Make A Graph

Dataset Title:	Daily estimated MUR SST v4.1 Frontal edges, x_gradient, y_gradient and gradient magnitude, US West Coast, 2002-present
Institution:	NOAA NMFS SWFSC ERD (Dataset ID: erdMurFront41USWest)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

altitude (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 1.0228896e+9, 1.7130528e+9;
    String axis "T";
    String calendar "Gregorian";
    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";
  }
  altitude {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "up";
    Float32 actual_range 0.0, 0.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Altitude";
    String positive "up";
    String standard_name "altitude";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 22.0, 51.0;
    String axis "Y";
    String grid_mapping "Equidistant Cylindrical";
    String ioos_category "Location";
    String long_name "Latitude";
    String reference_datum "geographical coordinates, WGS84 projection";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 51.0;
    Float32 valid_min 22.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -135.0, -105.0;
    String axis "X";
    String grid_mapping "Equidistant Cylindrical";
    String ioos_category "Location";
    String long_name "Longitude";
    String reference_datum "geographical coordinates, WGS84 projection";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max -105.0;
    Float32 valid_min -135.0;
  }
  magnitude_gradient {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String colorBarPalette "KT_amp";
    String grid_mapping "LatLon_Projection";
    String ioos_category "Temperature";
    String long_name "Magnitude of SST Gradient";
    Float32 missing_value NaN;
  }
  edges {
    Int16 _FillValue 32767;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String colorBarPalette "KT_amp";
    String grid_mapping "LatLon_Projection";
    String ioos_category "Temperature";
    String long_name "Frontal Edge";
    Int16 missing_value 32767;
  }
  x_gradient {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum -1.0;
    String colorBarPalette "KT_balance";
    String grid_mapping "LatLon_Projection";
    String ioos_category "Temperature";
    String long_name "East-West Gradient of SST";
    Float32 missing_value NaN;
  }
  y_gradient {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum -1.0;
    String colorBarPalette "KT_balance";
    String grid_mapping "LatLon_Projection";
    String ioos_category "Temperature";
    String long_name "North-South Gradient of SST";
    Float32 missing_value NaN;
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.9.1,hdf5=1.12.2";
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "erd.data@noaa.gov";
    String creator_name "NOAA NMFS SWFSC ERD";
    String creator_type "institution";
    String creator_url "https://www.pfeg.noaa.gov";
    Float64 Easternmost_Easting -105.0;
    Float64 geospatial_lat_max 51.0;
    Float64 geospatial_lat_min 22.0;
    Float64 geospatial_lat_resolution 0.01;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -105.0;
    Float64 geospatial_lon_min -135.0;
    Float64 geospatial_lon_resolution 0.01;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 0.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "up";
    String geospatial_vertical_units "m";
    String history 
"created from MUR SST file 20240414090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.ncusing python scikit-image canny algorithm, sigma = 10, thresholds of 0.8, 0.9 and OpenCV findContours function with minimum length 20
2024-04-16T22:11:50Z (local files)
2024-04-16T22:11:50Z http://coastwatch.pfeg.noaa.gov/griddap/erdMurFront41USWest.das";
    String infoUrl "https://www.pfeg.noaa.gov";
    String institution "NOAA NMFS SWFSC ERD";
    String keywords "altitude, daily, data, day, east, east-west, edge, edges, erd, estimated, frontal, gradient, high, magnitude, magnitude_gradient, multi, multi-scale, mur, noaa, north, north-south, resolution, scale, sea, south, sst, surface, temperature, time, ultra, ultra-high, west, x_gradient, y_gradient";
    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 51.0;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 22.0;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Front Edges estimated from daily Multi-scale Ultra-high Resolution (MUR) Sea Surface Temperature (SST) v4.1 files using the Python scikit-image canny algorithm with sigma = 10., and threshold values of .8 and .9, as well as the OpenCV algorithm findContours with a minimum length of 20. The SST x-gradient, y-gradient and gradient magnitude are also included";
    String testOutOfDate "now-4days";
    String time_coverage_end "2024-04-14T00:00:00Z";
    String time_coverage_start "2002-06-01T00:00:00Z";
    String title "Daily estimated MUR SST v4.1 Frontal edges, x_gradient, y_gradient and gradient magnitude, US West Coast, 2002-present";
    Float64 Westernmost_Easting -135.0;
  }
}

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.