trends_a94e_9387_3a35

Name: AdriaClim Indicators | EOBS | csu | 1991-2020
Creator: Giusy Fedele
License: The data may be used and redistributed for free but is not intended for legal use, since it may contain inaccuracies. Neither the data Contributor, ERD, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information.

Grid DAP Data	Sub- set	Table DAP Data	Make A Graph	W M S	Source Data Files	Title	Sum- mary	FGDC, ISO, Metadata	Back- ground Info	RSS	E mail	Institution	Dataset ID
data			graph	M	files	AdriaClim Indicators \| EOBS \| csu \| 1991-2020		F I M	background			CMCC	trends_a94e_9387_3a35

The Dataset's Variables and Attributes

Row Type	Variable Name	Attribute Name	Data Type	Value
attribute	NC_GLOBAL	adriaclim_dataset	String	observation
attribute	NC_GLOBAL	adriaclim_model	String	EOBS
attribute	NC_GLOBAL	adriaclim_scale	String	adriatic
attribute	NC_GLOBAL	adriaclim_timeperiod	String	yearly
attribute	NC_GLOBAL	adriaclim_type	String	trend
attribute	NC_GLOBAL	Author	String	Giusy Fedele
attribute	NC_GLOBAL	cdm_data_type	String	Grid
attribute	NC_GLOBAL	contact	String	giusy.fedele at cmcc.it
attribute	NC_GLOBAL	Conventions	String	COARDS, CF-1.6, ACDD-1.3
attribute	NC_GLOBAL	Created_date	String	13/06/2023 11:50:46
attribute	NC_GLOBAL	creator_email	String	giusy.fedele at cmcc.it
attribute	NC_GLOBAL	creator_name	String	Giusy Fedele
attribute	NC_GLOBAL	creator_type	String	person
attribute	NC_GLOBAL	creator_url	String	https://www.ec.gc.ca/scitech/default.asp?lang=En&n=61B33C26-1#cmc
attribute	NC_GLOBAL	Description	String	Trends, significance and uncertainties: Linear trends are calculated using a linear least-squares regression for spatially integrated time series. All the observed trends are assessed using a Theil–Sen estimator, while the statistical significance uses a modified Mann–Kendall test.
attribute	NC_GLOBAL	Easternmost_Easting	double	21.94986030317629
attribute	NC_GLOBAL	geospatial_lat_max	double	46.949860540509036
attribute	NC_GLOBAL	geospatial_lat_min	double	37.049860571876735
attribute	NC_GLOBAL	geospatial_lat_resolution	double	0.09999999968315455
attribute	NC_GLOBAL	geospatial_lat_units	String	degrees_north
attribute	NC_GLOBAL	geospatial_lon_max	double	21.94986030317629
attribute	NC_GLOBAL	geospatial_lon_min	double	10.049860350782406
attribute	NC_GLOBAL	geospatial_lon_resolution	double	0.09999999959994861
attribute	NC_GLOBAL	geospatial_lon_units	String	degrees_east
attribute	NC_GLOBAL	infoUrl	String	https://cmcc.it
attribute	NC_GLOBAL	institution	String	CMCC
attribute	NC_GLOBAL	keywords	String	cmcc, csu, data, depth, entire, error, level, mean, over, per, profiler, salinity, salinity-temperature-depth, sample, signif, significance, statistics, std, std_error, temperature, time, timeseries, trend, trends
attribute	NC_GLOBAL	license	String	The data may be used and redistributed for free but is not intended for legal use, since it may contain inaccuracies. Neither the data Contributor, ERD, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information.
attribute	NC_GLOBAL	Northernmost_Northing	double	46.949860540509036
attribute	NC_GLOBAL	sourceUrl	String	(local files)
attribute	NC_GLOBAL	Southernmost_Northing	double	37.049860571876735
attribute	NC_GLOBAL	standard_name_vocabulary	String	CF Standard Name Table v70
attribute	NC_GLOBAL	summary	String	AdriaClim Indicators \| EOBS \| csu \| 1991-2020
attribute	NC_GLOBAL	time_coverage_end	String	2020-01-01T00:00:00Z
attribute	NC_GLOBAL	time_coverage_start	String	2020-01-01T00:00:00Z
