* The List of All Active Datasets in this ERDDAP *

This dataset is a table which has a row of information for each dataset currently active in this ERDDAP.

cdm_data_type = Other
VARIABLES:
datasetID (Dataset ID)
accessible
institution
dataStructure (Data Structure)
cdm_data_type (Common Data Model Type)
class (ERDDAP Class)
title
minLongitude (Minimum Longitude, degrees_east)
maxLongitude (Maximum Longitude, degrees_east)
longitudeSpacing (Average Grid Longitude Spacing, degrees_east)
minLatitude (Minimum Latitude, degrees_north)
maxLatitude (Maximum Latitude, degrees_north)
latitudeSpacing (Average Grid Latitude Spacing, degrees_north)
minAltitude (Minimum Altitude (or negative Depth), m)
maxAltitude (Maximum Altitude (or negative Depth), m)
minTime (Minimum Time, seconds since 1970-01-01T00:00:00Z)
maxTime (Maximum Time, seconds since 1970-01-01T00:00:00Z)
timeSpacing (Average Grid Time Spacing, seconds)
griddap (Base URL of OPeNDAP Grid Service)
subset (URL of Subset Web Page)
tabledap (Base URL of OPeNDAP Table/Sequence Service)
MakeAGraph (URL of Make-A-Graph Web Page)
sos (Base URL of SOS Service)
wcs (Base URL of WCS Service)
wms (Base URL of WMS Service)
files (Base URL of "files" Service)
... (10 more variables)


39 years of directional wave recorded data at the Acqua Alta oceanographic tower. PANGAEA, https://doi.org/10.1594/PANGAEA.885361

The dataset consists of a 39-year long directional wave time series recorded since 1979 at the CNR-ISMAR "Acqua Alta" oceanographic research tower (AAOT), located in the Northern Adriatic Sea. The extent of the time series allows to describe the wave climate in the North Adriatic region and to identify trends and links with large scale climate patterns from a single and permanent observational source.\nThe northern part of the Adriatic Sea is characterized by two main wind and correspondingly wave regimes, strongly forced by the regional orography. The high sensitivity of this particular area to even small variations of large scale meteorological patterns allows to explore possible links of the local wave, hence wind, activity with large-scale north hemisphere circulation or weather regimes.\nDifferent wave gauges have been used since the start of the measurements, progressively upgraded and repositioned during maintenance operations. The recorded wave data have been thoroughly verified and corrected where necessary.

cdm_data_type = Other
VARIABLES:
n (N [#])
time (Date/Time, seconds since 1970-01-01T00:00:00Z)
Wave_h (Wave H [m] (significant))
Freq (Freq [Hz] (mean))
PwPw (Pw Pw [s] (mean))
Wave_m_dir (Sea Surface Wave To Direction)
Freq_2 (Freq [Hz] (peak))
PwPw_2 (Pw Pw [s] (peak))


Acqua Alta oceanographic tower AAOT Sea Level 1991-2019

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
a_0_270 (0.270)


AdriaClim Indicators | adriaclim_WRF | cdd | hist, 1991-2020

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


AdriaClim Indicators | adriaclim_WRF | cdd | 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


AdriaClim Indicators | adriaclim_WRF | csu | 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


AdriaClim Indicators | adriaclim_WRF | csu | 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


AdriaClim Indicators | adriaclim_WRF | cwd | 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


AdriaClim Indicators | adriaclim_WRF | cwd | 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


AdriaClim Indicators | adriaclim_WRF | fg | 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, m s-1 year-1)
p
std_error


AdriaClim Indicators | adriaclim_WRF | fg | 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, m s-1 year-1)
p
std_error


AdriaClim Indicators | adriaclim_WRF | hwdi | 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


AdriaClim Indicators | adriaclim_WRF | hwdi | 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


AdriaClim Indicators | adriaclim_WRF | monthly | anomaly

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
consecutive_dry_days_index_per_time_period (Consecutive dry days is the greatest number of consecutive days per time period with daily precipitation amount  below 1 mm. The time period should be defined by the bounds of the time coordinate., No)
number_of_cdd_periods_with_more_than_5days_per_time_period (Number of cdd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
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)
consecutive_wet_days_index_per_time_period (Consecutive wet days is the greatest number of consecutive days per time period with daily precipitation above 1 mm. The time period should be defined by the bounds of the time coordinate., No)
number_of_cwd_periods_with_more_than_5days_per_time_period (Number of cwd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
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)
very_wet_days_wrt_95th_percentile_of_reference_period (This is the percent of time per time period of wet days (daily sum at least 1 mm / day) where daily precipitation amount of a wet day is above a reference value. The reference value is calculated  as the 95th percentile of all wet days of a given 30 year, Percent)
precipitation_percent_due_to_R95p_days (Percentage of  total  precipitation amount per time period  due to  very_wet_days_wrt_95th_percentile_of_reference_period. The time period should be defined by the bounds of the time coordinate., Percent)
rx1day (Maximum of one day precipitation amount in a given time period., mm)
rx5day (Maximum of 5-days moving window precipitation amount in a given time period., mm)
simple_daily_intensity_index_per_time_period (Simple daily intensity index is the mean of precipitation amount on wet days. A wet day is a day with precipitation sum of at least 1 mm. The time period should be defined by the bounds of the time coordinate., mm)
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)


AdriaClim Indicators | adriaclim_WRF | monthly | hist | cdd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
number_of_cdd_periods_with_more_than_5days_per_time_period (Number of cdd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
consecutive_dry_days_index_per_time_period (Consecutive dry days is the greatest number of consecutive days per time period with daily precipitation amount  below 1 mm. The time period should be defined by the bounds of the time coordinate., No)


AdriaClim Indicators | adriaclim_WRF | monthly | hist | csu

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


AdriaClim Indicators | adriaclim_WRF | monthly | hist | cwd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
number_of_cwd_periods_with_more_than_5days_per_time_period (Number of cwd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
consecutive_wet_days_index_per_time_period (Consecutive wet days is the greatest number of consecutive days per time period with daily precipitation above 1 mm. The time period should be defined by the bounds of the time coordinate., No)


AdriaClim Indicators | adriaclim_WRF | monthly | 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])


AdriaClim Indicators | adriaclim_WRF | 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)


AdriaClim Indicators | adriaclim_WRF | monthly | hist | r95p

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
very_wet_days_wrt_95th_percentile_of_reference_period (This is the percent of time per time period of wet days (daily sum at least 1 mm / day) where daily precipitation amount of a wet day is above a reference value. The reference value is calculated  as the 95th percentile of all wet days of a given 30 year, Percent)


AdriaClim Indicators | adriaclim_WRF | monthly | hist | r95ptot

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
precipitation_percent_due_to_R95p_days (Percentage of  total  precipitation amount per time period  due to  very_wet_days_wrt_95th_percentile_of_reference_period. The time period should be defined by the bounds of the time coordinate., Percent)


AdriaClim Indicators | adriaclim_WRF | monthly | hist | rx1day

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [Times][latitude][longitude]):
rx1day (Maximum of one day precipitation amount in a given time period., mm)


AdriaClim Indicators | adriaclim_WRF | monthly | hist | rx5day

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [Times][latitude][longitude]):
rx5day (Maximum of 5-days moving window precipitation amount in a given time period., mm)


AdriaClim Indicators | adriaclim_WRF | monthly | hist | sdii

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
simple_daily_intensity_index_per_time_period (Simple daily intensity index is the mean of precipitation amount on wet days. A wet day is a day with precipitation sum of at least 1 mm. The time period should be defined by the bounds of the time coordinate., mm)


AdriaClim Indicators | adriaclim_WRF | 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.)


