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AI Tools for Catastrophe Modelers
AI tools that help catastrophe modelers research natural hazard data, validate model outputs, monitor live events, analyze climate trends, and build stakeholder-ready cat risk reports.
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1
M5.4 · Honshu, Japan
Depth 42 km · Apr 2
2
M5.1 · Eastern Turkey
Depth 10 km · Apr 1
3
M5.4 · Ridgecrest, CA
Depth 8 km · Mar 30
4
M5.6 · Bali, Indonesia
Depth 120 km · Mar 29
Seismic event monitoring and research
Track real-time earthquake activity worldwide to assess portfolio exposure from live events and research historical seismicity for hazard model calibration. Monitor aftershock sequences and regional activity patterns.
Pull all earthquake events magnitude 4.0 or higher in Japan, Turkey, and the western United States over the past 30 days. Include magnitude, depth, and distance from major urban centers.
Past 30 days: 89 events M4.0+. Japan: 42 events (M4.0–5.8), 3 within 50km of Tokyo. Turkey: 18 events (M4.0–5.3), cluster near 2023 rupture zone. Western US: 29 events (M4.0–5.4), 4 in Bay Area. Notable: M5.4 near Ridgecrest, CA (March 12, depth 8km) — within modeled NW rupture corridor.
ToolRouter search_events
1
M5.2 · Near Tokyo
Depth 38 km · within 50km of city
2
M5.1 · Malatya, Turkey
Depth 12 km · near 2023 rupture zone
3
M5.4 · Ridgecrest, CA
Depth 8 km · NW rupture corridor
4
M4.3 · East Bay, CA
Depth 14 km · Bay Area cluster
Hurricane and tropical cyclone research
Research historical hurricane tracks, storm surge heights, intensity patterns, and climate drivers. Compile event sets and validate vendor model frequency assumptions against observed data.
Research the relationship between Atlantic SST anomalies and rapid intensification events (30+ knot 24-hour RI) in Gulf hurricanes from 2010–2025. How should this affect model RI assumptions?
Analysis: RI events in Gulf 2010–2025 show 67% correlation with SST anomaly > +0.8°C. 2020–2025 period: 23 Gulf RI events vs 14 for 2010–2015. Key study: NOAA/AOML 2024 found RI probability doubles above +1.0°C SST anomaly. Current GCM projections suggest 18% increase in RI events by 2050. Model assumptions may need RI frequency upward revision.
ToolRouter research
RI Events per Period
ToolRouter search_papers
RI Correlation
67% of Gulf RI events with SST anomaly >+0.8°C (2010–2025)
NOAA/AOML 2024
RI probability doubles above +1.0°C SST anomaly
GCM Projection
+18% RI events by 2050 (mid-range scenario)
Flood and storm surge data research
Research FEMA flood zone data, historical flood levels, storm surge observations, and hydrological studies. Validate or challenge cat model flood component assumptions with observed gauge data.
Pull tide gauge data and storm surge observations for Tampa Bay, FL. I need historical surge levels from major hurricane events to validate our inland flood model.
Tampa Bay surge data retrieved: NOAA gauge at St. Petersburg (8726520). Historical surge: Hurricane Donna 1960 (7.2 ft), Elena 1985 (4.0 ft). Model comparison: current RMS surge model shows 8.5 ft at 100-yr RP. NOAA post-Ian surge study (2022) suggests Tampa Bay is underpredicted by 15–20% in legacy models due to bay geometry.
ToolRouter get_tides
Surge Height (ft)
Wildfire risk and terrain research
Research wildfire perimeter data, fuel moisture conditions, WUI exposure, and post-fire debris flow risk. Assess model accuracy against observed loss events.
Research the 2025 Appalachian wildfire season. How does the observed fire perimeter and structure loss data compare to our vendor model's pre-season probabilistic loss estimates for that region?
Appalachian 2025: 340,000 acres burned across TN/NC/VA. Insured structure losses: 2,847 homes, estimated $1.8B. Comparison to model: RMS and AIR both underpredicted by 35–45% — models did not capture the extended drought period that lowered fuel moisture below historical minimums. Recommend recalibration of Appalachian fire weather assumption.
ToolRouter research
Acres Burned
340,000 acres across TN/NC/VA
Structure Losses
2,847 homes — estimated $1.8B insured
RMS/AIR vs Observed
Both underpredicted by 35–45%
Root Cause
Extended drought drove fuel moisture below historical minimums
Action Required
Recalibrate Appalachian fire weather assumptions
Climate trend analysis for model updating
Research peer-reviewed climate science to understand how changing climate conditions should inform model frequency and severity updates. Build the scientific basis for model assumption changes.
Find peer-reviewed studies from 2022–2025 on how climate change is affecting North Atlantic hurricane frequency and intensity. I need citations for a board-level cat model update presentation.
Found 18 relevant papers. Consensus: frequency broadly stable or slight decrease in total storm count, but significant increase in Category 4–5 storms (+25–40% by 2100 per IPCC AR6). Rapid intensification frequency increasing now. Key citations: Knutson et al. (2023) BAMS, Elsner et al. (2024) Nature Climate Change. 12 additional papers compiled with DOI links.
