Weather and Climate Change Risk

Climate resilience efforts such as new flood defense systems and building codes have offset potential insured losses in New Orleans, according to Swiss Re report.

Catastrophe risk information from government bodies and academic institutions would make it possible to insure more homeowners based on more granular assessment, according to insurance industry professionals.

The Insurance Information Institute report calls for a focus on high-quality data to target insurance availability and affordability in wildfire-prone areas of California.

Misunderstandings over flood insurance coverage can be costly for homeowners when damage occurs.

The Task Force on Climate-related Financial Risks won't be disbanded, according to people familiar with the matter.

The Geneva Association report analyzes the impacts of extreme weather and socioeconomic factors on home insurance availability and affordability.

NASA, Munich Re, The Institutes and others share insights on tech like Earth Observation and Gen AI at ClimateTech Connect 2025.

Insurers are betting on a suite of new AI-driven techniques to better predict surging losses from climate-driven weather catastrophes.

Though microinsurance coverage increased in the last three years, there is an 88% protection gap, according to Microinsurance Network report.

California's insurer of last resort is careening toward another hot and dry summer with its coffers already strained. That's raising the prospect that state residents will need to pick up the bill for more funds.

The global insurance protection gap was last estimated at $1.8 trillion, according to SAS.

Increasing weather-related risks and costs combined with companies pulling out of some states, is affecting the remaining carriers and state insurers.

Though consumers are open to the use of AI in severe weather risk monitoring, trust and transparency is key, according to a 2025 Insurity report.

Earlier this week, NOAA scientists and staff were told to log and clear all international contacts and communication, according to internal communications seen by Bloomberg News.

The California-based insurtech uses AI-powered models and property-specific data to address all perils, including wildfire, severe convective storms and non-weather water.

Insights from Clyde & Co, Climate X and Innsure.

Even the most-sophisticated scientific models fail to capture all the risk factors or properly account for the increasing impact of climate change.

When it comes to pricing property risk and assessing the impact of severe weather events, catastrophe models are the backbone of the process.

ZestyAI research shows that 45% of properties have multiple structures, highlighting the potential for coverage gaps.

The NFMA has floated best disclosure practices for public power agencies that ask for more data on climate and resiliency goals.