_type = Other
VARIABLES:
time (Column#1, seconds since 1970-01-01T00:00:00Z)
station_id (Column#2)
longitude (Column#3, degrees_east)
latitude (degrees_north)
streamflow_m (Column#5)
streamflow_feet (Column#6)
water_level (Column#7)


AdriaClim RESM - WRFHydro - historical - runoff v2

cdm_data_type = Other
VARIABLES:
time (Column#0, seconds since 1970-01-01T00:00:00Z)
station_id (Column#1)
longitude (Column#2, degrees_east)
latitude (degrees_north)
streamflow_m (Column#4)
streamflow_feet (Column#5)
water_level (Column#6)


AdriaClim RESM - WRFHydro - projection - runoff merge

cdm_data_type = Other
VARIABLES:
time (Column#0, seconds since 1970-01-01T00:00:00Z)
station_id (Column#1)
longitude (Column#2, degrees_east)
latitude (degrees_north)
streamflow_m (Column#4)
streamflow_feet (Column#5)
water_level (Column#6)


AdriaClim RESM - WRFHydro - projection - runoff v1

cdm_data_type = Other
VARIABLES:
time (Column#1, seconds since 1970-01-01T00:00:00Z)
station_id (Column#2)
longitude (Column#3, degrees_east)
latitude (degrees_north)
streamflow_m (Column#5)
streamflow_feet (Column#6)
water_level (Column#7)


AdriaClim RESM - WRFHydro - projection - runoff v2

cdm_data_type = Other
VARIABLES:
time (Column#0, seconds since 1970-01-01T00:00:00Z)
station_id (Column#1)
longitude (Column#2, degrees_east)
latitude (degrees_north)
streamflow_m (Column#4)
streamflow_feet (Column#5)
water_level (Column#6)


AdriaClim RESM - WW3 - COSMO WIND

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uwnd (Eastward Wind, m s-1)
vwnd (Northward Wind, m s-1)
hs (significant height of wind and swell waves, m)
lm (mean wave length, m)
t0m1 (mean period T0m1, s)
fp (wave peak frequency, s-1)
dir (wave mean direction, degree)
dp (peak direction, degree)
uust (eastward friction velocity, m s-1)
vust (northward friction velocity, m s-1)
uuss (eastward surface stokes drift, m s-1)
vuss (northward surface stokes drift, m s-1)
C (Drag coeff)


AdriaClim RESM - WW3 - NEW WRF WIND

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uwnd (Eastward Wind, m s-1)
vwnd (Northward Wind, m s-1)
hs (significant height of wind and swell waves, m)
lm (mean wave length, m)
t0m1 (mean period T0m1, s)
fp (wave peak frequency, s-1)
dir (wave mean direction, degree)
dp (peak direction, degree)
uust (eastward friction velocity, m s-1)
vust (northward friction velocity, m s-1)
uuss (eastward surface stokes drift, m s-1)
vuss (northward surface stokes drift, m s-1)
C (Drag coeff)


AdriaClim RESM - WW3 - Sea Surface State (historical, 3h)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uwnd (Eastward Wind, m s-1)
vwnd (Northward Wind, m s-1)
hs (significant height of wind and swell waves, m)
lm (mean wave length, m)
t0m1 (mean period T0m1, s)
fp (wave peak frequency, s-1)
dir (wave mean direction, degree)
dp (peak direction, degree)
uust (eastward friction velocity, m s-1)
vust (northward friction velocity, m s-1)
uuss (eastward surface stokes drift, m s-1)
vuss (northward surface stokes drift, m s-1)
C (Drag coeff)


AdriaClim RESM - WW3 - Sea Surface State (projection, 3h)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uwnd (Eastward Wind, m s-1)
vwnd (Northward Wind, m s-1)
hs (significant height of wind and swell waves, m)
lm (mean wave length, m)
t0m1 (mean period T0m1, s)
fp (wave peak frequency, s-1)
dir (wave mean direction, degree)
dp (peak direction, degree)
uust (eastward friction velocity, m s-1)
vust (northward friction velocity, m s-1)
uuss (eastward surface stokes drift, m s-1)
vuss (northward surface stokes drift, m s-1)
C (Drag coeff)


AdriaClim Simulations | Emilia Romagna | historical ssh

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
water_level (Water Surface Height Above Reference Datum, m)


AdriaClim Simulations | Emilia Romagna | historical tracers

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
salinity (Sea Water Practical Salinity, PSU)
temperature (Sea Water Temperature, degree_C)


AdriaClim Simulations | Emilia Romagna | historical tsl

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
water_level (Water Surface Height Above Reference Datum, m)


AdriaClim Simulations | Emilia Romagna | historical velocity

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)


AdriaClim Simulations | Emilia Romagna | projection ssh

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
water_level (Water Surface Height Above Reference Datum, m)


AdriaClim Simulations | Emilia Romagna | projection tracers

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
salinity (Sea Water Practical Salinity, PSU)
temperature (Sea Water Temperature, degree_C)


AdriaClim Simulations | Emilia Romagna | projection tsl

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
water_level (Water Surface Height Above Reference Datum, m)


AdriaClim Simulations | Emilia Romagna | projection velocity

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)


AdriaClim | BFM | historical, 1d

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
O2o (Oxygen, MMol' 'O2' 'M-3)


AdriaClim | BFM | historical, 5d

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
O2o (Oxygen, MMol' 'O2' 'M-3)
N1p (Phosphate, MMol' 'Pcount' 'M-3)
N3n (Nitrate, MMol' 'N' 'M-3)
Chla (Chlorophyll-a, mg Chl m-3)
N5s (Silicate, MMol' 'Si' 'M-3)
ALK (Alkalinity, umol eq kg-1)
DIC (Dissolved Inorganic Carbon, umol kg-1)
pH
P1c (Diatoms, mg degree_C m-3)
P2c (Flagellates, mg degree_C m-3)
P3c (PicoPhytoplankton, mg degree_C m-3)
P4c (LargePhytoplankton, mg degree_C m-3)
netPPYc (Net Primary Production (GPP-RES), mg degree_C m-3 day-1)


AdriaClim | BFM | projection, 1d

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
O2o (Oxygen, MMol' 'O2' 'M-3)


AdriaClim | BFM | projection, 5d

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
O2o (Oxygen, MMol' 'O2' 'M-3)
N1p (Phosphate, MMol' 'Pcount' 'M-3)
N3n (Nitrate, MMol' 'N' 'M-3)
Chla (Chlorophyll-a, mg Chl m-3)
N5s (Silicate, MMol' 'Si' 'M-3)
ALK (Alkalinity, umol eq kg-1)
DIC (Dissolved Inorganic Carbon, umol kg-1)
pH
P1c (Diatoms, mg degree_C m-3)
P2c (Flagellates, mg degree_C m-3)
P3c (PicoPhytoplankton, mg degree_C m-3)
P4c (LargePhytoplankton, mg degree_C m-3)
netPPYc (Net Primary Production (GPP-RES), mg degree_C m-3 day-1)


