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ERDDAP > griddap > Make A Graph ?

Dataset Title:  EMODPACE - Deseasonalized Monthly mean for product CMCC_ASLV_GLORYS12v1_GLO Subscribe RSS
Institution:  Canadian Meteorological Centre   (Dataset ID: EMODPACE_CMCC_ASLV_GLORYS12v1_GLO_MEAN_DESEASONALIZED)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
    |< -
< <
latitude (degrees_north) ?
    +
    -
< slider >
longitude (degrees_east) ?
    +
    -
< slider >
 
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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 7.271856e+8, 1.5764976e+9;
    String axis "T";
    String calendar "gregorian";
    String ioos_category "Time";
    String long_name "Time (hours since 1950-01-01)";
    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 -7.0, 45.0;
    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 30.0, 130.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  zos {
    Float32 _FillValue -10.0;
    String cell_methods "area: mean";
    Float64 colorBarMaximum 2.0;
    Float64 colorBarMinimum -2.0;
    String long_name "Sea surface height";
    Float32 missing_value -10.0;
    String standard_name "sea_surface_height_above_geoid";
    String unit_long "Meters";
    String units "m";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "Canadian Meteorological Centre";
    String creator_url "https://www.ec.gc.ca/scitech/default.asp?lang=En&n=61B33C26-1#cmc";
    Float64 Easternmost_Easting 130.0;
    Float64 geospatial_lat_max 45.0;
    Float64 geospatial_lat_min -7.0;
    Float64 geospatial_lat_resolution 0.08333333333333333;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 130.0;
    Float64 geospatial_lon_min 30.0;
    Float64 geospatial_lon_resolution 0.08333333333333333;
    String geospatial_lon_units "degrees_east";
    String history 
"Tue Dec 28 11:08:43 2021: ncatted -a ,global,d,, /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/trend/deseasonalized_mm_199301_201912_MERCATOR--ASLV-GLORYS12v1-GLO.nc
2022-03-02T09:09:35Z (local files)
2022-03-02T09:09:35Z https://erddap.emodnet-physics.eu/erddap/griddap/EMODNET_CMCC_ASLV_GLORYS12v1_GLO_MEAN_DESEASONALIZED.nc?zos%5B(1993-01-16T12:00:00Z):1:(2019-12-16T12:00:00Z)%5D%5B(-7):1:(45)%5D%5B(30):1:(130)%5D
2022-06-27T02:05:01Z (local files)
2022-06-27T02:05:01Z https://erddap.emodnet-physics.eu/griddap/EMODPACE_CMCC_ASLV_GLORYS12v1_GLO_MEAN_DESEASONALIZED.das";
    String infoUrl "https://www.ec.gc.ca/scitech/default.asp?lang=En&n=61B33C26-1#cmc";
    String institution "Canadian Meteorological Centre";
    String keywords "above, canadian, centre, data, earth, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, Earth Science > Solid Earth > Geodetics/Gravity > Geoid Properties, geodetics, geoid, gravity, height, latitude, local, longitude, meteorological, ocean, oceans, properties, science, sea, sea_surface_height_above_geoid, solid, source, surface, time, topography, zos";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "Creative Commons Attribution Share-Alike http://www.opendefinition.org/licenses/cc-by-sa";
    String NCO "netCDF Operators version 4.9.3 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Float64 Northernmost_Northing 45.0;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -7.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "EMODPACE - Deseasonalized Monthly mean for product CMCC_ASLV_GLORYS12v1_GLO";
    String time_coverage_end "2019-12-16T12:00:00Z";
    String time_coverage_start "1993-01-16T12:00:00Z";
    String title "EMODPACE - Deseasonalized Monthly mean for product CMCC_ASLV_GLORYS12v1_GLO";
    Float64 Westernmost_Easting 30.0;
  }
}

 

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.

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.


 
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