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Dataset Title:  Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface)   RSS
Institution:  NOAA NGDC   (Dataset ID: etopo180)
Information:  Summary | License | Metadata | Background | Data Access Form
 
Graph Type: 
X Axis: 
Y Axis: 
Color: 
 
Dimension Ranges    Start    Stop
latitude (degrees_north)
   
   
longitude (degrees_east)
   
   
 
Graph Settings
Color Bar:    Continuity:    Scale:
      Min:    Max:    N Sections:
Draw the land mask:
 
(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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range -90.0, 90.0;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -180.0, 180.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  altitude {
    Int16 _FillValue 32767;
    Int16 actual_range -10898, 8271;
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "Topography";
    String coordsys "geographic";
    String ioos_category "Location";
    String long_name "Altitude";
    Int16 missing_value 32767;
    String positive "up";
    String standard_name "altitude";
    String units "m";
  }
  NC_GLOBAL {
    String acknowledgement "NOAA NGDC";
    String cdm_data_type "Grid";
    String contributor_name 
"GLOBE, SRTM30, Baltic Sea Bathymetry, Caspian Sea Bathymetry, Great Lakes 
Bathymetry, Gulf of California Bathymetry, IBCAO, JODC Bathymetry, 
Mediterranean Sea Bathymetry, U.S. Coastal Relief Model (CRM), Antarctica 
RAMP Topography, Antarctic Digital Database, GSHHS";
    String contributor_role "source data";
    String Conventions "COARDS, CF-1.4, Unidata Dataset Discovery v1.0";
    String creator_email "Barry.Eakins@noaa.gov ";
    String creator_name "NOAA NGDC";
    String creator_url "http://www.ngdc.noaa.gov/mgg/global/global.html";
    String data_source "NOAA NGDC ETOPO1";
    String drawLandMask "under";
    Float64 Easternmost_Easting 180.0;
    Float64 geospatial_lat_max 90.0;
    Float64 geospatial_lat_min -90.0;
    Float64 geospatial_lat_resolution 0.016666666666666666;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 180.0;
    Float64 geospatial_lon_min -180.0;
    Float64 geospatial_lon_resolution 0.016666666666666666;
    String geospatial_lon_units "degrees_east";
    String history 
"2011-03-14 Downloaded http://www.ngdc.noaa.gov/mgg/global/relief/ETOPO1/data/
ice_surface/grid_registered/binary/etopo1_ice_g_i2.zip
2017-10-19 (local file)
2017-10-19 http://cwcgom.aoml.noaa.gov/griddap/etopo180.das";
    String id "SampledFromETOPO1_ice_g_i2";
    String infoUrl "http://www.ngdc.noaa.gov/mgg/global/global.html";
    String institution "NOAA NGDC";
    String keywords "EARTH SCIENCE > Oceans > Bathymetry/Seafloor Topography > Bathymetry";
    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.";
    String Metadata_Conventions "COARDS, CF-1.4, Unidata Dataset Discovery v1.0";
    String naming_authority "gov.noaa.pfel.coastwatch";
    Float64 Northernmost_Northing 90.0;
    String project "NOAA NGDC ETOPO";
    String projection "geographic";
    String projection_type "mapped";
    String references 
"Amante, C. and B. W. Eakins, ETOPO1 1 Arc-Minute Global Relief Model: 
Procedures, Data Sources and Analysis. NOAA Technical Memorandum NESDIS NGDC-
24, 19 pp, March 2009.";
    String sourceUrl "(local file)";
    Float64 Southernmost_Northing -90.0;
    String standard_name_vocabulary "CF-12";
    String summary 
"ETOPO1 is a 1 arc-minute global relief model of Earth's surface that 
integrates land topography and ocean bathymetry. It was built from numerous 
global and regional data sets. This is the 'Ice Surface' version, with the 
top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-
84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital 
Elevation. This is the grid/node-registered version: the dataset's latitude 
and longitude values mark the centers of the cells.";
    String title 
"Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice 
Sheet Surface)";
    Float64 Westernmost_Easting -180.0;
  }
}

 

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 is a superset of the
OPeNDAP DAP hyperslab protocol.

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
   http://cwcgom.aoml.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
   http://cwcgom.aoml.noaa.gov/erddap/griddap/erdBAssta5day.htmlTable?sst[(2007-10-21T00:00:00)][0][(-75):100:(75)][(180):100:(360)]
Thus, the query is often a variable name (e.g., sst),
followed by a set of [] for each of the variable's dimensions
(for example, [time][altitude][latitude][longitude]),
with your desired (start):stride:(stop) values within each [].

For details, see the griddap Documentation.
 


ERDDAP, Version 1.30
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