AdriaClim Indicators | adriaclim_WRF | monthly | hist | tg

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [Times][latitude][longitude]):
T2


AdriaClim Indicators | adriaclim_WRF | 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)


AdriaClim Indicators | adriaclim_WRF | monthly | hist | txn

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [Times][latitude][longitude]):
T2


AdriaClim Indicators | adriaclim_WRF | monthly | hist | txx

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [Times][latitude][longitude]):
T2


AdriaClim Indicators | adriaclim_WRF | monthly | proj | cdd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
number_of_cdd_periods_with_more_than_5days_per_time_period (Number of cdd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
consecutive_dry_days_index_per_time_period (Consecutive dry days is the greatest number of consecutive days per time period with daily precipitation amount  below 1 mm. The time period should be defined by the bounds of the time coordinate., No)


AdriaClim Indicators | adriaclim_WRF | monthly | proj | csu

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


AdriaClim Indicators | adriaclim_WRF | monthly | proj | cwd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
number_of_cwd_periods_with_more_than_5days_per_time_period (Number of cwd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
consecutive_wet_days_index_per_time_period (Consecutive wet days is the greatest number of consecutive days per time period with daily precipitation above 1 mm. The time period should be defined by the bounds of the time coordinate., No)


AdriaClim Indicators | adriaclim_WRF | monthly | 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])


AdriaClim Indicators | adriaclim_WRF | 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)


AdriaClim Indicators | adriaclim_WRF | monthly | proj | r95p

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
very_wet_days_wrt_95th_percentile_of_reference_period (This is the percent of time per time period of wet days (daily sum at least 1 mm / day) where daily precipitation amount of a wet day is above a reference value. The reference value is calculated  as the 95th percentile of all wet days of a given 30 year, Percent)


AdriaClim Indicators | adriaclim_WRF | monthly | proj | r95ptot

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
precipitation_percent_due_to_R95p_days (Percentage of  total  precipitation amount per time period  due to  very_wet_days_wrt_95th_percentile_of_reference_period. The time period should be defined by the bounds of the time coordinate., Percent)


AdriaClim Indicators | adriaclim_WRF | monthly | proj | rx1day

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [Times][latitude][longitude]):
rx1day (Maximum of one day precipitation amount in a given time period., mm)


AdriaClim Indicators | adriaclim_WRF | monthly | proj | rx5day

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [Times][latitude][longitude]):
rx5day (Maximum of 5-days moving window precipitation amount in a given time period., mm)


AdriaClim Indicators | adriaclim_WRF | monthly | proj | sdii

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
simple_daily_intensity_index_per_time_period (Simple daily intensity index is the mean of precipitation amount on wet days. A wet day is a day with precipitation sum of at least 1 mm. The time period should be defined by the bounds of the time coordinate., mm)


AdriaClim Indicators | adriaclim_WRF | 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.)


AdriaClim Indicators | adriaclim_WRF | monthly | proj | tg

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [Times][latitude][longitude]):
T2


AdriaClim Indicators | adriaclim_WRF | 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)


AdriaClim Indicators | adriaclim_WRF | monthly | proj | txn

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [Times][latitude][longitude]):
T2


AdriaClim Indicators | adriaclim_WRF | monthly | proj | txx

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [Times][latitude][longitude]):
T2


AdriaClim Indicators | adriaclim_WRF | r95p | 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


AdriaClim Indicators | adriaclim_WRF | r95p | 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


AdriaClim Indicators | adriaclim_WRF | r95ptot | 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, Percentage of  total  precipitation amount per time period  due to  very_wet_days_wrt_95th_percentile_of_reference_period per year)
p
std_error


AdriaClim Indicators | adriaclim_WRF | r95ptot | 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, Percentage of  total  precipitation amount per time period  due to  very_wet_days_wrt_95th_percentile_of_reference_period per year)
p
std_error


AdriaClim Indicators | adriaclim_WRF | rx1day | 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, mm year-1)
p
std_error


AdriaClim Indicators | adriaclim_WRF | rx1day | 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, mm year-1)
p
std_error


AdriaClim Indicators | adriaclim_WRF | rx5day | 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, mm year-1)
p
std_error


AdriaClim Indicators | adriaclim_WRF | rx5day | 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, mm year-1)
p
std_error


AdriaClim Indicators | adriaclim_WRF | sdii | 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, mm year-1)
p
std_error


AdriaClim Indicators | adriaclim_WRF | sdii | 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, mm year-1)
p
std_error


AdriaClim Indicators | adriaclim_WRF | seasonal | anomaly

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
consecutive_dry_days_index_per_time_period (Consecutive dry days is the greatest number of consecutive days per time period with daily precipitation amount  below 1 mm. The time period should be defined by the bounds of the time coordinate., No)
number_of_cdd_periods_with_more_than_5days_per_time_period (Number of cdd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
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)
consecutive_wet_days_index_per_time_period (Consecutive wet days is the greatest number of consecutive days per time period with daily precipitation above 1 mm. The time period should be defined by the bounds of the time coordinate., No)
number_of_cwd_periods_with_more_than_5days_per_time_period (Number of cwd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
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)
very_wet_days_wrt_95th_percentile_of_reference_period (This is the percent of time per time period of wet days (daily sum at least 1 mm / day) where daily precipitation amount of a wet day is above a reference value. The reference value is calculated  as the 95th percentile of all wet days of a given 30 year, Percent)
precipitation_percent_due_to_R95p_days (Percentage of  total  precipitation amount per time period  due to  very_wet_days_wrt_95th_percentile_of_reference_period. The time period should be defined by the bounds of the time coordinate., Percent)
rx1day (Maximum of one day precipitation amount in a given time period., mm)
rx5day (Maximum of 5-days moving window precipitation amount in a given time period., mm)
simple_daily_intensity_index_per_time_period (Simple daily intensity index is the mean of precipitation amount on wet days. A wet day is a day with precipitation sum of at least 1 mm. The time period should be defined by the bounds of the time coordinate., mm)
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)


