Make A Graph

Dataset Title:	Sea Surface Temperature, Multi-scale Ultra-high Resolution (MUR JPL), Annually Composited 1km East Coast EEZ, 2003-2021
Institution:	Jet Propulsion Laboratory (Dataset ID: noaacwecnMURannual)
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 →

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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.0571364e+9, 1.6252164e+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";
  }
  level {
    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 {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 22.010000228881836, 47.0;
    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 -84.98999786376953, -59.9900016784668;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  sst {
    Float32 _FillValue NaN;
    String cell_methods "area: mean";
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Analysed SST with land and ice masks applied";
    Float32 missing_value NaN;
    String standard_name "surface_temperature";
    String units "degree_C";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_name "Jet Propulsion Laboratory";
    String cw_pass_type "night";
    Float64 cw_polygon_latitude 22.010000228881836, 22.010000228881836, 22.010000228881836, 22.010000228881836, 22.010000228881836, 28.257500171661377, 34.50500011444092, 40.75250005722046, 47.0, 47.0, 47.0, 47.0, 47.0, 40.75250005722046, 34.50500011444092, 28.257500171661377, 22.010000228881836;
    Float64 cw_polygon_longitude -84.98999786376953, -78.73999881744385, -72.48999977111816, -66.24000072479248, -59.9900016784668, -59.9900016784668, -59.9900016784668, -59.9900016784668, -59.9900016784668, -66.24000072479248, -72.48999977111816, -78.73999881744385, -84.98999786376953, -84.98999786376953, -84.98999786376953, -84.98999786376953, -84.98999786376953;
    String dcs_acquisitionEndDateTime "2020-12-31T09:00:00Z";
    String dcs_acquisitionStartDateTime "2020-01-01T09:00:00Z";
    String dcs_createDateTime "2021-11-15T17:56:36Z";
    String dcs_createInstitution "Jet Propulsion Laboratory";
    Float64 dcs_easternLongitude -59.9900016784668;
    String dcs_geodeticDatum "WGS 84";
    String dcs_mapProjection "Geographic";
    Float64 dcs_northernLatitude 47.0;
    String dcs_processingLevel "Level 3";
    String dcs_sensor "AMSR2 AVHRR in-situ MODIS";
    String dcs_sensorPlatform "Aqua Buoys/Ships GCOM-W MetOp-A MetOp-B Terra";
    Float64 dcs_southernLatitude 22.010000228881836;
    Float64 dcs_westernLongitude -84.98999786376953;
    Float64 Easternmost_Easting -59.9900016784668;
    Float64 geospatial_lat_max 47.0;
    Float64 geospatial_lat_min 22.010000228881836;
    Float64 geospatial_lat_resolution 0.00999999990841063;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -59.9900016784668;
    Float64 geospatial_lon_min -84.98999786376953;
    Float64 geospatial_lon_resolution 0.009999998474121094;
    String geospatial_lon_units "degrees_east";
    Float64 grid_mapping_inverse_flattening 298.257223653;
    Float64 grid_mapping_longitude_of_prime_meridian 0.0;
    String grid_mapping_name "latitude_longitude";
    Float64 grid_mapping_semi_major_axis 6378137.0;
    String history 
"[2023-01-31 14:03:31 UTC cwutils-3.7.1.1230 20220718_175207 michael.soracco] cwexport --format=netcdf4 JPLMUR_2021001_ANNUAL_L4ANALYSIS_SST_EC_1KM.hdf JPLMUR_2021001_ANNUAL_L4ANALYSIS_SST_EC_1KM.nc
2024-04-27T11:14:41Z (local files)
2024-04-27T11:14:41Z https://coastwatch.noaa.gov/griddap/noaacwecnMURannual.das";
    String infoUrl "https://eastcoast.coastwatch.noaa.gov/time_series_sst_regions.php";
    String institution "Jet Propulsion Laboratory";
    String keywords "analysed, applied, data, earth, Earth Science > Land Surface > Land Temperature > Land Surface Temperature, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, ice, jet, jpl, laboratory, land, level, local, masks, ocean, oceans, propulsion, science, sea, source, sst, surface, surface_temperature, temperature, time, with";
    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 47.0;
    String source "TERRA,_AQUA,_GCOMW,_METOPA,_METOPB,_BUOYS/SHIPS_/_MODIS,_AMSR2,_AVHRR,_INSITU TERRA,_AQUA,_GCOMW,_METOPA,_METOPB,_BUOYS/SHIPS TERRA,_AQUA,_METOPA,_METOPB,_BUOYS/SHIPS_/_MODIS,_AVHRR,_INSITU TERRA,_AQUA,_GCOMW,_METOPB,_BUOYS/SHIPS_/_MODIS,_AMSR2,_AVHRR,_INSITU";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 22.010000228881836;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Jet Propulsion Laboratory data from a local source.";
    String time_coverage_end "2021-07-02T09:00:00Z";
    String time_coverage_start "2003-07-02T09:00:00Z";
    String title "Sea Surface Temperature, Multi-scale Ultra-high Resolution (MUR JPL), Annually Composited 1km East Coast EEZ, 2003-2021";
    Float64 Westernmost_Easting -84.98999786376953;
  }
}

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.