Make A Graph

Dataset Title:	Sea Surface Temperature, Multi-Sensor AVHRR and VIIRS Composite, U.S. East Coast 1km, Level 3, 7-Day Climatology 2007-2025
Institution:	NOAA NESDIS CoastWatch East Coast Node (Dataset ID: noaacwecnAVHRRVIIRSmultiSSTeastcoast7DayClimatol)
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

sevenDayPeriodOfYear (count)

specify just 1 value →

level (m)

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 {
  sevenDayPeriodOfYear {
    UInt32 _ChunkSizes 1;
    Float64 actual_range 1.0, 52.0;
    String comment 
"Consecutive 7-day periods of the year. For examp
le, a value of 1 represents days 1-7 of the year.";
    String ioos_category "Time";
    String long_name "7-Day Period of Year";
    String standard_name "time";
    String units "count";
  }
  level {
    UInt32 _ChunkSizes 1;
    Float64 actual_range 0.0, 0.0;
    String ioos_category "Location";
    String long_name "Altitude";
    String positive "up";
    String standard_name "altitude";
    String units "m";
  }
  latitude {
    UInt32 _ChunkSizes 3885;
    String _CoordinateAxisType "Lat";
    Float64 actual_range 22.107128596152897, 46.0659239654323;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    UInt32 _ChunkSizes 4074;
    String _CoordinateAxisType "Lon";
    Float64 actual_range -85.07597103632074, -59.95131255561142;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  sst {
    UInt32 _ChunkSizes 1, 1, 512, 512;
    String cell_methods "area: mean";
    Float64 colorBarMaximum 35.0;
    Float64 colorBarMinimum 0.0;
    String colorBarPalette "Rainbow";
    String colorBarScale "Linear";
    String grid_mapping "coord_ref";
    String ioos_category "Temperature";
    String long_name "sea_surface_subskin_temperature";
    Float32 missing_value NaN;
    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";
    String creator_email "ronald.vogel at noaa.gov";
    String creator_name "NOAA CoastWatch East Coast Node";
    String creator_type "institution";
    String creator_url "https://eastcoast.coastwatch.noaa.gov";
    Float64 Easternmost_Easting -59.95131255561142;
    Float64 geospatial_lat_max 46.0659239654323;
    Float64 geospatial_lat_min 22.107128596152897;
    Float64 geospatial_lat_resolution 0.006168587891163594;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -59.95131255561142;
    Float64 geospatial_lon_min -85.07597103632074;
    Float64 geospatial_lon_resolution 0.006168587891163593;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-07-24T19:30:04Z (local files)
2025-07-24T19:30:04Z https://coastwatch.noaa.gov/griddap/noaacwecnAVHRRVIIRSmultiSSTeastcoast7DayClimatol.das";
    String infoUrl "https://eastcoast.coastwatch.noaa.gov/cw_avhrr-viirs_sst.php";
    String institution "NOAA NESDIS CoastWatch East Coast Node";
    String instrument "Merged Advanced Very High Resolution Radiometer (AVHRR) and Visible Infrared Imaging Radiometer Suite (VIIRS)";
    String keywords "Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, Earth Science > Oceans > Ocean Temperature > Water Temperature, Earth Science > Spectral/Engineering > Infrared Wavelengths > Thermal Infrared, imager, imager/radiometer, infrared, L3, level 3, level-3, mapped, polar-orbiting, radiometer, remote sensing, seawater, sst";
    String keywords_vocabulary "NASA Global Change Master Directory (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, CoastWatch, NOAA, nor the US Government, nor any of their employees or contractors, make 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.";
    Float64 Northernmost_Northing 46.0659239654323;
    String satellite "NOAA polar orbiters: various; MetOp polar orbiters: various";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 22.107128596152897;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Climatological 7-day average sea surface temperature (SST) from 2007 to 2025, i.e. there are 52 7-day periods each representing a 2007-2025 mean SST for that period. The 18-year period for averaging begins May 21, 2007 and ends May 20, 2025. Data are merged from the AVHRR and VIIRS instruments aboard the NOAA and MetOp satellites. SST is generated by NOAA/NESDIS/STAR using the Advanced Clear-Sky Processor for Oceans (ACSPO) processing system. Only nighttime overpasses are used and composited into daily mean grids (~830 m), then the daily composite grids are averaged into gridded 7-day temperature averages. Finally, the 18-year climatological average for each 7-day period is averaged from the 7-day files. More info: https://eastcoast.coastwatch.noaa.gov/cw_avhrr-viirs_sst.php";
    String title "Sea Surface Temperature, Multi-Sensor AVHRR and VIIRS Composite, U.S. East Coast 1km, Level 3, 7-Day Climatology 2007-2025";
    Float64 Westernmost_Easting -85.07597103632074;
  }
}

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.