AdriaClim Indicators | adriaclim_WRF | seasonal | hist | cdd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
number_of_cdd_periods_with_more_than_5days_per_time_period (Number of cdd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
consecutive_dry_days_index_per_time_period (Consecutive dry days is the greatest number of consecutive days per time period with daily precipitation amount  below 1 mm. The time period should be defined by the bounds of the time coordinate., No)


AdriaClim Indicators | adriaclim_WRF | seasonal | hist | csu

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


AdriaClim Indicators | adriaclim_WRF | seasonal | hist | cwd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
number_of_cwd_periods_with_more_than_5days_per_time_period (Number of cwd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
consecutive_wet_days_index_per_time_period (Consecutive wet days is the greatest number of consecutive days per time period with daily precipitation above 1 mm. The time period should be defined by the bounds of the time coordinate., No)


AdriaClim Indicators | adriaclim_WRF | 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])


AdriaClim Indicators | adriaclim_WRF | 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)


AdriaClim Indicators | adriaclim_WRF | seasonal | hist | r95p

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
very_wet_days_wrt_95th_percentile_of_reference_period (This is the percent of time per time period of wet days (daily sum at least 1 mm / day) where daily precipitation amount of a wet day is above a reference value. The reference value is calculated  as the 95th percentile of all wet days of a given 30 year, Percent)


AdriaClim Indicators | adriaclim_WRF | seasonal | hist | r95ptot

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
precipitation_percent_due_to_R95p_days (Percentage of  total  precipitation amount per time period  due to  very_wet_days_wrt_95th_percentile_of_reference_period. The time period should be defined by the bounds of the time coordinate., Percent)


AdriaClim Indicators | adriaclim_WRF | seasonal | hist | rx1day

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [Times][latitude][longitude]):
rx1day (Maximum of one day precipitation amount in a given time period., mm)


AdriaClim Indicators | adriaclim_WRF | seasonal | hist | rx5day

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [Times][latitude][longitude]):
rx5day (Maximum of 5-days moving window precipitation amount in a given time period., mm)


AdriaClim Indicators | adriaclim_WRF | seasonal | hist | sdii

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
simple_daily_intensity_index_per_time_period (Simple daily intensity index is the mean of precipitation amount on wet days. A wet day is a day with precipitation sum of at least 1 mm. The time period should be defined by the bounds of the time coordinate., mm)


AdriaClim Indicators | adriaclim_WRF | 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.)


AdriaClim Indicators | adriaclim_WRF | seasonal | hist | tg

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


AdriaClim Indicators | adriaclim_WRF | 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)


AdriaClim Indicators | adriaclim_WRF | seasonal | hist | txn

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [Times][latitude][longitude]):
txn (degree_K)


AdriaClim Indicators | adriaclim_WRF | seasonal | hist | txx

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


AdriaClim Indicators | adriaclim_WRF | seasonal | proj | cdd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
number_of_cdd_periods_with_more_than_5days_per_time_period (Number of cdd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
consecutive_dry_days_index_per_time_period (Consecutive dry days is the greatest number of consecutive days per time period with daily precipitation amount  below 1 mm. The time period should be defined by the bounds of the time coordinate., No)


AdriaClim Indicators | adriaclim_WRF | seasonal | proj | csu

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


AdriaClim Indicators | adriaclim_WRF | seasonal | proj | cwd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
number_of_cwd_periods_with_more_than_5days_per_time_period (Number of cwd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
consecutive_wet_days_index_per_time_period (Consecutive wet days is the greatest number of consecutive days per time period with daily precipitation above 1 mm. The time period should be defined by the bounds of the time coordinate., No)


AdriaClim Indicators | adriaclim_WRF | 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])


AdriaClim Indicators | adriaclim_WRF | 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)


AdriaClim Indicators | adriaclim_WRF | seasonal | proj | r95p

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
very_wet_days_wrt_95th_percentile_of_reference_period (This is the percent of time per time period of wet days (daily sum at least 1 mm / day) where daily precipitation amount of a wet day is above a reference value. The reference value is calculated  as the 95th percentile of all wet days of a given 30 year, Percent)


AdriaClim Indicators | adriaclim_WRF | seasonal | proj | r95ptot

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
precipitation_percent_due_to_R95p_days (Percentage of  total  precipitation amount per time period  due to  very_wet_days_wrt_95th_percentile_of_reference_period. The time period should be defined by the bounds of the time coordinate., Percent)


AdriaClim Indicators | adriaclim_WRF | seasonal | proj | rx1day

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [Times][latitude][longitude]):
rx1day (Maximum of one day precipitation amount in a given time period., mm)


AdriaClim Indicators | adriaclim_WRF | seasonal | proj | rx5day

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [Times][latitude][longitude]):
rx5day (Maximum of 5-days moving window precipitation amount in a given time period., mm)


AdriaClim Indicators | adriaclim_WRF | seasonal | proj | sdii

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
simple_daily_intensity_index_per_time_period (Simple daily intensity index is the mean of precipitation amount on wet days. A wet day is a day with precipitation sum of at least 1 mm. The time period should be defined by the bounds of the time coordinate., mm)


AdriaClim Indicators | adriaclim_WRF | 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.)


AdriaClim Indicators | adriaclim_WRF | seasonal | proj | tg

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


AdriaClim Indicators | adriaclim_WRF | 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)


AdriaClim Indicators | adriaclim_WRF | seasonal | proj | txn

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [Times][latitude][longitude]):
txn (degree_K)


AdriaClim Indicators | adriaclim_WRF | seasonal | proj | txx

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


AdriaClim Indicators | adriaclim_WRF | 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


AdriaClim Indicators | adriaclim_WRF | 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


AdriaClim Indicators | adriaclim_WRF | 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


AdriaClim Indicators | adriaclim_WRF | 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


AdriaClim Indicators | adriaclim_WRF | 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


AdriaClim Indicators | adriaclim_WRF | 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


AdriaClim Indicators | adriaclim_WRF | 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


AdriaClim Indicators | adriaclim_WRF | 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


AdriaClim Indicators | adriaclim_WRF | 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


AdriaClim Indicators | adriaclim_WRF | 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


