Mean Sulfate Deposition
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Map Information
This dataset represents modeled global atmospheric sulfate deposition developed to support ISO 9223 atmospheric corrosivity modeling for the period 2020–2024.
Data Legend
Location Analysis
Technical Specifications
Mean Sulfate Deposition (2020–2024)
Overview
This dataset represents modeled global atmospheric sulfate deposition developed to support ISO 9223 atmospheric corrosivity modeling for the period 2020–2024.
Atmospheric sulfate deposition is one of the primary environmental variables influencing:
- Atmospheric corrosion
- Acid deposition chemistry
- Electrochemical corrosion processes
- Protective coating degradation
- Industrial atmospheric exposure
The raster represents estimated long-term ambient atmospheric sulfate deposition behavior at approximately 1 km spatial resolution.
Units:
- Milligrams per square meter per day (mg/m²/day)
Background
Atmospheric sulfate deposition is a core environmental driver within the ISO 9223 atmospheric corrosivity framework and is closely associated with sulfur-containing atmospheric pollutants.
Sulfate deposition is primarily associated with:
- Industrial emissions
- Fossil fuel combustion
- Urban atmospheric pollution
- Atmospheric sulfur transport
- Regional acid deposition processes
Higher sulfate deposition environments generally result in increased atmospheric acidity, enhanced electrolyte chemistry, corrosion acceleration, and coating degradation.
This dataset was developed to provide global sulfate deposition estimates suitable for corrosion engineering, environmental modeling, and GIS-based exposure assessment.
Modeling Methodology
The sulfate deposition framework integrates atmospheric chemistry products, climate reanalysis data, observational datasets, and regional interpolation methods.
Primary sulfate inputs include:
- MERRA-2 sulfate aerosol products
- Atmospheric sulfur transport variables
- Sulfate deposition products
- Atmospheric chemistry reanalysis datasets
The modeling framework incorporates:
Atmospheric Chemistry
- Sulfate aerosol transport
- Sulfur deposition behavior
- Regional atmospheric chemistry gradients
Climate Integration
- Temperature
- Humidity
- Atmospheric circulation patterns
- Long-term climatological averages
Spatial Modeling
- Kriged observational datasets
- Atmospheric interpolation methods
- Regional environmental gradients
Industrial Influence
- Urban atmospheric influence
- Industrial emissions patterns
- Regional acid deposition behavior
The resulting framework was designed to improve representation of ambient atmospheric sulfate deposition behavior within industrial, urban, rural, and remote environments.
Interpretation Guidelines
| Sulfate Deposition (mg/m²/day) | Interpretation |
|---|---|
| 0–2 | Very Low Sulfate Exposure |
| 2–10 | Low Atmospheric Sulfate |
| 10–25 | Moderate Sulfate Influence |
| 25–75 | Industrial / Urban Sulfate Exposure |
| >75 | High Sulfate Deposition Environment |
Higher sulfate deposition values generally indicate increased atmospheric acidity and elevated atmospheric corrosion potential.
Spatial Resolution
| Property | Value |
|---|---|
| Coverage | Global |
| Resolution | ~1 km |
| Coordinate System | WGS 84 |
| EPSG Code | 4326 |
| Temporal Coverage | 2020–2024 |
Data Sources
Primary environmental inputs include:
- NASA MERRA-2 Atmospheric Reanalysis
- NASA Giovanni System
- NOAA Integrated Surface Database (ISD)
- National Atmospheric Deposition Program (NADP)
- Atmospheric chemistry and environmental datasets
Derived environmental layers include:
- Temperature
- Relative Humidity
- Wind Speed
- Wind Direction
- Atmospheric Corrosion Layers
Intended Applications
This dataset may be used for:
- Atmospheric corrosion assessment
- ISO 9223 modeling
- Acid deposition analysis
- Industrial exposure assessment
- Corrosion engineering
- GIS visualization
- 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
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). Mean Sulfate Deposition Raster (2020–2024). AtmosphericIQ LLC / Engineering Director, Inc.
Supporting Dataset Citations
NASA MERRA-2
NASA Global Modeling and Assimilation Office (GMAO). MERRA-2 Atmospheric Reanalysis Dataset.
https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/
NASA Giovanni
NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). NASA Giovanni System.
https://giovanni.gsfc.nasa.gov/giovanni/
NOAA ISD
NOAA National Centers for Environmental Information (NCEI). Integrated Surface Database (ISD).
https://www.ncei.noaa.gov/products/land-based-station/integrated-surface-database
National Atmospheric Deposition Program
National Atmospheric Deposition Program (NADP). National Atmospheric Deposition Program.
https://nadp.slh.wisc.edu/
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 | Mean Sulfate Deposition |
| Dataset Version | 1.0 |
| Publication Year | 2026 |
| Author | Joseph Mazzella |
| Organization | AtmosphericIQ LLC / Engineering Director, Inc. |
| Temporal Coverage | 2020–2024 |
| Resolution | ~1 km |
| Units | mg/m²/day |
| Coordinate System | WGS 84 (EPSG:4326) |
| Coverage | Global |
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.