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Dataset Title:	GOES-16 ABI L3C SST (ABI G16-STAR-L3C-v2.70), GOES EAST Position, 0.02°, Hourly, 2017-present
Institution:	NOAA/NESDIS/STAR (Dataset ID: jplStarG16SSTv270)
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:
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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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.513296e+9, 1.6800228e+9;
    String axis "T";
    String calendar "Gregorian";
    String comment "Seconds since 1981-01-01 00:00:00";
    String ioos_category "Time";
    String long_name "reference time of sst file";
    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";
    Float32 actual_range -89.99, 89.99;
    String axis "Y";
    String comment "Latitudes for locating data";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 90.0;
    Float32 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -179.99, 179.99;
    String axis "X";
    String comment "Longitude for locating data";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 180.0;
    Float32 valid_min -180.0;
  }
  sea_surface_temperature {
    Float32 _FillValue -327.68;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String comment "SST obtained by regression with buoy measurements, sensitive to skin SST. Further information at (Petrenko et al., JGR, 2014; doi:10.1002/2013JD020637)";
    String grid_mapping "crs";
    String ioos_category "Temperature";
    String long_name "Sea Surface Sub-Skin Temperature";
    Float32 missing_value -327.67;
    String source "NOAA";
    String standard_name "sea_surface_subskin_temperature";
    String units "degree_C";
    Float32 valid_max 327.67;
    Float32 valid_min -327.67;
  }
  quality_level {
    Byte _FillValue -128;
    String _Unsigned "false";
    Float64 colorBarMaximum 6.0;
    Float64 colorBarMinimum 0.0;
    String comment "SST quality levels: 5 corresponds to \"clear-sky\" pixels and is recommended for operational applications and validation.";
    String flag_meanings "no_data bad_data not_used not_used not_used best_quality";
    Byte flag_values 1, 2, 3, 4, 5;
    String grid_mapping "crs";
    String ioos_category "Quality";
    String long_name "Quality Level of SST Pixel";
    Byte missing_value -127;
    Byte valid_max 5;
    Byte valid_min 0;
  }
  l2p_flags {
    Int16 _FillValue 32767;
    Float64 colorBarMaximum 0.0;
    Float64 colorBarMinimum -15000.0;
    String comment "L2P common flags in bits 1-6 and data provider flags (from ACSPO mask) in bits 9-16: bit01 (0=IR: 1=microwave); bit02 (0=ocean; 1=land); bit03 (0=no ice; 1=ice); bits04-07 (reserved,set to 0); bit08 (0=anti-solar; 1=solar); bit09 (0=radiance valid; 1=invalid); bit10 (0=night; 1=day); bit11 (0=ocean; 1=land); bit12 (0=good quality data; 1=degraded quality data due to \"twilight\" region); bit13 (0=no glint; 1=glint); bit14 (0=no snow/ice; 1=snow/ice); bits15-16 (00=clear; 01=probably clear; 10=cloudy; 11=clear-sky mask undefined)";
    Int16 flag_masks 1, 2, 4, 128, 256, 512, 1024, 2048, 4096, 8192, 16384, -32768, -16384;
    String flag_meanings "microwave land ice solar invalid day land twilight glint ice probably_clear cloudy mask_undefined";
    String grid_mapping "crs";
    String ioos_category "Quality";
    String long_name "L2P Flags";
    Int16 valid_max 32767;
    Int16 valid_min -32768;
  }
  or_number_of_pixels {
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String comment "Original number of pixels from the L2Ps contributing to the SST value, not weighted";
    String grid_mapping "crs";
    String ioos_category "Statistics";
    String long_name "Number of Pixels from the L2Ps Contributing to the SST Value";
    Int16 missing_value -32767;
    String units "1";
    Int16 valid_max 32767;
    Int16 valid_min 1;
  }
  dt_analysis {
