01 // OVERVIEW
02 // DATA ORIGINS
03 // METHODOLOGY
04 // COMPLIANCE
Methodology & Scientific References
SiteNorm utilizes high-resolution climate modeling and verified historical records to provide defensible environmental metrics. Our methodology is built on standardized NOAA frameworks, optimized for site-specific precision.
Primary Data Sources
ACIS Feed
The Applied Climate Information System (ACIS) manages technical climate data, including daily observations and metadata from over 30,000 stations.
WETS Weighting Scheme
PARAMETER
Prior Month 1
Historical Climate Baseline
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02
Alignment with Environmental Workflows
Technical Criteria Definitions
- DRY: Monthly total below the 30% probability threshold.
- NORMAL: Monthly total between 30% and 70% probability.
- WET: Monthly total exceeding the 70% probability threshold.
Transparency & Reproducibility
All calculations are auditable. We provide the source station metadata and weighting factors used in every generated PDF report to ensure full transparency for agency review.
Disclaimer
While SiteNorm utilizes the best available scientific data, environmental conditions are subject to rapid change. Technical reports should be used as part of a comprehensive site assessment strategy.
Contact for Methodological Inquiries
For questions regarding our specific data weighting or API integration protocols, contact our lead analyst at sitenorm@gmail.com
Grid Point Extraction
We identify the exact site coordinates and pull historical precipitation and temperature data from the 800m PRISM climate grid.
Baseline Synchronization
The site data is compared against the 1991-2020 30-year normal period, aligning with current NOAA/NCDC standards.
WEIGHT
3.0
WETS Tables
Climate Normals sourced from NRCS WETS tables define the 10, 20, and 30 percent probability thresholds for wet and dry conditions.
INDEX
N/A
Data & Methodology Q&A
How does SiteNorm quantify precipitation probability?
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Our engine applies a weighted analysis of WETS table data and NRCS-verified normals to determine the specific probability thresholds for dry, normal, and wet conditions at your project coordinates.
What is the spatial resolution of the ACIS data feed?
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We utilize a high-resolution 800m grid derived from the Applied Climate Information System (ACIS), enabling precision environmental assessments that exceed standard regional airport-based reporting.
Is the SiteNorm methodology peer-reviewed?
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Our analytical framework is built upon standardized scientific references and historical climate baselines used by federal agencies, ensuring technical defensibility for environmental audits.
How does SiteNorm align with permitting workflows?
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Reports are structured to provide direct inputs for wetland delineations and hydrology modeling. Our outputs are formatted for immediate inclusion in project reports and regulatory agency filings.