Make A Graph

Dataset Title:	wspd.mon.mean (Monthly NARR) [time][level][y][x], 1979-present
Institution:	National Centers for Environmental Prediction (Dataset ID: noaa_psl_2347_1bbe_46c2)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form

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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:

(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 2.839968e+8, 1.7092512e+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";
  }
  level {
    Float32 actual_range 100.0, 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";
  }
  wspd {
    Float32 _FillValue 9.9621e+36;
    Float32 actual_range 2.9948115e-4, 78.69577;
    String cell_methods "time: mean (monthly from 3-hourly values)";
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Pressure";
    String level_desc "Pressure Levels";
    String long_name "Monthly Wind Speed on Pressure Levels";
    Float32 missing_value -9.96921e+36;
    String parent_stat "Individual Obs";
    String standard_name "wind_speed";
    String statistic "Mean";
    String units "m/s";
    Float32 valid_range 0.0, 500.0;
    String var_desc "Wind Speed";
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.0,hdf5=1.10.5,";
    String cdm_data_type "Grid";
    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 "National Centers for Environmental Prediction";
    String creator_type "group";
    String creator_url "https://www.ncep.noaa.gov/";
    String dataset_title "NCEP North American Regional Reanalysis (NARR)";
    Float64 grid_mapping_false_easting 5632642.22547;
    Float64 grid_mapping_false_northing 4612545.65137;
    Float64 grid_mapping_latitude_of_projection_origin 50.0;
    Float64 grid_mapping_longitude_of_central_meridian -107.0;
    String grid_mapping_name "lambert_conformal_conic";
    Float64 grid_mapping_standard_parallel 50.0, 50.0;
    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 
Updated 09/01/2015 
Updated 03/01/2016
2024-05-03T18:10:35Z https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Monthlies/pressure/wspd.mon.mean.nc
2024-05-03T18:10:35Z http://upwell.pfeg.noaa.gov/griddap/noaa_psl_2347_1bbe_46c2.das";
    String id "Datasets/NARR/Monthlies/pressure/wspd.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, earth, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, environmental, level, levels, month, monthly, narr, national, prediction, pressure, science, speed, surface, time, wind, wind_speed, winds, wspd, wspd.mon.mean";
    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 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://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Monthlies/pressure/wspd.mon.mean.nc";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"Monthly NARR. Data is from North American Regional Reanalysis
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.";
    String testOutOfDate "now-130days";
    String time_coverage_end "2024-03-01T00:00:00Z";
    String time_coverage_start "1979-01-01T00:00:00Z";
    String title "wspd.mon.mean (Monthly NARR) [time][level][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.

(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.