I’m a PhD meteorologist with more than a decade of experience in the insurance industry. My academic research focused on decision-making under weather uncertainty: specifically, how probabilistic forecasts tied to decision algorithms can improve outcomes in high-stakes, high-dimensional problems.
In many industries, there is a long list of decisions to be made in the hours before a storm hits: when to shut down operations, how to position resources, and how to protect people and property. The stakes and complexity of the situation call for a cost-benefit analysis, but there is never enough time (and rarely enough data) for systematic decision-making.
I founded MeteoAct to bridge the gap between meteorology and real-world action. When there are million-dollar decisions to make and only a few hours to make them, you need the best available information, tailored to your precise decision.
If you have expensive decisions to make based on weather forecasts, I want to hear from you. MeteoAct’s products and custom-built solutions can help solve your problems.
From each NHC advisory, MeteoAct Envelope samples track, intensity, and storm-structure uncertainty. A physics-based wind field model runs over every scenario. The result is location-level exceedance probabilities on a ~2 km grid, extendable into loss space through exposure and vulnerability modeling. Wind field calibration is tested against NOAA’s independent URMA analyses; methods and results are on the verification page.
MeteoAct Envelope runs live on all Atlantic tropical cyclones. If your organization has big decisions to make when a hurricane is on the map, look at the live view and get in touch.