This app and real-time weather network uses crowdsourced data to provide more accurate forecasts. Based in San Francisco, startup Sunshine is trying to provide access to more precise prediction when it comes to weather conditions in the moment.
They are trying to do this in four different cities by automatically aggregating information using the built-in barometric sensors found in smartphones. Users can also report extreme conditions such as icy roads or upcoming storms to the real-time weather network in an effort to help out other app users. Described as a "peer-to-peer neighborhood weather network," the Sunshine app helps you plan up to 24 hours ahead.
Traditional meteorology forecasts are based off remote weather stations that send updates every 6 hours, where as this app essentially transforms your mobile device into your own personal weather station to reflect the weather now.
Crowdsourced Meteorology Apps
This Smartphone Real-Time Weather Network Uses a Peer-to-Peer Model
Trend Themes
1. Crowdsourced Weather Data - The use of crowdsourced data in weather forecasting disrupts traditional meteorology forecasts.
2. Real-time Weather Apps - Real-time weather apps that utilize peer-to-peer networks provide more accurate and precise predictions.
3. Mobile Weather Station - Transforming mobile devices into personal weather stations enables users to access more up-to-date weather information.
Industry Implications
1. Weather Forecasting - The weather forecasting industry can leverage crowdsourced data to improve the accuracy of their predictions.
2. Mobile App Development - Developers can tap into the trend of real-time weather apps to create innovative mobile solutions in the weather industry.
3. Smartphone Technology - Smartphone manufacturers and technology companies can explore opportunities to enhance their devices' weather-sensing capabilities.