this was first posted on LinkedIn
So, today, Resilens, the company that I co-founded, had the official launch of its website and the disclosure of what we are doing!
Climate adaptation has a data problem 🔗
Climate adaptation has a data problem, but not the one most people think. We potentially have access to hundreds of petabytes of data concerning climate change: let’s make a back-of-the-envelope calculation: 100 Earth-observing satellites generating ~1 TB/day adds up to ~36 PB per year. Add CMIP6's ~20 PB of climate model outputs, ERA5's ~5 PB reanalysis archive, and Copernicus's ~80 PB satellite data store alongside its 3.8 PB Climate Data Store, and you're already well past 100 petabytes, with more arriving daily.
So, there is plenty of hazard data. Plenty of geodata. Plenty of cost models. However, we don’t make good use of the data when it comes to decision making: How can we identify the most impactful, decision-relevant signals within the massive data streams? Answering these questions is what consultants do, study by study, and the answers go out of date the moment new data arrives.
Meet Resilens, the decision engine for climate adaptation 🔗
That's why today, we are announcing Resilens, the decision engine for climate adaptation. At the core is “AdaptationReturn”, our ROI metric that quantifies the value of every adaptation measure, at every site, before any money is spent. We help public and private decision-makers turn climate risk into fundable adaptation plans.
If you want to know more about our platform: on 6 May, we’ll launch publicly at the ETH Alumni Pavilion during Zürich Climate Week. We’re hosting a joint session with CLIMADA Technologies on heat, health, and Switzerland’s hospital network. If you’re in town, come join us.
Stay connected 🔗
Thanks for reading. Have a look at resilens.com to see what we are building, and our careers site if you would like to join the team — get in touch either way.
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