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 Legend
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
- ISO 9223 Steel Corrosion Rate
- ISO 9223 Zinc Corrosion Rate
- ISO 9223 Aluminum Corrosion Rate
- ISO 9223 Copper Corrosion Rate
Supporting Atmospheric Layers
- Mean Chloride Deposition
- Mean Sulfate Deposition
- Mean Annual Temperature
- Mean Relative Humidity
- Time of Wetness (TOW)
Supporting Coastal & Terrain Layers
- Distance to Coast
- Bathymetry 2024 – Terrain Elevation
- WindRIX Terrain–Wind Exposure Index
- Wind Resultant Direction (0–360°)
- Wind Speed
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.