Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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 - info - Grid

Summary:
AdriaClim RESM - NEMO - info - Grid

cdm_data_type = Other
VARIABLES:
url
name (File Name)
lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)
size (bytes)
fileType (File Type)


Summary:
AdriaClim RESM - NEMO - info - Total Sea Level and SSH

cdm_data_type = Other
VARIABLES:
url
name (File Name)
lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)
size (bytes)
fileType (File Type)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
AdriaClim RESM - WRF - historical - raw files

cdm_data_type = Other
VARIABLES:
url
name (File Name)
lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)
size (bytes)
fileType (File Type)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
AdriaClim RESM - WRF - projection - raw files

cdm_data_type = Other
VARIABLES:
url
name (File Name)
lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)
size (bytes)
fileType (File Type)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
AdriaClim RESM - WRFHydro - historical - raw files

cdm_data_type = Other
VARIABLES:
url
name (File Name)
lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)
size (bytes)
fileType (File Type)


Summary:
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)


Summary:
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)


Summary:
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 - info

Summary:
AdriaClim RESM - WRFHydro - info

cdm_data_type = Other
VARIABLES:
url
name (File Name)
lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)
size (bytes)
fileType (File Type)


Summary:
AdriaClim RESM - WRFHydro - projection - raw files

cdm_data_type = Other
VARIABLES:
url
name (File Name)
lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)
size (bytes)
fileType (File Type)


Summary:
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)


Summary:
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)


Summary:
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

Summary:
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

Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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

Summary:
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

Summary:
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

Summary:
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

Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)

Summary:
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)

Summary:
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)

Summary:
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)

Summary:
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)

Summary:
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)

Summary:
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


Summary:
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


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)

Summary:
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)

Summary:
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


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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


Summary:
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)


Summary:
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


Summary:
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)

Summary:
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)

Summary:
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)


Summary:
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)

Summary:
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)

Summary:
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)


Summary:
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)


Summary:
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


Summary:
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


Summary:
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)

Summary:
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)

Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)

Summary:
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)

Summary:
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)


Summary:
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)

Summary:
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)

Summary:
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)


Summary:
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)

Summary:
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)

Summary:
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)


adriaclim_CNR-Veneto_MHW_2020.nc

Summary:
Data restriction: for academic research use only

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
cum_mhw_int (Cumulative MHW intensity over a year, deg. C x days)


adriaclim_CNR-Veneto_MHW_2050_RCP26.nc

Summary:
Data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
cum_mhw_int (Cumulative MHW intensity over a year, deg. C x days)


adriaclim_CNR-Veneto_MHW_2050_RCP45


adriaclim_CNR-Veneto_MHW_2050_RCP85


adriaclim_CNR-Veneto_MHW_2050_TREND


Air pressure|Metkovic|observation

Summary:
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)


Air temperature|Metkovic|observation

Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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

Summary:
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

Summary:
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

Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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

Summary:
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

Summary:
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

Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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

Summary:
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

Summary:
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

Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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

Summary:
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

Summary:
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

Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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

Summary:
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

Summary:
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

Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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

Summary:
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

Summary:
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

Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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

Summary:
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

Summary:
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

Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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

Summary:
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

Summary:
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

Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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

Summary:
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

Summary:
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

Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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)


Summary:
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

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

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


ARPAV TX90p hist trend VenetoGrid seasonal 1993 2011, 1991

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

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


ARPAV TX90p hist trend VenetoGrid yearly 1993 2011, 1991

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

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


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

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


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

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


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

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


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

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


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

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


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

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


ARPAV TXd hist trend VenetoGrid monthly 1993 2011, 1991

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

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


ARPAV TXd hist trend VenetoGrid seasonal 1993 2011, 1991

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

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


ARPAV TXd hist trend VenetoGrid yearly 1993 2011, 1991

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

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


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

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


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

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


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

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


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

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


ARPAV WSDI hist trend VenetoGrid yearly 1993 2011, 1991

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

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


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

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


COSMO_ITALY8km, historical data - CLCT

Summary:
COSMO_ITALY8km - historical data - CLCT

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


COSMO_ITALY8km, historical data - PMSL

Summary:
COSMO_ITALY8km - historical data - PMSL

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


COSMO_ITALY8km, historical data - RELHUM_2M

Summary:
COSMO_ITALY8km - historical data - RELHUM_2M

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


COSMO_ITALY8km, historical data - T_2M

Summary:
COSMO_ITALY8km - historical data - T_2M

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


COSMO_ITALY8km, historical data - TOT_PREC

Summary:
COSMO_ITALY8km - historical data - TOT_PREC

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


COSMO_ITALY8km, historical data - U_10M

Summary:
COSMO_ITALY8km - historical data - U_10M

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


COSMO_ITALY8km, historical data - V_10M

Summary:
COSMO_ITALY8km - historical data - V_10M

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


COSMO_ITALY8km, scenario RCP4.5 - CLCT

Summary:
COSMO_ITALY8km - scenario RCP4.5 - CLCT

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


COSMO_ITALY8km, scenario RCP4.5 - PMSL

Summary:
COSMO_ITALY8km - scenario RCP4.5 - PMSL

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


COSMO_ITALY8km, scenario RCP4.5 - RELHUM_2M

Summary:
COSMO_ITALY8km - scenario RCP4.5 - RELHUM_2M

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


COSMO_ITALY8km, scenario RCP4.5 - T_2M

Summary:
COSMO_ITALY8km - scenario RCP4.5 - T_2M

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


COSMO_ITALY8km, scenario RCP4.5 - TOT_PREC

Summary:
COSMO_ITALY8km - scenario RCP4.5 - TOT_PREC

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


COSMO_ITALY8km, scenario RCP4.5 - U_10M

Summary:
COSMO_ITALY8km - scenario RCP4.5 - U_10M

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


COSMO_ITALY8km, scenario RCP4.5 - V_10M

Summary:
COSMO_ITALY8km - scenario RCP4.5 - V_10M

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


COSMO_ITALY8km, scenario RCP8.5 - CLCT

Summary:
COSMO_ITALY8km - scenario RCP8.5 - CLCT

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


COSMO_ITALY8km, scenario RCP8.5 - PMSL

Summary:
COSMO_ITALY8km - scenario RCP8.5 - PMSL

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


COSMO_ITALY8km, scenario RCP8.5 - RELHUM_2M

Summary:
COSMO_ITALY8km - scenario RCP8.5 - RELHUM_2M

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


COSMO_ITALY8km, scenario RCP8.5 - T_2M

Summary:
COSMO_ITALY8km - scenario RCP8.5 - T_2M

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


COSMO_ITALY8km, scenario RCP8.5 - TOT_PREC

Summary:
COSMO_ITALY8km - scenario RCP8.5 - TOT_PREC

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


COSMO_ITALY8km, scenario RCP8.5 - U_10M

Summary:
COSMO_ITALY8km - scenario RCP8.5 - U_10M

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


COSMO_ITALY8km, scenario RCP8.5 - V_10M

Summary:
COSMO_ITALY8km - scenario RCP8.5 - V_10M

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


CTD|ST101|hist

Summary:
Salinity and temperature measured at Kastela Bay

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


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

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

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


Humidity|Metkovic|observation

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

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


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

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

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


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

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

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


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

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


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

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


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

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


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

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


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

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


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

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


Salinity|CJ009|hist

Summary:
Salinity measured at Stoncica since 1992

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