An app called Sunshine wants you to help it create more accurate, localized weather forecasts.
The app, currently in a private beta test, combines data from the National Oceanic and Atmospheric Administration (NOAA) with atmospheric pressure readings captured by a smartphone. The latest iPhones, and some Android smartphones, include barometers for measuring atmospheric pressure. These sensors are generally used to determine elevation for navigation, but changes in air pressure can also signal changes in the weather.
Sunshine will also rely on users to report sudden weather hazards like fog, cofounder Katerina Stroponiati says. About 250 people spread out among the Bay Area, New York, and Dallas are now using Sunshine, she says, and the team behind it plans to release the app publicly at the end of March for the iPhone. It will be free, though some features may eventually cost extra.
While weather predictions have gotten more accurate over the years, they’re far from perfect. Weather information usually isn’t localized, either. The goal of Sunshine is to better serve places like its home base of San Francisco, where weather can be markedly different over just a few blocks.
Stroponiati aims for Sunshine to get enough people sending in data—three per square mile would be needed, according to experiments the team has conducted—that the app can be used to make weather prediction more accurate than it tends to be today. Some other apps, like PressureNet and WeatherSignal, already gather data entered manually by users, but they don’t yet offer crowdsourced forecasts.
I checked out the private beta version of the app, which showed me weather-app basics like an hourly forecast for the current day and basic weather details for the days ahead. The app showed my current weather as clear and 64 degrees, and said the data was gathered from 37 devices in the area.
Cliff Mass, an atmospheric science professor at the University of Washington, cautions that while crowdsourced barometer data can help provide detailed weather statistics, making forecasts is trickier: for that, all those data points must be used with weather-data models. This is the kind of thing he’s working on with the use of smartphone barometric readings that come in via the PressureNet and WeatherSignal apps.
Sunshine’s small team doesn’t include any meteorologists, but the company is looking to hire some weather experts, and Stroponiati says it is running numeric models on the data collected through the app.
This new data poisoning tool lets artists fight back against generative AI
The tool, called Nightshade, messes up training data in ways that could cause serious damage to image-generating AI models.
Rogue superintelligence and merging with machines: Inside the mind of OpenAI’s chief scientist
An exclusive conversation with Ilya Sutskever on his fears for the future of AI and why they’ve made him change the focus of his life’s work.
Data analytics reveal real business value
Sophisticated analytics tools mine insights from data, optimizing operational processes across the enterprise.
Driving companywide efficiencies with AI
Advanced AI and ML capabilities revolutionize how administrative and operations tasks are done.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.