Summary:
AdriaClim Indicators | MedCordex_IPSL | monthly | anomaly 2021_2050vs1981_2010

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
consecutive_summer_days_index_per_time_period (Consecutive summer days index is the greatest number of consecutive summer days in a given time period. Summer days is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time)
number_of_csu_periods_with_more_than_5days_per_time_period (Number of csu periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
fg (10-m wind speed, m s-1)
heat_wave_duration_index_wrt_mean_of_reference_period (This is the number of days per time period where in intervals of at least 6 consecutive days the daily maximum temperature is more than 5 degrees above a reference value. The reference value is calculated  as the mean of maximum temperatures of a five day, No)
heat_waves_per_time_period (Number of heat waves per time period. The time period should be defined by the bounds of the time coordinate., No)
summer_days_index_per_time_period (Summer days index is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time coordinate.)
tg (mean of mean daily temperature over the period, degree_K)
tropical_nights_index_per_time_period (Tropical nights index is the number of days where minimum of temperature is above 20 degree Celsius. The time period should be defined by the bounds of the time coordinate., No)
txn (minimum vale of daily maximum temperature over the period, degree_K)
txx (maximum value of daily maximum temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | monthly | anomaly 2021_2050vs1991_2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
consecutive_summer_days_index_per_time_period (Consecutive summer days index is the greatest number of consecutive summer days in a given time period. Summer days is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time)
number_of_csu_periods_with_more_than_5days_per_time_period (Number of csu periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
fg (10-m wind speed, m s-1)
heat_wave_duration_index_wrt_mean_of_reference_period (This is the number of days per time period where in intervals of at least 6 consecutive days the daily maximum temperature is more than 5 degrees above a reference value. The reference value is calculated  as the mean of maximum temperatures of a five day, No)
heat_waves_per_time_period (Number of heat waves per time period. The time period should be defined by the bounds of the time coordinate., No)
summer_days_index_per_time_period (Summer days index is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time coordinate.)
tg (mean of mean daily temperature over the period, degree_K)
tropical_nights_index_per_time_period (Tropical nights index is the number of days where minimum of temperature is above 20 degree Celsius. The time period should be defined by the bounds of the time coordinate., No)
txn (minimum vale of daily maximum temperature over the period, degree_K)
txx (maximum value of daily maximum temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | monthly | hist | csu

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
consecutive_summer_days_index_per_time_period (Consecutive summer days index is the greatest number of consecutive summer days in a given time period. Summer days is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time)
number_of_csu_periods_with_more_than_5days_per_time_period (Number of csu periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)


Summary:
AdriaClim Indicators | MedCordex_IPSL | monthly | hist | fg

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


Summary:
AdriaClim Indicators | MedCordex_IPSL | monthly | hist | hwdi

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
heat_wave_duration_index_wrt_mean_of_reference_period (This is the number of days per time period where in intervals of at least 6 consecutive days the daily maximum temperature is more than 5 degrees above a reference value. The reference value is calculated  as the mean of maximum temperatures of a five day, No)
heat_waves_per_time_period (Number of heat waves per time period. The time period should be defined by the bounds of the time coordinate., No)


Summary:
AdriaClim Indicators | MedCordex_IPSL | monthly | hist | su

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
summer_days_index_per_time_period (Summer days index is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time coordinate.)


Summary:
AdriaClim Indicators | MedCordex_IPSL | monthly | hist | tg

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tg (mean of mean daily temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | monthly | hist | tnx

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
txn (minimum vale of daily maximum temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | monthly | hist | tr

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tropical_nights_index_per_time_period (Tropical nights index is the number of days where minimum of temperature is above 20 degree Celsius. The time period should be defined by the bounds of the time coordinate., No)


Summary:
AdriaClim Indicators | MedCordex_IPSL | monthly | hist | txx

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
txx (maximum value of daily maximum temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | monthly | proj | csu

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
consecutive_summer_days_index_per_time_period (Consecutive summer days index is the greatest number of consecutive summer days in a given time period. Summer days is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time)
number_of_csu_periods_with_more_than_5days_per_time_period (Number of csu periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)


