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Dataset Title:	North Adriatic Temperature and Salinity Climatology V1 seasonal 1955-2016
Institution:	Istituto Nazionale di Geofisica e Vulcanologia - Sezione di Bologna (Dataset ID: NADR_CLIM_TS_3KM_1_s)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

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Stop

time (UTC)

specify just 1 value →

depth (m)

specify just 1 value →

latitude (degrees_north)

longitude (degrees_east)

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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 5.08896e+8, 5.324832e+8;
    String axis "T";
    String calendar "standard";
    String climatology "climatology_bounds";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 actual_range 0.0, 50.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 43.5, 46.2;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 11.5, 15.982;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Salinity {
    Int32 _ChunkSizes 1, 1, 100, 100;
    Float32 _FillValue 9.96921e+36;
    String cell_methods "time: mean within years time: mean over years";
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum 32.0;
    String ioos_category "Salinity";
    String long_name "Water body salinity";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  Salinity_L1 {
    Int32 _ChunkSizes 1, 1, 100, 100;
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum 32.0;
    String ioos_category "Statistics";
    String long_name "Water body salinity masked using relative error threshold 0.3";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  Salinity_L2 {
    Int32 _ChunkSizes 1, 1, 100, 100;
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum 32.0;
    String ioos_category "Statistics";
    String long_name "Water body salinity masked using relative error threshold 0.5";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  Salinity_relerr {
    Int32 _ChunkSizes 1, 1, 100, 100;
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Relative error of Water body salinity";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
    Float32 valid_max 1.0;
    Float32 valid_min 0.0;
  }
  Temperature {
    Int32 _ChunkSizes 1, 1, 100, 100;
    Float32 _FillValue 9.96921e+36;
    String cell_methods "time: mean within years time: mean over years";
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 4.0;
    String ioos_category "Temperature";
    String long_name "ITS-90 water temperature";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_temperature";
    String units "degree_C";
  }
  Temperature_L1 {
    Int32 _ChunkSizes 1, 1, 100, 100;
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 4.0;
    String ioos_category "Statistics";
    String long_name "ITS-90 water temperature masked using relative error threshold 0.3";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_temperature";
    String units "degree_C";
  }
  Temperature_L2 {
    Int32 _ChunkSizes 1, 1, 100, 100;
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 4.0;
    String ioos_category "Statistics";
    String long_name "ITS-90 water temperature masked using relative error threshold 0.5";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_temperature";
    String units "degree_C";
  }
  Temperature_relerr {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Relative error of ITS-90 water temperature";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_temperature";
    String units "degree_C";
    Float32 valid_max 1.0;
    Float32 valid_min 0.0;
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.4,hdf5=1.12.0,";
    String abstract "NADR_CLIM_TS_3KM.1 product contains Temperature and Salinity climatological fields for the Northern Adriatic Sea computed from SeaDataNet infrastructure and CORA (Coriolis Ocean dataset for ReAnalysis) integrated dataset. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions) version 2.6.1";
    String acknowledgement "Product funded in the framework of the Service Contract EASME/ EMFF/2018/1.3.1.8/Lot3/SI2.810790 - EMODnet - Physics";
    String area_keywords "Mediterranean Sea";
    String area_keywords_urn "SDN:C19::3_1";
    String Author_email "Damiano Delrosso <damiano.delrosso@ingv.it>, Antonio Novellino <antonio.novellino@ettsolutions.com>, Simona Simoncelli <simona.simoncelli@ingv.it>, Paolo Oliveri <paolo.oliveri@ingv.it>, Antonio Guarnieri <antonio.guarnieri@ingv.it>";
    String bathymetry_source "The GEBCO Digital Atlas published by the British Oceanographic Data Centre on behalf of IOC and IHO, 2003";
    String cdm_data_type "Grid";
    String comment "Duplicates removal and QC applied to the integrated dataset";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_name "Istituto Nazionale di Geofisica e Vulcanologia - Sezione di Bologna";
    String creator_url "https://doi.org/10.13127/nadr_clim_ts_3km.1";
    String data_access "http://oceano.bo.ingv.it/erddap/categorize/keywords/nadr_clim_ts_3km.1/";
    String date "2020-12-14T12:38:00";
    String documentation "n.a.";
    String doi "https://doi.org/10.13127/nadr_clim_ts_3km.1";
    Float64 Easternmost_Easting 15.982;
    String file_name "NADR_CLIM_S_3KM.1_1955_2016_seasonal.nc";
    Float64 geospatial_lat_max 46.2;
    Float64 geospatial_lat_min 43.5;
    Float64 geospatial_lat_resolution 0.027000000000000027;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 15.982;
    Float64 geospatial_lon_min 11.5;
    Float64 geospatial_lon_resolution 0.026999999999999996;
    String geospatial_lon_units "degrees_east";
    String history 
"observational data from SeaDataNet, CORA 5.2
2024-11-15T12:09:09Z (local files)
2024-11-15T12:09:09Z http://oceano.bo.ingv.it/griddap/NADR_CLIM_TS_3KM_1_s.das";
    String infoUrl "https://doi.org/10.13127/nadr_clim_ts_3km.1";
    String institution "Istituto Nazionale di Geofisica e Vulcanologia - Sezione di Bologna";
    String institution_urn "SDN:EDMO::251";
    String keywords "analysis, bologna, data, depth, divand, earth, Earth Science > Oceans > Ocean Temperature > Water Temperature, error, geofisica, istituto, its, its-90, masked, nadr_clim_ts_3km.1, nazionale, ocean, oceans, relative, science, sea, sea_water_temperature, seawater, sezione, situ, statistics, temperature, Temperature_L1, Temperature_L2, Temperature_relerr, threshold, time, using, vulcanologia, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://creativecommons.org/licenses/by-sa/4.0/";
    Float64 Northernmost_Northing 46.2;
    String parameter_keyword "Water body salinity";
    String parameter_keyword_urn "SDN:P35::EPC00001";
    String parameter_keywords "Water body salinity";
    String parameter_keywords_urn "SDN:P35::EPC00001";
    String product_code "NADR_CLIM_TS_3KM.1";
    String product_id "TOBEDONE";
    String product_version "1.0";
    String production "INGV and ETT SpA. Emails: damiano.delrosso@ingv.it; antonio.novellino@ettsolutions.com; simona.simoncelli@ingv.it; paolo.oliveri@ingv.it; antonio.guarnieri@ingv.it";
    String project "EMODnet Physics";
    String search_keywords "Salinity of the water column";
    String search_keywords_urn "SDN:P02::PSAL";
    String source "observational data from SeaDataNet, CORA 5.2";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 43.5;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "NADR_CLIM_TS_3KM.1 product contains Temperature and Salinity climatological fields for the Northern Adriatic Sea computed from SeaDataNet infrastructure and CORA (Coriolis Ocean dataset for ReAnalysis) integrated dataset. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions) version 2.6.1";
    String time_coverage_end "1986-11-16T00:00:00Z";
    String time_coverage_start "1986-02-16T00:00:00Z";
    String title "North Adriatic Temperature and Salinity Climatology V1 seasonal 1955-2016";
    String WEB_visualisation "http://oceano.bo.ingv.it/erddap/categorize/keywords/nadr_clim_ts_3km.1/";
    Float64 Westernmost_Easting 11.5;
  }
}

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link)

Data Access Protocol (DAP) (external link)

and its projection constraints (external link)

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

(easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.