Make A Graph

Dataset Title:	Global Drifter Program - Climatology - Monthly Means
Institution:	NOAA/AOML & Univ. Miami (Dataset ID: drifter_monthlymeans)
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

ClimatologicalMonth (count)

specify just 1 value →

longitude (degrees_east)

latitude (degrees_north)

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 {
  ClimatologicalMonth {
    Int32 actual_range 0, 11;
    String long_name "Climatological Month with values ranging 0-11, 0-January, 1-February, 2-March, etc";
    String standard_name "time";
    String units "count";
  }
  longitude {
    UInt32 _ChunkSizes 1440;
    String _CoordinateAxisType "Lon";
    Float64 actual_range -179.875, 179.875;
    String axis "X";
    String coordinates "Lat";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_max 179.875;
    Float64 valid_min -179.875;
  }
  latitude {
    UInt32 _ChunkSizes 632;
    String _CoordinateAxisType "Lat";
    Float64 actual_range -72.875, 84.875;
    String axis "Y";
    String coordinates "Lat";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float64 valid_max 84.875;
    Float64 valid_min -72.875;
  }
  U {
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String long_name "Zonal velocity";
    String units "meters per second";
    Float64 valid_max 2.5308;
    Float64 valid_min -1.748;
  }
  V {
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String long_name "Meridional velocity";
    String units "meters per second";
    Float64 valid_max 2.1109;
    Float64 valid_min -1.9596;
  }
  SST {
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Sea surface temperature";
    String standard_name "sea_surface_temperature";
    String units "degree_C";
    Float64 valid_max 40.8471;
    Float64 valid_min -35.9601;
  }
  eU {
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String long_name "Standard error of zonal velocity";
    String units "meters per second";
    Float64 valid_max 3.4677;
    Float64 valid_min 0.0014787;
  }
  eV {
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String long_name "Standard error of meridional velocity";
    String units "meters per second";
    Float64 valid_max 2.8693;
    Float64 valid_min 0.0051301;
  }
  eSST {
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Standard error of sea surface temperature";
    String units "degree_C";
    Float64 valid_max 59.9411;
    Float64 valid_min 0.017175;
  }
  NC_GLOBAL {
    String author "Laurindo, Mariano, and Lumpkin (2017), Deep-Sea Res. I, doi:10.1016/j.dsr.2017.04.009";
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_email "aoml.webmaster@noaa.gov";
    String creator_name "NOAA/AOML & Univ. Miami";
    String creator_type "institution";
    String creator_url "https://www.aoml.noaa.gov/";
    String datadate "Climatology uses data through 28-Feb-2023";
    String date2 "File created 21-Aug-2023 09:38:21";
    String description "Monthly Means of Drifter Data";
    Float64 Easternmost_Easting 179.875;
    Float64 geospatial_lat_max 84.875;
    Float64 geospatial_lat_min -72.875;
    Float64 geospatial_lat_resolution 0.25;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.875;
    Float64 geospatial_lon_min -179.875;
    Float64 geospatial_lon_resolution 0.25;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-05-12T19:49:32Z (local files)
2024-05-12T19:49:32Z https://erddap.aoml.noaa.gov/gdp/griddap/drifter_monthlymeans.das";
    String infoUrl "https://www.aoml.noaa.gov/";
    String institution "NOAA/AOML & Univ. Miami";
    String keywords "aoml, atlantic, data, drifter, earth, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, error, eSST, european, laboratory, latitude, longitude, meridional, meteorological, miami, monthlymeans, noaa, ocean, oceanographic, oceans, science, sea, sea_surface_temperature, SST, standard, surface, temperature, time, union, university, velocity, zonal";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "Creative Commons Attribution 4.0 (https://creativecommons.org/licenses/by/4.0/) This study used data collected and made freely available by the NOAA Global Drifter Program (https://www.aoml.noaa.gov/phod/gdp/) accessed from https://erddap.aoml.noaa.gov/gdp/erddap/index.html";
    Float64 Northernmost_Northing 84.875;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -72.875;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Monthly Means of Drifter Data. Please note, this dataset does not include the variable N, or number of drifter-days per square degree. To retrieve the variable N, use the variable N in the Climatology - Annual Means dataset. NOAA/Atlantic Oceanographic & Meteorological Laboratory (AOML) & Univ. Miami data from a local source. Cite dataset using https://doi.org/10.1016/j.dsr.2017.04.009";
    String title "Global Drifter Program - Climatology - Monthly Means";
    String version "3.10";
    Float64 Westernmost_Easting -179.875;
  }
}

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.