Mean Chloride Deposition (Cl)
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Map Information
This dataset represents modeled global atmospheric chloride deposition developed to support ISO 9223 atmospheric corrosivity modeling for the period 2020–2024.
Location Analysis
Technical Specifications
Mean Chloride Deposition (2020–2024)
Overview
This dataset represents modeled global atmospheric chloride deposition developed to support ISO 9223 atmospheric corrosivity modeling for the period 2020–2024.
Atmospheric chloride deposition is one of the most important environmental variables influencing:
- Atmospheric corrosion
- Marine aerosol transport
- Electrochemical corrosion processes
- Coating degradation
- Corrosion initiation and propagation
The raster represents estimated long-term ambient atmospheric chloride deposition behavior at approximately 1 km spatial resolution.
Units:
- Milligrams per square meter per day (mg/m²/day)
Background
Atmospheric chloride deposition is a primary environmental driver of atmospheric corrosion and is a core variable within the ISO 9223 atmospheric corrosivity framework.
Chloride deposition is primarily associated with:
- Marine aerosol transport
- Coastal salt spray
- Ocean-derived particulate matter
- Wind-driven sea salt movement
Higher chloride deposition environments generally result in increased atmospheric conductivity, electrolyte persistence, corrosion initiation, and corrosion propagation.
This dataset was developed to provide global chloride deposition estimates suitable for corrosion engineering, environmental modeling, and GIS-based exposure assessment.
Modeling Methodology
The chloride deposition framework integrates atmospheric reanalysis data, coastal transport analytics, terrain effects, and marine aerosol transport behavior.
Primary chloride inputs include:
- MERRA-2 Sea Salt Dry Deposition (SSDP)
- MERRA-2 Sea Salt Wet Deposition (SSWT)
The modeling framework incorporates:
Wind Transport
- Mean wind speed
- Resultant wind direction
- Marine aerosol transport dynamics
Coastal Exposure
- Distance-to-coast relationships
- Coastal amplification effects
- Inland chloride decay behavior
Terrain Effects
- Bathymetry and elevation
- Terrain shielding
- Terrain ruggedness (WindRIX)
Environmental Modifiers
- Temperature
- Humidity
- Marine persistence factors
- Peninsula amplification effects
The resulting framework was designed to improve representation of ambient atmospheric chloride deposition behavior within coastal, inland, and complex terrain environments.
Interpretation Guidelines
| Chloride Deposition (mg/m²/day) | Interpretation |
|---|---|
| 0–3 | Very Low Chloride Exposure |
| 3–10 | Inland / Low Marine Influence |
| 10–30 | Moderate Marine Influence |
| 30–100 | Coastal Marine Exposure |
| >100 | Severe Marine / Surf Zone Influence |
Higher chloride deposition values generally indicate increased atmospheric corrosion potential and greater marine aerosol influence.
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 Data Buoy Center (NDBC)
- Coastal and terrain analytics datasets
Derived environmental layers include:
- Wind Speed
- Wind Direction
- Distance to Coast
- Bathymetry / Elevation
- WindRIX Terrain–Wind Exposure Index
Intended Applications
This dataset may be used for:
- Atmospheric corrosion assessment
- ISO 9223 modeling
- Marine exposure analysis
- Coastal environmental 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 Chloride 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
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 Chloride 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.