Summary:
AdriaClim Indicators | MedCordex_IPSL | monthly | proj | fg

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


Summary:
AdriaClim Indicators | MedCordex_IPSL | monthly | proj | hwdi

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
heat_wave_duration_index_wrt_mean_of_reference_period (This is the number of days per time period where in intervals of at least 6 consecutive days the daily maximum temperature is more than 5 degrees above a reference value. The reference value is calculated  as the mean of maximum temperatures of a five day, No)
heat_waves_per_time_period (Number of heat waves per time period. The time period should be defined by the bounds of the time coordinate., No)


Summary:
AdriaClim Indicators | MedCordex_IPSL | monthly | proj | su

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
summer_days_index_per_time_period (Summer days index is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time coordinate.)


Summary:
AdriaClim Indicators | MedCordex_IPSL | monthly | proj | tg

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tg (mean of mean daily temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | monthly | proj | tnx

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
txn (minimum vale of daily maximum temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | monthly | proj | tr

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tropical_nights_index_per_time_period (Tropical nights index is the number of days where minimum of temperature is above 20 degree Celsius. The time period should be defined by the bounds of the time coordinate., No)


Summary:
AdriaClim Indicators | MedCordex_IPSL | monthly | proj | txx

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
txx (maximum value of daily maximum temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | seasonal | anomaly 2021_2050vs1981_2010

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
consecutive_summer_days_index_per_time_period (Consecutive summer days index is the greatest number of consecutive summer days in a given time period. Summer days is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time)
number_of_csu_periods_with_more_than_5days_per_time_period (Number of csu periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
fg (mean of mean daily wind speed over the period, m s-1)
heat_wave_duration_index_wrt_mean_of_reference_period (This is the number of days per time period where in intervals of at least 6 consecutive days the daily maximum temperature is more than 5 degrees above a reference value. The reference value is calculated  as the mean of maximum temperatures of a five day, No)
heat_waves_per_time_period (Number of heat waves per time period. The time period should be defined by the bounds of the time coordinate., No)
summer_days_index_per_time_period (Summer days index is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time coordinate.)
tg (mean of mean daily temperature over the period, degree_K)
tropical_nights_index_per_time_period (Tropical nights index is the number of days where minimum of temperature is above 20 degree Celsius. The time period should be defined by the bounds of the time coordinate., No)
txn (minimum vale of daily maximum temperature over the period, degree_K)
txx (maximum value of daily maximum temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | seasonal | anomaly 2021_2050vs1991_2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
consecutive_summer_days_index_per_time_period (Consecutive summer days index is the greatest number of consecutive summer days in a given time period. Summer days is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time)
number_of_csu_periods_with_more_than_5days_per_time_period (Number of csu periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
fg (mean of mean daily wind speed over the period, m s-1)
heat_wave_duration_index_wrt_mean_of_reference_period (This is the number of days per time period where in intervals of at least 6 consecutive days the daily maximum temperature is more than 5 degrees above a reference value. The reference value is calculated  as the mean of maximum temperatures of a five day, No)
heat_waves_per_time_period (Number of heat waves per time period. The time period should be defined by the bounds of the time coordinate., No)
summer_days_index_per_time_period (Summer days index is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time coordinate.)
tg (mean of mean daily temperature over the period, degree_K)
tropical_nights_index_per_time_period (Tropical nights index is the number of days where minimum of temperature is above 20 degree Celsius. The time period should be defined by the bounds of the time coordinate., No)
txn (minimum vale of daily maximum temperature over the period, degree_K)
txx (maximum value of daily maximum temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | seasonal | hist | csu

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
consecutive_summer_days_index_per_time_period (Consecutive summer days index is the greatest number of consecutive summer days in a given time period. Summer days is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time)
number_of_csu_periods_with_more_than_5days_per_time_period (Number of csu periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)


Summary:
AdriaClim Indicators | MedCordex_IPSL | seasonal | hist | fg

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
fg (Mean daily wind speed at 10 m [m/s], m s-1)


Summary:
AdriaClim Indicators | MedCordex_IPSL | seasonal | hist | hwdi

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
heat_wave_duration_index_wrt_mean_of_reference_period (This is the number of days per time period where in intervals of at least 6 consecutive days the daily maximum temperature is more than 5 degrees above a reference value. The reference value is calculated  as the mean of maximum temperatures of a five day, No)
heat_waves_per_time_period (Number of heat waves per time period. The time period should be defined by the bounds of the time coordinate., No)


Summary:
AdriaClim Indicators | MedCordex_IPSL | seasonal | hist | su

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
summer_days_index_per_time_period (Summer days index is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time coordinate.)


