Easier access to scientific data
| ?    
Brought to you by NOAA NMFS SWFSC ERD    

ERDDAP > griddap > Data Access Form ?

Dataset Title:  Bathymetry and Topography, NCEI ETOPO 2022, 60 Arc-Second, Global (Ice Surface) Subscribe RSS
Institution:  NOAA NCEI   (Dataset ID: ETOPO_2022_v1_60s)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 latitude (degrees_north) ?      10800    0.01666667 (even)
  < slider >
 longitude (degrees_east) ?      21600    0.01666667 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables) 
 z (meters) ?

File type: (more information)

(Documentation / Bypass this form) ?
(Please be patient. It may take a while to get the data.)


The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range -89.99166666666666, 89.99166666666667;
    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 0.008333333333325754, 359.9916666666667;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_max 360.0;
    Float64 valid_min 0.0;
  z {
    Float32 _FillValue -99999.0;
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "Topography";
    String ioos_category "Bathymetry";
    String long_name "z";
    String positive "up";
    String standard_name "height";
    String units "meters";
    String vert_crs_epsg "EPSG:3855";
    String vert_crs_name "EGM2008";
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "";
    String creator_name "NOAA NCEI";
    String creator_type "institution";
    String creator_url "";
    Float64 Easternmost_Easting 359.9916666666667;
    String GDAL "GDAL 3.3.2, released 2021/09/01";
    String GDAL_AREA_OR_POINT "Area";
    String GDAL_TIFFTAG_COPYRIGHT "DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce";
    Float64 GDAL_TIFFTAG_DATETIME 2.0220929123913e+13;
    String GDAL_TIFFTAG_IMAGEDESCRIPTION "Topography-Bathymetry; EGM2008 height";
    Float64 geospatial_lat_max 89.99166666666667;
    Float64 geospatial_lat_min -89.99166666666666;
    Float64 geospatial_lat_resolution 0.016666666666666666;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.9916666666667;
    Float64 geospatial_lon_min 0.008333333333325754;
    Float64 geospatial_lon_resolution 0.016666666666666666;
    String geospatial_lon_units "degrees_east";
    String grid_mapping_GeoTransform "-180 0.01666666666666667 0 90 0 -0.01666666666666667";
    Float64 grid_mapping_inverse_flattening 298.257223563;
    String grid_mapping_long_name "CRS definition";
    Float64 grid_mapping_longitude_of_prime_meridian 0.0;
    String grid_mapping_name "latitude_longitude";
    Float64 grid_mapping_semi_major_axis 6378137.0;
    String grid_mapping_spatial_ref "GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AXIS[\"Latitude\",NORTH],AXIS[\"Longitude\",EAST],AUTHORITY[\"EPSG\",\"4326\"]]";
    String history 
"Tue Oct 17 10:14:02 2023: ncatted -O -a sw_point_longitude,global,o,f,0.02083333
Tue Oct 17 10:14:02 2023: ncatted -O -a geospatial_lon_min,global,o,f,0.0
Tue Oct 17 10:14:02 2023: ncatted -O -a geospatial_lon_max,global,o,f,360.0
Tue Oct 17 10:14:02 2023: ncatted -O -a easternmost_longitude,global,o,f,360.0
Tue Oct 17 10:14:02 2023: ncatted -O -a westernmost_longitude,global,o,f,0.0
Tue Oct 17 10:14:02 2023: ncatted -O -a valid_max,lon,o,f,360.0
Tue Oct 17 10:14:02 2023: ncatted -O -a valid_min,lon,o,f,0.0
Tue Oct 17 10:13:33 2023: ncap2 -O -s where(lon<0) lon=lon+360
Tue Oct 17 10:13:02 2023: ncks -O --msa_usr_rdr -d lon,0.0,180.0 -d lon,-180.0,0.0
2024-04-23T11:15:09Z (local files)
    String infoUrl "";
    String institution "NOAA NCEI";
    String keywords "bathymetry, centers, data, environmental, etopo, global, height, information, local, national, ncei, nesdis, noaa, source, topography";
    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 NCO "netCDF Operators version 4.7.5 (Homepage =, Code =";
    Int32 nco_openmp_thread_number 1;
    Int32 node_offset 1;
    Float64 Northernmost_Northing 89.99166666666667;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.99166666666666;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "ETOPO 2022, a global relief model with 15 arc-second resolution seamlessly integrating topographic and bathymetric data. The ETOPO 2022 model uses a combination of numerous airborne lidar, satellite-derived topography, and shipborne bathymetry datasets from U.S. national and global sources. ETOPO 2022 uses bare-earth topographic data from NASAs ICESat-2 and other vetted data sources to independently validate both the input datasets and the final ETOPO 2022 model. ETOPO 2022 is available in \"Ice Surface\" (top of Antarctic and Greenland ice sheets) and \"Bedrock\" (base of the ice sheets) versions. ETOPO Global Topography and Bathymetry. NOAA National Centers for Environmental Information (NCEI) data from a local source.";
    String title "Bathymetry and Topography, NCEI ETOPO 2022, 60 Arc-Second, Global (Ice Surface)";
    Float64 Westernmost_Easting 0.008333333333325754;


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{?query}
For example,[(2015-06-09T09:00:00Z)][(-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.

ERDDAP, Version 2.22
Disclaimers | Privacy Policy | Contact