General Bathymetric Chart of the Oceans (GEBCO) from 2024

GEBCO’s current gridded bathymetric data set, the GEBCO_2024 Grid, is a global terrain model for ocean and land, providing elevation data, in meters, on a 15 arc-second interval grid. It is accompanied by a Type Identifier (TID) Grid that gives information on the types of source data that the GEBCO_2024 Grid is based on. This release includes a version of the grid with under-ice topography/bathymetry information for Greenland and Antarctica. Original source: https://www.gebco.net/data_and_products/gridded_bathymetry_data/
Product Details
Visibility
Public
Created
3 Mar 2025
Last Updated
3 Apr 2025
README

GEBCO 2024

Data originall accessed from the GEBCO website.

GEBCO’s current gridded bathymetric data set, the GEBCO_2024 Grid, is a global terrain model for ocean and land, providing elevation data, in meters, on a 15 arc-second interval grid. It is accompanied by a Type Identifier (TID) Grid that gives information on the types of source data that the GEBCO_2024 Grid is based on.

This release includes a version of the grid with under-ice topography/bathymetry information for Greenland and Antarctica.

Find out information about terms of use and attribution here.

Access data

Stream data

The cloud optimised geotiff can be used directly in QGIS or other applications using this URL: https://data.source.coop/alexgleith/gebco-2024/GEBCO_2024.

Example to load as Xarray

1from odc.stac import load
2from pystac import Item
3
4# Bounding box around Tasmania
5bbox = [140.0, -45.0, 150.0, -35.0]
6
7# Get the item as a PySTAC Item
8item = Item.from_file(
9 "https://data.source.coop/alexgleith/gebco-2024/GEBCO_2024.stac-item.json"
10)
11
12# Load using odc.stac.load
13data = load(
14 [item],
15 bbox=bbox,
16 chunks={"latitude": 1024, "longitude": 1024},
17)
18
19# Plot an interactive map
20data.elevation.odc.explore(vmin=-3000, vmax=3000, cmap="terrain")
1from odc.stac import load
2from pystac import Item
3
4# Bounding box around Tasmania
5bbox = [140.0, -45.0, 150.0, -35.0]
6
7# Get the item as a PySTAC Item
8item = Item.from_file(
9 "https://data.source.coop/alexgleith/gebco-2024/GEBCO_2024.stac-item.json"
10)
11
12# Load using odc.stac.load
13data = load(
14 [item],
15 bbox=bbox,
16 chunks={"latitude": 1024, "longitude": 1024},
17)
18
19# Plot an interactive map
20data.elevation.odc.explore(vmin=-3000, vmax=3000, cmap="terrain")

Downloading

While the idea of cloud native data formats is to not download, you can download this data using this following URL: https://s3.us-west-2.amazonaws.com/us-west-2.opendata.source.coop/alexgleith/gebco-2024/GEBCO_2024.tif

Source Cooperative is a Radiant Earth project