Coming up
The next update will be sent to subscribers on Aug 25.
HurriLab builds hurricane intelligence that's comprehensive enough for scientists and clear enough for everyone else. Each month, we send a short note on what we built, what we learned, and what's next — this page is the running archive of those notes.
The next update will be sent to subscribers on Aug 25.
Hello everyone! Thanks for subscribing to the "Notes from the Lab".
I spent the first month at HurriLab talking to people about how they manage hurricane risk in real time. Through discussions with dozens of folks in logistics, energy, financial services, utilities and other industries, I learned about many unique challenges and gaps in how they use hurricane data to monitor and react to risk. For example, they told me it's difficult to find a single source of comprehensive risk data with both global scale and local detail.
To address a few of the key themes I heard, I started building and prototyping. Here's a look at a few snapshots of functional prototypes that have emerged from these early discussions:
First, a global view of risk, providing situational awareness everywhere:
Next, high-res probabilistic wind risk for every active (and soon-to-be active) storm globally:
Including customizable wind hazard information for every location at risk:
So what's next?
I'm excited about the unique data foundation that's coming together, and the value it can bring to real-world challenges like the ones I've been hearing about. None of it would be possible without the foundational data provided by the global meteorology community.
During the next few months, I'll continue building the tools and evaluating their performance over a range of past and future storms. I'll be fine-tuning data formats, thresholds, hazards, update frequencies, and integrations so that the data is ready to weave into real workflows. And I'll keep iterating with early partners to make sure we're solving real problems.
With peak season approaching, I'm also looking for a few more organizations to test the data against real decisions. Share this with anyone you think may benefit from what HurriLab is building, and schedule some time to chat if you want to learn more yourself.
—Wallace
Book a meeting · HurriLab.com
Graphics shown are experimental prototypes produced by HurriLab LLC, derived in part from ECMWF open data (© ECMWF, licensed under CC BY 4.0), NOAA/NWS data, and Google DeepMind WeatherNext data accessed via Weather Lab. Source data has been modified by HurriLab LLC. HurriLab LLC is not affiliated with, sponsored by, or endorsed by Google, ECMWF, NOAA, or any government meteorological agency. © 2024-5 Google LLC, whose machine learning models were used to create the experimental data made available under the following licence terms https://storage.googleapis.com/weathernext-public/terms-of-use.pdf. This data is intended for experimental modelling only and is not intended, validated, or approved for real world use.
Well, here we go! After leaving NOAA's National Hurricane Center in May, I've landed in Wilmington, NC, which will be the home of HurriLab. If you care about real-time hurricane risk, I'd love for you to join me on this journey. More to come next month.
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