Research under this topic will addresses climate change is affecting prediction of various weather-related perils across time and spatial scales relevant to industry and develop methods to integrate the effects into industry workflows. Scientists will mine information from the entire earth system to improve our understanding of predictability at scales from seasonal to inter-annual to decadal.

This research thrust will maximize the value of existing climate and weather data by downscaling data for perils like flood, heat, and convective storms. These events may not often be as damaging as individual tropical storms, but their frequency and spatial scales pose a significant challenge in assessing their impacts today and in the future. Projects under this thrust will leverage advances in convection-permitting numerical weather prediction, hydraulic & hydrological modeling, and machine learning-based downscaling methods to improve our understanding of how these perils are changing

Climate change is not only complicating our understanding of the physical system and ability to make useful predictions, but also the economic systems we use to insure assets, the policy landscape our governments use to regulate financial and insurance markets, and society's relationship to insurance products. This research thrust will tackle problems that arise when natural catastrophes meet people, their property, and their livelihoods. We plan to provide outputs that you can use to inform incentives for your customers, and scientifically sound recommendations for policy makers and stakeholders.  

Our researchers will work on the entire value chain of climate impacts. By conducting research on individual and connected infrastructure systems, we can get a clearer picture of the impacts of disruptions on loss of business, logistics, transportation, and energy networks. We will use this understanding to develop practical tools to handle these issues in your risk prediction workflows. These allow for quantification of the resultant compounding, co-evolving transition and physical risks.

Research and efforts under this pillar will seek to establish consistent and industry-standard benchmarking that is both science-based and grounded upon reliable data and sound metrics. Through these efforts, this focus area will support the establishment of a coalition of academics, industry experts, regulators, stakeholders, and communities – that benefit from open science and FAIR data approaches.