AdriaClim Indicators | adriaclim_WRF | yearly | anomaly

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
consecutive_dry_days_index_per_time_period (Consecutive dry days is the greatest number of consecutive days per time period with daily precipitation amount  below 1 mm. The time period should be defined by the bounds of the time coordinate., No)
number_of_cdd_periods_with_more_than_5days_per_time_period (Number of cdd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
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)
consecutive_wet_days_index_per_time_period (Consecutive wet days is the greatest number of consecutive days per time period with daily precipitation above 1 mm. The time period should be defined by the bounds of the time coordinate., No)
number_of_cwd_periods_with_more_than_5days_per_time_period (Number of cwd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
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)
very_wet_days_wrt_95th_percentile_of_reference_period (This is the percent of time per time period of wet days (daily sum at least 1 mm / day) where daily precipitation amount of a wet day is above a reference value. The reference value is calculated  as the 95th percentile of all wet days of a given 30 year, Percent)
precipitation_percent_due_to_R95p_days (Percentage of  total  precipitation amount per time period  due to  very_wet_days_wrt_95th_percentile_of_reference_period. The time period should be defined by the bounds of the time coordinate., Percent)
rx1day (Maximum of one day precipitation amount in a given time period., mm)
rx5day (Maximum of 5-days moving window precipitation amount in a given time period., mm)
simple_daily_intensity_index_per_time_period (Simple daily intensity index is the mean of precipitation amount on wet days. A wet day is a day with precipitation sum of at least 1 mm. The time period should be defined by the bounds of the time coordinate., mm)
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)


AdriaClim Indicators | adriaclim_WRF | yearly | hist | cdd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
number_of_cdd_periods_with_more_than_5days_per_time_period (Number of cdd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
consecutive_dry_days_index_per_time_period (Consecutive dry days is the greatest number of consecutive days per time period with daily precipitation amount  below 1 mm. The time period should be defined by the bounds of the time coordinate., No)


AdriaClim Indicators | adriaclim_WRF | yearly | hist | csu

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


AdriaClim Indicators | adriaclim_WRF | yearly | hist | cwd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
number_of_cwd_periods_with_more_than_5days_per_time_period (Number of cwd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
consecutive_wet_days_index_per_time_period (Consecutive wet days is the greatest number of consecutive days per time period with daily precipitation above 1 mm. The time period should be defined by the bounds of the time coordinate., No)


AdriaClim Indicators | adriaclim_WRF | yearly | 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])


AdriaClim Indicators | adriaclim_WRF | 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)


AdriaClim Indicators | adriaclim_WRF | yearly | hist | r95p

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
very_wet_days_wrt_95th_percentile_of_reference_period (This is the percent of time per time period of wet days (daily sum at least 1 mm / day) where daily precipitation amount of a wet day is above a reference value. The reference value is calculated  as the 95th percentile of all wet days of a given 30 year, Percent)


AdriaClim Indicators | adriaclim_WRF | yearly | hist | r95ptot

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
precipitation_percent_due_to_R95p_days (Percentage of  total  precipitation amount per time period  due to  very_wet_days_wrt_95th_percentile_of_reference_period. The time period should be defined by the bounds of the time coordinate., Percent)


AdriaClim Indicators | adriaclim_WRF | yearly | hist | rx1day

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [Times][latitude][longitude]):
rx1day (Maximum of one day precipitation amount in a given time period., mm)


AdriaClim Indicators | adriaclim_WRF | yearly | hist | rx5day

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [Times][latitude][longitude]):
rx5day (Maximum of 5-days moving window precipitation amount in a given time period., mm)


AdriaClim Indicators | adriaclim_WRF | yearly | hist | sdii

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
simple_daily_intensity_index_per_time_period (Simple daily intensity index is the mean of precipitation amount on wet days. A wet day is a day with precipitation sum of at least 1 mm. The time period should be defined by the bounds of the time coordinate., mm)


AdriaClim Indicators | adriaclim_WRF | 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.)


AdriaClim Indicators | adriaclim_WRF | yearly | hist | tg

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


AdriaClim Indicators | adriaclim_WRF | 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)


AdriaClim Indicators | adriaclim_WRF | yearly | hist | txn

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


AdriaClim Indicators | adriaclim_WRF | yearly | hist | txx

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


AdriaClim Indicators | adriaclim_WRF | yearly | proj | cdd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
number_of_cdd_periods_with_more_than_5days_per_time_period (Number of cdd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
consecutive_dry_days_index_per_time_period (Consecutive dry days is the greatest number of consecutive days per time period with daily precipitation amount  below 1 mm. The time period should be defined by the bounds of the time coordinate., No)


AdriaClim Indicators | adriaclim_WRF | yearly | proj | csu

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


AdriaClim Indicators | adriaclim_WRF | yearly | proj | cwd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
number_of_cwd_periods_with_more_than_5days_per_time_period (Number of cwd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
consecutive_wet_days_index_per_time_period (Consecutive wet days is the greatest number of consecutive days per time period with daily precipitation above 1 mm. The time period should be defined by the bounds of the time coordinate., No)


AdriaClim Indicators | adriaclim_WRF | yearly | 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])


AdriaClim Indicators | adriaclim_WRF | 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)


AdriaClim Indicators | adriaclim_WRF | yearly | proj | r95p

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
very_wet_days_wrt_95th_percentile_of_reference_period (This is the percent of time per time period of wet days (daily sum at least 1 mm / day) where daily precipitation amount of a wet day is above a reference value. The reference value is calculated  as the 95th percentile of all wet days of a given 30 year, Percent)


AdriaClim Indicators | adriaclim_WRF | yearly | proj | r95ptot

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
precipitation_percent_due_to_R95p_days (Percentage of  total  precipitation amount per time period  due to  very_wet_days_wrt_95th_percentile_of_reference_period. The time period should be defined by the bounds of the time coordinate., Percent)


AdriaClim Indicators | adriaclim_WRF | yearly | proj | rx1day

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [Times][latitude][longitude]):
rx1day (Maximum of one day precipitation amount in a given time period., mm)


AdriaClim Indicators | adriaclim_WRF | yearly | proj | rx5day

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [Times][latitude][longitude]):
rx5day (Maximum of 5-days moving window precipitation amount in a given time period., mm)


AdriaClim Indicators | adriaclim_WRF | yearly | proj | sdii

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
simple_daily_intensity_index_per_time_period (Simple daily intensity index is the mean of precipitation amount on wet days. A wet day is a day with precipitation sum of at least 1 mm. The time period should be defined by the bounds of the time coordinate., mm)


AdriaClim Indicators | adriaclim_WRF | 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.)


