Make A Graph

Dataset Title:	WRF LaMMA 2026111400 Sea_surface_temperature (LCC)
Institution:	Consorzio LaMMA (Dataset ID: wrfFile_2026111400_Sea_surface_temperature_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 →

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:
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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:

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 {
    UInt32 _ChunkSizes 1;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.7946144e+9, 1.7948736e+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";
  }
  y {
    UInt32 _ChunkSizes 1399;
    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 {
    UInt32 _ChunkSizes 1399;
    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";
  }
  sst {
    UInt32 _ChunkSizes 1, 1399, 1399;
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 305.0;
    Float64 colorBarMinimum 280.0;
    String colorBarPalette "Rainbow";
    String ioos_category "Temperature";
    String long_name "Sea surface temperature";
    Float32 missing_value 9.96921e+36;
    String param "0.3.10";
    String units "K";
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.9.3,hdf5=1.14.5";
    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 3.13.2 \"Iowa City\", released 2026/07/20";
    String grid_mapping_crs_wkt "PROJCS[\"unnamed\",GEOGCS[\"unknown\",DATUM[\"unnamed\",SPHEROID[\"Sphere\",6371229,0]],PRIMEM[\"Greenwich\",0],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]]],PROJECTION[\"Lambert_Conformal_Conic_2SP\"],PARAMETER[\"latitude_of_origin\",37.21344],PARAMETER[\"central_meridian\",11],PARAMETER[\"standard_parallel_1\",43.421665],PARAMETER[\"standard_parallel_2\",37.21344],PARAMETER[\"false_easting\",1048701.9411329],PARAMETER[\"false_northing\",628086.382164258],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],AXIS[\"Easting\",EAST],AXIS[\"Northing\",NORTH]]";
    String grid_mapping_false_easting "1048701.9411329";
    String grid_mapping_false_northing "628086.382164258";
    String grid_mapping_GeoTransform "-750 1500 0 2097750 0 -1500";
    String grid_mapping_grid_mapping_name "lambert_conformal_conic";
    String grid_mapping_inverse_flattening "0.0";
    String grid_mapping_latitude_of_projection_origin "37.21344";
    String grid_mapping_long_name "CRS definition";
    String grid_mapping_longitude_of_central_meridian "11.0";
    String grid_mapping_longitude_of_prime_meridian "0.0";
    String grid_mapping_semi_major_axis "6371229.0";
    String grid_mapping_spatial_ref "PROJCS[\"unnamed\",GEOGCS[\"unknown\",DATUM[\"unnamed\",SPHEROID[\"Sphere\",6371229,0]],PRIMEM[\"Greenwich\",0],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]]],PROJECTION[\"Lambert_Conformal_Conic_2SP\"],PARAMETER[\"latitude_of_origin\",37.21344],PARAMETER[\"central_meridian\",11],PARAMETER[\"standard_parallel_1\",43.421665],PARAMETER[\"standard_parallel_2\",37.21344],PARAMETER[\"false_easting\",1048701.9411329],PARAMETER[\"false_northing\",628086.382164258],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],AXIS[\"Easting\",EAST],AXIS[\"Northing\",NORTH]]";
    String grid_mapping_standard_parallel "43.421665 37.21344";
    String history 
"Sat Nov 14 12:21:38 2026: ncatted -O -a _FillValue,sst,o,f,9.96921e36 -a missing_value,sst,o,f,9.96921e36 /DATA/wrf_file_datasets/tmp/sst_single_level_latlon_rebuild/Sea_surface_temperature_2026111400_2026111700_lcc_georef.nc
Sat Nov 14 12:21:37 2026: GDAL CreateCopy( /DATA/wrf_file_datasets/tmp/sst_single_level_latlon_rebuild/Sea_surface_temperature_2026111400_2026111700_lcc_georef.nc, ... )
Sat Nov 14 12:21:37 2026: ncatted -O -a _FillValue,sst,o,f,9.96921e36 -a missing_value,sst,o,f,9.96921e36 /DATA/wrf_file_datasets/tmp/sst_single_level_latlon_rebuild/raw_sst_lcc.nc
Sat Nov 14 12:21:37 2026: cdo -f nc copy -seltimestep,1 -selname,sst /DATA/DATI_WRF/2026111400/wrfout_d01_2026-11-17_00_00_00.grib2 /DATA/wrf_file_datasets/tmp/sst_single_level_latlon_rebuild/raw_sst_lcc.nc
2026-11-15T00:08:53Z (local files)
2026-11-15T00:08:53Z https://erddap.lamma.toscana.it/griddap/wrfFile_2026111400_Sea_surface_temperature_lcc.das";
    String infoUrl "https://www.lamma.toscana.it/";
    String institution "Consorzio LaMMA";
    String keywords "forecast, LaMMA, Sea surface temperature, sst, WRF";
    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 summary "Modello WRF d01 del Consorzio LaMMA, run 20261114 00 UTC: Sea surface temperature (sst) in proiezione LCC, un file per istante di previsione.";
    String time_coverage_end "2026-11-17T00:00:00Z";
    String time_coverage_start "2026-11-14T00:00:00Z";
    String title "WRF LaMMA 2026111400 Sea_surface_temperature (LCC)";
    String wrf_projection "LCC";
    String wrf_run "2026111400";
  }
}

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.