Make A Graph

Dataset Title:	AdriaClimPlus \| CMCC \| EvalRUN \| NEMO \| 1990-1999 \| 2D ocean T grid variables 3h
Institution:	CMCC \| GOCO Division (Dataset ID: AdriaClimPlus-EvalRun-NEMO-3h-public)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

latitude (degrees_north)

longitude (degrees_east)

Graph Settings
Color Bar:	Continuity:	Scale:
Minimum:	Maximum:	N Sections:
Draw land mask:
Y Axis Minimum:	Maximum:

(Please be patient. It may take a while to get the data.)

Optional:
Then set the File Type: (File Type information)
and

or view the URL:
(Documentation / Bypass this form

)

Click on the map to specify a new center point.

Zoom:

[The graph you specified. Please be patient.]

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 6.311574e+8, 9.466794e+8;
    String axis "T";
    String calendar "gregorian";
    String ioos_category "Time";
    String long_name "Time axis";
    String source_name "time_counter";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 39.0, 45.875;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 12.0, 20.97917;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  sossheig {
    Float32 _FillValue NaN;
    String cell_methods "time: point";
    Float64 colorBarMaximum 2.0;
    Float64 colorBarMinimum -2.0;
    String interval_operation "3 h";
    String interval_write "3 h";
    String ioos_category "Sea Level";
    String long_name "Sea Surface Height Above Geoid";
    Float32 missing_value NaN;
    String online_operation "instant";
    String standard_name "sea_surface_height_above_geoid";
    String units "m";
  }
  vosaline {
    Float32 _FillValue NaN;
    String cell_methods "time: point";
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String interval_operation "3 h";
    String interval_write "3 h";
    String ioos_category "Salinity";
    String long_name "Sea Surface Water Salinity";
    Float32 missing_value NaN;
    String online_operation "instant";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  votemper {
    Float32 _FillValue NaN;
    String cell_methods "time: point";
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String interval_operation "3 h";
    String interval_write "3 h";
    String ioos_category "Temperature";
    String long_name "Sea Surface Water Potential Temperature";
    Float32 missing_value NaN;
    String online_operation "instant";
    String standard_name "bulk_sea_surface_temperature";
    String units "degree_C";
  }
  wspd {
    Float32 _FillValue NaN;
    String cell_methods "time: mean (interval: 120 s)";
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String interval_operation "120 s";
    String interval_write "3 h";
    String ioos_category "Wind";
    String long_name "Wind Speed Module";
    Float32 missing_value NaN;
    String online_operation "average";
    String standard_name "wind_speed";
    String units "m s-1";
  }
  NC_GLOBAL {
    String adriaclimplus_dataset "model";
    String adriaclimplus_model "NEMO";
    String adriaclimplus_scale "Adriatic";
    String adriaclimplus_timeperiod "3h";
    String CDI "Climate Data Interface version 2.1.1 (https://mpimet.mpg.de/cdi)";
    String cdm_data_type "Grid";
    String CDO "Climate Data Operators version 2.1.1 (https://mpimet.mpg.de/cdo)";
    String Conventions "CF-1.10, COARDS, ACDD-1.3";
    String creator_name "CMCC | GOCO Division";
    String creator_type "institution";
    String creator_url "https://www.ec.gc.ca/scitech/default.asp?lang=En&n=61B33C26-1#cmc";
    String description "ocean T grid variables";
    Float64 Easternmost_Easting 20.97917;
    Float64 geospatial_lat_max 45.875;
    Float64 geospatial_lat_min 39.0;
    Float64 geospatial_lat_resolution 0.020833333333333332;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 20.97917;
    Float64 geospatial_lon_min 12.0;
    Float64 geospatial_lon_resolution 0.020833341067285384;
    String geospatial_lon_units "degrees_east";
    String history 
"Fri Jul 12 00:32:09 2024: ncatted -O -a history_of_appended_files,global,o,c, NEMO_ADR_3h_1999123121_grid_T.nc NEMO_ADR_3h_1999123121_grid_T.nc
Fri Jul 12 00:32:09 2024: ncatted -O -a history,global,o,c, NEMO_ADR_3h_1999123121_grid_T.nc NEMO_ADR_3h_1999123121_grid_T.nc
2026-04-21T20:13:20Z (local files)
2026-04-21T20:13:20Z https://erddap-adriaclim.cmcc-opa.eu/griddap/AdriaClimPlus-EvalRun-NEMO-3h-public.das";
    String infoUrl "https://cmcc.it";
    String institution "CMCC | GOCO Division";
    String keywords "above, adriaclimplus, atmosphere, atmospheric, bulk, bulk_sea_surface_temperature, cmcc, counter, data, density, earth, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Oceans > Salinity/Density > Salinity, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, Earth Science > Solid Earth > Geodetics/Gravity > Geoid Properties, evalrun, geodetics, geoid, gravity, grid, height, level, module, nemo, ocean, oceans, potential, practical, properties, salinity, science, sea, sea level, sea_surface_height_above_geoid, sea_water_practical_salinity, seawater, solid, sossheig, speed, surface, temperature, time, time_counter, topography, vosaline, votemper, water, wind, wind_speed, winds, wspd";
    String keywords_vocabulary "GCMD Science Keywords";
    String 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.";
    String name "NEMO_ADR_EVAL_3h_1999123121_grid_T";
    String NCO "netCDF Operators version 5.0.6 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Float64 Northernmost_Northing 45.875;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 39.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "AdriaClimPlus | NEMO | EvalRUN | 3-hourly ocean T grid variables";
    String time_coverage_end "1999-12-31T22:30:00Z";
    String time_coverage_start "1990-01-01T01:30:00Z";
    String timeStamp "2026-Feb-27 22:14:54 GMT";
    String title "AdriaClimPlus | CMCC | EvalRUN | NEMO | 1990-1999 | 2D ocean T grid variables 3h";
    Float64 Westernmost_Easting 12.0;
  }
}

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.