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ERDDAP > griddap > Make A Graph ?

Dataset Title:  Top Dataset, monolevel, weasd.mon.mean (NARR Monthly Means) [y][x] Subscribe RSS
Institution:  National Centers for Environmental Prediction   (Dataset ID: noaa_esrl_7296_057a_175b)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
y (m) ?
    +
    -
< slider >
x (m) ?
    +
    -
< slider >
 
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
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 ? )
    [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 {
  y {
    Float32 actual_range 0.0, 8959788.0;
    String ioos_category "Location";
    String long_name "northward distance from southwest corner of domain in projection coordinates";
    String standard_name "projection_y_coordinate";
    String units "m";
  }
  x {
    Float32 actual_range 0.0, 1.129712e+7;
    String ioos_category "Location";
    String long_name "eastward distance from southwest corner of domain in projection coordinates";
    String standard_name "projection_x_coordinate";
    String units "m";
  }
  lat {
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String coordinate_defines "point";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  lon {
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String coordinate_defines "point";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    Float64 centerlat 50.0;
    Float64 centerlon -107.0;
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_name "NOAA NCEP";
    String creator_type "institution";
    String creator_url "http://www.ncep.noaa.gov/";
    String dataset_title "NCEP North American Regional Reanalysis (NARR)";
    String history 
"created 2016/04/12 by NOAA/ESRL/PSD
2018-04-21T08:03:49Z https://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/NARR/Monthlies/monolevel/weasd.mon.mean.nc
2018-04-21T08:03:49Z http://upwell.pfeg.noaa.gov/griddap/noaa_esrl_7296_057a_175b.das";
    String id "Datasets/NARR/Monthlies/monolevel/weasd.mon.mean.nchttps://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/NARR/Monthlies/monolevel/weasd.mon.mean.nc";
    String infoUrl "https://www.esrl.noaa.gov/psd/data/gridded/data.narr.html";
    String institution "National Centers for Environmental Prediction";
    String keywords "centers, data, dataset, environmental, latitude, longitude, means, monolevel, month, monthly, narr, national, prediction, top, weasd.mon.mean";
    Float32 latcorners 1.000001, 0.897945, 46.3544, 46.63433;
    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.";
    Float32 loncorners -145.5, -68.32005, -2.569891, 148.6418;
    String platform "Model";
    String references "https://www.esrl.noaa.gov/psd/data/gridded/data.narr.html";
    String source "http://www.emc.ncep.noaa.gov/mmb/rreanl/index.html";
    String sourceUrl "https://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/NARR/Monthlies/monolevel/weasd.mon.mean.nc";
    String standard_name_vocabulary "CF Standard Name Table v29";
    Float64 standardpar1 50.0;
    Float64 standardpar2 50.000001;
    String summary "NARR Monthly Means (Top Dataset, monolevel, weasd.mon.mean)";
    String title "Top Dataset, monolevel, weasd.mon.mean (NARR Monthly Means) [y][x]";
  }
}

 

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://upwell.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://upwell.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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