attribute	NC_GLOBAL	title	String	AdriaClim Indicators \| EOBS \| csu \| 1991-2020
attribute	NC_GLOBAL	Westernmost_Easting	double	10.049860350782406
dimension	time		double	nValues=1, onlyValue=2020-01-01T00:00:00Z
attribute	time	_CoordinateAxisType	String	Time
attribute	time	actual_range	double	1.5778368E9, 1.5778368E9
attribute	time	axis	String	T
attribute	time	ioos_category	String	Time
attribute	time	long_name	String	Time
attribute	time	standard_name	String	time
attribute	time	time_origin	String	01-JAN-1970 00:00:00
attribute	time	units	String	seconds since 1970-01-01T00:00:00Z
dimension	latitude		double	nValues=100, evenlySpaced=true, averageSpacing=0.09999999968315455
attribute	latitude	_CoordinateAxisType	String	Lat
attribute	latitude	_FillValue	double	NaN
attribute	latitude	actual_range	double	37.049860571876735, 46.949860540509036
attribute	latitude	axis	String	Y
attribute	latitude	ioos_category	String	Location
attribute	latitude	long_name	String	Latitude
attribute	latitude	source_name	String	y
attribute	latitude	standard_name	String	latitude
attribute	latitude	units	String	degrees_north
dimension	longitude		double	nValues=120, evenlySpaced=true, averageSpacing=0.09999999959994861
attribute	longitude	_CoordinateAxisType	String	Lon
attribute	longitude	_FillValue	double	NaN
attribute	longitude	actual_range	double	10.049860350782406, 21.94986030317629
attribute	longitude	axis	String	X
attribute	longitude	ioos_category	String	Location
attribute	longitude	long_name	String	Longitude
attribute	longitude	source_name	String	x
attribute	longitude	standard_name	String	longitude
attribute	longitude	units	String	degrees_east
variable	signif		double	time, latitude, longitude
attribute	signif	_FillValue	double	NaN
attribute	signif	colorBarMaximum	double	1.5
attribute	signif	colorBarMinimum	double	0.0
attribute	signif	ioos_category	String	Unknown
attribute	signif	long_name	String	Trends significance
attribute	signif	missing_value	double	NaN
attribute	signif	name	String	signif
attribute	signif	valid_max	double	1.0
attribute	signif	valid_min	double	0.0
attribute	signif	valid_range	double	0.0, 1.0
variable	trend		double	time, latitude, longitude
attribute	trend	_FillValue	double	NaN
attribute	trend	colorBarMaximum	double	3.0
attribute	trend	colorBarMinimum	double	-2.0
attribute	trend	ioos_category	String	Time
attribute	trend	long_name	String	Mean trend over the entire timeseries, Significance level 0.05
attribute	trend	missing_value	double	NaN
attribute	trend	name	String	trend
attribute	trend	references	String	Josué Martínez Moreno, & Navid C. Constantinou. (2021, January 23). josuemtzmo/xarrayMannKendall: Mann Kendall significance test implemented in xarray. (Version v.1.0.0). Zenodo. http://doi.org/10.5281/zenodo.4458777 https://github.com/josuemtzmo/xarrayMannKendall
attribute	trend	units	String	days year-1
attribute	trend	valid_max	double	2.4240266963292547
attribute	trend	valid_min	double	-1.6614015572858731
attribute	trend	valid_range	double	-1.6614015572858731, 2.4240266963292547
variable	p		double	time, latitude, longitude
attribute	p	_FillValue	double	NaN
attribute	p	ioos_category	String	Unknown
attribute	p	long_name	String	P
variable	std_error		double	time, latitude, longitude
attribute	std_error	_FillValue	double	NaN
attribute	std_error	colorBarMaximum	double	50.0
attribute	std_error	colorBarMinimum	double	0.0
attribute	std_error	ioos_category	String	Statistics
attribute	std_error	long_name	String	Std Error

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.