AdriaClim Indicators | adriaclim_WRF | yearly | proj | tg

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


AdriaClim Indicators | adriaclim_WRF | 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)


AdriaClim Indicators | adriaclim_WRF | yearly | proj | txn

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


AdriaClim Indicators | adriaclim_WRF | yearly | proj | txx

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


AdriaClim Indicators | ARPAE | Cesenatico - 95% percentile monthly values for significant wave height: 2007-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
a_95_BO_9_m (95 BO-9(m))


AdriaClim Indicators | ARPAE | Cesenatico - 95% percentile yearly values for significant wave height: 2008-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
a_95_BO_9_m (95 BO-9(m))


AdriaClim Indicators | ARPAE | Cesenatico - Monthly maximum values for significant wave height: 2007-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
BO_9 (BO-9 (m))


AdriaClim Indicators | ARPAE | Cesenatico - Monthly mean values for significant wave height: 2007-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
BO_9 (BO-9 (m))


AdriaClim Indicators | ARPAE | Cesenatico - Monthly number of sea storm events: 2007-2022

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


AdriaClim Indicators | ARPAE | Cesenatico - Monthly peak wave period: 2007-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Tp_Min (Tp Min (s))
Tp_Mean (Tp Mean (s))
Tp_Max (Tp Max (s))


AdriaClim Indicators | ARPAE | Cesenatico - Monthly total sea storm duration: 2007-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
ST_Tdu (ST-Tdu (h))


AdriaClim Indicators | ARPAE | Cesenatico - Seasonal fall number of sea storm events: 2008-2022

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


AdriaClim Indicators | ARPAE | Cesenatico - Seasonal spring number of sea storm events: 2008-2022

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


AdriaClim Indicators | ARPAE | Cesenatico - Seasonal summer number of sea storm events: 2008-2022

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


AdriaClim Indicators | ARPAE | Cesenatico - Seasonal winter number of sea storm events: 2007-2022

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


AdriaClim Indicators | ARPAE | Cesenatico - Total frequency of rough sea conditions: 2007-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
BO_8 (BO-8 (h))
BO_8_2 (BO-8 (d))


AdriaClim Indicators | ARPAE | Cesenatico - Yearly frequency of rough sea conditions: 2008-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
BO_8 (BO-8 (h))
BO_8_2 (BO-8 (d))


AdriaClim Indicators | ARPAE | Cesenatico - Yearly maximum values for significant wave height: 2008-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
BO_9 (BO-9 (m))


AdriaClim Indicators | ARPAE | Cesenatico - Yearly mean Sea storm duration : 2008-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
ST_Mdu (ST-Mdu (h))


AdriaClim Indicators | ARPAE | Cesenatico - Yearly mean values for significant wave height: 2008-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
BO_9 (BO-9 (m))


AdriaClim Indicators | ARPAE | Cesenatico - Yearly number of sea storm events: 2008-2022

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


AdriaClim Indicators | ARPAE | Cesenatico - Yearly peak wave period: 2008-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Tp_Min (Tp Min (s))
Tp_Mean (Tp Mean (s))
Tp_Max (Tp Max (s))


AdriaClim Indicators | ARPAE | Cesenatico - Yearly total energy of sea storm events : 2008-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
ST_Ten (ST-Ten (m� H))


AdriaClim Indicators | ARPAE | Cesenatico - Yearly total of sea storm duration: 2008-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
ST_Tdu (ST-Tdu (h))


AdriaClim Indicators | ARPAE | Monthly minimum, mean, and maximum values for dissolved oxygen: 2009-2016

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
mg_L (Mg/L (min))
mg_L_2 (Mg/L (mean))
mg_L_3 (Mg/L (max))


AdriaClim Indicators | ARPAE | Porto Garibaldi - Monthly 95% percentile values for sea level: 2009-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
SL95 (SL95 (M))


AdriaClim Indicators | ARPAE | Porto Garibaldi - Monthly maximum values for sea level: 2009-2022

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


AdriaClim Indicators | ARPAE | Porto Garibaldi - Monthly mean values for sea level: 2009-2022

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


AdriaClim Indicators | ARPAE | Porto Garibaldi - Monthly minimum, mean, maximum values for sea surface salinity: 2009-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
SSS_Min (Sea Water Practical Salinity, PSU)
SSS_Mean (Sea Water Practical Salinity, PSU)
SSS_Max (Sea Water Practical Salinity, PSU)


AdriaClim Indicators | ARPAE | Porto Garibaldi - Yearly 95% percentile values for sea level: 2010-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
SL95 (SL95 (M))


AdriaClim Indicators | ARPAE | Porto Garibaldi - Yearly 95% percentile values for sea surface salinity: 2010-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
SSS95 (Sea Water Practical Salinity, PSU)


AdriaClim Indicators | ARPAE | Porto Garibaldi - Yearly maximum values for sea level: 2010-2022

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


AdriaClim Indicators | ARPAE | Porto Garibaldi - Yearly mean values for sea level: 2010-2022

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


AdriaClim Indicators | ARPAE | Porto Garibaldi - Yearly minimum, mean, maximum values for sea surface salinity: 2010-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
SSS_Min (Sea Water Practical Salinity, PSU)
SSS_Mean (Sea Water Practical Salinity, PSU)
SSS_Max (Sea Water Practical Salinity, PSU)


AdriaClim Indicators | ARPAE | seasonal fall values of dissolved oxygen: 2009-2015

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
mg_L (Mg/L (min))
mg_L_2 (Mg/L (mean))
mg_L_3 (Mg/L (max))


AdriaClim Indicators | ARPAE | seasonal spring values of dissolved oxygen: 2010-2016

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
mg_L (Mg/L (min))
mg_L_2 (Mg/L (mean))
mg_L_3 (Mg/L (max))


AdriaClim Indicators | ARPAE | seasonal summer values of dissolved oxygen: 2009-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
mg_L (Mg/L (min))
mg_L_2 (Mg/L (mean))
mg_L_3 (Mg/L (max))


AdriaClim Indicators | ARPAE | seasonal winter values of dissolved oxygen: 2009-2021

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
mg_L (Mg/L (min))
mg_L_2 (Mg/L (mean))
mg_L_3 (Mg/L (max))


AdriaClim Indicators | ARPAE | Yearly values for dissolved oxygen: 2010-2016

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
mg_L (Mg/L (min))
mg_L_2 (Mg/L (mean))
mg_L_3 (Mg/L (max))


AdriaClim Indicators | ARPAFVG | Temperature, Salinity, Sea Surface Height Pilot Area FVG

cdm_data_type = Point
VARIABLES:
Field
Period
Period_label
Decade
time (Decade-date, seconds since 1970-01-01T00:00:00Z)
Serial_code
RCP
Delta_50th
Delta_mean
node
latitude (degrees_north)
longitude (degrees_east)
global_model
regional_model


AdriaClim Indicators | ARPAV | CDD anomaly seasonal 1992-2011

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Giorni_consecutivi_secchi_CDD_anomaly_1992_2011_gg (Giorni Consecutivi Secchi CDD Anomaly 1992 2011 [gg])