AdriaClim | EBM | Apulia, Ofanto River (historical)

cdm_data_type = Other
VARIABLES:
time (Column1, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Qul (outflowing volume flux, m^3/s)
Sul (upperlayer salinity, psu)
Qll (lower layer inflowing volume flux, m^3/s)
Qriver (river inflow, m^3/s)
Sll (lower layer salinity, psu)
Socean (salinity of barotropic ocean inflow, psu)
utide (flood tide phase velocity, m/s)
Qtide (flood tide phase inflowing volume flux, m^3/s)
Lx (estuary length, km)
Ck (adimensional mixing coefficient)
TSL (total sea level, m)


AdriaClim | EBM | Apulia, Ofanto River (projection)

cdm_data_type = Other
VARIABLES:
time (Column1, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Qul (outflowing volume flux, m^3/s)
Sul (upperlayer salinity, psu)
Qll (lower layer inflowing volume flux, m^3/s)
Qriver (river inflow, m^3/s)
Sll (lower layer salinity, psu)
Socean (salinity of barotropic ocean inflow, psu)
utide (flood tide phase velocity, m/s)
Qtide (flood tide phase inflowing volume flux, m^3/s)
Lx (estuary length, km)
Ck (adimensional mixing coefficient)
TSL (total sea level, m)


AdriaClim | ISPRA | Ancona (Air pressure)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
pres (Pressure)


AdriaClim | ISPRA | Ancona (Sea level)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
lev
lev_rad


AdriaClim | ISPRA | Ancona (Wind)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
wd (Wind From Direction)
wv (Northward Sea Water Velocity)


AdriaClim | ISPRA | Bari (Air pressure)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
pres (Pressure)


AdriaClim | ISPRA | Bari (Sea level)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
lev
lev_rad


AdriaClim | ISPRA | Bari (Wind)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
wd (Wind From Direction)
wv (Northward Sea Water Velocity)


AdriaClim | ISPRA | Caorle (Sea level)

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


AdriaClim | ISPRA | Chioggia Diga Sud (Sea level)

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


AdriaClim | ISPRA | curr EventPer InRange annual historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
curr_EventPer_InRange_annual (% of current between 0.03-0.1m/s given ALL measurments, percent)


AdriaClim | ISPRA | curr EventPer InRange annual projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
curr_EventPer_InRange_annual (% of current between 0.03-0.1m/s given ALL measurments, percent)


AdriaClim | ISPRA | curr EventPer InRange aut historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
curr_EventPer_InRange_aut (% of current between 0.03-0.1m/s given AUTUMN measurments, percent)


AdriaClim | ISPRA | curr EventPer InRange aut projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
curr_EventPer_InRange_aut (% of current between 0.03-0.1m/s given AUTUMN measurments, percent)


AdriaClim | ISPRA | curr EventPer InRange spr historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
curr_EventPer_InRange_spr (% of current between 0.03-0.1m/s given SPRING measurments, percent)


AdriaClim | ISPRA | curr EventPer InRange spr projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
curr_EventPer_InRange_spr (% of current between 0.03-0.1m/s given SPRING measurments, percent)


AdriaClim | ISPRA | curr EventPer InRange sum historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
curr_EventPer_InRange_sum (% of current between 0.03-0.1m/s given SUMMER measurments, percent)


AdriaClim | ISPRA | curr EventPer InRange sum projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
curr_EventPer_InRange_sum (% of current between 0.03-0.1m/s given SUMMER measurments, percent)


AdriaClim | ISPRA | curr EventPer InRange win historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
curr_EventPer_InRange_win (% of current between 0.03-0.1m/s given WINTER measurments, percent)


AdriaClim | ISPRA | curr EventPer InRange win projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
curr_EventPer_InRange_win (% of current between 0.03-0.1m/s given WINTER measurments, percent)


AdriaClim | ISPRA | curr EventValAve annual historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
curr_EventValAve_annual (10m-depth-average current speed in m/s given ALL measurments, m/s)


AdriaClim | ISPRA | curr EventValAve annual projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
curr_EventValAve_annual (10m-depth-average current speed in m/s given ALL measurments, m/s)


AdriaClim | ISPRA | curr EventValAve aut historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
curr_EventValAve_aut (10m-depth-average current speed in m/s given AUTUMN measurments, m/s)


AdriaClim | ISPRA | curr EventValAve aut projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
curr_EventValAve_aut (10m-depth-average current speed in m/s given AUTUMN measurments, m/s)


AdriaClim | ISPRA | curr EventValAve spr historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
curr_EventValAve_spr (10m-depth-average current speed in m/s given SPRING measurments, m/s)


AdriaClim | ISPRA | curr EventValAve spr projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
curr_EventValAve_spr (10m-depth-average current speed in m/s given SPRING measurments, m/s)


AdriaClim | ISPRA | curr EventValAve sum historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
curr_EventValAve_sum (10m-depth-average current speed in m/s given SUMMER measurments, m/s)


AdriaClim | ISPRA | curr EventValAve sum projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
curr_EventValAve_sum (10m-depth-average current speed in m/s given SUMMER measurments, m/s)


AdriaClim | ISPRA | curr EventValAve win historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
curr_EventValAve_win (10m-depth-average current speed in m/s given WINTER measurments, m/s)


AdriaClim | ISPRA | curr EventValAve win projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
curr_EventValAve_win (10m-depth-average current speed in m/s given WINTER measurments, m/s)


AdriaClim | ISPRA | Foce Po (Air pressure)

cdm_data_type = Point
VARIABLES:
time (datetime, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
pres (Pressure)


AdriaClim | ISPRA | Foce Po (Wind)

cdm_data_type = Point
VARIABLES:
time (datetime, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
WS
WD (Wind From Direction)


AdriaClim | ISPRA | Grado (Sea level)

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


AdriaClim | ISPRA | hs ave aut 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hs_ave_aut (Average of hs for AUTUMN measurments, percent)


AdriaClim | ISPRA | hs ave spr 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hs_ave_spr (Average of hs for SPRING measurments, percent)


AdriaClim | ISPRA | hs ave sum 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hs_ave_sum (Average of hs for SUMMER measurments, percent)


AdriaClim | ISPRA | hs ave win 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hs_ave_win (Average of hs for WINTER measurments, percent)


AdriaClim | ISPRA | hs PerRang1 total 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hs_PerRang1_total (Percentage of hs between 0.0-0.2m for ALL measurments, percent)


AdriaClim | ISPRA | hs PerRang2 total 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hs_PerRang2_total (Percentage of hs between 0.0-0.7m for ALL measurments, percent)


AdriaClim | ISPRA | hs PerRang3 total 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hs_PerRang3_total (Percentage of hs between 0.0-2.5m for ALL measurments, percent)


