Make A Graph

Dataset Title:	Sea Surface Tempearture Long-term Mean, NOAA/NCEI Optimum Interpolation SST (OISST) AVHRR-only Analysis (V2.1) Daily (sst.day.mean.ltm.1971-2000), Global 0.25°, Daily 1971-2000
Institution:	NOAA/NCDC (Dataset ID: noaa_psl_e13b_3d70_1b62)
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 {
    String _CoordinateAxisType "Time";
    Float64 actual_range -6.21357696e+10, -6.210432e+10;
    String avg_period "0030-00-00 00:00:00";
    String axis "T";
    String climatology "climatology_bounds";
    String coordinate_defines "start";
    String delta_t "0000-00-01 00:00:00";
    String ioos_category "Time";
    String long_name "Time";
    Float64 ltm_range 62456.0, 73413.0;
    String prev_avg_period "0000-00-01 00:00:00";
    String standard_name "time";
    String statistic "Long Term Mean";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.875, 89.875;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 0.125, 359.875;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  sst {
    Float32 actual_range -1.8, 34.76;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String level_desc "Surface";
    String long_name "Daily Long Term Mean Sea Surface Temperature";
    Float32 missing_value -9.96921e+36;
    String parent_stat "Mean";
    Float32 precision 2.0;
    String standard_name "sea_surface_temperature";
    String statistic "Long Term Mean";
    String units "degree_C";
    Float32 valid_range -3.0, 45.0;
    String var_desc "Sea Surface Temperature";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String comment "Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 OI.v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: NCEP ice.";
    String Conventions "CF-1.10, COARDS, ACDD-1.3";
    String creator_email "ncdc.webmaster@noaa.gov";
    String creator_name "NOAA/NCDC";
    String creator_type "institution";
    String creator_url "https://www.ncdc.noaa.gov/";
    String dataset_title "NOAA Daily Optimum Interpolation Sea Surface Temperature";
    Float64 Easternmost_Easting 359.875;
    Float64 geospatial_lat_max 89.875;
    Float64 geospatial_lat_min -89.875;
    Float64 geospatial_lat_resolution 0.25;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.875;
    Float64 geospatial_lon_min 0.125;
    Float64 geospatial_lon_resolution 0.25;
    String geospatial_lon_units "degrees_east";
    String history 
"Thu Aug 24 13:49:55 2017: ncatted -O -a References,global,d,, sst.day.mean.2010.v2.nc
Version 1.0
2025-03-13T11:16:55Z https://psl.noaa.gov/thredds/dodsC/Datasets/noaa.oisst.v2.highres/sst.day.mean.ltm.1971-2000.nc
2025-03-13T11:16:55Z http://comet.nefsc.noaa.gov/griddap/noaa_psl_e13b_3d70_1b62.das";
    String infoUrl "https://www.esrl.noaa.gov/psd/data/gridded/data.noaa.oisst.v2.highres.html";
    String institution "NOAA/NCDC";
    String keywords "advanced, analysis, avhrr, blended, center, centers, climatic, daily, data, day, earth, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, environmental, high, high-resolution, interpolation, latitude, long, longitude, mean, national, ncdc, ncei, ncep, nesdis, noaa, ocean, oceans, only, optimum, prediction, radiometer, resolution, science, sea, sea_surface_temperature, sst, sst.day.mean.ltm.1971, sst.day.mean.ltm.1971-2000, surface, temperature, term, time, using, values, very, vhrr";
    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.";
    Float64 Northernmost_Northing 89.875;
    String references "https://www.esrl.noaa.gov/psd/data/gridded/data.noaa.oisst.v2.highres.html";
    String source "NOAA/NCDC  ftp://eclipse.ncdc.noaa.gov/pub/OI-daily-v2/";
    String sourceUrl "https://psl.noaa.gov/thredds/dodsC/Datasets/noaa.oisst.v2.highres/sst.day.mean.ltm.1971-2000.nc";
    Float64 Southernmost_Northing -89.875;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice.";
    String time_coverage_end "0001-12-31T00:00:00Z";
    String time_coverage_start "0001-01-01T00:00:00Z";
    String title "Sea Surface Tempearture Long-term Mean, NOAA/NCEI Optimum Interpolation SST (OISST) AVHRR-only Analysis (V2.1) Daily (sst.day.mean.ltm.1971-2000), Global 0.25°, Daily 1971-2000";
    Float64 Westernmost_Easting 0.125;
  }
}

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.