WeatherForensics

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WeatherForensics

Past Weather. Present Impact. AI-Ready Intelligence

WeatherForensics DaaS provides comprehensive historical weather data, including standard conditions and severe weather events, sourced from authoritative meteorological datasets.  

While most services focus on the "what," we focus on the "so what?" Our proprietary engine doesn't just return temperature and wind speed; it calculates the localized impact of historical weather events—ranging from localized tornadoes to regional hurricanes—at a specific coordinate and datetime.

Built for the future of automation, WeatherForensics is fully compatible with the Model Context Protocol (MCP). This allows Artificial Intelligence (AI) agents to instantly retrieve and reason over historical weather patterns, providing your LLM-driven applications with the ground-truth data they need for insurance claims, logistics forensics, or environmental research.

WeatherForensics also offers Representational State Transfer (REST) API endpoints. Seamlessly integrate our powerful API into your applications to enhance your data-driven decisions with weather data contextualized for your specific location and temporal requirements.

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Data Scope

Both the MCP and REST API Servers provide the following data:

  • Monthly Weather: Historical monthly weather summaries from National Oceanic and Atmospheric Administration (NOAA) NCEI (National Centers for Environmental Information) Data Service Application Programming Interface (API).
  • Daily Weather: Historical daily weather summaries from NOAA NCEI Data Service API.
  • Hourly Weather: Hourly weather observations from the NOAA NCEI Global Historical Climatology Network hourly (GHCNh) dataset and the NOAA NCEI Integrated Surface Database (ISD) dataset via the NOAA NCEI Data Service API.
  • Severe Weather: Mesocyclone (supercell thunderstorm), tornado vortex signatures, hail signatures, and storm structures from the NOAA Severe Weather Data Inventory (SWDI) API.
  • Tropical Cyclone: NOAA National Hurricane Center (NHC) HURDAT2 tropical cyclone impact analysis. Includes all of the following: hurricane, tropical storm, subtropical storm, tropical depression, subtropical depression, extratropical cyclone, low-pressure system, and non-tropical disturbance.

 

Target Applications

Insurance & Logistics

Verify historical claims by confirming localized severe weather events. Analyze routing and supply chain delays against historical atmospheric conditions.

Risk Assessment

Feed ground-truth data into predictive models to evaluate long-term environmental risks, hurricane effects, and hail damage probabilities.

AI Integration

Equip LLM agents with the factual context needed to autonomously reason over past weather patterns using the Model Context Protocol.

 

 

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