Make A Graph

Dataset Title:	wrf_grib2 2026060212 Temperature_2m (LCC)
Institution:	Consorzio LaMMA (Dataset ID: wrfFile_2026060212_Temperature_2m_lcc)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

height (m)

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 1.7804016e+9, 1.7804016e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    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";
  }
  height {
    Float64 actual_range 2.0, 2.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "height";
    String positive "up";
    String standard_name "altitude";
    String units "m";
  }
  y {
    Float64 actual_range 0.0, 2097000.0;
    String ioos_category "Location";
    String long_name "y coordinate of projection";
    String standard_name "projection_y_coordinate";
    String units "m";
  }
  x {
    Float64 actual_range 0.0, 2097000.0;
    String ioos_category "Location";
    String long_name "x coordinate of projection";
    String standard_name "projection_x_coordinate";
    String units "m";
  }
  t2m {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 313.0;
    Float64 colorBarMinimum 263.0;
    String grid_mapping "lambert_conformal_conic";
    String ioos_category "Temperature";
    String long_name "2 metre temperature";
    String param "0.0.0";
    String standard_name "air_temperature";
    String units "K";
  }
  NC_GLOBAL {
    String CDI "Climate Data Interface version 2.5.1 (https://mpimet.mpg.de/cdi)";
    String cdm_data_type "Grid";
    String CDO "Climate Data Operators version 2.5.1 (https://mpimet.mpg.de/cdo)";
    String Conventions "CF-1.10, COARDS, ACDD-1.3";
    String creator_name "Consorzio LaMMA";
    String creator_type "institution";
    String creator_url "https://www.lamma.toscana.it/";
    String GDAL "GDAL 3.10.3, released 2025/04/01";
    String history 
"Wed Jun 03 12:43:49 2026: GDAL CreateCopy( /DATA/wrf_file_datasets/views/by_run/2026060212/lcc/Temperature_2m/Temperature_2m_2026060212_lcc_georef.nc, ... )
Wed Jun  3 12:42:47 2026: ncrename -v 2t,t2m /DATA/wrf_file_datasets/nc_lcc/Temperature_2m/Temperature_2m_2026060212_lcc.nc
Wed Jun 03 12:42:37 2026: cdo -f nc copy -seltimestep,1 -selname,2t /DATA/DATI_WRF/2026060212/wrfout_d01_2026-06-02_12_00_00.grib2 /DATA/wrf_file_datasets/nc_lcc/Temperature_2m/Temperature_2m_2026060212_lcc.nc
2026-06-10T05:55:51Z (local files)
2026-06-10T05:55:51Z https://erddap.lamma.toscana.it/griddap/wrfFile_2026060212_Temperature_2m_lcc.das";
    String infoUrl "https://www.lamma.toscana.it/";
    String institution "Consorzio LaMMA";
    String keywords "2 metre temperature, air_temperature, atmosphere, height, meteorology, t2m, temperature, time";
    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 "netCDF Operators version 5.3.3 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco, Citation = 10.1016/j.envsoft.2008.03.004)";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "WRF d01 run 2026060212 variabile Temperature_2m su proiezione LCC (pipeline per-file, per-variabile).";
    String time_coverage_end "2026-06-02T12:00:00Z";
    String time_coverage_start "2026-06-02T12:00:00Z";
    String title "wrf_grib2 2026060212 Temperature_2m (LCC)";
  }
}

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://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.