AdriaClim Indicators | ARPAV | CDD anomaly yearly 1992-2011

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Giorni_consecutivi_secchi_CDD_anomaly_1992_2011_gg (Giorni Consecutivi Secchi CDD Anomaly 1992 2011 [gg])


AdriaClim Indicators | ARPAV | CDD seasonal 1991-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Giorni_consecutivi_secchi_CDD_gg (Giorni Consecutivi Secchi CDD [gg])


AdriaClim Indicators | ARPAV | CDD trend seasonal 1992-2011

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Giorni_consecutivi_secchi_CDD_trend_1992_2011_gg_per_anno (Giorni Consecutivi Secchi CDD Trend 1992 2011 [gg Per Anno])
Giorni_consecutivi_secchi_CDD_pvalue_1992_2011
Giorni_consecutivi_secchi_CDD_avg_1992_2011_gg (Giorni Consecutivi Secchi CDD Avg 1992 2011 [gg])


AdriaClim Indicators | ARPAV | CDD trend yearly 1992-2011

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Giorni_consecutivi_secchi_CDD_trend_1992_2011_gg_per_anno (Giorni Consecutivi Secchi CDD Trend 1992 2011 [gg Per Anno])
Giorni_consecutivi_secchi_CDD_pvalue_1992_2011
Giorni_consecutivi_secchi_CDD_avg_1992_2011_gg (Giorni Consecutivi Secchi CDD Avg 1992 2011 [gg])


AdriaClim Indicators | ARPAV | CDD yearly 1991-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Giorni_consecutivi_secchi_CDD_gg (Giorni Consecutivi Secchi CDD [gg])


AdriaClim Indicators | ARPAV | HWN anomaly seasonal 1992-2011

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Numero_di_ondate_di_calore_HWN_anomaly_1992_2011_nr (Numero Di Ondate Di Calore HWN Anomaly 1992 2011 [nr])


AdriaClim Indicators | ARPAV | HWN anomaly yearly 1992-2011

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Numero_di_ondate_di_calore_HWN_anomaly_1992_2011_nr (Numero Di Ondate Di Calore HWN Anomaly 1992 2011 [nr])


AdriaClim Indicators | ARPAV | HWN seasonal 1991-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Numero_di_ondate_di_calore_HWN_nr (Numero Di Ondate Di Calore HWN [nr])


AdriaClim Indicators | ARPAV | HWN trend seasonal 1992-2011

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Numero_di_ondate_di_calore_HWN_trend_1992_2011_nr_per_anno (Numero Di Ondate Di Calore HWN Trend 1992 2011 [nr Per Anno])
Numero_di_ondate_di_calore_HWN_pvalue_1992_2011
Numero_di_ondate_di_calore_HWN_avg_1992_2011_nr (Numero Di Ondate Di Calore HWN Avg 1992 2011 [nr])


AdriaClim Indicators | ARPAV | HWN trend yearly 1992-2011

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Numero_di_ondate_di_calore_HWN_trend_1992_2011_nr_per_anno (Numero Di Ondate Di Calore HWN Trend 1992 2011 [nr Per Anno])
Numero_di_ondate_di_calore_HWN_pvalue_1992_2011
Numero_di_ondate_di_calore_HWN_avg_1992_2011_nr (Numero Di Ondate Di Calore HWN Avg 1992 2011 [nr])


AdriaClim Indicators | ARPAV | HWN yearly 1991-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Numero_di_ondate_di_calore_HWN_nr (Numero Di Ondate Di Calore HWN [nr])


AdriaClim Indicators | ARPAV | HWTXdx anomaly yearly 1992-2011

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Media_delle_temperature_massime_durante_la_peggior_ondata_di_calore_HWTXdx_anomaly_1992_2011_oC (Media Delle Temperature Massime Durante La Peggior Ondata Di Calore HWTXdx Anomaly 1992 2011 [°C])


AdriaClim Indicators | ARPAV | HWTXdx trend yearly 1992-2011

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Media_delle_temperature_massime_durante_la_peggior_ondata_di_calore_HWTXdx_trend_1992_2011_oC_per_anno (Media Delle Temperature Massime Durante La Peggior Ondata Di Calore HWTXdx Trend 1992 2011 [°C Per Anno])
Media_delle_temperature_massime_durante_la_peggior_ondata_di_calore_HWTXdx_pvalue_1992_2011
Media_delle_temperature_massime_durante_la_peggior_ondata_di_calore_HWTXdx_avg_1992_2011_oC (Media Delle Temperature Massime Durante La Peggior Ondata Di Calore HWTXdx Avg 1992 2011 [°C])


AdriaClim Indicators | ARPAV | HWTXdx yearly 1991-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Media_delle_temperature_massime_durante_la_peggior_ondata_di_calore_HWTXdx_oC (Media Delle Temperature Massime Durante La Peggior Ondata Di Calore HWTXdx [°C])


AdriaClim Indicators | ARPAV | R95pDAY anomaly monthly 1992-2011

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Giorni_con_pioggia_intensa_R95pDAY_anomaly_1992_2011_gg (Giorni Con Pioggia Intensa R95p DAY Anomaly 1992 2011 [gg])


AdriaClim Indicators | ARPAV | R95pDAY anomaly seasonal 1992-2011

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Giorni_con_pioggia_intensa_R95pDAY_anomaly_1992_2011_gg (Giorni Con Pioggia Intensa R95p DAY Anomaly 1992 2011 [gg])


AdriaClim Indicators | ARPAV | R95pDAY anomaly yearly 1992-2011

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Giorni_con_pioggia_intensa_R95pDAY_anomaly_1992_2011_gg (Giorni Con Pioggia Intensa R95p DAY Anomaly 1992 2011 [gg])


AdriaClim Indicators | ARPAV | R95pDAY monthly 1991-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Giorni_con_pioggia_intensa_R95pDAY_gg (Giorni Con Pioggia Intensa R95p DAY [gg])


AdriaClim Indicators | ARPAV | R95pDAY seasonal 1991-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Giorni_con_pioggia_intensa_R95pDAY_gg (Giorni Con Pioggia Intensa R95p DAY [gg])


AdriaClim Indicators | ARPAV | R95pDAY trend monthly 1992-2011

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Giorni_con_pioggia_intensa_R95pDAY_trend_1992_2011_gg_per_anno (Giorni Con Pioggia Intensa R95p DAY Trend 1992 2011 [gg Per Anno])
Giorni_con_pioggia_intensa_R95pDAY_pvalue_1992_2011 (Giorni Con Pioggia Intensa R95p DAY Pvalue 1992 2011)
Giorni_con_pioggia_intensa_R95pDAY_avg_1992_2011_gg (Giorni Con Pioggia Intensa R95p DAY Avg 1992 2011 [gg])