Summary:
AdriaClim Indicators | MedCordex_IPSL | seasonal | hist | tg

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tg (mean of mean daily temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | seasonal | hist | tr

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tropical_nights_index_per_time_period (Tropical nights index is the number of days where minimum of temperature is above 20 degree Celsius. The time period should be defined by the bounds of the time coordinate., No)


Summary:
AdriaClim Indicators | MedCordex_IPSL | seasonal | hist | txn

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
txn (minimum vale of daily maximum temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | seasonal | hist | txx

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
txx (maximum value of daily maximum temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | seasonal | proj | csu

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
consecutive_summer_days_index_per_time_period (Consecutive summer days index is the greatest number of consecutive summer days in a given time period. Summer days is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time)
number_of_csu_periods_with_more_than_5days_per_time_period (Number of csu periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)


Summary:
AdriaClim Indicators | MedCordex_IPSL | seasonal | proj | fg

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
fg (Mean daily wind speed at 10 m [m/s], m s-1)


Summary:
AdriaClim Indicators | MedCordex_IPSL | seasonal | proj | hwdi

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
heat_wave_duration_index_wrt_mean_of_reference_period (This is the number of days per time period where in intervals of at least 6 consecutive days the daily maximum temperature is more than 5 degrees above a reference value. The reference value is calculated  as the mean of maximum temperatures of a five day, No)
heat_waves_per_time_period (Number of heat waves per time period. The time period should be defined by the bounds of the time coordinate., No)


Summary:
AdriaClim Indicators | MedCordex_IPSL | seasonal | proj | su

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
summer_days_index_per_time_period (Summer days index is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time coordinate.)


Summary:
AdriaClim Indicators | MedCordex_IPSL | seasonal | proj | tg

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tg (mean of mean daily temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | seasonal | proj | tr

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tropical_nights_index_per_time_period (Tropical nights index is the number of days where minimum of temperature is above 20 degree Celsius. The time period should be defined by the bounds of the time coordinate., No)


Summary:
AdriaClim Indicators | MedCordex_IPSL | seasonal | proj | txn

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
txn (minimum vale of daily maximum temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | seasonal | proj | txx

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
txx (maximum value of daily maximum temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | su | hist, 1991-2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
signif (Trends significance)
trend (Mean trend over the entire timeseries, Significance level 0.05, days year-1)
p
std_error


Summary:
AdriaClim Indicators | MedCordex_IPSL | su | proj, 2031-2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
signif (Trends significance)
trend (Mean trend over the entire timeseries, Significance level 0.05, days year-1)
p
std_error


Summary:
AdriaClim Indicators | MedCordex_IPSL | tg | hist, 1991-2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
signif (Trends significance)
trend (Mean trend over the entire timeseries, Significance level 0.05, degC year-1)
p
std_error


Summary:
AdriaClim Indicators | MedCordex_IPSL | tg | proj, 2031-2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
signif (Trends significance)
trend (Mean trend over the entire timeseries, Significance level 0.05, degC year-1)
p
std_error


Summary:
AdriaClim Indicators | MedCordex_IPSL | tr | hist, 1991-2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
signif (Trends significance)
trend (Mean trend over the entire timeseries, Significance level 0.05, days year-1)
p
std_error


Summary:
AdriaClim Indicators | MedCordex_IPSL | tr | proj, 2031-2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
signif (Trends significance)
trend (Mean trend over the entire timeseries, Significance level 0.05, days year-1)
p
std_error


Summary:
AdriaClim Indicators | MedCordex_IPSL | txn | hist, 1991-2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
signif (Trends significance)
trend (Mean trend over the entire timeseries, Significance level 0.05, degC yr-1)
p
std_error


Summary:
AdriaClim Indicators | MedCordex_IPSL | txn | proj, 2031-2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
signif (Trends significance)
trend (Mean trend over the entire timeseries, Significance level 0.05, degC yr-1)
p
std_error


