Make A Graph

Dataset Title:	MODIS Aqua ocean color and sst calculation by SeaDas; Regridded to Mercator lon/lat projection. Processed at the University of Delaware
Institution:	University of Delaware (Dataset ID: 1_day_stddev)
Information:	Summary \| License \| FGDC \| ISO 19115 \| 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 →

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:
(Documentation / Bypass this form

)

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 {
  time {
    UInt32 _ChunkSizes 1048576;
    String _CoordinateAxisType "Time";
    Float64 actual_range -2.2089024e+9, -2.1774528e+9;
    String axis "T";
    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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 16.55876921586688, 51.999999999992106;
    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 -99.0, -50.00000000000001;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  sst {
    UInt32 _ChunkSizes 1, 718, 798;
    Float32 _FillValue -999.0;
    String cell_methods "time: root_mean_square";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Sea Surface Temperature";
    Float32 missing_value -999.0;
    String standard_name "sea_surface_temperature";
    String units "degree_C";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    Float64 createAgency 0.0;
    String creator_email "moliver@udel.edu";
    String creator_name "Matthew Oliver";
    String creator_type "person";
    String creator_url "https://www.udel.edu/";
    Float64 Easternmost_Easting -50.00000000000001;
    Float64 geospatial_lat_max 51.999999999992106;
    Float64 geospatial_lat_min 16.55876921586688;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -50.00000000000001;
    Float64 geospatial_lon_min -99.0;
    Float64 geospatial_lon_resolution 0.009801960392078415;
    String geospatial_lon_units "degrees_east";
    String groundstation "University of Delaware, Newark, Center for Remote Sensing";
    String history 
"Fri Jan  7 09:15:01 2022: ncatted -O -a _FillValue,time,d,, std_dev.365.nc4
Thu Oct 10 09:24:46 2019: ncra -y rms var.nc4 std_dev.365.nc4
Thu Oct 10 09:24:08 2019: ncbo -v sst concat.nc4 weighted.nc4 -O var.nc4
Thu Oct 10 09:23:03 2019: ncrcat -v sst 2003/aqua.2003365.1231.235959.D.L3.modis.NAT.v09.1000m.nc4 2004/aqua.2004365.1230.235959.D.L3.modis.NAT.v09.1000m.nc4 2005/aqua.2005365.1231.235959.D.L3.modis.NAT.v09.1000m.nc4 2006/aqua.2006365.1231.235959.D.L3.modis.NAT.v09.1000m.nc4 2007/aqua.2007365.1231.235959.D.L3.modis.NAT.v09.1000m.nc4 2008/aqua.2008365.1230.235959.D.L3.modis.NAT.v09.1000m.nc4 2009/aqua.2009365.1231.235959.D.L3.modis.NAT.v09.1000m.nc4 2010/aqua.2010365.1231.235959.D.L3.modis.NAT.v09.1000m.nc4 2011/aqua.2011365.1231.235959.D.L3.modis.NAT.v09.1000m.nc4 2012/aqua.2012365.1230.235959.D.L3.modis.NAT.v09.1000m.nc4 2013/aqua.2013365.1231.235959.D.L3.modis.NAT.v09.1000m.nc4 2014/aqua.2014365.1231.235959.D.L3.modis.NAT.v09.1000m.nc4 2015/aqua.2015365.1231.235959.D.L3.modis.NAT.v09.1000m.nc4 2016/aqua.2016365.1230.235959.D.L3.modis.NAT.v09.1000m.nc4 2017/aqua.2017365.1231.235959.D.L3.modis.NAT.v09.1000m.nc4 -O concat.nc4
 
2025-10-31T06:07:09Z (local files)
2025-10-31T06:07:09Z http://basin.ceoe.udel.edu/griddap/1_day_stddev.das";
    String infoUrl "http://orb.ceoe.udel.edu/";
    Float64 inputCalibrationFile 0.0;
    Float64 inputMET1 0.0;
    Float64 inputOZONE1 0.0;
    String institution "University of Delaware";
    String keywords "aqua, calculation, color, data, delaware, earth, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, imaging, mercator, moderate, modis, ocean, oceans, processed, projection, regridded, resolution, science, sea, sea_surface_temperature, seadas, spectroradiometer, sst, surface, temperature, time, university";
    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 4.7.5 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Int32 nco_openmp_thread_number 1;
    Float64 Northernmost_Northing 51.999999999992106;
    String product_list "chl_oc3,a_412_qaa,a_443_qaa,a_469_qaa,a_488_qaa,a_531_qaa,a_547_qaa,a_555_qaa,a_645_qaa,a_667_qaa,a_678_qaa,a_748_qaa,a_869_qaa,bb_547_qaa,aph_443_qaa,adg_412_qaa,c_547_qaa,Rrs_412,Rrs_443,Rrs_469,Rrs_488,Rrs_531,Rrs_547,Rrs_555,Rrs_645,Rrs_667,Rrs_678,Rrs_748,Rrs_859,ndvi,evi,pic,poc,l2_flags,sst,red_ch,green_ch,blue_ch,M_WK,M_WK_G";
    Float64 software 0.0;
    String source "satellite observation NASA MODIS-Aqua instrument";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 16.55876921586688;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua ocean color and sst calculation by SeaDas; Regridded to Mercator lon/lat projection. Processed at the University of Delaware";
    String time_coverage_end "1901-01-01T00:00:00Z";
    String time_coverage_start "1900-01-02T00:00:00Z";
    String title "MODIS Aqua ocean color and sst calculation by SeaDas; Regridded to Mercator lon/lat projection. Processed at the University of Delaware";
    String url "http://orb.ceoe.udel.edu/";
    Float64 Westernmost_Easting -99.0;
  }
}

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.