Sunshine Provides Street-Level Weather Forecasts by User-Generated Input

By: Cadhla Gray - Oct 14, 2015
References: & psfk
This crowdsourcing app provides street-level weather forecasts that are up to 36 percent more accurate than weather professionals. Limiting the amount of issues people run into by incorrectly planning for the day's weather, this app uses the power of people to provide users with detailed forecasts, down to the very street they will be on.

By using a smartphone's built-in barometer sensors in tandem with a user-generated report, Sunshine provides weather reports that are garnered from both machines and people. While this is an improved way of getting accurate weather reports, there are other apps that similarly provide street level weather reports. 'Weather Signal' uses people's "mobile as a weather station," by garnering information from the same cell phone barometric sensors. However, Sunshine provides a human inputting component that reduces error by taking details into account that the sensors can read incorrectly.