    Float32 _FillValue -12.8;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum -5.0;
    String comment "Deviation from reference SST, i.e., dt_analysis = SST - reference SST";
    String grid_mapping "crs";
    String ioos_category "Statistics";
    String long_name "Deviation from SST Reference";
    Float32 missing_value -12.7;
    String source "CMC0.1deg-CMC-L4-GLOB-v2.0";
    String units "degree_C";
    Float32 valid_max 12.7;
    Float32 valid_min -12.7;
  }
  satellite_zenith_angle {
    Byte _FillValue -128;
    String _Unsigned "false";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String comment "satellite zenith angle";
    String grid_mapping "crs";
    String ioos_category "Unknown";
    String long_name "Satellite Zenith Angle";
    Byte missing_value -127;
    String units "degrees";
    Byte valid_max 90;
    Byte valid_min -90;
  }
  sses_bias {
    Float32 _FillValue -2.048;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String comment "Bias is derived against Piecewise Regression SST produced by local regressions with buoys. Subtracting sses_bias from sea_surface_temperature produces more accurate estimate of SST at the depth of buoys. Further information at (Petrenko et al., JTECH, 2016; doi:10.1175/JTECH-D-15-0166.1)";
    String grid_mapping "crs";
    String ioos_category "Statistics";
    String long_name "SSES Bias Estimate";
    Float32 missing_value -2.032;
    String units "degree_C";
    Float32 valid_max 2.032;
    Float32 valid_min -2.032;
  }
  sses_standard_deviation {
    Float32 _FillValue -0.28;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String comment "Standard deviation of sea_surface_temperature from SST measured by drifting buoys. Further information at (Petrenko et al., JTECH, 2016; doi:10.1175/JTECH-D-15-0166.1)";
    String grid_mapping "crs";
    String ioos_category "Statistics";
    String long_name "SSES Standard Deviation";
    Float32 missing_value -0.27;
    String units "degree_C";
    Float32 valid_max 2.27;
    Float32 valid_min -0.27;
  }
  wind_speed {
    Float32 _FillValue -19.2;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String comment "Typically represents surface winds (10 meters above the sea surface)";
    String grid_mapping "crs";
    String height "10 m";
    String ioos_category "Wind";
    String long_name "Wind Speed";
    Float32 missing_value -19.05;
    String source "Wind speed from NCEP GFS data";
    String standard_name "wind_speed";
    String units "m s-1";
    Float32 valid_max 19.05;
    Float32 valid_min -19.05;
  }
  sst_dtime {
    Float32 _FillValue -5.3687091e+8;
    Float64 colorBarMaximum 1000.0;
    Float64 colorBarMinimum -1000.0;
    String comment "time plus sst_dtime gives seconds since 1981-01-01 00:00:00 UTC";
    String grid_mapping "crs";
    String ioos_category "Temperature";
    String long_name "Time Difference from Reference Time";
    String units "seconds";
    Float32 valid_max 5.3687091e+8;
    Float32 valid_min -5.3687091e+8;
  }
  NC_GLOBAL {
    String acknowledgement "Please acknowledge the use of these data with the following statement: These data were provided by Group for High Resolution Sea Surface Temperature (GHRSST) and the National Oceanic and Atmospheric Administration (NOAA).";
    String cdm_data_type "Grid";
    Int32 col_count 5920;
    Int32 col_start 2290;
    String comment "SSTs are a weighted average of the SSTs of contributing pixels. WARNING: some applications are unable to properly handle signed byte values. If byte values > 127 are encountered, subtract 256 from this reported value.";
    String Conventions "CF-1.7, COARDS, ACDD-1.3";
    String creator_email "Alex.Ignatov@noaa.gov";
    String creator_name "Alex Ignatov";
    String creator_type "person";
    String creator_url "http://www.star.nesdis.noaa.gov";
    String date_created "2019-05-02T23:19:39Z";
    Float64 Easternmost_Easting 179.99;
