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Dataset Title:  The GEBCO_2021 Grid, a continuous terrain model for oceans and land at 15 arc-
second intervals
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Institution:  GEBCO, BODC .   (Dataset ID: gebco2021)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
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:   
 
(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 {
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range -89.99791666666667, 89.99791666666667;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String sdn_P02_urn "SDN:P02::ALAT";
    String sdn_parameter_name "Latitude north";
    String sdn_parameter_urn "SDN:P01::ALATZZ01";
    String sdn_uom_name "Degrees north";
    String sdn_uom_urn "SDN:P06::DEGN";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -179.99791666666667, 179.99791666666667;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String sdn_P02_urn "SDN:P02::ALAT";
    String sdn_parameter_name "Longitude east";
    String sdn_parameter_urn "SDN:P01::ALONZZ01";
    String sdn_uom_name "Degrees east";
    String sdn_uom_urn "SDN:P06::DEGE";
    String standard_name "longitude";
    String units "degrees_east";
  }
  elevation {
    Int16 _FillValue 32767;
    String long_name "Elevation relative to sea level";
    String sdn_P02_urn "SDN:P02::ALAT";
    String sdn_parameter_name "Sea floor height (above mean sea level) {bathymetric height}";
    String sdn_parameter_urn "SDN:P01::ALATZZ01";
    String sdn_uom_name "Metres";
    String sdn_uom_urn "SDN:P06::ULAA";
    String standard_name "height_above_mean_sea_level";
    String units "m";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String comment "The data in the GEBCO_2021 Grid should not be used for navigation or any purpose relating to safety at sea.";
    String Conventions "CF-1.6, ACDD-1.3, COARDS";
    String creator_email "gdacc@seabed2030.org";
    String creator_name "GEBCO through the Nippon Foundation-GEBCO Seabed 2030 Project";
    String creator_type "group";
    String creator_url "https://www.gebco.net";
    String date_created "2021-07-01";
    Float64 Easternmost_Easting 179.99791666666667;
    Float64 geospatial_bounds -180.0, -90.0, 180.0, 90.0;
    String geospatial_bounds_crs "WGS84";
    String geospatial_bounds_vertical_crs "EPSG:5831";
    Float64 geospatial_lat_max 89.99791666666667;
    Float64 geospatial_lat_min -89.99791666666667;
    Float64 geospatial_lat_resolution 0.004166666666666667;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.99791666666667;
    Float64 geospatial_lon_min -179.99791666666667;
    Float64 geospatial_lon_resolution 0.004166666666666667;
    String geospatial_lon_units "degrees_east";
    String grid_mapping_epsg_code "EPSG:4326";
    Float64 grid_mapping_inverse_flattening 298.257223563;
    String grid_mapping_name "latitude_longitude";
    Float64 grid_mapping_semi_major_axis 6378137.0;
    String history 
"Information on the development of the data set and the source data sets included in the grid can be found in the data set documentation available from https://www.gebco.net
2022-01-24T13:54:52Z (local files)
2022-01-24T13:54:52Z http://www.ifremer.fr/griddap/gebco2021.das";
    String id "DOI: 10.5285/c6612cbe-50b3-0cff-e053-6c86abc09f8f";
    String identifier_product_doi "DOI: 10.5285/c6612cbe-50b3-0cff-e053-6c86abc09f8f";
    String infoUrl "https://www.gebco.net";
    String institution "GEBCO, BODC .";
    String keywords "above, arc, arc-second, arctic, bathymetry/seafloor topography, bodc, british, centre, continuous, data, digital elevation/digital terrain models, elevation, gebco, grid, height, height_above_mean_sea_level, intervals, land, level, mean, model, ocean, oceanographic, oceans, relative, sciences, sea, second, terrain";
    String license "The GEBCO Grid is placed in the public domain and may be used free of charge. Use of the GEBCO Grid indicates that the user accepts the conditions of use and disclaimer information: https://www.gebco.net/data_and_products/gridded_bathymetry_data/gebco_2019/grid_terms_of_use.html";
    String naming_authority "https://dx.doi.org";
    Float64 node_offset 1.0;
    Float64 Northernmost_Northing 89.99791666666667;
    String project "Nippon Foundation - GEBCO Seabed2030 Project";
    String references "DOI: 10.5285/c6612cbe-50b3-0cff-e053-6c86abc09f8f";
    String source "The GEBCO_2021 Grid is the latest global bathymetric product released by the General Bathymetric Chart of the Oceans (GEBCO) and has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and GEBCO. The Seabed 2030 Project aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor and make it available to all.";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.99791666666667;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The GEBCO_2021 Grid - a continuous terrain model for oceans and land at 15 arc-second intervals. The GEBCO_2021 Grid is a continuous, global terrain model for ocean and land with a spatial resolution of 15 arc seconds.The grid uses as a 'base-map' Version 2.2 of the SRTM15+ data set (Tozer et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. It is augmented with gridded bathymetric data sets developed as part of the Nippon Foundation-GEBCO Seabed 2030 Project.";
    String title "The GEBCO_2021 Grid, a continuous terrain model for oceans and land at 15 arc-second intervals";
    Float64 Westernmost_Easting -179.99791666666667;
  }
}

 

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/jplMURSST.htmlTable?analysed_sst[(2015-06-09T09:00:00Z)][(-89.9945):1000:(89.9945)][(-179.995):1000:(179.995)]
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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