Wake up on a morning and one of the first things you’re going to need to do is work out what the temperature is like outside, what it’s going to be for the rest of the day, and if you need to take your umbrella. Problem is, you don’t necessarily live near the closest weather station, and so the exact details of your days’ weather might be a little tricky to assess.
Not any longer, thanks to Nooly, a new smartphone application which bills itself as the first application to include “its own unique hyperlocal, hyper-accurate, short-range predictions.”
Using its system, Nooly is:
- Accurate: Predicts the exact minute a storm will start, get worse, and end (a first)
- Hyperlocal: Makes predictions that are within 0.4 square miles of your location—plus, you can see the weather for exact locations, meaning every road, park and point of interest (all a first).
- Up-To-Date: Updates predictions every 5 minutes for over 30 million US locations (a first).
- Cutting Edge Data: Is the only weather app that makes predictions from its own unique algorithms that crunch data from combining NASA / NOAA satellites and NOAA radars. This level of accuracy was only available previously to federal agencies (the FAA, military, etc.).
- Road Tested: Today, Nooly features over 50,000 beta users across iPhone & Android.
Available for free on iOS and Android, Nooly is the “most localised weather app” you’re likely to ever see. Capable of predicting the exact moment it will rain or snow, for every square kilometre, wherever you are.
“We couldn’t be more excited to bring such a revolutionary weather service to iPhone and Android users,” said Yaron Reich, Founder & CEO of Nooly. “It’s amazing to see how many people are affected by weather forecasts that are too general and not current enough on a daily basis. Nooly combats this by letting users know exactly when a storm will start, get worse and end within the next couple of hours, so they can plan their days the best way possible—for free, absolutely zero cost.”
“Nooly brought in two of the world’s top scientists in cloud physics and short-range weather prediction, Professor Daniel Rosenfeld of the Hebrew University in Jerusalem and Professor John R. Mecikalski of the University of Alabama-Huntsville.
“Using their deep background and expertise, the Nooly scientific team has built a series of meteorological and physical algorithms that track and process, in real-time, data from two NASA / NOAA satellites, over 260 NOAA radars, and other meteorological sources.”
Nooly has been in private beta for a year now, with over 50,000 users in the US who have helped the Nooly team test and refine the hyperlocal predictions which are going to be the centrepiece of their platform.
“Being so hyperlocal brings with it wide range of challenges,” said Reich. “We had to adjust our algorithm for different cities, like Seattle, which experiences shallow, constant rain, and New York, which often sees bursts of rain lasting a few minutes and impacting only a cluster of city blocks. San Francisco is also a tricky city, with a mostly calm climate, though the weather can change in very specific streets and neighborhoods. Hyperlocal is challenging, but obviously key.”
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