Severe Weather Event Paths
Buy and sell severe weather event paths data. Hurricane tracks, tornado paths, and hail swath polygons with timestamps. Catastrophe modeling AI prices risk from historical storm path data.
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Find Me This Data →Overview
What Is Severe Weather Event Paths Data?
Severe weather event paths data captures the geographic trajectories and timestamps of hurricanes, tornadoes, hail swaths, and other extreme weather phenomena. This includes real-time radar, trajectory forecasts, and historical storm track polygons used by catastrophe modeling systems, insurance firms, and logistics operators. The data feeds prediction markets, risk algorithms, and emergency response systems that require precise geospatial and temporal information to estimate losses, allocate resources, and inform evacuation decisions. The market for weather event data and storm tracking tools is expanding as extreme weather frequency increases and organizations demand real-time alerts and predictive intelligence. Insurance underwriters, government agencies, and transportation operators rely on accurate path data to model catastrophic risk and optimize operational continuity across hurricane seasons, tornado corridors, and flood zones.
Market Data
$914 million
Storm Tracking Apps Market Size (2024)
Source: Global Market Insights
$1.53 billion
Projected Market Size (2034)
Source: Global Market Insights
5.6%
CAGR (2025–2034)
Source: Global Market Insights
$293.4 million
US Storm Tracking Market Revenue (2024)
Source: Global Market Insights
$75 million annually
Weather Disaster Prediction Market Size (Current)
Source: Weather Disaster Event Prediction Markets
Who Uses This Data
What AI models do with it.do with it.
Insurance & Risk Modeling
Insurers and catastrophe modeling firms use historical and real-time storm paths to estimate damages, price premiums, and manage portfolio risk. RMS and reinsurers integrate event path data into loss models and parametric insurance contracts.
Logistics & Supply Chain
Last-mile delivery operators and transportation companies use storm forecasts and path predictions to reroute fleets, minimize delays, and avoid weather disruptions before they occur.
Aviation & Marine Operations
Airlines and shipping companies depend on real-time radar and predictive path models to route aircraft and vessels safely, limiting passenger and cargo risk during severe weather events.
Government & Emergency Response
Local governments and FEMA use historical path data to inform evacuation plans, resource allocation, and resilient infrastructure planning for future storms.
What Can You Earn?
What it's worth.worth.
Weather Prediction Contracts (Retail)
$0.01–$0.05 tick size
Typical bid-ask spreads of 2–5% on active weather contracts; liquidity averages $500,000–$2 million per major event contract.
Institutional Hedging & OTC
Varies
Over-the-counter weather derivatives and reinsurance linkages tied to parametric triggers (e.g., losses >$500M).
Historical Path Data Licensing
Varies
Data vendors license historical hurricane tracks, tornado paths, and hail swaths to insurance and modeling firms; pricing depends on exclusivity and update frequency.
What Buyers Expect
What makes it valuable.valuable.
Real-Time Accuracy & Timeliness
Buyers require minimal latency between event updates and data delivery. Market-implied forecast accuracy for disaster probabilities averaged 72%, outperforming naive historical baselines.
Geospatial Precision
Event paths must include timestamp-indexed coordinates, polygon boundaries for hail swaths, and space-bound settlement (e.g., 50nm radius for wind speed contracts).
Data Validation & Oracle Standards
Paths must settle against trusted sources: NOAA National Hurricane Center, satellite data, NOAA National Data Buoy Center, and FEMA preliminary damage assessments. Third-party meteorologist review for disputes is expected.
High-Volume Processing
Hurricane Ian (2022) reached 50,000 trades with peak daily volume of $1.5 million. Systems must handle volume spikes and settlement delays during major events.
Companies Active Here
Who's buying.buying.
Integrate storm path data into catastrophe models and parametric insurance contracts; estimate future loss costs from historical event trajectories.
Offer weather disaster contracts with real-time settlement tied to NOAA and meteorological data; manage bid-ask spreads and liquidity for institutional and retail traders.
Use real-time radar and forecasts to reroute fleets, minimize delays, and avoid weather disruptions; integrate path predictions into delivery and route optimization systems.
Rely on historical path data for evacuation planning, resource allocation, and resilient infrastructure design. Benefit from centralized databases like NOAA's now-discontinued disaster tracker.
FAQ
Common questions.questions.
What data sources are considered authoritative for settlement?
NOAA National Hurricane Center reports, NOAA satellite data APIs, NOAA National Data Buoy Center, FEMA preliminary damage assessments, and Joint Typhoon Warning Center are standard oracles. Global Forecast System (GFS) and European Centre for Medium-Range Weather Forecasts (ECMWF) updates released 4× and 2× daily respectively trigger price adjustments in prediction markets.
How do buyers differentiate between real-time and historical storm path data?
Real-time data feeds prediction markets and emergency response systems with minimal latency; historical paths feed catastrophe models and risk backtesting. Market-implied forecast accuracy for disaster probabilities from prediction contracts averaged 72%, outperforming naive historical baselines by 15 percentage points, showing hybrid value.
What are typical contract types for severe weather paths?
Binary contracts (e.g., Hurricane Landfall in Florida: $0.01 tick, pays $1 if yes), continuous-index contracts (e.g., Wind Speed >150 mph: $0.05 tick, payout scales), range-bound contracts (e.g., Flood Damage in $400M–$600M band), and categorical contracts (e.g., Category 4+ Typhoon: $0.01 per category) are standard. Parametric triggers (losses >$500M) activate payouts within event date ±7 days.
Why did NOAA's discontinuation of its disaster database matter?
Insurance firms used the public database to estimate future costs, while local governments relied on it for building resilient infrastructure. Its discontinuation leaves a gap in centralized, authoritative historical storm path data access, creating opportunities for private vendors to fill the void.
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