Wildfire and bushfire models

The insurance industry’s losses due to wildfires are rising. Escalated wildfire severity and expanded exposure in wildfire-prone areas, alongside an increase in reconstruction costs, have all contributed to devastating impacts on insurers’ bottom lines. Shifting regulatory landscapes and market dynamics add to wildfire risk management’s complexity. 

Among other lessons, recent wildfires have highlighted the importance of enhanced wildfire risk modeling for underwriting entire portfolios, pricing and underwriting individual policies, reinsurance purchasing, and capital adequacy. 

Moody’s can help you gain perspective on wildfire risk to enhance pricing accuracy, achieve a stronger position in the market, and outperform the competition. From better risk selection to risk-appropriate pricing, our wildfire modeling capabilities can help you quantify mitigation impacts for a more complete picture of wildfire risk. 

Midnight view of peoples looking forest fire.


Testimonial

The stochastic modeling information Moody’s gave us is powerful. We’re now able to prioritize where we do mitigation work with a data-driven approach. We are able to understand bands of uncertainty in our assumptions, and, more importantly, rigorously test and challenge them.

— Robert LeMoine
Director of Enterprise Risk Management, Insurance, and Data Analytics, Southern California Edison


Wildfire near road

What is urban conflagration and what role does it play in managing wildfire risk 

Urban conflagration plays a critical role in wildfire risk management, especially in densely populated areas. It models how ember hazards can trigger and sustain rapid fire spread in urban settings, traditionally seen as low-risk zones. This mechanism can lead to significant losses deep within urban environments, as seen in events like the 2017 Tubbs fire. Understanding urban conflagration is essential for assessing and mitigating wildfire risks in urbanized regions, ensuring better preparedness and response strategies. 





How we help

01 Model coverage

Model coverage

Moody’s RMS™ Wildfire and Bushfire HD Models deliver comprehensive geographic coverage to help you better assess wildfire risk. In North America, the models cover the contiguous United States, Hawaii, and 10 Canadian provinces. In Australia, coverage extends across mainland Australia, Tasmania, and the surrounding smaller islands.

02 Advanced hazard modeling

Advanced hazard modeling

The model incorporates the latest fuel data, historical fire databases, and burn probability maps, maintaining accuracy and relevance in hazard modeling.  

03 Robust stochastic event catalogue

Robust stochastic event catalogue

Our stochastic catalog include up to 100,000-year fire weather and extreme wind speed simulations and results up to 160 million heat, ember, and smoke footprints in per model. This comprehensive dataset, combined with improved ignition modeling at the community and location levels, facilitates in-depth risk analysis, particularly in understanding the tail risk profile associated with wildfires. 

04 Extensive vulnerability curve

Extensive vulnerability curve

Moody’s RMS model’s refined damage curves allow for a more accurate estimation of potential losses and a finer differentiation of risk, enhancing its utility for wildfire risk underwriting by ensuring a high degree of accuracy 

05 Enhanced secondary modifiers

Enhance secondary modifiers

Models incorporates credits for local wildfire risk reduction measures. The expanded list of modifiers allows users to evaluate the effectiveness of mechanical thinning techniques and other property and community hardening measures. 

06 Urban conflagration modeling

Urban conflagration modeling

Moody’s specifically calibrated its urban conflagration capabilities to assess built environments’ vulnerability to wildfires. This module, with its increased number of simulations, addresses the uncertainties in urban conflagration modeling, providing a more insightful assessment of urban fire risk. 

07 Specialty models

Specialty models

Expanded secondary modifiers and the introduction of specialty models provide targeted insights for various risks. These additions allow for a nuanced evaluation of mitigation measures and compliance with evolving regulatory requirements, offering tailored solutions for specific sectors or exposure types.


Download the buyer’s guide: 10 critical questions for smarter wildfire modeling

Wildfire risk is evolving rapidly, and insurers and reinsurers need high-resolution, actionable insights to stay ahead. Moody’s RMS™ US Wildfire HD Model Buyer’s Guide delivers expert guidance to help you:

  • Benchmark wildfire models using the 10 essential questions every modeler should ask 
  • Understand how advanced modeling approaches improve risk selection, pricing, and capital allocation 
  • Evaluate coverage, urban conflagration, mitigation strategies, and utility risks with confidence

forest


Delivering advanced wildfire insights through HD Framework 


HD models are a major step forward in the quality of catastrophe risk quantification, delivering deep insights that can inform risk management practices and business decision-making. We at Moody’s tailored our HD modeling framework for cloud-native architecture, leveraging enhanced processing capabilities for model calculations and outputs. This approach helps modelers to obtain deeper insights into their risk assessments. 