AdriaClim | ISPRA | hs PerRang4 total 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hs_PerRang4_total (Percentage of hs between 0.0-3.0m for ALL measurments, percent)


AdriaClim | ISPRA | hs PerRang5 total 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hs_PerRang5_total (Percentage of hs between 2.5-5.0m for ALL measurments, percent)


AdriaClim | ISPRA | hs PerRang6 total 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hs_PerRang6_total (Percentage of hs between 3.0-5.0m for ALL measurments, percent)


AdriaClim | ISPRA | hs PerRang7 total 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hs_PerRang7_total (Percentage of hs between 5.0-100m for ALL measurments, percent)


AdriaClim | ISPRA | Laguna Caleri-Moceniga (Air pressure)

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


AdriaClim | ISPRA | Laguna Caleri-Moceniga (Wind)

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
WS
WD (Wind From Direction)


AdriaClim | ISPRA | Lido Diga Sud (Sea level)

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


AdriaClim | ISPRA | Lido Meteo (Air pressure)

cdm_data_type = Point
VARIABLES:
time (datetime, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
pres (Pressure)


AdriaClim | ISPRA | Malamocco Diga Nord (Sea level)

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


AdriaClim | ISPRA | Ortona (Air pressure)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
pres (Pressure)


AdriaClim | ISPRA | Ortona (Sea level)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
lev
lev_rad


AdriaClim | ISPRA | Ortona (Wind)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
wd (Wind From Direction)
wv (Northward Sea Water Velocity)


AdriaClim | ISPRA | Otranto (Air pressure)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
pres (Pressure)


AdriaClim | ISPRA | Otranto (Sea level)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
lev
lev_rad


AdriaClim | ISPRA | Otranto (Wind)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
wd (Wind From Direction)
wv (Northward Sea Water Velocity)


AdriaClim | ISPRA | Piattaforma CNR (Wind)

cdm_data_type = Point
VARIABLES:
time (datetime, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
WS
WD (Wind From Direction)


AdriaClim | ISPRA | Porto Caleri (Sea level)

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


AdriaClim | ISPRA | Punta della Salute (Sea level)

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


AdriaClim | ISPRA | Ravenna (Air pressure)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
pres (Pressure)


AdriaClim | ISPRA | Ravenna (Sea level)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
lev
lev_rad


AdriaClim | ISPRA | Ravenna (Wind)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
wd (Wind From Direction)
wv (Northward Sea Water Velocity)


AdriaClim | ISPRA | Sacca Canarin (Air pressure)

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


AdriaClim | ISPRA | Sacca Canarin (Wind)

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
WS
WD (Wind From Direction)


AdriaClim | ISPRA | Sacca Scardovari (Air pressure)

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


AdriaClim | ISPRA | Sacca Scardovari (Wind)

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
WS
WD (Wind From Direction)


AdriaClim | ISPRA | SWChl EventPer InRange1 annual historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWChl_EventPer_InRange1_annual_historical (Percentage of 5m mean Chlorophill-a is >= 0.2 mg/m^3 given ALL measurments, percent)


AdriaClim | ISPRA | SWChl EventPer InRange1 annual projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWChl_EventPer_InRange1_annual_projection (Percentage of 5m mean Chlorophill-a is >= 0.2 mg/m^3 given ALL measurments, percent)


AdriaClim | ISPRA | SWChl EventPer InRange1 aut historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWChl_EventPer_InRange1_aut (Percentage of 5m mean Chlorophill-a is >= 0.2 mg/m^3 given AUTUMN measurments, percent)


AdriaClim | ISPRA | SWChl EventPer InRange1 aut projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWChl_EventPer_InRange1_aut (Percentage of 5m mean Chlorophill-a is >= 0.2 mg/m^3 given AUTUMN measurments, percent)


AdriaClim | ISPRA | SWChl EventPer InRange1 spr historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWChl_EventPer_InRange1_spr (Percentage of 5m mean Chlorophill-a is >= 0.2 mg/m^3 given SPRING measurments, percent)


AdriaClim | ISPRA | SWChl EventPer InRange1 spr projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWChl_EventPer_InRange1_spr (Percentage of 5m mean Chlorophill-a is >= 0.2 mg/m^3 given SPRING measurments, percent)


AdriaClim | ISPRA | SWChl EventPer InRange1 sum historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWChl_EventPer_InRange1_sum (Percentage of 5m mean Chlorophill-a is >= 0.2 mg/m^3 given SUMMER measurments, percent)


AdriaClim | ISPRA | SWChl EventPer InRange1 sum projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWChl_EventPer_InRange1_sum (Percentage of 5m mean Chlorophill-a is >= 0.2 mg/m^3 given SUMMER measurments, percent)


AdriaClim | ISPRA | SWChl EventPer InRange1 win historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWChl_EventPer_InRange1_win (Percentage of 5m mean Chlorophill-a is >= 0.2 mg/m^3 given WINTER measurments, percent)


AdriaClim | ISPRA | SWChl EventPer InRange1 win projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWChl_EventPer_InRange1_win (Percentage of 5m mean Chlorophill-a is >= 0.2 mg/m^3 given WINTER measurments, percent)


AdriaClim | ISPRA | SWOxy EventPer InRange1 annual historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWOxy_EventPer_InRange1_annual_historical (Percentage of 5m mean dissolved oxygen >= 6.5 mg/L given ALL measurments, percent)


AdriaClim | ISPRA | SWOxy EventPer InRange1 annual projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWOxy_EventPer_InRange1_annual_projection (Percentage of 5m mean dissolved oxygen >= 6.5 mg/L given ALL measurments, percent)


AdriaClim | ISPRA | SWOxy EventPer InRange1 aut historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWOxy_EventPer_InRange1_aut (Percentage of 5m mean dissolved oxygen >= 6.5 mg/L given AUTUMN measurments, percent)


AdriaClim | ISPRA | SWOxy EventPer InRange1 aut projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWOxy_EventPer_InRange1_aut (Percentage of 5m mean dissolved oxygen >= 6.5 mg/L given AUTUMN measurments, percent)


AdriaClim | ISPRA | SWOxy EventPer InRange1 spr historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWOxy_EventPer_InRange1_spr (Percentage of 5m mean dissolved oxygen >= 6.5 mg/L given SPRING measurments, percent)


AdriaClim | ISPRA | SWOxy EventPer InRange1 spr projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWOxy_EventPer_InRange1_spr (Percentage of 5m mean dissolved oxygen >= 6.5 mg/L given SPRING measurments, percent)


AdriaClim | ISPRA | SWOxy EventPer InRange1 sum historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWOxy_EventPer_InRange1_sum (Percentage of 5m mean dissolved oxygen >= 6.5 mg/L given SUMMER measurments, percent)


AdriaClim | ISPRA | SWOxy EventPer InRange1 sum projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWOxy_EventPer_InRange1_sum (Percentage of 5m mean dissolved oxygen >= 6.5 mg/L given SUMMER measurments, percent)


