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ERDDAP > griddap > Make A Graph ?

Dataset Title:  Top Dataset, monolevel, wspd.10m.mon.mean (Monthly NARR) [time][y][x], 1979-
present
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Institution:  National Centers for Environmental Prediction   (Dataset ID: noaa_esrl_64d9_a47a_f642)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
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y (m) ?
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< slider >
x (m) ?
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< slider >
 
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Y Axis Minimum:   Maximum:   Ascending: 
 
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    [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 2.839968e+8, 1.5278112e+9;
    String avg_period "0000-01-00 00:00:00";
    String axis "T";
    String coordinate_defines "start";
    String delta_t "0000-01-00 00:00:00";
    String ioos_category "Time";
    String long_name "Time";
    String prev_avg_period "0000-00-01 00:00:00";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  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";
  }
  wspd {
    Float32 _FillValue 9.96921e+36;
    Float32 actual_range 3.701403e-4, 20.13782;
    String cell_methods "time: mean (monthly from daily values)";
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String grid_mapping "Lambert_Conformal";
    String ioos_category "Wind";
    String level_desc "10 m";
    String long_name "Monthly Wind Speed at 10 m";
    Float32 missing_value -9.96921e+36;
    String parent_stat "Mean";
    String standard_name "wind_speed";
    String statistic "Mean";
    String units "m/s";
    Float32 valid_range -100.0, 100.0;
    String var_desc "wspd";
  }
  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 
"On 07/08/2015, data from April 2009 forward has been replaced as NCEP has rerun the model from 04/01/2009 - 01/31/2015 to fix codes and Mexican precipitation data preparation. Info at http://rda.ucar.edu/datasets/ds608.0/docs/rr4.pdf
2018-07-17T17:43:03Z https://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/NARR/Monthlies/monolevel/wspd.10m.mon.mean.nc
2018-07-17T17:43:03Z http://upwell.pfeg.noaa.gov/griddap/noaa_esrl_64d9_a47a_f642.das";
    String id "Datasets/NARR/Monthlies/monolevel/wspd.10m.mon.mean.nchttps://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/NARR/Monthlies/monolevel/wspd.10m.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 "atmosphere, atmospheric, centers, data, dataset, earth, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, environmental, monolevel, month, monthly, narr, national, prediction, science, speed, surface, time, top, wind, wind_speed, winds, wspd, wspd.10m.mon.mean";
    String keywords_vocabulary "GCMD Science Keywords";
    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 NCO "4.0.0";
    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/wspd.10m.mon.mean.nc";
    String standard_name_vocabulary "CF Standard Name Table v55";
    Float64 standardpar1 50.0;
    Float64 standardpar2 50.000001;
    String stream "s1";
    String summary "Monthly NARR (Top Dataset, monolevel, wspd.10m.mon.mean)";
    String testOutOfDate "now-85days";
    String time_coverage_end "2018-06-01T00:00:00Z";
    String time_coverage_start "1979-01-01T00:00:00Z";
    String title "Top Dataset, monolevel, wspd.10m.mon.mean (Monthly NARR) [time][y][x], 1979-present";
  }
}

 

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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