Summary:
AdriaClim Indicators | MedCordex_IPSL | txx | hist, 1991-2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
signif (Trends significance)
trend (Mean trend over the entire timeseries, Significance level 0.05, degC year-1)
p
std_error


Summary:
AdriaClim Indicators | MedCordex_IPSL | txx | proj, 2031-2050

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
signif (Trends significance)
trend (Mean trend over the entire timeseries, Significance level 0.05, degC year-1)
p
std_error


Summary:
AdriaClim Indicators | MedCordex_IPSL | yearly | anomaly 2021_2050vs1981_2010

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
consecutive_summer_days_index_per_time_period (Consecutive summer days index is the greatest number of consecutive summer days in a given time period. Summer days is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time)
number_of_csu_periods_with_more_than_5days_per_time_period (Number of csu periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
fg (10-m wind speed, m s-1)
heat_wave_duration_index_wrt_mean_of_reference_period (This is the number of days per time period where in intervals of at least 6 consecutive days the daily maximum temperature is more than 5 degrees above a reference value. The reference value is calculated  as the mean of maximum temperatures of a five day, No)
heat_waves_per_time_period (Number of heat waves per time period. The time period should be defined by the bounds of the time coordinate., No)
summer_days_index_per_time_period (Summer days index is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time coordinate.)
tg (mean of mean daily temperature over the period, degree_K)
tropical_nights_index_per_time_period (Tropical nights index is the number of days where minimum of temperature is above 20 degree Celsius. The time period should be defined by the bounds of the time coordinate., No)
txn (minimum vale of daily maximum temperature over the period, degree_K)
txx (maximum value of daily maximum temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | yearly | anomaly 2021_2050vs1991_2020

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
consecutive_summer_days_index_per_time_period (Consecutive summer days index is the greatest number of consecutive summer days in a given time period. Summer days is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time)
number_of_csu_periods_with_more_than_5days_per_time_period (Number of csu periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
fg (10-m wind speed, m s-1)
heat_wave_duration_index_wrt_mean_of_reference_period (This is the number of days per time period where in intervals of at least 6 consecutive days the daily maximum temperature is more than 5 degrees above a reference value. The reference value is calculated  as the mean of maximum temperatures of a five day, No)
heat_waves_per_time_period (Number of heat waves per time period. The time period should be defined by the bounds of the time coordinate., No)
summer_days_index_per_time_period (Summer days index is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time coordinate.)
tg (mean of mean daily temperature over the period, degree_K)
tropical_nights_index_per_time_period (Tropical nights index is the number of days where minimum of temperature is above 20 degree Celsius. The time period should be defined by the bounds of the time coordinate., No)
txn (minimum vale of daily maximum temperature over the period, degree_K)
txx (maximum value of daily maximum temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | yearly | hist | csu

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
consecutive_summer_days_index_per_time_period (Consecutive summer days index is the greatest number of consecutive summer days in a given time period. Summer days is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time)
number_of_csu_periods_with_more_than_5days_per_time_period (Number of csu periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)


Summary:
AdriaClim Indicators | MedCordex_IPSL | yearly | hist | fg

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


Summary:
AdriaClim Indicators | MedCordex_IPSL | yearly | hist | hwdi

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
heat_wave_duration_index_wrt_mean_of_reference_period (This is the number of days per time period where in intervals of at least 6 consecutive days the daily maximum temperature is more than 5 degrees above a reference value. The reference value is calculated  as the mean of maximum temperatures of a five day, No)
heat_waves_per_time_period (Number of heat waves per time period. The time period should be defined by the bounds of the time coordinate., No)


Summary:
AdriaClim Indicators | MedCordex_IPSL | yearly | hist | su

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
summer_days_index_per_time_period (Summer days index is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time coordinate.)