AdriaClim | ISPRA | SWOxy EventPer InRange1 win historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWOxy_EventPer_InRange1_win (Percentage of 5m mean dissolved oxygen >= 6.5 mg/L given WINTER measurments, percent)


AdriaClim | ISPRA | SWOxy EventPer InRange1 win projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWOxy_EventPer_InRange1_win (Percentage of 5m mean dissolved oxygen >= 6.5 mg/L given WINTER measurments, percent)


AdriaClim | ISPRA | SWTemp EventPer InRange1 annual historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWTemp_EventPer_InRange1_annual_historical (Percentage of Sea Water Temperature between 18-26 centigrade degree given ALL measurments, percent)


AdriaClim | ISPRA | SWTemp EventPer InRange1 annual projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWTemp_EventPer_InRange1_annual_projection (Percentage of Sea Water Temperature between 18-26 centigrade degree given ALL measurments, percent)


AdriaClim | ISPRA | SWTemp EventPer InRange1 aut historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWTemp_EventPer_InRange1_aut (Percentage of Sea Water Temperature between 18-26 centigrade degree given AUTUMN measurments, percent)


AdriaClim | ISPRA | SWTemp EventPer InRange1 aut projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWTemp_EventPer_InRange1_aut (Percentage of Sea Water Temperature between 18-26 centigrade degree given AUTUMN measurments, percent)


AdriaClim | ISPRA | SWTemp EventPer InRange1 spr historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWTemp_EventPer_InRange1_spr (Percentage of Sea Water Temperature between 18-26 centigrade degree given SPRING measurments, percent)


AdriaClim | ISPRA | SWTemp EventPer InRange1 spr projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWTemp_EventPer_InRange1_spr (Percentage of Sea Water Temperature between 18-26 centigrade degree given SPRING measurments, percent)


AdriaClim | ISPRA | SWTemp EventPer InRange1 sum historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWTemp_EventPer_InRange1_sum (Percentage of Sea Water Temperature between 18-26 centigrade degree given SUMMER measurments, percent)


AdriaClim | ISPRA | SWTemp EventPer InRange1 sum projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWTemp_EventPer_InRange1_sum (Percentage of Sea Water Temperature between 18-26 centigrade degree given SUMMER measurments, percent)


AdriaClim | ISPRA | SWTemp EventPer InRange1 win historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWTemp_EventPer_InRange1_win (Percentage of Sea Water Temperature between 18-26 centigrade degree given WINTER measurments, percent)


AdriaClim | ISPRA | SWTemp EventPer InRange1 win projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWTemp_EventPer_InRange1_win (Percentage of Sea Water Temperature between 18-26 centigrade degree given WINTER measurments, percent)


AdriaClim | ISPRA | SWTemp EventPer InRange2 annual historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWTemp_EventPer_InRange2_annual_historical (Percentage of Sea Water Temperature between 10-24 centigrade degree given ALL measurments, percent)


AdriaClim | ISPRA | SWTemp EventPer InRange2 annual projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWTemp_EventPer_InRange2_annual_projection (Percentage of Sea Water Temperature between 10-24 centigrade degree given ALL measurments, percent)


AdriaClim | ISPRA | SWTemp EventPer InRange2 aut historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWTemp_EventPer_InRange2_aut (Percentage of Sea Water Temperature between 10-24 centigrade degree given AUTUMN measurments, percent)


AdriaClim | ISPRA | SWTemp EventPer InRange2 aut projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWTemp_EventPer_InRange2_aut (Percentage of Sea Water Temperature between 10-24 centigrade degree given AUTUMN measurments, percent)


AdriaClim | ISPRA | SWTemp EventPer InRange2 spr historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWTemp_EventPer_InRange2_spr (Percentage of Sea Water Temperature between 10-24 centigrade degree given SPRING measurments, percent)


AdriaClim | ISPRA | SWTemp EventPer InRange2 spr projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWTemp_EventPer_InRange2_spr (Percentage of Sea Water Temperature between 10-24 centigrade degree given SPRING measurments, percent)


AdriaClim | ISPRA | SWTemp EventPer InRange2 sum historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWTemp_EventPer_InRange2_sum (Percentage of Sea Water Temperature between 10-24 centigrade degree given SUMMER measurments, percent)


AdriaClim | ISPRA | SWTemp EventPer InRange2 sum projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWTemp_EventPer_InRange2_sum (Percentage of Sea Water Temperature between 10-24 centigrade degree given SUMMER measurments, percent)


AdriaClim | ISPRA | SWTemp EventPer InRange2 win historical 1992 2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWTemp_EventPer_InRange2_win (Percentage of Sea Water Temperature between 10-24 centigrade degree given WINTER measurments, percent)


AdriaClim | ISPRA | SWTemp EventPer InRange2 win projection 2022 2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SWTemp_EventPer_InRange2_win (Percentage of Sea Water Temperature between 10-24 centigrade degree given WINTER measurments, percent)


AdriaClim | ISPRA | Trieste (Air pressure)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
pres (Pressure)


AdriaClim | ISPRA | Trieste (Sea level)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
lev
lev_rad


AdriaClim | ISPRA | Trieste (Wind)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
wd (Wind From Direction)
wv (Northward Sea Water Velocity)


AdriaClim | ISPRA | Venezia (Air pressure)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
pres (Pressure)


AdriaClim | ISPRA | Venezia (Sea level)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
lev
lev_rad


AdriaClim | ISPRA | Venezia (Wind)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
wd (Wind From Direction)
wv (Northward Sea Water Velocity)


AdriaClim | ISPRA | Vieste (Air pressure)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
pres (Pressure)


AdriaClim | ISPRA | Vieste (Sea level)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
lev
lev_rad


AdriaClim | ISPRA | Vieste (Wind)

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
wd (Wind From Direction)
wv (Northward Sea Water Velocity)


AdriaClimPlus | CMCC | EvalRUN | NEMO | 1990-1999 | 2D ocean T grid variables 3h

AdriaClimPlus | NEMO | EvalRUN | 3-hourly ocean T grid variables

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sossheig (Sea Surface Height Above Geoid, m)
vosaline (Sea Surface Water Salinity, PSU)
votemper (Sea Surface Water Potential Temperature, degree_C)
wspd (Wind Speed Module, m s-1)


OF data from a local source.The dataset includes continuously measured air pressureat Metkovic in the Neretva river(Croatia). The time series starts on November 3,2022, 09 (UTC+1), and will be updated weekly. The air pressure is given in hPa. 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)
AIR_PRESSURE (sea level pressure, hPa)


IOF data from a local source.The dataset includes continuously measured air temperatures at Metkovic in the Neretva river(Croatia). The time series starts on November 3,2022, 09 (UTC+1), and will be updated weekly. The temperature is given in degrees Celsius. 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)
AIR_TEMP (degree_C)


