GEBCO’s gridded bathymetric data set, the GEBCO_2019 grid, is a global terrain model for ocean and land at 15 arc-second intervals. It is accompanied by a Type Identifier (TID) Grid that gives information on the types of source data that the GEBCO_2019 Grid is based.
The GEBCO_2019 Grid and TID Grid can be download as global files in netCDF format or a set of 8 tiles (each with an area of 90° x 90°), giving global coverage, in Esri ASCII raster and data GeoTiff formats. The data filea are included in a zip file along with the data set documentation.
(11 Gbytes, 12 Gbytes uncompressed)
(11.6 Gbytes, 14 Gbytes uncompressed)
|Esri ASCII raster
(17 Gbytes, 60 Gbytes uncompressed)
|GEBCO_2019 TID Grid||netCDF
98 Mbytes, 7.5 Gbytes uncompressed)
(96 Mbytes, 7 Gbytes uncompressed)
|Esri ASCII raster
(108 Mbytes, 9.5 Gbytes uncompressed)
Please note that the size of the uncompressed files.
Use our application to select and download data in netCDF, Esri ASCII raster and data GeoTiff formats.
If the data sets are used in a presentation or publication then we ask that you acknowledge the source.This should be of the form:
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.
Although every care is taken during the development of the GEBCO bathymetric grids, errors can occasionally occur, and can be reported to the Seabed 2030 Global Centre (). Known issues can be viewed on our errata pages.
The TID grid identifies the type of source data that the corresponding grid cells in the GEBCO Grid are based on. Further information about the TID codes can be found in the accompanying documentation.
GEBCO's global elevation models are generated by the assimilation of heterogeneous data types assuming all of them to be referred to mean sea level. However, in some shallow water areas, the grids include data from sources having a vertical datum other than mean sea level. We are working to understand how best to fully assimilate these data.