# Mean Sulfate Deposition (`ISO9223_Sulfates_2020_2024_1km`) — EDIS AI Agent Dataset View

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## 1. Dataset Metadata
- **Raster Name**: Mean Sulfate Deposition
- **Slug**: `ISO9223_Sulfates_2020_2024_1km`
- **Units**: `mg/m²·d`
- **Spatial Extent**: UL(83.8644871, -180.0) to LR(-89.9992818, 180.002977)
- **Summary**: This dataset represents modeled global atmospheric sulfate deposition developed to support ISO 9223 atmospheric corrosivity modeling for the period 2020–2024.
- **Included in Flagship Map Package**: `Global_ISO9223_2020_2024_LE_V4` (`GET https://secure.engineeringdirector.com/api/bundles/Global_ISO9223_2020_2024_LE_V4/point_query`)

### Color Table & Value Breaks
- `(0.0, (74.0, 114.0, 74.0))`
- `(0.019, (74.0, 116.2, 74.0))`
- `(0.038, (74.0, 118.4, 74.0))`
- `(0.056999999999999995, (74.0, 120.6, 74.0))`
- `(0.076, (74.0, 122.8, 74.0))`
- `(0.095, (74.0, 125.0, 74.0))`
- `(0.11399999999999999, (74.0, 127.2, 74.0))`
- `(0.133, (74.0, 129.4, 74.0))`
- `(0.152, (74.0, 131.6, 74.0))`
- `(0.17099999999999999, (74.0, 133.8, 74.0))`
- `(0.19, (74.0, 136.0, 74.0))`
- `(0.19, (74.0, 136.0, 74.0))`

# 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](https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/)
- [NASA Giovanni System](https://giovanni.gsfc.nasa.gov/giovanni/)
- [NOAA Integrated Surface Database (ISD)](https://www.ncei.noaa.gov/products/land-based-station/integrated-surface-database)
- [National Atmospheric Deposition Program (NADP)](https://nadp.slh.wisc.edu/)
- 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](https://secure.engineeringdirector.com/public/map/ISO9223_Steel_2020_2024_1km)
- [ISO 9223 Zinc Corrosion Rate](https://secure.engineeringdirector.com/public/map/ISO9223_zinc_2020_2024_1km)
- [ISO 9223 Aluminum Corrosion Rate](https://secure.engineeringdirector.com/public/map/ISO9223_Aluminum_2020_2024_1km)
- [ISO 9223 Copper Corrosion Rate](https://secure.engineeringdirector.com/public/map/ISO9223_Copper_2020_2024_1km)

### Supporting Atmospheric Layers

- [Mean Chloride Deposition](https://secure.engineeringdirector.com/public/map/ISO9223_Chlorides_2020_2024_1km)
- [Mean Annual Temperature](https://secure.engineeringdirector.com/public/map/ISO9223_Temp_2020_2024_1km)
- [Mean Relative Humidity](https://secure.engineeringdirector.com/public/map/ISO9223_Humidity_2020_2024_1km)
- [Time of Wetness (TOW)](https://secure.engineeringdirector.com/public/map/tow_global_2020_2024_ERA5)

### Supporting Coastal & Terrain Layers

- [Distance to Coast](https://secure.engineeringdirector.com/public/map/Distance_to_Coast_2013_1km)
- [Bathymetry 2024 – Terrain Elevation](https://secure.engineeringdirector.com/public/map/Bathymetry_2024_1km)
- [WindRIX Terrain–Wind Exposure Index](https://secure.engineeringdirector.com/public/map/windrix_style_2020_2024_ERA5)
- [Wind Resultant Direction (0–360°)](https://secure.engineeringdirector.com/public/map/Wind_Degree_Direction_2020_2024_ERA5)
- [Wind Speed](https://secure.engineeringdirector.com/public/map/wind_speed_2020_2024_ERA5)

---

## 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 |

---

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```bash
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```bash
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