ARPAV_PRCPTOT_hist_anomaly_VenetoGrid_monthly_1993_2011 (nc,, ARPAV PRCPTOT hist anomaly VenetoGrid monthly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
PRCPTOT (Precipitazione - PRCPTOT, mm)


ARPAV_PRCPTOT_hist_anomaly_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV PRCPTOT hist anomaly VenetoGrid seasonal 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
PRCPTOT (Precipitazione - PRCPTOT, mm)


ARPAV_PRCPTOT_hist_anomaly_VenetoGrid_yearly_1993_2011 (nc,, ARPAV PRCPTOT hist anomaly VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
PRCPTOT (Precipitazione - PRCPTOT, mm)


ARPAV PRCPTOT hist trend VenetoGrid monthly 1993 2011, 1991

ARPAV_PRCPTOT_hist_trend_VenetoGrid_monthly_1993_2011 (nc,, ARPAV PRCPTOT hist trend VenetoGrid monthly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
PRCPTOT_trend_1993_2011 (Precipitazione - PRCPTOT_trend_1993_2011, mm per year)
PRCPTOT_pvalue_1993_2011 (Precipitazione - PRCPTOT_pvalue_1993_2011)
PRCPTOT_avg_1993_2011 (Precipitazione - PRCPTOT_avg_1993_2011, mm)


ARPAV PRCPTOT hist trend VenetoGrid seasonal 1993 2011, 1991

ARPAV_PRCPTOT_hist_trend_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV PRCPTOT hist trend VenetoGrid seasonal 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
PRCPTOT_trend_1993_2011 (Precipitazione - PRCPTOT_trend_1993_2011, mm per year)
PRCPTOT_pvalue_1993_2011 (Precipitazione - PRCPTOT_pvalue_1993_2011)
PRCPTOT_avg_1993_2011 (Precipitazione - PRCPTOT_avg_1993_2011, mm)


ARPAV PRCPTOT hist trend VenetoGrid yearly 1993 2011, 1991

ARPAV_PRCPTOT_hist_trend_VenetoGrid_yearly_1993_2011 (nc,, ARPAV PRCPTOT hist trend VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
PRCPTOT_trend_1993_2011 (Precipitazione - PRCPTOT_trend_1993_2011, mm per year)
PRCPTOT_pvalue_1993_2011 (Precipitazione - PRCPTOT_pvalue_1993_2011)
PRCPTOT_avg_1993_2011 (Precipitazione - PRCPTOT_avg_1993_2011, mm)


ARPAV_PRCPTOT_hist_VenetoGrid_monthly_1993_2022 (nc,, ARPAV PRCPTOT hist VenetoGrid monthly 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
PRCPTOT (Precipitazione - PRCPTOT, mm)


ARPAV_PRCPTOT_hist_VenetoGrid_seasonal_1993_2022 (nc,, ARPAV PRCPTOT hist VenetoGrid seasonal 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
PRCPTOT (Precipitazione - PRCPTOT, mm)


ARPAV_PRCPTOT_hist_VenetoGrid_yearly_1993_2022 (nc,, ARPAV PRCPTOT hist VenetoGrid yearly 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
PRCPTOT (Precipitazione - PRCPTOT, mm)


ARPAV_R95pTOT_hist_anomaly_VenetoGrid_monthly_1993_2011 (nc,, ARPAV R95pTOT hist anomaly VenetoGrid monthly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
R95pTOT (R95pTOT piogge intense - R95pTOT, mm)


ARPAV_R95pTOT_hist_anomaly_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV R95pTOT hist anomaly VenetoGrid seasonal 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
R95pTOT (R95pTOT piogge intense - R95pTOT, mm)


ARPAV_R95pTOT_hist_anomaly_VenetoGrid_yearly_1993_2011 (nc,, ARPAV R95pTOT hist anomaly VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
R95pTOT (R95pTOT piogge intense - R95pTOT, mm)


ARPAV R95pTOT hist trend VenetoGrid monthly 1993 2011, 1991

ARPAV_R95pTOT_hist_trend_VenetoGrid_monthly_1993_2011 (nc,, ARPAV R95pTOT hist trend VenetoGrid monthly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
R95pTOT_trend_1993_2011 (R95pTOT piogge intense - R95pTOT_trend_1993_2011, mm per year)
R95pTOT_pvalue_1993_2011 (R95pTOT piogge intense - R95pTOT_pvalue_1993_2011)
R95pTOT_avg_1993_2011 (R95pTOT piogge intense - R95pTOT_avg_1993_2011, mm)


ARPAV R95pTOT hist trend VenetoGrid seasonal 1993 2011, 1991

ARPAV_R95pTOT_hist_trend_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV R95pTOT hist trend VenetoGrid seasonal 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
R95pTOT_trend_1993_2011 (R95pTOT piogge intense - R95pTOT_trend_1993_2011, mm per year)
R95pTOT_pvalue_1993_2011 (R95pTOT piogge intense - R95pTOT_pvalue_1993_2011)
R95pTOT_avg_1993_2011 (R95pTOT piogge intense - R95pTOT_avg_1993_2011, mm)


ARPAV R95pTOT hist trend VenetoGrid yearly 1993 2011, 1991

ARPAV_R95pTOT_hist_trend_VenetoGrid_yearly_1993_2011 (nc,, ARPAV R95pTOT hist trend VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
R95pTOT_trend_1993_2011 (R95pTOT piogge intense - R95pTOT_trend_1993_2011, mm per year)
R95pTOT_pvalue_1993_2011 (R95pTOT piogge intense - R95pTOT_pvalue_1993_2011)
R95pTOT_avg_1993_2011 (R95pTOT piogge intense - R95pTOT_avg_1993_2011, mm)


ARPAV_R95pTOT_hist_VenetoGrid_monthly_1993_2022 (nc,, ARPAV R95pTOT hist VenetoGrid monthly 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
R95pTOT (R95pTOT piogge intense - R95pTOT, mm)


ARPAV_R95pTOT_hist_VenetoGrid_seasonal_1993_2022 (nc,, ARPAV R95pTOT hist VenetoGrid seasonal 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
R95pTOT (R95pTOT piogge intense - R95pTOT, mm)


ARPAV_R95pTOT_hist_VenetoGrid_yearly_1993_2022 (nc,, ARPAV R95pTOT hist VenetoGrid yearly 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
R95pTOT (R95pTOT piogge intense - R95pTOT, mm)


ARPAV_RX1day_hist_anomaly_VenetoGrid_monthly_1993_2011 (nc,, ARPAV RX1day hist anomaly VenetoGrid monthly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
RX1day (Massima precipitazione cumulata in 1 giorno - RX1day, mm)


ARPAV_RX1day_hist_anomaly_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV RX1day hist anomaly VenetoGrid seasonal 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
RX1day (Massima precipitazione cumulata in 1 giorno - RX1day, mm)