Summary:
AdriaClim Indicators | MedCordex_IPSL | yearly | hist | tg

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tg (mean of mean daily temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | yearly | hist | tr

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tropical_nights_index_per_time_period (Tropical nights index is the number of days where minimum of temperature is above 20 degree Celsius. The time period should be defined by the bounds of the time coordinate., No)


Summary:
AdriaClim Indicators | MedCordex_IPSL | yearly | hist | txn

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
txn (minimum vale of daily maximum temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | yearly | hist | txx

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
txx (maximum value of daily maximum temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | yearly | proj | csu

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
consecutive_summer_days_index_per_time_period (Consecutive summer days index is the greatest number of consecutive summer days in a given time period. Summer days is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time)
number_of_csu_periods_with_more_than_5days_per_time_period (Number of csu periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)


Summary:
AdriaClim Indicators | MedCordex_IPSL | yearly | proj | fg

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


Summary:
AdriaClim Indicators | MedCordex_IPSL | yearly | proj | hwdi

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
heat_wave_duration_index_wrt_mean_of_reference_period (This is the number of days per time period where in intervals of at least 6 consecutive days the daily maximum temperature is more than 5 degrees above a reference value. The reference value is calculated  as the mean of maximum temperatures of a five day, No)
heat_waves_per_time_period (Number of heat waves per time period. The time period should be defined by the bounds of the time coordinate., No)


Summary:
AdriaClim Indicators | MedCordex_IPSL | yearly | proj | su

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
summer_days_index_per_time_period (Summer days index is the number of days where maximum of temperature is above 25 degree Celsius. The time period should be defined by the bounds of the time coordinate.)


Summary:
AdriaClim Indicators | MedCordex_IPSL | yearly | proj | tg

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tg (mean of mean daily temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | yearly | proj | tr

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tropical_nights_index_per_time_period (Tropical nights index is the number of days where minimum of temperature is above 20 degree Celsius. The time period should be defined by the bounds of the time coordinate., No)


Summary:
AdriaClim Indicators | MedCordex_IPSL | yearly | proj | txn

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
txn (minimum vale of daily maximum temperature over the period, degree_K)


Summary:
AdriaClim Indicators | MedCordex_IPSL | yearly | proj | txx

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
txx (maximum value of daily maximum temperature over the period, degree_K)


Summary:
AdriaClim RESM - Indicators - MedCordex IPSL - MLD 1992-2011

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


Summary:
AdriaClim RESM - Indicators - MedCordex IPSL - MLD 2031-2050

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


Summary:
AdriaClim RESM - Indicators - MedCordex IPSL - SL 1992-2011

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 - MedCordex IPSL - SL 2031-2050

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 - MedCordex IPSL - SSS 1992-2011

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 - MedCordex IPSL - SSS 2031-2050

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


Summary:
AdriaClim RESM - Indicators - MedCordex IPSL - SST 1992-2011

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


Summary:
AdriaClim RESM - Indicators - MedCordex IPSL - SST 2031-2050

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


Summary:
AdriaClim RESM - Indicators - NEMO - MHW 1992-2011

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


Summary:
AdriaClim RESM - Indicators - NEMO - MHW 2031-2050

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


Summary:
AdriaClim RESM - Indicators - NEMO - MLD 1992-2011

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


Summary:
AdriaClim RESM - Indicators - NEMO - MLD 2031-2050

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


Summary:
AdriaClim RESM - Indicators - NEMO - SL 1992-2011 - calibrated using SLA satellite data (1993 to 2011)

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 - NEMO - SL 1992-2011 - calibrated using SLA satellite data (1993 to 2020)

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 - NEMO - SL 2031-2050 - calibrated using SLA satellite data (1993 to 2020)

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 - NEMO - SSS 1992-2011

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 - NEMO - SSS 2031-2050

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


Summary:
AdriaClim RESM - Indicators - NEMO - SST 1992-2011

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


Summary:
AdriaClim RESM - Indicators - NEMO - SST 2031-2050

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


Summary:
AdriaClim RESM - Indicators - Reanalysis - MHW

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


Summary:
AdriaClim RESM - Indicators - Reanalysis - MLD

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


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 - 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, 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)


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, 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, 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 - 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 - 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, 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 - 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 - near surface

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


AdriaClim RESM - 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, 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, 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 | 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 | 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 | 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)


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


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, 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 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)


venezia_adriaclim_CMEMS-Reanalysis_1994

Summary:
Data restriction: for academic research use only

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


venezia_adriaclim_CMEMS-Reanalysis_1994-2019_d-min


venezia_adriaclim_CMEMS-Reanalysis_1994-2019max