    String gds_version_id "02.0";
    Float64 geospatial_lat_max 89.99;
    Float64 geospatial_lat_min -89.99;
    Float64 geospatial_lat_resolution 0.02;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.99;
    Float64 geospatial_lon_min -179.99;
    Float64 geospatial_lon_resolution 0.02;
    String geospatial_lon_units "degrees_east";
    String history 
"Created by the L2P-to-L3U conversion tool,  which was developed and provided by NOAA/NESDIS/STAR and CCNY. The version is 4.1.5
2023-03-29T00:56:15Z https://thredds.jpl.nasa.gov/thredds/dodsC/OceanTemperature/ABI_G16-STAR-L3C-v2.70.nc
2023-03-29T00:56:15Z http://coastwatch.pfeg.noaa.gov/griddap/jplStarG16SSTv270.das";
    String id "ABI_G16-STAR-L3C-v2.7";
    String infoUrl "https://podaac.jpl.nasa.gov/dataset/ABI_G16-STAR-L3C-v2.70";
    String institution "NOAA/NESDIS/STAR";
    String keywords "abi, angle, atmosphere, atmospheric, bias, contributing, data, deviation, difference, dt_analysis, earth, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, environmental, error, estimate, flags, g16, g16-star-l3c-v2.70, information, l2p, l2p_flags, l2ps, l3c, latitude, level, longitude, national, nesdis, noaa, number, ocean, oceans, or_number_of_pixels, pixel, pixels, quality, quality_level, reference, satellite, satellite_zenith_angle, science, sea, sea_surface_subskin_temperature, sea_surface_temperature, sensor, service, single, skin, speed, sses, sses_bias, sses_standard_deviation, sst, sst_dtime, standard, star, statistics, sub, sub-skin, subskin, surface, temperature, time, v2.70, value, wind, wind_speed, winds, zenith";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "GHRSST protocol describes data use as free and open";
    String metadata_link "<TBD>";
    String naming_authority "org.ghrsst";
    Float64 Northernmost_Northing 89.99;
    String platform "GOES-16";
    String processing_level "L3U";
    String product_version "L2P algorithm V2.70; L3U algorithm V4.1.5";
    String project "Group for High Resolution Sea Surface Temperature";
    String publisher_email "ghrsst-po@nceo.ac.uk";
    String publisher_name "The GHRSST Project Office";
    String publisher_type "group";
    String publisher_url "https://www.ghrsst.org";
    String references "Data convention: GHRSST Data Specification (GDS) v2.0. Algorithms: ACSPO-ABI (NOAA/NESDIS/STAR)";
    Int32 row_count 5920;
    Int32 row_start 1540;
    String sensor "ABI";
    String source "l2p_source : 20200119000000-STAR-L2P_GHRSST-SSTsubskin-ABI_G16-ACSPO_V2.70-v02.0-fv01.0.nc";
    String sourceUrl "https://thredds.jpl.nasa.gov/thredds/dodsC/OceanTemperature/ABI_G16-STAR-L3C-v2.70.nc";
    Float64 Southernmost_Northing -89.99;
    String spatial_resolution "0.02 deg";
    String sst_luts "LUT_ABI_G16_L2C_DEPTH_DAYNIGHT_V01.06_20190429.txt";
    String standard_name_vocabulary "CF Standard Name Table v70";
    Float64 Sub_Lon -75.0;
    String summary "Sea surface temperature retrievals produced by NOAA/NESDIS/STAR from the ABI sensor on the GOES-16 satellite. L2P algorithm V2.70; L3U algorithm V4.1.5. SSTs are a weighted average of the SSTs of contributing pixels. WARNING: some applications are unable to properly handle signed byte values. If byte values > 127 are encountered, subtract 256 from this reported value. Please acknowledge the use of these data with the following statement: These data were provided by Group for High Resolution Sea Surface Temperature (GHRSST) and the National Oceanic and Atmospheric Administration (NOAA).";
    String testOutOfDate "now-1day";
    String time_coverage_end "2023-03-28T17:00:00Z";
    String time_coverage_start "2017-12-15T00:00:00Z";
    String title "GOES-16 ABI L3C SST (ABI G16-STAR-L3C-v2.70), GOES EAST Position, 0.02°, Hourly, 2017-present";
    Float64 Westernmost_Easting -179.99;
  }
}

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.