ARPAV_RX1day_hist_anomaly_VenetoGrid_yearly_1993_2011 (nc,, ARPAV RX1day hist anomaly VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
RX1day (Massima precipitazione cumulata in 1 giorno - RX1day, mm)


ARPAV RX1day hist trend VenetoGrid monthly 1993 2011, 1991

ARPAV_RX1day_hist_trend_VenetoGrid_monthly_1993_2011 (nc,, ARPAV RX1day hist trend VenetoGrid monthly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
RX1day_trend_1993_2011 (Massima precipitazione cumulata in 1 giorno - RX1day_trend_1993_2011, mm per year)
RX1day_pvalue_1993_2011 (Massima precipitazione cumulata in 1 giorno - RX1day_pvalue_1993_2011)
RX1day_avg_1993_2011 (Massima precipitazione cumulata in 1 giorno - RX1day_avg_1993_2011, mm)


ARPAV RX1day hist trend VenetoGrid seasonal 1993 2011, 1991

ARPAV_RX1day_hist_trend_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV RX1day hist trend VenetoGrid seasonal 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
RX1day_trend_1993_2011 (Massima precipitazione cumulata in 1 giorno - RX1day_trend_1993_2011, mm per year)
RX1day_pvalue_1993_2011 (Massima precipitazione cumulata in 1 giorno - RX1day_pvalue_1993_2011)
RX1day_avg_1993_2011 (Massima precipitazione cumulata in 1 giorno - RX1day_avg_1993_2011, mm)


ARPAV RX1day hist trend VenetoGrid yearly 1993 2011, 1991

ARPAV_RX1day_hist_trend_VenetoGrid_yearly_1993_2011 (nc,, ARPAV RX1day hist trend VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
RX1day_trend_1993_2011 (Massima precipitazione cumulata in 1 giorno - RX1day_trend_1993_2011, mm per year)
RX1day_pvalue_1993_2011 (Massima precipitazione cumulata in 1 giorno - RX1day_pvalue_1993_2011)
RX1day_avg_1993_2011 (Massima precipitazione cumulata in 1 giorno - RX1day_avg_1993_2011, mm)


ARPAV_RX1day_hist_VenetoGrid_monthly_1993_2022 (nc,, ARPAV RX1day hist VenetoGrid monthly 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
RX1day (Massima precipitazione cumulata in 1 giorno - RX1day, mm)


ARPAV_RX1day_hist_VenetoGrid_seasonal_1993_2022 (nc,, ARPAV RX1day hist VenetoGrid seasonal 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
RX1day (Massima precipitazione cumulata in 1 giorno - RX1day, mm)


ARPAV_RX1day_hist_VenetoGrid_yearly_1993_2022 (nc,, ARPAV RX1day hist VenetoGrid yearly 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
RX1day (Massima precipitazione cumulata in 1 giorno - RX1day, mm)


ARPAV_RX5day_hist_anomaly_VenetoGrid_monthly_1993_2011 (nc,, ARPAV RX5day hist anomaly VenetoGrid monthly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
RX5day (Massima precipitazione cumulata in 5 giorni consecutivi - RX5day, mm)


ARPAV_RX5day_hist_anomaly_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV RX5day hist anomaly VenetoGrid seasonal 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
RX5day (Massima precipitazione cumulata in 5 giorni consecutivi - RX5day, mm)


ARPAV_RX5day_hist_anomaly_VenetoGrid_yearly_1993_2011 (nc,, ARPAV RX5day hist anomaly VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
RX5day (Massima precipitazione cumulata in 5 giorni consecutivi - RX5day, mm)


ARPAV RX5day hist trend VenetoGrid monthly 1993 2011, 1991

ARPAV_RX5day_hist_trend_VenetoGrid_monthly_1993_2011 (nc,, ARPAV RX5day hist trend VenetoGrid monthly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
RX5day_trend_1993_2011 (Massima precipitazione cumulata in 5 giorni consecutivi - RX5day_trend_1993_2011, mm per year)
RX5day_pvalue_1993_2011 (Massima precipitazione cumulata in 5 giorni consecutivi - RX5day_pvalue_1993_2011)
RX5day_avg_1993_2011 (Massima precipitazione cumulata in 5 giorni consecutivi - RX5day_avg_1993_2011, mm)


ARPAV RX5day hist trend VenetoGrid seasonal 1993 2011, 1991

ARPAV_RX5day_hist_trend_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV RX5day hist trend VenetoGrid seasonal 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
RX5day_trend_1993_2011 (Massima precipitazione cumulata in 5 giorni consecutivi - RX5day_trend_1993_2011, mm per year)
RX5day_pvalue_1993_2011 (Massima precipitazione cumulata in 5 giorni consecutivi - RX5day_pvalue_1993_2011)
RX5day_avg_1993_2011 (Massima precipitazione cumulata in 5 giorni consecutivi - RX5day_avg_1993_2011, mm)


ARPAV RX5day hist trend VenetoGrid yearly 1993 2011, 1991

ARPAV_RX5day_hist_trend_VenetoGrid_yearly_1993_2011 (nc,, ARPAV RX5day hist trend VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
RX5day_trend_1993_2011 (Massima precipitazione cumulata in 5 giorni consecutivi - RX5day_trend_1993_2011, mm per year)
RX5day_pvalue_1993_2011 (Massima precipitazione cumulata in 5 giorni consecutivi - RX5day_pvalue_1993_2011)
RX5day_avg_1993_2011 (Massima precipitazione cumulata in 5 giorni consecutivi - RX5day_avg_1993_2011, mm)


ARPAV_RX5day_hist_VenetoGrid_monthly_1993_2022 (nc,, ARPAV RX5day hist VenetoGrid monthly 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
RX5day (Massima precipitazione cumulata in 5 giorni consecutivi - RX5day, mm)


ARPAV_RX5day_hist_VenetoGrid_seasonal_1993_2022 (nc,, ARPAV RX5day hist VenetoGrid seasonal 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
RX5day (Massima precipitazione cumulata in 5 giorni consecutivi - RX5day, mm)


ARPAV_RX5day_hist_VenetoGrid_yearly_1993_2022 (nc,, ARPAV RX5day hist VenetoGrid yearly 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
RX5day (Massima precipitazione cumulata in 5 giorni consecutivi - RX5day, mm)


ARPAV_SDII_hist_anomaly_VenetoGrid_monthly_1993_2011 (nc,, ARPAV SDII hist anomaly VenetoGrid monthly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SDII (IntensitÃ  giornaliera di precipitazione - SDII, MM/g)


ARPAV_SDII_hist_anomaly_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV SDII hist anomaly VenetoGrid seasonal 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SDII (IntensitÃ  giornaliera di precipitazione - SDII, MM/g)


ARPAV_SDII_hist_anomaly_VenetoGrid_yearly_1993_2011 (nc,, ARPAV SDII hist anomaly VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SDII (IntensitÃ  giornaliera di precipitazione - SDII, MM/g)


