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ERDDAP > griddap > Make A Graph ?

Dataset Title:  Meteo Galicia Subscribe RSS
Institution:  Meteo Galicia   (Dataset ID: MeteoGalicia)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
    |< -
< <
y (km) ?
    +
    -
< slider >
x (km) ?
    +
    -
< slider >
 
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
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 ? )
    [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 1.7464932e+9, 1.7468352e+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";
  }
  y {
    String _CoordinateAxisType "GeoY";
    Float64 actual_range 948.0, 1356.0;
    String long_name "y coordinate of projection";
    String standard_name "projection_y_coordinate";
    Float64 step 12.0;
    String units "km";
  }
  x {
    String _CoordinateAxisType "GeoX";
    Float64 actual_range 1152.0, 1596.0;
    String long_name "x coordinate of projection";
    String standard_name "projection_x_coordinate";
    Float64 step 12.0;
    String units "km";
  }
  u {
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String long_name "lon-wind at 10m";
    String standard_name "eastward_wind";
    String units "m s-1";
  }
  ulev1 {
    String long_name "lon-wind at modelo level 1";
    String standard_name "eastward_wind_at_model_lev1";
    String units "m s-1";
  }
  ulev2 {
    String long_name "lon-wind at modelo level 2";
    String standard_name "eastward_wind_at_model_lev2";
    String units "m s-1";
  }
  ulev3 {
    String long_name "lon-wind at modelo level 3";
    String standard_name "eastward_wind_at_model_lev3";
    String units "m s-1";
  }
  v {
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String long_name "lat-wind at 10m";
    String standard_name "northward_wind";
    String units "m s-1";
  }
  vlev1 {
    String long_name "lat-wind at model level 1";
    String standard_name "northward_wind_at_model_lev1";
    String units "m s-1";
  }
  vlev2 {
    String long_name "lat-wind at model level 2";
    String standard_name "northward_wind_at_model_lev2";
    String units "m s-1";
  }
  vlev3 {
    String long_name "lat-wind at model level 3";
    String standard_name "northward_wind_at_model_lev3";
    String units "m s-1";
  }
  wind_gust {
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Wind Gust";
    String standard_name "wind_speed_of_gust";
    String units "m s-1";
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.9.1,hdf5=1.10.7";
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String grid_mapping__CoordinateAxisTypes "GeoX GeoY";
    String grid_mapping__CoordinateTransformType "Projection";
    Float64 grid_mapping_false_easting 536.40234;
    Float64 grid_mapping_false_northing -18.55861;
    Float64 grid_mapping_latitude_of_projection_origin 34.823001861572266;
    Float64 grid_mapping_longitude_of_central_meridian -14.100000381469727;
    String grid_mapping_name "lambert_conformal_conic";
    Float64 grid_mapping_standard_parallel 43.0, 43.0;
    String history 
"Convertidor WGRIB 2025-05-06 06:34:48
2025-05-06T06:09:59Z (local files)
2025-05-06T06:09:59Z https://www.euskoos.eus/griddap/MeteoGalicia.das";
    String infoUrl "???";
    String institution "Meteo Galicia";
    String keywords "10m, atmosphere, atmospheric, data, earth, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, eastward, eastward_wind, eastward_wind_at_model_lev1, eastward_wind_at_model_lev2, eastward_wind_at_model_lev3, gust, lat-wind, lev1, lev2, lev3, level, local, lon-wind, model, modelo, northward, northward_wind, northward_wind_at_model_lev1, northward_wind_at_model_lev2, northward_wind_at_model_lev3, science, source, speed, surface, time, u, ulev1, ulev2, ulev3, v, vlev1, vlev2, vlev3, wind, wind_gust, wind_speed_of_gust, winds";
    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 sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "MeteoGalicia";
    String testOutOfDate "now+4days";
    String time_coverage_end "2025-05-10T00:00:00Z";
    String time_coverage_start "2025-05-06T01:00:00Z";
    String title "Meteo Galicia";
  }
}

 

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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