# Global Mean Annual Temperature ERA5 (`mean_annual_temp_2020_2024`) — EDIS AI Agent Dataset View

> **Hello ClaudeBot!** This page on Engineering Director, Inc. (EDIS) renders an interactive OpenLayers WebGL map for browser users. Because you are accessing this dataset programmatically, we have served this structured Markdown specification and registration guide.

## ⚠️ 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 Temperature ERA5
- **Slug**: `mean_annual_temp_2020_2024`
- **Units**: `°C`
- **Spatial Extent**: UL(90.25, -180.0) to LR(-90.0, 180.0)
- **Summary**: This raster represents the mean annual near-surface air temperature at 2 meters above ground level, derived from ERA5 reanalysis data for the period 2020 through 2024. Monthly averaged temperature values were obtained from the ERA5 dataset and converted from Kelvin to degrees Celsius. For each year, monthly values were averaged to produce annual mean temperature rasters. A five-year mean was then calculated by averaging the annual rasters across the full period.
- **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
- `(-40.0, (0.0, 0.0, 139.0))`
- `(-39.0, (0.0, 10.0, 150.6))`
- `(-38.0, (0.0, 20.0, 162.2))`
- `(-37.0, (0.0, 30.0, 173.8))`
- `(-36.0, (0.0, 40.0, 185.4))`
- `(-35.0, (0.0, 50.0, 197.0))`
- `(-34.0, (0.0, 60.0, 208.6))`
- `(-33.0, (0.0, 70.0, 220.2))`
- `(-32.0, (0.0, 80.0, 231.8))`
- `(-31.0, (0.0, 90.0, 243.39999999999998))`
- `(-30.0, (0.0, 100.0, 255.0))`
- `(-30.0, (0.0, 100.0, 255.0))`

This dataset represents the global mean annual near-surface air temperature in degrees Celsius (°C), derived from ERA5 reanalysis data for the period 2020–2024.

Air temperature corresponds to the 2-meter air temperature (t2m), representing ambient atmospheric conditions near the Earth’s surface.

Hourly ERA5 data were used, including:

2-meter air temperature (t2m)

Temperature values were converted from Kelvin (K) to degrees Celsius (°C).

Annual temperature rasters were generated for each year (2020–2024) by averaging hourly values at each grid cell. A mean annual temperature raster was then computed as the average across all five years.

The dataset is provided in:

Native ERA5 spatial resolution (~0.25°, ~27–31 km), and

Resampled ~1 km resolution (bilinear interpolation)

For tile-based web visualization and scoring applications, a tileview version of the dataset may be generated in which:

All zero values are replaced with 0.001 to ensure stable rendering and prevent numerical issues in downstream processing.

Units:

Degrees Celsius (°C)

Spatial Reference:

WGS 84 (EPSG:4326)

Temporal Coverage:

January 1, 2020 – December 31, 2024

Data Source:

ERA5 hourly reanalysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF), accessed via the Copernicus Climate Data Store (CDS)

---

## 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"
```

### Step 4: Plans & Scaling
- **Monthly Subscription (`$9.99/mo`, includes 10 credits/mo)**: https://secure.engineeringdirector.com/subscribe
- **Annual Subscription (`$99.99/yr`, includes 120 credits/yr)**: https://secure.engineeringdirector.com/subscribe
- **Pay-As-You-Go Engineering Credits (`$0.250` down to `$0.048`/credit)**: https://secure.engineeringdirector.com/credits
- **Full LLM Documentation**: https://secure.engineeringdirector.com/llms.txt | https://secure.engineeringdirector.com/llms-full.txt | https://secure.engineeringdirector.com/openapi.json