ARPAV SDII hist trend VenetoGrid monthly 1993 2011, 1991

ARPAV_SDII_hist_trend_VenetoGrid_monthly_1993_2011 (nc,, ARPAV SDII hist trend VenetoGrid monthly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SDII_trend_1993_2011 (IntensitÃ  giornaliera di precipitazione - SDII_trend_1993_2011, mm/g per year)
SDII_pvalue_1993_2011 (IntensitÃ  giornaliera di precipitazione - SDII_pvalue_1993_2011)
SDII_avg_1993_2011 (IntensitÃ  giornaliera di precipitazione - SDII_avg_1993_2011, MM/g)


ARPAV SDII hist trend VenetoGrid seasonal 1993 2011, 1991

ARPAV_SDII_hist_trend_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV SDII hist trend VenetoGrid seasonal 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SDII_trend_1993_2011 (IntensitÃ  giornaliera di precipitazione - SDII_trend_1993_2011, mm/g per year)
SDII_pvalue_1993_2011 (IntensitÃ  giornaliera di precipitazione - SDII_pvalue_1993_2011)
SDII_avg_1993_2011 (IntensitÃ  giornaliera di precipitazione - SDII_avg_1993_2011, MM/g)


ARPAV SDII hist trend VenetoGrid yearly 1993 2011, 1991

ARPAV_SDII_hist_trend_VenetoGrid_yearly_1993_2011 (nc,, ARPAV SDII hist trend VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SDII_trend_1993_2011 (IntensitÃ  giornaliera di precipitazione - SDII_trend_1993_2011, mm/g per year)
SDII_pvalue_1993_2011 (IntensitÃ  giornaliera di precipitazione - SDII_pvalue_1993_2011)
SDII_avg_1993_2011 (IntensitÃ  giornaliera di precipitazione - SDII_avg_1993_2011, MM/g)


ARPAV_SDII_hist_VenetoGrid_monthly_1993_2022 (nc,, ARPAV SDII hist VenetoGrid monthly 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SDII (IntensitÃ  giornaliera di precipitazione - SDII, MM/g)


ARPAV_SDII_hist_VenetoGrid_seasonal_1993_2022 (nc,, ARPAV SDII hist VenetoGrid seasonal 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SDII (IntensitÃ  giornaliera di precipitazione - SDII, MM/g)


ARPAV_SDII_hist_VenetoGrid_yearly_1993_2022 (nc,, ARPAV SDII hist VenetoGrid yearly 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SDII (IntensitÃ  giornaliera di precipitazione - SDII, MM/g)


ARPAV_SU30_hist_anomaly_VenetoGrid_monthly_1993_2011 (nc,, ARPAV SU30 hist anomaly VenetoGrid monthly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SU30 (Giornate calde - SU30, gg)


ARPAV_SU30_hist_anomaly_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV SU30 hist anomaly VenetoGrid seasonal 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SU30 (Giornate calde - SU30, gg)


ARPAV_SU30_hist_anomaly_VenetoGrid_yearly_1993_2011 (nc,, ARPAV SU30 hist anomaly VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SU30 (Giornate calde - SU30, gg)


ARPAV SU30 hist trend VenetoGrid monthly 1993 2011, 1991

ARPAV_SU30_hist_trend_VenetoGrid_monthly_1993_2011 (nc,, ARPAV SU30 hist trend VenetoGrid monthly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SU30_trend_1993_2011 (Giornate calde - SU30_trend_1993_2011, gg per year)
SU30_pvalue_1993_2011 (Giornate calde - SU30_pvalue_1993_2011)
SU30_avg_1993_2011 (Giornate calde - SU30_avg_1993_2011, gg)


ARPAV SU30 hist trend VenetoGrid seasonal 1993 2011, 1991

ARPAV_SU30_hist_trend_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV SU30 hist trend VenetoGrid seasonal 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SU30_trend_1993_2011 (Giornate calde - SU30_trend_1993_2011, gg per year)
SU30_pvalue_1993_2011 (Giornate calde - SU30_pvalue_1993_2011)
SU30_avg_1993_2011 (Giornate calde - SU30_avg_1993_2011, gg)


ARPAV SU30 hist trend VenetoGrid yearly 1993 2011, 1991

ARPAV_SU30_hist_trend_VenetoGrid_yearly_1993_2011 (nc,, ARPAV SU30 hist trend VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SU30_trend_1993_2011 (Giornate calde - SU30_trend_1993_2011, gg per year)
SU30_pvalue_1993_2011 (Giornate calde - SU30_pvalue_1993_2011)
SU30_avg_1993_2011 (Giornate calde - SU30_avg_1993_2011, gg)


ARPAV_SU30_hist_VenetoGrid_monthly_1993_2022 (nc,, ARPAV SU30 hist VenetoGrid monthly 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SU30 (Giornate calde - SU30, gg)


ARPAV_SU30_hist_VenetoGrid_seasonal_1993_2022 (nc,, ARPAV SU30 hist VenetoGrid seasonal 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SU30 (Giornate calde - SU30, gg)


ARPAV_SU30_hist_VenetoGrid_yearly_1993_2022 (nc,, ARPAV SU30 hist VenetoGrid yearly 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SU30 (Giornate calde - SU30, gg)


ARPAV_TDd_hist_anomaly_VenetoGrid_monthly_1993_2011 (nc,, ARPAV TDd hist anomaly VenetoGrid monthly 1993 2011)

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


ARPAV_TDd_hist_anomaly_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV TDd hist anomaly VenetoGrid seasonal 1993 2011)

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


ARPAV_TDd_hist_anomaly_VenetoGrid_yearly_1993_2011 (nc,, ARPAV TDd hist anomaly VenetoGrid yearly 1993 2011)

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


ARPAV TDd hist trend VenetoGrid monthly 1993 2011, 1991

ARPAV_TDd_hist_trend_VenetoGrid_monthly_1993_2011 (nc,, ARPAV TDd hist trend VenetoGrid monthly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TDd_trend_1993_2011 (Temperatura media - TDd_trend_1993_2011, Â°C per year)
TDd_pvalue_1993_2011 (Temperatura media - TDd_pvalue_1993_2011)
TDd_avg_1993_2011 (Temperatura media - TDd_avg_1993_2011, Â°C)


ARPAV TDd hist trend VenetoGrid seasonal 1993 2011, 1991

ARPAV_TDd_hist_trend_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV TDd hist trend VenetoGrid seasonal 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TDd_trend_1993_2011 (Temperatura media - TDd_trend_1993_2011, Â°C per year)
TDd_pvalue_1993_2011 (Temperatura media - TDd_pvalue_1993_2011)
TDd_avg_1993_2011 (Temperatura media - TDd_avg_1993_2011, Â°C)


