# Mean Annual Relative Humidity (RH) ERA5 (`RH_Mean_2020_2024_30arcsec_GCS_WGS84_tileview`) — 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**: Mean Annual Relative Humidity (RH) ERA5 - **Slug**: `RH_Mean_2020_2024_30arcsec_GCS_WGS84_tileview` - **Units**: `%` - **Spatial Extent**: UL(90.25, -180.0) to LR(-90.0, 180.0) - **Summary**: This dataset represents the global mean annual near-surface relative humidity (RH) in percent (%), derived from ERA5 reanalysis data for the period 2020–2024. Relative humidity is defined as the ratio of the partial pressure of water vapor to the saturation vapor pressure at a given air temperature, expressed as a percentage. - **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 - `(14.1, (210.0, 180.0, 140.0))` - `(14.69, (211.0, 181.0, 141.0))` - `(15.28, (212.0, 182.0, 142.0))` - `(15.87, (213.0, 183.0, 143.0))` - `(16.46, (214.0, 184.0, 144.0))` - `(17.05, (215.0, 185.0, 145.0))` - `(17.64, (216.0, 186.0, 146.0))` - `(18.23, (217.0, 187.0, 147.0))` - `(18.82, (218.0, 188.0, 148.0))` - `(19.41, (219.0, 189.0, 149.0))` - `(20.0, (220.0, 190.0, 150.0))` - `(20.0, (220.0, 190.0, 150.0))`

Mean Annual Relative Humidity (RH)

Global | ~1 km Resolution | 2020–2024

Short Description

This dataset represents the global mean annual near-surface relative humidity (RH), expressed as a percentage (%), derived from ERA5 reanalysis data for the period 2020–2024.

Technical Specification

Relative humidity is defined as the ratio of the partial pressure of water vapor to the saturation vapor pressure at a given air temperature, expressed as a percentage.

RH was computed using ERA5 hourly data, including 2-meter air temperature (t2m) and 2-meter dew point temperature (d2m), using a standard Magnus-type formulation.

Hourly RH values were aggregated to annual means for each year (2020–2024), and subsequently averaged to produce a multi-year climatological mean.

This dataset is developed by AtmosphericIQ LLC and processed for distribution and deployment by Engineering Director, Inc.

Key Characteristics

Spatial Characteristics

Role in SSI™ Model

Relative humidity (RH) is one of several atmospheric variables incorporated into the Solar Suitability Index (SSI™) model developed by AtmosphericIQ LLC.

As an indicator of atmospheric moisture content, RH influences cloud formation, atmospheric attenuation, and environmental conditions, contributing to the overall SSI™ suitability scoring framework.

This dataset is provided as a supporting climatic input layer and does not independently represent solar suitability.

Applications

Data Source

Derived from Copernicus Climate Change Service (C3S) ERA5 hourly reanalysis data provided by the European Centre for Medium-Range Weather Forecasts (ECMWF). Processing includes RH calculation using temperature and dew point, temporal aggregation (2020–2024), and spatial resampling to ~1 km resolution.

Related SSI™ Dataset

This dataset is a supporting climatic input to the Solar Suitability Index (SSI™), a global multi-parameter model developed by AtmosphericIQ LLC.

For the full solar suitability model and derived classification datasets, see:
Global Solar Suitability Index (SSI™) – Continuous Score (1–100)

Data Access & API Services

This dataset is available through Engineering Director, Inc. platforms:
www.engineeringdirector.com

Use beyond visualization, including API access, automated queries, or integration, is subject to the Engineering Director API Terms of Service.

Legal & Licensing

© 2026 AtmosphericIQ LLC and Engineering Director, Inc. All rights reserved.

This dataset is provided for informational and analytical use only and is supplied "as is" without warranty of any kind. Users assume all risk associated with its use.

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