From Damage Compensation to Preventive Risk Management
How can knowledge about physical climate risks serve as a useful basis for preventing damage and mitigating the consequences of extreme weather?
Physical climate risks are playing an increasingly prominent role in the insurance industry’s risk management. But knowing that, for example, flooding, torrential rain, or heat are risks is not the same as knowing which properties are exposed, how that exposure varies, and where preventive measures can be most effective.
This is also at the heart of the shift that EIOPA describes as “from payout to prevention ”—moving from primarily compensating for damages after they occur to focusing more on preventive measures against climate risk.
From General Risk to Specific Properties
The fact that an area is vulnerable to, for example, flooding does not automatically indicate the level of risk for an individual property.
Two properties in the same area may have different levels of exposure depending on factors such as elevation, soil conditions, proximity to water, and terrain. For an insurance company, therefore, the level of geographic detail becomes crucial when translating an overall risk picture into practical risk management.
When climate data is combined with property information and geographic analyses, it is possible to move from general climate risk to identifying exposure at the property level—and then analyze patterns and concentrations across a larger insured portfolio.
This provides a better basis for identifying where a more in-depth analysis is needed and where preventive measures can be prioritized.
More data is not necessarily better data
The challenge is not primarily about gaining access to as much climate data as possible.
For the information to serve as a basis for decision-making, it must be relevant to the issue at hand, have the correct geographic resolution, and be linkable to the properties and assets that are actually being assessed. Furthermore, different data sources must be able to be combined in a reliable manner.
This makes the selection of data part of the analysis itself. The question should therefore not begin with:
“What climate data do we have?”
but rather:
“What decision or preventive measure does the information need to support?”
Only then can we determine what information and what analysis are needed.
From Payout to Prevention
In September, the European Commission announced that it would establish a Climate Insurance Alliance to reduce Europe’s insurance gap in the event of climate-related disasters. The background is that only about 25 percent of disaster losses in Europe are covered by private insurance.
At the same time, EIOPA highlights the need to shift from ex post compensation to more preventive risk management. As historical loss data becomes less reliable as an indicator of future losses, the need for forward-looking data increases.
For insurance companies, this represents a significant shift. Climate risk data can not only contribute to an understanding of where losses may occur, but also to the question of where there are opportunities to prevent or mitigate them.
Geographic analyses can, for example, be used to identify properties or areas with heightened exposure and provide a basis for prioritizing further analysis, preventive measures, and dialogue with customers.
Thus, knowledge of physical climate risk becomes part of ongoing risk management—not just a matter for claims handling.
Climate risk is also an economic issue
CDP’s“ ” Disclosure Dividend 2026 shows that environmental risks are increasingly linked to financial consequences. Among the more than 11,260 large and medium-sized companies included in the analysis, 71 percent identified which financial metrics are exposed to material environmental risks.
At the same time, the report highlights the potential economic value of proactively managing environmental risks. The calculations are based on the companies’ own estimates and should therefore be viewed as indicative, but they reinforce a key point:
The cost of risk must be weighed against the value of preventing its consequences.
For the insurance industry, this issue is becoming increasingly concrete as climate-related losses rise while exposure varies geographically.
Three questions to consider
For insurance companies developing their approach to physical climate risk, we would start with three questions:
1. What decision or action should the information support?
Portfolio screening, risk analysis, loss prevention, customer dialogue, or prioritization of preventive measures?
2. What level of geographic detail is required?
A general risk overview may be sufficient for an initial screening, while preventive risk management may require analysis at the property or building level.
3. Can the information be linked to our existing portfolio and our processes?
Value is only realized when climate risk information can be related to the properties and assets that the business actually works with.
Read Metria Insights Insurance – Climate Risk in Practice
In Metria Insights Insurance, we explore in depth how climate data, property information, and geographic analyses can be used to move from a general risk overview to identifying exposure and prioritizing further analysis and preventive measures.
Read Metria Insights Insurance – Climate Risk in Practice
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Guide: Climate Risk Analysis with Geodata
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Do you want to move from risk assessment to proactive risk management?
Metria combines property information, geodata, and geographic analyses to identify and analyze physical climate risk at the property and portfolio levels. The analysis can be tailored to your organization’s specific needs and provide a basis for identifying exposure, prioritizing in-depth analysis, and supporting preventive risk management.
Contact us to discuss how climate risk data can be used in your loss prevention efforts