ARPAV TDd hist trend VenetoGrid yearly 1993 2011, 1991

ARPAV_TDd_hist_trend_VenetoGrid_yearly_1993_2011 (nc,, ARPAV TDd hist trend VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TDd_trend_1993_2011 (Temperatura media - TDd_trend_1993_2011, Â°C per year)
TDd_pvalue_1993_2011 (Temperatura media - TDd_pvalue_1993_2011)
TDd_avg_1993_2011 (Temperatura media - TDd_avg_1993_2011, Â°C)


ARPAV_TDd_hist_VenetoGrid_monthly_1993_2022 (nc,, ARPAV TDd hist VenetoGrid monthly 1993 2022)

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


ARPAV_TDd_hist_VenetoGrid_seasonal_1993_2022 (nc,, ARPAV TDd hist VenetoGrid seasonal 1993 2022)

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


ARPAV_TDd_hist_VenetoGrid_yearly_1993_2022 (nc,, ARPAV TDd hist VenetoGrid yearly 1993 2022)

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


ARPAV_TNd_hist_anomaly_VenetoGrid_monthly_1993_2011 (nc,, ARPAV TNd hist anomaly VenetoGrid monthly 1993 2011)

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


ARPAV_TNd_hist_anomaly_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV TNd hist anomaly VenetoGrid seasonal 1993 2011)

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


ARPAV_TNd_hist_anomaly_VenetoGrid_yearly_1993_2011 (nc,, ARPAV TNd hist anomaly VenetoGrid yearly 1993 2011)

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


ARPAV TNd hist trend VenetoGrid monthly 1993 2011, 1991

ARPAV_TNd_hist_trend_VenetoGrid_monthly_1993_2011 (nc,, ARPAV TNd hist trend VenetoGrid monthly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TNd_trend_1993_2011 (Temperatura minima - TNd_trend_1993_2011, Â°C per year)
TNd_pvalue_1993_2011 (Temperatura minima - TNd_pvalue_1993_2011)
TNd_avg_1993_2011 (Temperatura minima - TNd_avg_1993_2011, Â°C)


ARPAV TNd hist trend VenetoGrid seasonal 1993 2011, 1991

ARPAV_TNd_hist_trend_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV TNd hist trend VenetoGrid seasonal 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TNd_trend_1993_2011 (Temperatura minima - TNd_trend_1993_2011, Â°C per year)
TNd_pvalue_1993_2011 (Temperatura minima - TNd_pvalue_1993_2011)
TNd_avg_1993_2011 (Temperatura minima - TNd_avg_1993_2011, Â°C)


ARPAV TNd hist trend VenetoGrid yearly 1993 2011, 1991

ARPAV_TNd_hist_trend_VenetoGrid_yearly_1993_2011 (nc,, ARPAV TNd hist trend VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TNd_trend_1993_2011 (Temperatura minima - TNd_trend_1993_2011, Â°C per year)
TNd_pvalue_1993_2011 (Temperatura minima - TNd_pvalue_1993_2011)
TNd_avg_1993_2011 (Temperatura minima - TNd_avg_1993_2011, Â°C)


ARPAV_TNd_hist_VenetoGrid_monthly_1993_2022 (nc,, ARPAV TNd hist VenetoGrid monthly 1993 2022)

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


ARPAV_TNd_hist_VenetoGrid_seasonal_1993_2022 (nc,, ARPAV TNd hist VenetoGrid seasonal 1993 2022)

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


ARPAV_TNd_hist_VenetoGrid_yearly_1993_2022 (nc,, ARPAV TNd hist VenetoGrid yearly 1993 2022)

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


ARPAV_TR_hist_anomaly_VenetoGrid_monthly_1993_2011 (nc,, ARPAV TR hist anomaly VenetoGrid monthly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TR (Notti tropicali - TR, gg)


ARPAV_TR_hist_anomaly_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV TR hist anomaly VenetoGrid seasonal 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TR (Notti tropicali - TR, gg)


ARPAV_TR_hist_anomaly_VenetoGrid_yearly_1993_2011 (nc,, ARPAV TR hist anomaly VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TR (Notti tropicali - TR, gg)


ARPAV TR hist trend VenetoGrid monthly 1993 2011, 1991

ARPAV_TR_hist_trend_VenetoGrid_monthly_1993_2011 (nc,, ARPAV TR hist trend VenetoGrid monthly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TR_trend_1993_2011 (Notti tropicali - TR_trend_1993_2011, gg per year)
TR_pvalue_1993_2011 (Notti tropicali - TR_pvalue_1993_2011)
TR_avg_1993_2011 (Notti tropicali - TR_avg_1993_2011, gg)


ARPAV TR hist trend VenetoGrid seasonal 1993 2011, 1991

ARPAV_TR_hist_trend_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV TR hist trend VenetoGrid seasonal 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TR_trend_1993_2011 (Notti tropicali - TR_trend_1993_2011, gg per year)
TR_pvalue_1993_2011 (Notti tropicali - TR_pvalue_1993_2011)
TR_avg_1993_2011 (Notti tropicali - TR_avg_1993_2011, gg)


ARPAV TR hist trend VenetoGrid yearly 1993 2011, 1991

ARPAV_TR_hist_trend_VenetoGrid_yearly_1993_2011 (nc,, ARPAV TR hist trend VenetoGrid yearly 1993 2011)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TR_trend_1993_2011 (Notti tropicali - TR_trend_1993_2011, gg per year)
TR_pvalue_1993_2011 (Notti tropicali - TR_pvalue_1993_2011)
TR_avg_1993_2011 (Notti tropicali - TR_avg_1993_2011, gg)


ARPAV_TR_hist_VenetoGrid_monthly_1993_2022 (nc,, ARPAV TR hist VenetoGrid monthly 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TR (Notti tropicali - TR, gg)


ARPAV_TR_hist_VenetoGrid_seasonal_1993_2022 (nc,, ARPAV TR hist VenetoGrid seasonal 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TR (Notti tropicali - TR, gg)


ARPAV_TR_hist_VenetoGrid_yearly_1993_2022 (nc,, ARPAV TR hist VenetoGrid yearly 1993 2022)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TR (Notti tropicali - TR, gg)


ARPAV_TX90p_hist_anomaly_VenetoGrid_monthly_1993_2011 (nc,, ARPAV TX90p hist anomaly VenetoGrid monthly 1993 2011)

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


ARPAV_TX90p_hist_anomaly_VenetoGrid_seasonal_1993_2011 (nc,, ARPAV TX90p hist anomaly VenetoGrid seasonal 1993 2011)

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


ARPAV_TX90p_hist_anomaly_VenetoGrid_yearly_1993_2011 (nc,, ARPAV TX90p hist anomaly VenetoGrid yearly 1993 2011)

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


ARPAV TX90p hist trend VenetoGrid monthly 1993 2011, 1991

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

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

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)


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)


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)


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)


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)


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)


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

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

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

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)


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)


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)


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)


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

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)


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

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


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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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)


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)

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)


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)

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


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

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


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

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


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)


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)


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

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


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)


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 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

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)


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 measured at Stoncica since 1992

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


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)