# Time of Wetness (TOW) DAYMET (`TOW_2020_2024_1km`) — 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**: Time of Wetness (TOW) DAYMET - **Slug**: `TOW_2020_2024_1km` - **Units**: `hours/year` - **Spatial Extent**: UL(83.7912118, -180.0) to LR(6.0712118, 180.0) - **Summary**: The Web GeoTIFF is a 30 arc-second (~1 km) EPSG:4326 raster representing annual Time of Wetness (hours/year) across North America for 2020–2024, analytically derived from NASA ORNL DAAC Daymet v4 daily climate data in accordance with ISO 9223 exposure criteria. - **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, (245.0, 245.0, 220.0))` - `(20.0, (244.0, 243.3, 217.6))` - `(40.0, (243.0, 241.6, 215.2))` - `(60.0, (242.0, 239.9, 212.8))` - `(80.0, (241.0, 238.2, 210.4))` - `(100.0, (240.0, 236.5, 208.0))` - `(120.0, (239.0, 234.8, 205.6))` - `(140.0, (238.0, 233.1, 203.2))` - `(160.0, (237.0, 231.4, 200.8))` - `(180.0, (236.0, 229.7, 198.4))` - `(200.0, (235.0, 228.0, 196.0))` - `(200.0, (235.0, 228.0, 196.0))` Technical Specification Time of Wetness (TOW) Raster Dataset North America | 1-km Resolution | 2020–2024 1. Product Description 1.1 The Time of Wetness (TOW) Raster Dataset provides spatially continuous annual wetness exposure metrics across North America. 1.2 TOW represents the total number of hours per year during which environmental conditions satisfy ISO 9223 atmospheric corrosion criteria. 1.3 The dataset includes annual rasters for 2020–2024 and a calculated 5-year mean raster. 2. Definition of Time of Wetness 2.1 Time of Wetness (TOW) is defined in accordance with ISO 9223 as the number of hours during which: 2.1.1 Air temperature > 0 °C 2.1.2 Relative humidity ≥ 80% 2.2 TOW represents periods during which metallic corrosion processes may actively occur. 3. Spatial Characteristics 3.1 Geographic Coverage 3.1.1 North America (United States, Canada, Mexico) 3.1.2 Domain consistent with Daymet v4 coverage 3.2 Spatial Resolution 3.2.1 Native: ~1 km (Daymet grid) 3.2.2 Web Product: 30 arc-seconds (~1 km class) 3.3 Grid Type 3.3.1 Continuous raster surface 3.3.2 NoData outside defined North America boundary 4. Temporal Characteristics 4.1 Annual Products 4.1.1 2020 4.1.2 2021 4.1.3 2022 4.1.4 2023 4.1.5 2024 4.2 Multi-Year Product 4.2.1 5-Year Mean (2020–2024) 4.3 Units 4.3.1 Hours per year 5. Source Data 5.1 Primary Climate Dataset 5.1.1 NASA ORNL DAAC – Daymet Version 4 R1 5.1.2 Daily Surface Weather Data on a 1-km Grid for North America 5.2 Variables Utilized 5.2.1 Daily minimum temperature (°C) 5.2.2 Daily maximum temperature (°C) 5.2.3 Vapor pressure (Pa) 5.2.4 Day length (seconds) 5.2.5 Snow water equivalent (mm) 6. Computational Methodology 6.1 Hourly conditions are analytically reconstructed from daily inputs. 6.2 Temperature is modeled using a sinusoidal daytime distribution between Tmin and Tmax. 6.3 Vapor pressure is treated as constant within each day. 6.4 The saturation vapor pressure equation is inverted analytically to determine the temperature threshold (Tcrit) corresponding to RH ≥ 80%. 6.5 Wet hours are calculated as: 6.5.1 Daylight duration where 0 °C < T ≤ Tcrit 6.5.2 Nighttime duration where Tmin satisfies 0 °C < Tmin ≤ Tcrit 6.6 Snow-covered pixels (SWE > 0) may be excluded from wet-hour accumulation. 6.7 Annual totals are derived by summing daily wet hours. 6.8 The 5-year mean raster represents the arithmetic mean of annual totals. 7. Output Specifications 7.1 Native Projection Products 7.1.1 Projection: NAD83 Lambert Conformal Conic (Daymet native) 7.1.2 Data Type: Annual: 16-bit unsigned integer 5-Year Mean: 32-bit floating point 7.1.3 Format: GeoTIFF 7.1.4 Units: Hours per year 7.2 Web-Ready Products 7.2.1 Projection: EPSG:4326 (WGS 84) 7.2.2 Resolution: 30 arc-seconds 7.2.3 Format: GeoTIFF 7.2.4 Compatible with web tile servers and cloud-hosted GIS platforms 8. Data Range 8.1 Theoretical Minimum: 0 hours per year 8.2 Theoretical Maximum: 8,760 hours per year (8,784 leap year) 8.3 Typical North America Range: 0 – 8,000 hours per year 9. Applications 9.1 ISO 9223 atmospheric corrosivity assessment 9.2 Infrastructure corrosion risk mapping 9.3 Coating specification support 9.4 Asset lifecycle modeling 9.5 Environmental exposure analytics 9.6 Integration into corrosion rate prediction models 10. Limitations 10.1 Based on daily climate data (not measured hourly observations). 10.2 Vapor pressure assumed constant within each day. 10.3 Nighttime temperature approximated as Tmin. 10.4 Does not include pollutant deposition (e.g., SO₂, chlorides). 10.5 For full ISO 9223 corrosivity classification, TOW should be combined with deposition and contamination metrics. 11. Version Information 11.1 Dataset Version: 1.0 11.2 Processing Year: 2026 11.3 Model Type: Analytical ISO 9223 Reconstruction 11.4 Climate Basis: Daymet v4 R1 --- ## 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