AdriaClim Indicators | ARPAV | R95pDAY trend seasonal 1992-2011

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Giorni_con_pioggia_intensa_R95pDAY_trend_1992_2011_gg_per_anno (Giorni Con Pioggia Intensa R95p DAY Trend 1992 2011 [gg Per Anno])
Giorni_con_pioggia_intensa_R95pDAY_pvalue_1992_2011 (Giorni Con Pioggia Intensa R95p DAY Pvalue 1992 2011)
Giorni_con_pioggia_intensa_R95pDAY_avg_1992_2011_gg (Giorni Con Pioggia Intensa R95p DAY Avg 1992 2011 [gg])


AdriaClim Indicators | ARPAV | R95pDAY trend yearly 1992-2011

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Giorni_con_pioggia_intensa_R95pDAY_trend_1992_2011_gg_per_anno (Giorni Con Pioggia Intensa R95p DAY Trend 1992 2011 [gg Per Anno])
Giorni_con_pioggia_intensa_R95pDAY_pvalue_1992_2011 (Giorni Con Pioggia Intensa R95p DAY Pvalue 1992 2011)
Giorni_con_pioggia_intensa_R95pDAY_avg_1992_2011_gg (Giorni Con Pioggia Intensa R95p DAY Avg 1992 2011 [gg])


AdriaClim Indicators | ARPAV | R95pDAY yearly 1991-2022

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Giorni_con_pioggia_intensa_R95pDAY_gg (Giorni Con Pioggia Intensa R95p DAY [gg])


AdriaClim Indicators | B04, Brunt-Vaisala Frequency | historical

AdriaClim RESM - NEMO - historical | B04 - Brunt-Vaisala Frequency. ocean T grid variables

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
BVF (Brunt Vaisala Frequency, circle hour-1)


AdriaClim Indicators | B04, Brunt-Vaisala Frequency | projection

AdriaClim RESM - NEMO - projection | B04 - Brunt-Vaisala Frequency. ocean T grid variables. unibo data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
BVF (Brunt Vaisala Frequency, circle hour-1)


AdriaClim Indicators | B04, Brunt-Vaisala Frequency | reanalysis

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
BVF (Brunt Vaisala Frequency, circle hour-1)


AdriaClim Indicators | B04, Brunt-Vaisala Frequency | reanalysis trend

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
BVF (brunt-Vaisala Frequency Trend, circle hour-1 year-1)


AdriaClim Indicators | B04, Brunt-Vaisala Frequency | trend historical

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
BVF (brunt-Vaisala Frequency Trend, circle hour-1 year-1)


AdriaClim Indicators | B04, Brunt-Vaisala Frequency | trend projection

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
BVF (brunt-Vaisala Frequency Trend, circle hour-1 year-1)


AdriaClim Indicators | B04, Max Brunt-Vaisala Frequency | historical

AdriaClim RESM - NEMO - historical | B04 - Brunt-Vaisala Frequency. ocean T grid variables. unibo data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
MaxBV (Max Brunt Vaisala Frequency, circle hour-1)


AdriaClim Indicators | B04, Max Brunt-Vaisala Frequency | projection

AdriaClim RESM - NEMO - projection | B04 - Brunt-Vaisala Frequency. ocean T grid variables. unibo data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
MaxBV (Max Brunt Vaisala Frequency, circle hour-1)


AdriaClim Indicators | B04, Max Brunt-Vaisala Frequency | reanalysis

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
MaxBV (Max Brunt Vaisala Frequency, circle hour-1)


AdriaClim Indicators | B04, Max Brunt-Vaisala Frequency | reanalysis trend

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
MaxBV (Max brunt-Vaisala Frequency Trend, circle hour-1 year-1)


AdriaClim Indicators | B04, Max Brunt-Vaisala Frequency | trend historical

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
MaxBV (Max brunt-Vaisala Frequency Trend, circle hour-1 year-1)


AdriaClim Indicators | B04, Max Brunt-Vaisala Frequency | trend projection

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
MaxBV (Max brunt-Vaisala Frequency Trend, circle hour-1 year-1)


AdriaClim Indicators | B06, Photosynthetic Active Radiation | mean difference

Mean monthly Photosynthetic Active Radiation (W/m2). Obtained by multiplying the mean shortwave radiation by a Fraction of Photosynthetically Available Radiation equal to 0.4.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
PAR (Downwelling Photosynthetic Photon Radiance In Sea Water, W m-2)


AdriaClim Indicators | B06, Photosynthetic Active Radiation | mean historical


AdriaClim Indicators | B06, Photosynthetic Active Radiation | mean projection


AdriaClim Indicators | B06, Photosynthetic Active Radiation | trend historical

Mean monthly Photosynthetic Active Radiation (W/m2).
Obtained by multiplying the mean shortwave radiation by a Fraction of Photosynthetically Available Radiation equal to 0.4. Trend computed using the Thiel/Sen slope approach.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
PAR (Downwelling Photosynthetic Photon Radiance In Sea Water, W (m-2 year))


AdriaClim Indicators | B06, Photosynthetic Active Radiation | trend projection

Mean monthly Photosynthetic Active Radiation (W/m2). Obtained by multiplying the mean shortwave radiation by a Fraction of Photosynthetically Available Radiation equal to 0.4. Trend computed using the Thiel/Sen slope approach.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
PAR (Downwelling Photosynthetic Photon Radiance In Sea Water, W (m-2 year))


AdriaClim Indicators | EOBS | cdd | 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


AdriaClim Indicators | EOBS | csu | 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


AdriaClim Indicators | EOBS | cwd | 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


AdriaClim Indicators | EOBS | hwdi | 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


AdriaClim Indicators | EOBS | monthly | cdd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
consecutive_dry_days_index_per_time_period (Consecutive dry days is the greatest number of consecutive days per time period with daily precipitation amount  below 1 mm. The time period should be defined by the bounds of the time coordinate., No)
number_of_cdd_periods_with_more_than_5days_per_time_period (Number of cdd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)


AdriaClim Indicators | EOBS | monthly | 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)


AdriaClim Indicators | EOBS | monthly | cwd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
consecutive_wet_days_index_per_time_period (Consecutive wet days is the greatest number of consecutive days per time period with daily precipitation above 1 mm. The time period should be defined by the bounds of the time coordinate., No)
number_of_cwd_periods_with_more_than_5days_per_time_period (Number of cwd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)


AdriaClim Indicators | EOBS | monthly | hwdi

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


AdriaClim Indicators | EOBS | monthly | r95p

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
very_wet_days_wrt_95th_percentile_of_reference_period (This is the percent of time per time period of wet days (daily sum at least 1 mm / day) where daily precipitation amount of a wet day is above a reference value. The reference value is calculated  as the 95th percentile of all wet days of a given 30 year, Percent)


AdriaClim Indicators | EOBS | monthly | r95ptot

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
precipitation_percent_due_to_R95p_days (Percentage of  total  precipitation amount per time period  due to  very_wet_days_wrt_95th_percentile_of_reference_period. The time period should be defined by the bounds of the time coordinate., Percent)


AdriaClim Indicators | EOBS | monthly | rx1day

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
rx1day (Maximum of one day precipitation amount in a given time period., mm)


AdriaClim Indicators | EOBS | monthly | rx5day

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
rx5day (Maximum of 5-days moving window precipitation amount in a given time period., mm)


AdriaClim Indicators | EOBS | monthly | sdii

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
simple_daily_intensity_index_per_time_period (Simple daily intensity index is the mean of precipitation amount on wet days. A wet day is a day with precipitation sum of at least 1 mm. The time period should be defined by the bounds of the time coordinate., mm)


AdriaClim Indicators | EOBS | monthly | 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.)


