Make A Graph

Dataset Title:	Averages of SeaWIFS products at 9km 1-day climatology resolution
Institution:	University of Delaware (Dataset ID: seawifs_9km_1day_clim)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time2 (Julian day of year)

specify just 1 value →

latitude (degrees_north)

longitude (degrees_east)

Graph Settings
Color Bar:	Continuity:	Scale:
Minimum:	Maximum:	N Sections:
Draw land mask:
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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Click on the map to specify a new center point.

Zoom:

[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 {
  time2 {
    UInt32 _ChunkSizes 1048576;
    Int32 actual_range 1, 365;
    String cell_methods "time: mean";
    String ioos_category "Time";
    String long_name "time";
    String units "Julian day of year";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range -89.95833587646484, 89.95833587646484;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -179.9583282470703, 179.95835876464844;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  poc {
    UInt32 _ChunkSizes 1, 720, 1440;
    Float32 _FillValue -999.0;
    String cell_methods "time: mean";
    String ioos_category "Ocean Color";
    String long_name "Particulate Organic Carbon";
    String units "mg m^-3";
  }
  kd_490 {
    UInt32 _ChunkSizes 1, 720, 1440;
    Float32 _FillValue -999.0;
    String cell_methods "time: mean";
    String ioos_category "Unknown";
    String long_name "KD 490";
    String units "m^-1";
  }
  Zeu_lee {
    UInt32 _ChunkSizes 1, 720, 1440;
    Float32 _FillValue -999.0;
    String cell_methods "time: mean";
    String ioos_category "Unknown";
    String long_name "Zeu Lee";
    String units "m";
  }
  par {
    UInt32 _ChunkSizes 1, 720, 1440;
    Float32 _FillValue -999.0;
    String cell_methods "time: mean";
    Float64 colorBarMaximum 70.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Optical Properties";
    String long_name "Downwelling Photosynthetic Photon Radiance In Sea Water";
    String standard_name "downwelling_photosynthetic_photon_radiance_in_sea_water";
    String units "einstein m^-2 day^-1";
  }
  chl_ocx {
    UInt32 _ChunkSizes 1, 720, 1440;
    Float32 _FillValue -999.0;
    String cell_methods "time: mean";
    String ioos_category "Unknown";
    String long_name "Chl Ocx";
    String units "mg m^-3";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    Float64 Easternmost_Easting 179.95835876464844;
    Float64 geospatial_lat_max 89.95833587646484;
    Float64 geospatial_lat_min -89.95833587646484;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.95835876464844;
    Float64 geospatial_lon_min -179.9583282470703;
    String geospatial_lon_units "degrees_east";
    String history 
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11/1105.avg.nc4 11/1106.avg.nc4 11/1107.avg.nc4 11/1108.avg.nc4 11/1109.avg.nc4 11/1110.avg.nc4 11/1111.avg.nc4 11/1112.avg.nc4 11/1113.avg.nc4 11/1114.avg.nc4 11/1115.avg.nc4 11/1116.avg.nc4 11/1117.avg.nc4 11/1118.avg.nc4 11/1119.avg.nc4 11/1120.avg.nc4 11/1121.avg.nc4 11/1122.avg.nc4 11/1123.avg.nc4 11/1124.avg.nc4 11/1125.avg.nc4 11/1126.avg.nc4 11/1127.avg.nc4 11/1128.avg.nc4 11/1129.avg.nc4 11/1130.avg.nc4 12/1201.avg.nc4 12/1202.avg.nc4 12/1203.avg.nc4 12/1204.avg.nc4 12/1205.avg.nc4 12/1206.avg.nc4 12/1207.avg.nc4 12/1208.avg.nc4 12/1209.avg.nc4 12/1210.avg.nc4 12/1211.avg.nc4 12/1212.avg.nc4 12/1213.avg.nc4 12/1214.avg.nc4 12/1215.avg.nc4 12/1216.avg.nc4 12/1217.avg.nc4 12/1218.avg.nc4 12/1219.avg.nc4 12/1220.avg.nc4 12/1221.avg.nc4 12/1222.avg.nc4 12/1223.avg.nc4 12/1224.avg.nc4 12/1225.avg.nc4 12/1226.avg.nc4 12/1227.avg.nc4 12/1228.avg.nc4 12/1229.avg.nc4 12/1230.avg.nc4 12/1231.avg.nc4 seawifs_generic_1day.nc4
Wed May  1 15:18:28 2024: ncra -v chl_ocx,kd_490,par,poc,Zeu_lee /home/1097/workdir/seawifs/clim_names/2000/01/20000101 /home/1097/workdir/seawifs/clim_names/2001/01/20010101 /home/1097/workdir/seawifs/clim_names/2002/01/20020101 /home/1097/workdir/seawifs/clim_names/2003/01/20030101 /home/1097/workdir/seawifs/clim_names/2004/01/20040101 /home/1097/workdir/seawifs/clim_names/2005/01/20050101 /home/1097/workdir/seawifs/clim_names/2006/01/20060101 /home/1097/workdir/seawifs/clim_names/2007/01/20070101 /home/1097/workdir/seawifs/clim_names/2009/01/20090101 01/0101.avg.nc4
2025-09-10T21:01:39Z (local files)
2025-09-10T21:01:39Z http://ocean-data.ceoe.udel.edu/griddap/seawifs_9km_1day_clim.das";
    String infoUrl "???";
    String institution "University of Delaware";
    String keywords "active, available, carbon, chl, chl_ocx, chlorophyll, color, data, downwelling, downwelling_photosynthetic_photon_radiance_in_sea_water, earth, Earth Science > Oceans > Ocean Optics > Photosynthetically Active Radiation, Earth Science > Oceans > Ocean Optics > Radiance, kd_490, lee, local, ocean, ocean color, oceans, ocx, optical, optical properties, optics, organic, par, particulate, photon, photosynthetic, photosynthetically, poc, properties, radiance, radiation, science, sea, seawater, source, time, water, zeu, Zeu_lee";
    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 4.7.6 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Float64 Northernmost_Northing 89.95833587646484;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.95833587646484;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Averages of SeaWIFS products at 9km 1-day climatology resolution";
    String title "Averages of SeaWIFS products at 9km 1-day climatology resolution";
    Float64 Westernmost_Easting -179.9583282470703;
  }
}

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.