Make A Graph

Dataset Title:	Top Dataset, pressure, tke.day.ltm (Daily Long Term Mean NARR) [time][level][ y][x], 0001
Institution:	National Centers for Environmental Prediction (Dataset ID: noaa_esrl_2fb9_1405_a81e)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form

To work correctly, this web page requires that JavaScript be enabled in your browser. Please:
1) Enable JavaScript in your browser:
      • Chrome: "Settings : Show advanced settings : Privacy / Content settings : JavaScript"
      • Firefox: (it should be always on!)"
      • Internet Explorer: "Tools : Internet Options : Security : Internet : Custom level :
          Sripting/ Active Scripting : Enable : OK : OK"
      • Opera: "Settings : Websites : JavaScript"
      • Safari: "Safari : Preferences : Security : Enable JavaScript"
2) Reload this web page.

Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

level (millibar)

specify just 1 value →

y (m)

x (m)

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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range -6.21357696e+10, -6.210432e+10;
    String avg_period "0022-00-00 00:00:00";
    String axis "T";
    String climatology "climatological_bnds";
    String coordinate_defines "start";
    String delta_t "0000-00-01 00:00:00";
    String ioos_category "Time";
    String long_name "Time";
    Int32 ltm_range 1569072, 1761936;
    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";
  }
  level {
    Float32 actual_range 600.0, 1000.0;
    String axis "Z";
    String coordinate_defines "point";
    Int16 GRIB_id 100;
    String GRIB_name "hPa";
    String ioos_category "Pressure";
    String long_name "Level";
    String positive "down";
    String units "millibar";
  }
  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";
  }
  tke {
    Float32 actual_range 0.0, 12.35001;
    String cell_methods "time: mean within day time: mean over years";
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    Int16 GRIB_id 158;
    String GRIB_name "TKE";
    String grid_mapping "Lambert_Conformal";
    String ioos_category "Pressure";
    Int16 least_significant_digit 2;
    String level_desc "Pressure Levels";
    String long_name "Daily Long Term Mean Turbulent Kinetic Energy on Pressure Levels";
    Float32 missing_value -9.96921e+36;
    String parent_stat "Individual Obs";
    Int16 precision 2;
    String statistic "Long Term Mean";
    String units "J/kg";
    Float32 valid_range 0.0, 105.0;
    String var_desc "Turbulent Kinetic Energy";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    Float64 centerlat 50.0;
    Float64 centerlon -107.0;
    String comment 
"Data is from North American Regional Reanalysis
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.";
    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 2005/07 by Hoop (netCDF2.3)
2018-04-24T16:09:14Z https://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/NARR/Derived/pressure/tke.day.ltm.nc
2018-04-24T16:09:14Z http://upwell.pfeg.noaa.gov/griddap/noaa_esrl_2fb9_1405_a81e.das";
    String id "Datasets/NARR/Derived/pressure/tke.day.ltm.nchttps://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/NARR/Derived/pressure/tke.day.ltm.nc";
    String infoUrl "https://www.esrl.noaa.gov/psd/data/gridded/data.narr.html";
    String institution "National Centers for Environmental Prediction";
    String keywords "centers, daily, data, dataset, day, energy, environmental, kinetic, level, levels, long, ltm, mean, narr, national, prediction, pressure, term, time, tke, tke.day.ltm, top, turbulent";
    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/Derived/pressure/tke.day.ltm.nc";
    String standard_name_vocabulary "CF Standard Name Table v29";
    Float64 standardpar1 50.0;
    Float64 standardpar2 50.000001;
    String stream "s1";
    String summary 
"Daily Long Term Mean NARR. Data is from North American Regional Reanalysis
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.";
    String time_coverage_end "0001-12-31T00:00:00Z";
    String time_coverage_start "0001-01-01T00:00:00Z";
    String title "Top Dataset, pressure, tke.day.ltm (Daily Long Term Mean NARR) [time][level][y][x], 0001";
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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.