AdriaClim Indicators | EOBS | monthly | 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)


AdriaClim Indicators | EOBS | monthly | 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)


AdriaClim Indicators | EOBS | monthly | 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)


AdriaClim Indicators | EOBS | monthly | 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)


AdriaClim Indicators | EOBS | r95p | 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


AdriaClim Indicators | EOBS | r95ptot | 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, Percentage of  total  precipitation amount per time period  due to  very_wet_days_wrt_95th_percentile_of_reference_period per year)
p
std_error


AdriaClim Indicators | EOBS | rx1day | 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, mm year-1)
p
std_error


AdriaClim Indicators | EOBS | rx5day | 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, mm year-1)
p
std_error


AdriaClim Indicators | EOBS | sdii | 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, mm year-1)
p
std_error


AdriaClim Indicators | EOBS | seasonal | cdd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
consecutive_dry_days_index_per_time_period (Consecutive dry days is the greatest number of consecutive days per time period with daily precipitation amount  below 1 mm. The time period should be defined by the bounds of the time coordinate., No)
number_of_cdd_periods_with_more_than_5days_per_time_period (Number of cdd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)


AdriaClim Indicators | EOBS | seasonal | 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)


AdriaClim Indicators | EOBS | seasonal | cwd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
consecutive_wet_days_index_per_time_period (Consecutive wet days is the greatest number of consecutive days per time period with daily precipitation above 1 mm. The time period should be defined by the bounds of the time coordinate., No)
number_of_cwd_periods_with_more_than_5days_per_time_period (Number of cwd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)


AdriaClim Indicators | EOBS | seasonal | hwdi

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


AdriaClim Indicators | EOBS | seasonal | r95p

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
very_wet_days_wrt_95th_percentile_of_reference_period (This is the percent of time per time period of wet days (daily sum at least 1 mm / day) where daily precipitation amount of a wet day is above a reference value. The reference value is calculated  as the 95th percentile of all wet days of a given 30 year, Percent)


AdriaClim Indicators | EOBS | seasonal | r95ptot

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
precipitation_percent_due_to_R95p_days (Percentage of  total  precipitation amount per time period  due to  very_wet_days_wrt_95th_percentile_of_reference_period. The time period should be defined by the bounds of the time coordinate., Percent)


AdriaClim Indicators | EOBS | seasonal | rx1day

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
rx1day (Maximum of one day precipitation amount in a given time period., mm)


AdriaClim Indicators | EOBS | seasonal | rx5day

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
rx5day (Maximum of 5-days moving window precipitation amount in a given time period., mm)


AdriaClim Indicators | EOBS | seasonal | sdii

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
simple_daily_intensity_index_per_time_period (Simple daily intensity index is the mean of precipitation amount on wet days. A wet day is a day with precipitation sum of at least 1 mm. The time period should be defined by the bounds of the time coordinate., mm)


AdriaClim Indicators | EOBS | seasonal | 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.)


AdriaClim Indicators | EOBS | seasonal | tg

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


AdriaClim Indicators | EOBS | seasonal | 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)


AdriaClim Indicators | EOBS | seasonal | 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)


AdriaClim Indicators | EOBS | seasonal | 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)


AdriaClim Indicators | EOBS | su | 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


AdriaClim Indicators | EOBS | tg | 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


AdriaClim Indicators | EOBS | tr | 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


AdriaClim Indicators | EOBS | txn | 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


AdriaClim Indicators | EOBS | txx | 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


AdriaClim Indicators | EOBS | yearly | cdd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
number_of_cdd_periods_with_more_than_5days_per_time_period (Number of cdd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
consecutive_dry_days_index_per_time_period (Consecutive dry days is the greatest number of consecutive days per time period with daily precipitation amount  below 1 mm. The time period should be defined by the bounds of the time coordinate., No)


AdriaClim Indicators | EOBS | yearly | csu

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


AdriaClim Indicators | EOBS | yearly | cwd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
number_of_cwd_periods_with_more_than_5days_per_time_period (Number of cwd periods in given time period with more than 5 days. The time period should be defined by the bounds of the time coordinate., No)
consecutive_wet_days_index_per_time_period (Consecutive wet days is the greatest number of consecutive days per time period with daily precipitation above 1 mm. The time period should be defined by the bounds of the time coordinate., No)


AdriaClim Indicators | EOBS | yearly | hwdi

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


AdriaClim Indicators | EOBS | yearly | r95p

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
very_wet_days_wrt_95th_percentile_of_reference_period (This is the percent of time per time period of wet days (daily sum at least 1 mm / day) where daily precipitation amount of a wet day is above a reference value. The reference value is calculated  as the 95th percentile of all wet days of a given 30 year, Percent)


AdriaClim Indicators | EOBS | yearly | r95ptot

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
precipitation_percent_due_to_R95p_days (Percentage of  total  precipitation amount per time period  due to  very_wet_days_wrt_95th_percentile_of_reference_period. The time period should be defined by the bounds of the time coordinate., Percent)


AdriaClim Indicators | EOBS | yearly | rx1day

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
rx1day (Maximum of one day precipitation amount in a given time period., mm)


AdriaClim Indicators | EOBS | yearly | rx5day

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
rx5day (Maximum of 5-days moving window precipitation amount in a given time period., mm)


AdriaClim Indicators | EOBS | yearly | sdii

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
simple_daily_intensity_index_per_time_period (Simple daily intensity index is the mean of precipitation amount on wet days. A wet day is a day with precipitation sum of at least 1 mm. The time period should be defined by the bounds of the time coordinate., mm)


AdriaClim Indicators | EOBS | yearly | 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.)


AdriaClim Indicators | EOBS | yearly | 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)


AdriaClim Indicators | EOBS | yearly | 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)