Wildfire near road

Reshaping the insurance market: The 2025 Los Angeles Wildfire 

Since 2011, California has endured more than 50 major wildfires, resulting in over $100 billion in total losses. The 2025 Los Angeles wildfire highlights how a series of wildfires can devastate California communities while underscoring the growing need for a more sophisticated understanding of risk. With over $22 billion in losses reported by insurers and reinsurers, the event serves as a wake-up call, prompting significant changes in how carriers approach coverage.  





Where we help

Regional and country wildfire models



News and views

announcement
Moody’s Wildfire Risk Model Successfully Completes California Department of Insurance Review Process

Moody’s Corporation announced today that the Moody’s RMS U.S. Wildfire Model v2.0 has successfully completed the review process established by the California Department of Insurance (CDI).  

Moody's
article
Establishing a new standard for Australian bushfire risk modelling

Moody’s is stepping up to help tackle head-on the challenges posed by this fast-evolving risk with our forthcoming Moody’s RMS™ Australia Bushfire HD Model.  

whitepaper
Quantifying avoided loss to hard infrastructure from hazardous fuels reduction

Quantify how forest treatment mitigation and resiliency measures can lower wildfire risk. 

whitepaper
Application of wildfire mitigation to insured property exposure

To quantify the benefits of certain wildfire mitigation features, this study uses the Moody’s RMS North America Wildfire Model to quantify hypothetical loss reduction benefits in nine communities across three Western states: California, Colorado, and Oregon. 

wildfire
blog
Hawaii wildfires: reflections on the first anniversary, new insights, and innovations for the insurance sector

The scale and intensity of the devastating 2023 wildfires in Hawaii not only underscored the vulnerability of the island’s communities but also laid bare the challenges and opportunities the insurance sector faces in addressing and managing wildfire risk.

wildfires
blog
Shaping the future of wildfire insurance in California: new insights from the most comprehensive wildfire risk model in the market

Wildfire insurance coverage struggles to evolve as regulatory frameworks have hindered the use of risk analytics tools such as catastrophe wildfire models in the rate-making process.

north america wildfires
blog
Advancing wildfire risk management with the North America Wildfire HD Version 2.0 Model

Wildfire risk in North America is becoming more frequent and severe, posing severe financial risks to insurers. 

wildfires
blog
Canada wildfire: Managing the next Fort McMurray

In 2016, the Fort McMurray wildfire became Canada's most expensive disaster, costing C$8.9 billion. Prompting the largest evacuation in Canada's history, it underscored the urgent need for better wildfire risk understanding and insurance strategies.

wildfires
blog
California wildfires: Exposure impacted by the Thomas Fire

The Thomas Fire, California's second-largest wildfire, raises concerns for the insurance industry due to the varying insured values of affected properties. Spanning ten ZIP codes, it has impacted communities with differing average insured values. 

Chartis RiskTech100 2026 award
Chartis RiskTech100 2026 Moody's Insurance award
Insurance ERM Americas Awards 2025 Winner Catastrophe risk
Chartis Quantitative Analytics 50 2025 #1
Insurance ERM Americas Awards 2025 Winner Stress scenarious
Chartis RiskTech AI50 2025 - Moody's AI-Driven Property Risk Analytics
Insurance ERM CRSA Awards 2025 winner UK & Europe  Economic scenario
Chartis RiskTech AI50 2025 - Moody's AI-Driven Insurance Risk Analytics
Insurance ERM CRSA Awards 2025 winner Americas Economic scenario
Insurance ERM CRSA Awards 2025 winner UK & Europe Catastrophe risk
Insurance ERM CRSA Awards 2025 winner UK & Europe IFRS 17

GET IN TOUCH

Speak to our team

Interested in learning more about our offerings? Our solutions specialists are ready to help.