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ERDDAP > griddap > Make A Graph ?

Dataset Title:  Galway Bay surface currents forecast   RSS
Institution:  Marine Institute   (Dataset ID: galway_bay_surface_forecast)
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 1.7212644e+9, 1.72152e+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 53.11338043873049, 53.28058082541655;
    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 -9.21200390624999, -8.880448468844737;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  sea_surface_height {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 2.0;
    Float64 colorBarMinimum -2.0;
    String ioos_category "Sea Level";
    String long_name "sea surface height";
    String standard_name "sea_surface_height";
    String time "time";
    String units "metre";
  }
  v_surface {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 0.3;
    Float64 colorBarMinimum -0.3;
    String ioos_category "Currents";
    String long_name "surface v-momentum component";
    String time "time";
    String units "metre per second";
  }
  u_surface {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 0.3;
    Float64 colorBarMinimum -0.3;
    String ioos_category "Currents";
    String long_name "surface u-momentum component";
    String time "time";
    String units "metre per second";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    Float64 Easternmost_Easting -8.880448468844737;
    Float64 geospatial_lat_max 53.28058082541655;
    Float64 geospatial_lat_min 53.11338043873049;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -8.880448468844737;
    Float64 geospatial_lon_min -9.21200390624999;
    Float64 geospatial_lon_resolution 9.897177235977707e-4;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-07-19T00:35:27Z (local files)
2024-07-19T00:35:27Z https://erddap.marine.ie/griddap/galway_bay_surface_forecast.das";
    String infoUrl "https://www.marine.ie/site-area/data-services/marine-forecasts/ocean-forecasts";
    String institution "Marine Institute";
    String keywords "component, currents, data, earth, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, height, latitude, level, local, longitude, momentum, ocean, oceans, science, sea, sea level, sea_surface_height, source, ssh, surface, time, topography, u-momentum, u_surface, v-momentum, v_surface";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "Creative Commons Attribution 4.0 (https://creativecommons.org/licenses/by/4.0/)";
    Float64 Northernmost_Northing 53.28058082541655;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 53.11338043873049;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Data from a hydrodynamic model";
    String testOutOfDate "now+1day";
    String time_coverage_end "2024-07-21T00:00:00Z";
    String time_coverage_start "2024-07-18T01:00:00Z";
    String title "Galway Bay surface currents forecast";
    Float64 Westernmost_Easting -9.21200390624999;
  }
}

 

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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