ToolRouter search_papers
Papers Found
18 relevant papers 2022–2025
Frequency
Total storm count broadly stable or slight decrease
Intensity Shift
Category 4–5 storms +25–40% by 2100 (IPCC AR6)
RI Now
Rapid intensification frequency increasing in current period
Key Citations
Knutson et al. 2023 BAMS; Elsner et al. 2024 Nature Climate Change
Catastrophe event response and loss tracking
When a catastrophe event occurs, rapidly compile hazard data, affected exposure maps, and early industry loss estimates to support real-time portfolio impact assessment.
A major earthquake struck Izmir, Turkey 2 hours ago. Compile initial event parameters, affected population, insured exposure context, and early industry loss commentary.
M6.9, depth 10km, 15km offshore Izmir — high tsunamigenic potential. Population within 50km: 4.2M. Izmir is Turkey's third largest city with significant commercial and residential insured exposure. Industry insured loss context: 2020 M7.0 Izmir generated ~$200M insured loss (low penetration). Catastrophe modelers suggest 2026 event could be 40–60% higher given increased urbanization. Industry loss monitors being tracked.
ToolRouter search_events
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Epicenter — M6.9
Depth 10 km · 15 km offshore Izmir
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Izmir City
Pop. 4.2M within 50km · major commercial exposure
ToolRouter search_news
Event Parameters
M6.9, depth 10 km, 15 km offshore — tsunamigenic potential
Population Exposed
4.2M within 50km — third largest Turkish city
2020 M7.0 Benchmark
~$200M insured loss (low penetration rate)
Modeler Estimate
2026 event 40–60% higher due to increased urbanization
Industry Monitors
PERILS and AIR tracking — early estimates pending
Ready-to-use prompts
Real-time earthquake feed
Pull all earthquakes magnitude 5.0 or higher worldwide from the past 24 hours. Include magnitude, depth, location coordinates, and distance to nearest major city.
Hurricane historical data
Research historical Atlantic hurricane tracks and intensities for storms that made landfall along the Florida Gulf Coast from 1990–2025. Include peak intensity and storm surge heights.
Storm surge gauge data
Pull historical storm surge and tide gauge data for Galveston, TX from major Gulf hurricanes. Include the observed surge levels from Harvey (2017), Ike (2008), and Rita (2005).
Wildfire satellite imagery
Get current and historical satellite imagery of the Sonoma and Napa County, CA wildland-urban interface. Show current vegetation density and compare to pre-2017 fire conditions.
Climate science literature review
Find peer-reviewed studies from 2020–2025 on projected changes in severe convective storm (tornado and hail) frequency and intensity in the US Midwest due to climate change.
Secondary peril loss research
Research insured losses from secondary perils (wildfire, flood, severe convective storms) in the US from 2020–2025. How have these compared to primary peril losses and what does this mean for cat model assumptions?
Flood zone mapping research
Research the FEMA Risk Rating 2.0 methodology changes and how they differ from the previous flood zone mapping approach. Which coastal states saw the biggest premium increases?
Post-event loss monitoring
Research early industry loss estimates and damage assessments for the March 2026 Pacific Northwest flooding event. What are the current insured loss projections?
Tools to power your best work
Academic ResearchSearch papers, authors, citations
Earthquake MonitorLive & historical earthquake data
Deep ResearchAI research reports with citations
Ocean & TidesTides, waves, and ocean forecasts
Air QualityAQI, pollen & health guidance
NewsSearch and track news worldwide
GeopoliticsGlobal conflict, defense news & sentiment analysis
Satellite ImagerySatellite photos of any location on Earth
165+ tools.
One conversation.
Everything catastrophe modelers need from AI, connected to the assistant you already use. No extra apps, no switching tabs.
Live catastrophe event response
When a major cat event triggers, rapidly compile all available hazard and exposure data.
Annual cat model assumption review
Compile external scientific data to support annual cat model assumption updates and challenge process.
Reinsurance renewal cat exposure summary
Build the catastrophe exposure summary for reinsurance renewal negotiations.
Frequently Asked Questions
Can these tools replace RMS, AIR, or Verisk cat models?
No — vendor cat models are built on proprietary hazard databases, exposure data, and vulnerability functions calibrated from thousands of events. These tools complement cat modeling by providing real-time event monitoring, scientific literature access, and data for model validation and assumption challenge.
How current is the earthquake event data?
Earthquake Monitor pulls from USGS and EMSC feeds in near real-time, typically reflecting events within minutes of official agency publication. This is suitable for live event monitoring during active sequences. For historical seismicity research, data goes back decades.
What ocean and tide data is available?
Ocean Data covers NOAA tide gauges, wave height observations, sea surface temperatures, and storm surge records. Coverage is best for US coastal stations, with global coverage from international buoy networks. Historical data supports model validation; live feeds support active storm monitoring.
How do I use satellite imagery in cat model validation?
Satellite Imagery is useful for pre- and post-event exposure documentation, WUI boundary assessment, and evaluating flood extent. Resolution varies by provider and coverage area. For formal model validation, imagery provides qualitative support; quantitative validation requires event footprint data from model vendors or government agencies.
What peer-reviewed databases does Academic Research cover?
Academic Research covers major scientific databases including Semantic Scholar, CrossRef, and open-access archives, providing access to millions of papers. For cat modeling, it excels at finding published research on hazard science, climate change impacts, and insurance loss studies. Full-text access depends on open access status.
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Works in Chat, Cowork and Code