Bathymetry Terrain Elevation (land/ocean)

Interactive map with scientific data analysis, point lookup, and detailed environmental information

Map Information

This dataset represents a continuous global terrain surface combining both land elevation and ocean bathymetry derived from the GEBCO_2024 Grid.

Data Source:
AIQ
Units:
Elevation (m)
Coverage:
GLOBAL
Citation:
Mazzella, J. (2026). Bathymetry 2024 – Terrain Elevation Raster (1 km). AtmosphericIQ LLC / Engineering Director, Inc./GEBCO. (2024). The GEBCO_2024 Grid.
Data Legend
Values are displayed with colors from lowest (left) to highest (right)
Interactive Environmental Data Map
Click anywhere on the map to get data values for that location
Location Analysis
Technical Specifications

Bathymetry 2024 – Terrain Elevation (1 km)

Overview

This dataset represents a continuous global terrain surface combining both land elevation and ocean bathymetry derived from the GEBCO_2024 Grid.

The raster provides a globally consistent representation of:

  • Land topography
  • Coastal terrain
  • Continental shelves
  • Ocean bathymetry
  • Offshore source regions
  • Coastal transition zones

The dataset is used within ISO 9223 atmospheric corrosion workflows to support chloride deposition estimation, coastal exposure analysis, marine aerosol transport modeling, and environmental exposure assessment.

Units:

  • Meters (m)
  • Positive values represent elevation above mean sea level
  • Negative values represent bathymetric depth below mean sea level

Background

Terrain elevation and bathymetry play an important role in atmospheric corrosion modeling by influencing coastal exposure, marine aerosol transport, and inland chloride deposition behavior.

This dataset provides a continuous land–ocean terrain framework suitable for:

  • Chloride deposition modeling
  • Coastal exposure assessment
  • Marine aerosol transport analysis
  • Distance-to-coast refinement
  • Offshore-to-onshore transition modeling
  • Environmental exposure assessment

The raster was developed from the GEBCO_2024 global terrain model and harmonized to a 1 km analysis grid for integration with AtmosphericIQ and Engineering Director environmental datasets.


Modeling Methodology

The terrain framework is based on the GEBCO_2024 global land and ocean terrain model.

Primary source data include:

  • Global land topography
  • Ocean bathymetry
  • Continental shelf geometry
  • Coastal terrain features

The modeling framework incorporates:

Terrain Processing

  • Global terrain acquisition
  • Elevation harmonization
  • Land/ocean continuity preservation
  • Coastal transition conditioning

Spatial Integration

  • WGS 84 reprojection
  • 1 km spatial resampling
  • Environmental raster alignment
  • Global coverage standardization

Coastal Exposure Support

  • Offshore source region identification
  • Coastal geometry interpretation
  • Peninsula and island characterization
  • Marine aerosol transport pathways

Environmental Modeling Integration

  • Chloride deposition modeling
  • Distance-to-coast analytics
  • Wind exposure interpretation
  • Atmospheric exposure workflows

The resulting framework provides a globally consistent terrain surface suitable for environmental and atmospheric corrosion applications.


Interpretation Guidelines

Elevation / Depth (m) Interpretation
< -4000 Deep Ocean Basin
-4000 to -1000 Ocean Basin / Continental Slope
-1000 to -200 Continental Slope / Shelf Transition
-200 to 0 Continental Shelf / Nearshore Marine Zone
0 to 100 Low-Elevation Coastal Terrain
100 to 1000 Upland Terrain
>1000 Mountainous / High-Elevation Terrain

Terrain and bathymetry influence atmospheric exposure by affecting marine aerosol transport, coastal exposure gradients, and inland chloride deposition behavior.


Spatial Resolution

Property Value
Coverage Global
Published Resolution ~1 km
Native Resolution 15 Arc Seconds
Coordinate System WGS 84
EPSG Code 4326
Source Dataset GEBCO_2024 Grid

Data Sources

Primary environmental inputs include:

  • GEBCO 2024 Grid
  • Global land elevation datasets
  • Global bathymetric datasets
  • Coastal terrain products

Derived environmental layers supported by this dataset include:

  • Chloride Deposition
  • Distance to Coast
  • WindRIX Terrain–Wind Exposure Index
  • Wind Exposure Modeling
  • Atmospheric Corrosion Layers

Intended Applications

This dataset may be used for:

  • Atmospheric corrosion assessment
  • Chloride deposition modeling
  • Coastal exposure analysis
  • Marine aerosol transport studies
  • Environmental exposure assessment
  • GIS visualization
  • Terrain analysis
  • Environmental modeling
  • Enterprise API workflows

Related Datasets

Corrosion Layers

Supporting Atmospheric Layers

Supporting Coastal & Terrain Layers


Attribution

Joseph Mazzella
AtmosphericIQ LLC
Engineering Director, Inc.


Dataset Citation

Mazzella, J. (2026). Bathymetry 2024 – Terrain Elevation Raster (1 km). AtmosphericIQ LLC / Engineering Director, Inc.


Supporting Dataset Citations

GEBCO 2024 Grid

GEBCO Compilation Group. (2024). The GEBCO_2024 Grid — A Continuous Terrain Model of the Global Oceans and Land.
British Oceanographic Data Centre, National Oceanography Centre, NERC, United Kingdom.
https://doi.org/10.5285/1c44ce99-0a0d-5f4f-e063-7086abc0ea0f

GEBCO Technical Documentation

GEBCO. (2024). The GEBCO_2024 Grid.
https://www.gebco.net/data-products-gridded-bathymetry-data/gebco2024-grid

ISO 9223 Standard

ISO 9223:2012. Corrosion of metals and alloys — Corrosivity of atmospheres — Classification, determination and estimation.
https://www.iso.org/standard/53499.html


Version Information

Property Value
Dataset Name Bathymetry 2024 – Terrain Elevation
Dataset Version 1.0
Publication Year 2026
Author Joseph Mazzella
Organization AtmosphericIQ LLC / Engineering Director, Inc.
Coverage Global
Published Resolution ~1 km
Native Resolution 15 Arc Seconds
Units Meters (m)
Coordinate System WGS 84 (EPSG:4326)
Source Dataset GEBCO_2024 Grid
Data Type Continuous Raster
Content Land Elevation and Ocean Bathymetry

Data Distribution Analysis

These histograms show the distribution of pixel values across the entire raster dataset, helping you understand the range and frequency of different measurements.

Linear Scale Distribution
Shows the actual frequency distribution of values using a standard linear scale.
Logarithmic Scale Distribution
Shows the same data using a logarithmic scale, making it easier to see patterns in data with large value ranges.