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Dataset Title:  World Ocean Atlas 2018 : sea_water_temperature December 1955-2017 0.25 degree Subscribe RSS
Institution:  NCEI   (Dataset ID: WOA_TEMP_d48d_916b_3478)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
    << - >>
< <
depth (m) ?     specify just 1 value →
    << -
< <
latitude (degrees_north) ?
    +
    -
< slider >
longitude (degrees_east) ?
    +
    -
< slider >
 
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   Ascending: 
 
(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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 4.733856e+8, 2.15534304e+10;
    String axis "T";
    String calendar "standard";
    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";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 0.0, 500.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.875, 89.875;
    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 -179.875, 179.875;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  t_an {
    Float32 _FillValue 9.96921e+36;
    String cell_methods "area: mean depth: mean time: mean within years time: mean over years";
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String grid_mapping "crs";
    String ioos_category "Temperature";
    String long_name "Objectively analyzed mean fields for sea_water_temperature at standard depth levels.";
    String standard_name "sea_water_temperature";
    String units "degree_C";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String comment "global climatology as part of the World Ocean Atlas project.Modified at NOAA/AOML to keep only the upper 500m t_an values";
    String contributor_name "Ocean Climate Laboratory";
    String contributor_role "Calculation of climatologies";
    String Conventions "CF-1.6, ACDD-1.3, COARDS";
    String creator_email "NCEI.info@noaa.gov";
    String creator_institution "National Centers for Environmental Information";
    String creator_name "Ocean Climate Laboratory";
    String creator_type "group";
    String creator_url "http://www.ncei.noaa.gov";
    String date_created "2019-07-29";
    String date_modified "2019-07-29";
    Float64 Easternmost_Easting 179.875;
    Float64 geospatial_lat_max 89.875;
    Float64 geospatial_lat_min -89.875;
    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 
"2024-03-28T08:33:44Z (local files)
2024-03-28T08:33:44Z http://cwcgom.aoml.noaa.gov:8080/griddap/WOA_TEMP_d48d_916b_3478.das";
    String id "woa18_decav_t12_04.nc";
    String infoUrl "https://www.nodc.noaa.gov/OC5/woa18/";
    String institution "NCEI";
    String keywords "1955-2017, analyzed, atlas, centers, data, degree, depth, earth, Earth Science > Oceans > Ocean Temperature > Water Temperature, environmental, fields, information, levels, mean, national, ncei, nesdis, noaa, objectively, ocean, oceans, Oceans< Ocean Temperature > Water Temperature, science, sea, sea_water_temperature, seawater, standard, t_an, temperature, time, water, world";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "These data are openly available to the public. Please acknowledge the use of these data with the text given in the acknowledgment attribute.";
    String metadata_link "https://www.nodc.noaa.gov/OC5/woa18/";
    String naming_authority "gov.noaa.ncei";
    String nodc_template_version "NODC_NetCDF_Grid_Template_v2.0";
    Float64 Northernmost_Northing 89.875;
    String processing_level "processed";
    String project "World Ocean Atlas Project";
    String publisher_email "NCEI.info@noaa.gov";
    String publisher_institution "National Centers for Environmental Information";
    String publisher_name "National Centers for Environmental Information (NCEI)";
    String publisher_type "institution";
    String publisher_url "http://www.ncei.noaa.gov/";
    String references "Locarnini, R. A., A. V. Mishonov, O. K. Baranova, T. P. Boyer, M. M. Zweng, H. E. Garcia, J. R. Reagan, D. Seidov, K. W. Weathers, C. R. Paver, I. V. Smolyar, 2019: World Ocean Atlas 2018, Volume 1: Temperature.  A. V. Mishonov, Technical Ed., NOAA Atlas NESDIS 81";
    String sea_name "World-Wide Distribution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.875;
    String standard_name_vocabulary "CF Standard Name Table v49";
    String summary "Climatological mean temperature for the global ocean from in situ profile data";
    String time_coverage_duration "P63Y";
    String time_coverage_end "2653-01-01T00:00:00Z";
    String time_coverage_resolution "P01M";
    String time_coverage_start "1985-01-01T00:00:00Z";
    String title "World Ocean Atlas 2018 : sea_water_temperature December 1955-2017 0.25 degree";
    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.

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.


 
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