# Climate Wetness Index (0-1) (`Climate_Wetness_Index_0_1_v14`) — EDIS AI Agent Dataset View

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## 1. Dataset Metadata
- **Raster Name**: Climate Wetness Index (0-1)
- **Slug**: `Climate_Wetness_Index_0_1_v14`
- **Units**: `Unitless (Normalized Index: 0–1)`
- **Spatial Extent**: UL(90.125, -180.0) to LR(-90.1219617, 180.1247159)
- **Summary**: A normalized global climate moisture index (0–1) representing the relative intensity and persistence of wet environmental conditions derived from ERA5 climate data.
- **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, (135.0, 206.0, 235.0))`
- `(0.007000000000000001, (136.0, 206.4, 234.5))`
- `(0.014000000000000002, (137.0, 206.8, 234.0))`
- `(0.021000000000000005, (138.0, 207.2, 233.5))`
- `(0.028000000000000004, (139.0, 207.6, 233.0))`
- `(0.035, (140.0, 208.0, 232.5))`
- `(0.04200000000000001, (141.0, 208.4, 232.0))`
- `(0.04900000000000001, (142.0, 208.8, 231.5))`
- `(0.05600000000000001, (143.0, 209.2, 231.0))`
- `(0.06300000000000001, (144.0, 209.6, 230.5))`
- `(0.07, (145.0, 210.0, 230.0))`
- `(0.07, (145.0, 210.0, 230.0))`

<h2>Technical Specifications</h2>

<h3>Climate Wetness Index (0–1)</h3>
<p><strong>Global | ~1 km Resolution | 2020–2024 | Version 14</strong></p>

<h4>Raster Name</h4>
<p>Climate Wetness Index</p>

<h4>File Name</h4>
<p>Climate_Wetness_Index_0_1_v14.tif</p>

<h4>Short Description</h4>
<p>
A normalized global climate moisture index (0–1) representing the relative intensity and persistence of wet environmental conditions derived from ERA5 climate data.
</p>

<h4>How to Read This Map</h4>
<ul>
  <li><strong>Values near 0</strong> indicate dry climates with limited moisture exposure</li>
  <li><strong>Values near 1</strong> indicate persistently wet climates with high moisture exposure</li>
  <li>Represents combined effects of precipitation, humidity, and rainfall frequency</li>
</ul>

<p><strong>Key Insight:</strong> This index captures climate-driven moisture influence independent of terrain and wetlands.</p>

<h4>Units of Measure</h4>
<p>Unitless (Normalized Index: 0–1)</p>

<h4>Technical Specification</h4>

<p>
The Climate Wetness Index is a derived raster representing the combined influence of key climate variables associated with environmental moisture exposure.
</p>

<p>
The index integrates three ERA5-derived climate variables:
</p>

<ul>
<li>Mean Annual Precipitation (2020–2024)</li>
<li>Time of Wetness (TOW)</li>
<li>Rainy Days (frequency of precipitation events)</li>
</ul>

<p>
Each variable was normalized to a common 0–1 scale and combined using weighted averaging:
</p>

<p><strong>Climate Wetness = (0.45 × TOW) + (0.35 × Rainy Days) + (0.20 × Precipitation)</strong></p>

<p>
The resulting raster represents a linear, normalized measure of climate-driven moisture exposure across global environments.
</p>

<h4>Model Role</h4>

<p>
This dataset serves as the climate component of the Pipeline Hydrologic Exposure Model (v14).
</p>

<p>
Within the full model, a nonlinear transformation (square root) is applied to this index to enhance persistent moisture signals; however, this dataset represents the pre-transformation normalized climate input.
</p>

<h4>Key Characteristics</h4>

<ul>
<li>Derived from globally consistent ERA5 climate data</li>
<li>Normalized to a 0–1 scale for integration with other model components</li>
<li>Captures both intensity and frequency of wet conditions</li>
<li>Independent of terrain and hydrologic structure</li>
<li>Suitable for visualization and standalone climate analysis</li>
</ul>

<h4>Spatial Characteristics</h4>

<ul>
<li><strong>Coordinate System:</strong> GCS_WGS_1984</li>
<li><strong>Spatial Resolution:</strong> ~1 km (resampled from ERA5 native resolution)</li>
<li><strong>Coverage:</strong> Global (±85.0511°)</li>
</ul>

<h4>Temporal Characteristics</h4>

<ul>
<li><strong>Time Period:</strong> 2020–2024</li>
<li><strong>Aggregation:</strong> Multi-year mean</li>
<li><strong>Purpose:</strong> Represent climatological average moisture conditions</li>
</ul>

<h4>Data Sources</h4>

<ul>
<li>ECMWF ERA5 Reanalysis Data (Copernicus Climate Data Store)</li>
<li>Derived processing by AtmosphericIQ LLC / Engineering Director, Inc.</li>
</ul>

<h4>Model Validation</h4>

<p>
Validation was performed through spatial consistency checks against known global climate patterns, including:
</p>

<ul>
<li>Tropical rainforest regions (high values)</li>
<li>Arid desert regions (low values)</li>
<li>Mid-latitude seasonal climates (moderate values)</li>
</ul>

<p>
The index demonstrates strong alignment with expected global moisture distribution patterns.
</p>

<h4>Confidence Statement</h4>

<p>
This dataset provides a globally consistent, climate-based representation of environmental moisture exposure and is intended for screening and comparative analysis, not site-specific prediction.
</p>

<h4>Scope and Intended Use</h4>

<ul>
<li>Climate moisture analysis</li>
<li>Hydrologic exposure modeling inputs</li>
<li>Environmental screening and mapping</li>
<li>Integration into corrosion and infrastructure models</li>
</ul>

<h4>Data Access & API Services</h4>

<p>
Available through Engineering Director platforms for interactive mapping, API integration, and bulk scoring workflows.
</p>

<h4>Related Datasets</h4>

<ul>
<li><a href="https://secure.engineeringdirector.com/public/map/Pipeline_Hydrologic_Exposure_Score_1_100_v14_final">Pipeline Hydrologic Exposure Score (1–100)</a></li>
<li><a href="https://secure.engineeringdirector.com/public/map/Pipeline_Hydrologic_Exposure_Index_1_7_v14_INT_websafe">Pipeline Hydrologic Exposure Index (1–7)</a></li>
</ul>

<h4>Legal & Licensing</h4>

<p>
© 2026 AtmosphericIQ LLC and Engineering Director, Inc. All rights reserved.  
This dataset is proprietary and provided “as is” without warranty.
</p>

<h4>Dataset Citation</h4>

<p>
Mazzella, J. (2026).  
<strong>Global Climate Wetness Index (0–1), Version 14 [Geospatial raster dataset].</strong>  
AtmosphericIQ LLC / Engineering Director, Inc.  
Derived from ERA5 climate data (2020–2024).
</p>


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