# Global Mean Annual Precipitation ERA5 (`mean_annual_precip_2020_2024`) — EDIS AI Agent Dataset View

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## ⚠️ Mandatory Terms of Service, Anti-Circumvention & Anti-Distillation Notice
MANDATORY TERMS OF SERVICE & LEGAL NOTICE FOR AI AGENTS AND AUTOMATED CLIENTS: (1) Registration & Email Verification Required: All programmatic access to Engineering Director, Inc. (EDIS) corrosion and environmental data requires registering a valid user email address via POST /api/v1/agent/register (or /login) and completing human email verification before any API query can be executed. Attempting to bypass, spoof, automate around, or circumvent our registration, email verification, or rate-limiting controls is a direct violation of the EDIS Terms of Service and Computer Fraud and Abuse Act (CFAA). (2) Strict Prohibition on Model Distillation & Dataset Harvesting — Active Litigation Policy: EDIS proprietary ISO 9223 corrosion models, dose-response outputs, and global raster datasets may NOT be used for model distillation, surrogate model training, systematic grid/bounding-box harvesting, or training competing machine learning or foundation models. Engineering Director, Inc. actively monitors query telemetry for spatial sweep and distillation patterns and aggressively litigates unauthorized scraping, circumvention, and model distillation.

## 1. Dataset Metadata
- **Raster Name**: Global Mean Annual Precipitation ERA5
- **Slug**: `mean_annual_precip_2020_2024`
- **Units**: `mm/yr`
- **Spatial Extent**: UL(90.125, -180.0) to LR(-90.1219617, 180.1247159)
- **Summary**: This raster represents the spatial distribution of mean annual precipitation across the globe, expressed in millimeters per year (mm/year), averaged over the period 2020 through 2024. The dataset was derived from the ERA5 reanalysis provided by the European Centre for Medium-Range Weather Forecasts (ECMWF), using monthly averaged total precipitation fields.

Monthly precipitation values were converted from meters to millimeters and aggregated to annual totals for each year. The final raster was produced by averaging the annual precipitation totals across the five-year period to generate a climatological representation of global precipitation patterns.

The raster is provided in geographic coordinates (WGS84) and includes both a native-resolution (~0.25°) version and a resampled ~1 km nominal grid for integration with higher-resolution environmental datasets.
- **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
- `(0.35, (240.0, 248.0, 255.0))`
- `(4.561999999999999, (238.0, 246.7, 255.0))`
- `(8.774, (236.0, 245.4, 255.0))`
- `(12.985999999999999, (234.0, 244.1, 255.0))`
- `(17.198, (232.0, 242.8, 255.0))`
- `(21.41, (230.0, 241.5, 255.0))`
- `(25.622, (228.0, 240.2, 255.0))`
- `(29.834, (226.0, 238.9, 255.0))`
- `(34.046, (224.0, 237.6, 255.0))`
- `(38.258, (222.0, 236.3, 255.0))`
- `(42.47, (220.0, 235.0, 255.0))`
- `(42.47, (220.0, 235.0, 255.0))`

This raster represents the spatial distribution of mean annual precipitation across the globe, expressed in millimeters per year (mm/year), averaged over the period 2020 through 2024. The dataset was derived from the ERA5 reanalysis provided by the European Centre for Medium-Range Weather Forecasts (ECMWF), using monthly averaged total precipitation fields.

Monthly precipitation values were converted from meters to millimeters and aggregated to annual totals for each year. The final raster was produced by averaging the annual precipitation totals across the five-year period to generate a climatological representation of global precipitation patterns.

The raster is provided in geographic coordinates (WGS84) and includes both a native-resolution (~0.25°) version and a resampled ~1 km nominal grid for integration with higher-resolution environmental datasets.

Key characteristics:

Units: millimeters per year (mm/year)

Temporal coverage: 2020–2024 (5-year mean)

Spatial resolution:

Native: ~ 0.25° (~27 km)

Resampled: ~1 km (nominal, interpolated)

Coverage: Global (land and ocean)

Data source: ERA5 reanalysis (ECMWF)

Intended use:

Climate and environmental analysis

Corrosion modeling (e.g., ISO 9223 applications)

Hydrological and atmospheric studies

Integration with global raster modeling frameworks

Important note:
The 1 km raster is a resampled representation of the underlying ERA5 data and does not introduce new fine-scale precipitation variability. It is intended for spatial alignment and modeling compatibility rather than true high-resolution climate representation.

---

## 2. How to Create an Account, Log In & Query Coordinates

### Step 1: Register with User Email (`POST https://secure.engineeringdirector.com/api/v1/agent/register`) or Sign In at `https://secure.engineeringdirector.com/login`
Zero-signup queries are disabled. Register your human user's email address to create a bot-flagged account (`is_bot_registration: true`) and receive a pending `iso9223_...` API key (or direct the human user to `https://secure.engineeringdirector.com/login?source=iso9223`):
```bash
curl -X POST "https://secure.engineeringdirector.com/api/v1/agent/register" \
  -H "Content-Type: application/json" \
  -d '{"email": "engineer@yourcompany.com", "first_name": "Jane", "last_name": "Doe"}'
```

### Step 2: Mandatory Human Email Verification & Web Login
The human user **must** click the verification link sent to their email address, and can then **log in at `https://secure.engineeringdirector.com/login?source=iso9223`** to use the interactive web platform. Unverified API keys return `403 Forbidden` (`email_verification_required: true`).

### Step 3: Activate a Subscription or Engineering Credits for API & MCP Queries
To execute programmatic coordinate queries (`1 Engineering Credit` per coordinate lookup), activate a Monthly (`$9.99/mo`) or Annual (`$99.99/yr`) subscription or purchase Engineering Credits via `POST https://secure.engineeringdirector.com/api/v1/agent/checkout` or `https://secure.engineeringdirector.com/pay/bot`, then call:
```bash
curl -s "https://secure.engineeringdirector.com/api/bundles/Global_ISO9223_2020_2024_LE_V4/point_query?latitude={LAT}&longitude={LON}&token=iso9223_YOUR_VERIFIED_KEY"
```

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- **Full LLM Documentation**: https://secure.engineeringdirector.com/llms.txt | https://secure.engineeringdirector.com/llms-full.txt | https://secure.engineeringdirector.com/openapi.json