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ERDDAP > griddap > Make A Graph ?

Dataset Title:  BIO WW III Latest Forecasts Gulf Of Maine   RSS
Institution:  Bedford Institute of Oceanography   (Dataset ID: WW3_GulfOfMaine_latest)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background | Data Access Form
 
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:   Ascending: 
 
(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 1.5346368e+9, 1.5348096e+9;
    String axis "T";
    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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 40.05, 46.05;
    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 -72.05, -63.05;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  hs {
    Float32 _FillValue -9.99;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Surface Waves";
    String long_name "Significant Wave Height";
    String standard_name "sea_surface_wave_significant_height";
    String units "m";
  }
  swp {
    Float32 _FillValue -9.99;
    String ioos_category "Surface Waves";
    String long_name "sea_surface_wave_frequency";
    String units "s";
  }
  dir {
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Surface Waves";
    String long_name "Dominant Wave Direction";
    String standard_name "sea_surface_wave_to_direction";
    String units "degree_true";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, Unidata Dataset Discovery v1.0";
    String creator_name "Principal Investigator\">Dr. William Perrie";
    String creator_url "http://www.bio.gc.ca/";
    Float64 Easternmost_Easting -63.05;
    Float64 geospatial_lat_max 46.05;
    Float64 geospatial_lat_min 40.05;
    Float64 geospatial_lat_resolution 0.1;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -63.05;
    Float64 geospatial_lon_min -72.05;
    Float64 geospatial_lon_resolution 0.1;
    String geospatial_lon_units "degrees_east";
    String history 
"2018-08-19T23:39:39Z (local files)
2018-08-19T23:39:39Z http://www.neracoos.org/griddap/WW3_GulfOfMaine_latest.das";
    String infoUrl "http://www.neracoos.org";
    String institution "Bedford Institute of Oceanography";
    String keywords "data, direction, dominant, Earth Science > Oceans > Ocean Waves > Significant Wave Height, Earth Science > Oceans > Ocean Waves > Wave Speed/Direction, frequency, height, local, ocean, oceans, sea, sea_surface_wave_significant_height, sea_surface_wave_to_direction, significant, source., speed, surface, surface waves, wave, waves";
    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 Metadata_Conventions "COARDS, CF-1.6, Unidata Dataset Discovery v1.0";
    Float64 Northernmost_Northing 46.05;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 40.05;
    String standard_name_vocabulary "CF-12";
    String summary "BIO WW III Latest Forecasts Gulf Of Maine";
    String time_coverage_end "2018-08-21T00:00:00Z";
    String time_coverage_start "2018-08-19T00:00:00Z";
    String title "BIO WW III Latest Forecasts Gulf Of Maine";
    Float64 Westernmost_Easting -72.05;
  }
}

 

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[(2015-06-09T09:00:00Z)][(-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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