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Dataset Title:	Multi-scale Ultra-high Resolution (MUR) SST Daily Climatology 2003-2014, fv04.1, Global, 0.01°
Institution:	NOAA NMFS SWFSC ERD and NOAA NESDIS CoastWatch WCRN (Dataset ID: jplMURSST41clim)
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

dayOfYear (count)

specify just 1 value →

latitude (degrees_north)

longitude (degrees_east)

Graph Settings
Color Bar: Continuity: Scale:
Min: Max: N Sections:
Draw the land mask:
Y Axis Minimum: Maximum:

(Please be patient. It may take a while to get the data.)

Optional:
Then set the File Type: and

or view the URL:
(Documentation / Bypass this form

) (File Type information)

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 {
  dayOfYear {
    Int16 actual_range 1, 365;
    String ioos_category "Time";
    String long_name "Day Of Year";
    String units "count";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.99, 89.99;
    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 -179.99, 180.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  mean_sst {
    Float32 _FillValue -7.768;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String comment "climatological mean of MUR SST 2003-2014";
    String ioos_category "Temperature";
    String long_name "2003-2014 Climatological Mean Sea Surface Temperature";
    String standard_name "sea_surface_foundation_temperature";
    String units "degree_C";
    Float32 valid_max NaN;
    Float32 valid_min -7.767;
  }
  standard_deviation {
    Float32 _FillValue -327.68;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String comment "none";
    String ioos_category "Statistics";
    String long_name "standard deviation of mean_sst";
    String units "degree_C";
    Float32 valid_max NaN;
    Float32 valid_min 0.0;
  }
  NC_GLOBAL {
    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 and NOAA NESDIS CoastWatch WCRN";
    String creator_url "https://www.pfeg.noaa.gov/guest_book.html";
    Float64 Easternmost_Easting 180.0;
    Float64 geospatial_lat_max 89.99;
    Float64 geospatial_lat_min -89.99;
    Float64 geospatial_lat_resolution 0.01;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 180.0;
    Float64 geospatial_lon_min -179.99;
    Float64 geospatial_lon_resolution 0.01;
    String geospatial_lon_units "degrees_east";
    String history 
"This JPL MUR SST daily climatology v4.1 (2003-2014) is from 
ftp://mariana.jpl.nasa.gov/mur_sst/tmchin/seasonal/ .
2017-01-21T00:03:55Z (local files)
2017-01-21T00:03:55Z http://coastwatch.pfeg.noaa.gov/griddap/jplMURSST41clim.das";
    String infoUrl "https://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v4.1";
    String institution "NOAA NMFS SWFSC ERD and NOAA NESDIS CoastWatch WCRN";
    String keywords 
"2003-2014, climatological, climatology, data, deviation, foundation, ghrsst,
global, high, jet, laboratory, mean, mean_sst, multi, multi-scale, mur,
ocean, oceans,
Oceans > Ocean Temperature > Sea Surface Temperature,
propulsion, resolution, scale, sea, sea_surface_foundation_temperature, sst,
standard, standard_deviation, statistics, surface, temperature, ultra,
ultra-high";
    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 89.99;
    String platform "Aqua, DMSP, NOAA-POES, Suomi-NPP, Terra";
    String publisher_email "erd.data@noaa.gov";
    String publisher_name "NOAA NMFS SWFSC ERD and NOAA NESDIS CoastWatch WCRN";
    String publisher_url "https://www.pfeg.noaa.gov/guest_book.html";
    String sensor "AMSR-E, AVHRR, MODIS, SSM/I, VIIRS, in-situ";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.99;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary 
"This JPL MUR SST daily climatology v4.1 (2003-2014) is from 
ftp://mariana.jpl.nasa.gov/mur_sst/tmchin/seasonal/ and is based on the Jet
Propulsion Laboratory's (JPL) Multi-scale Ultra-high Resolution (MUR),
merged, multi-sensor L4 v4.1 Foundation SST analysis product (part of the
Group for High-Resolution Sea Surface Temperature (GHRSST) project).";
    String title 
"Multi-scale Ultra-high Resolution (MUR) SST Daily Climatology 2003-2014,
fv04.1, Global, 0.01°";
    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[(2015-06-09T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a variable name (e.g., analysed_sst),
followed by a set of [] for each of the variable's dimensions
(for example, [time][latitude][longitude]),
with your desired (start):stride:(stop) values within each [].

For details, see the griddap Documentation.

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