As the creator of Predict Now, I wanted an app that fit the needs of meteorologists, storm chasers, and weather enthusiasts who are passionate about forecasting severe weather. Predict Now is the result of thousands of hours of research, development, and conversations with people who forecast weather.
One of the standout features of Predict Now is its detailed radar maps. I have ensured that the app provides a comprehensive view of radar activity across the entire United States, enabling users to easily track storms and precipitation. Whether you’re monitoring a local thunderstorm or following the path of a hurricane, Predict Now’s radar maps will keep you informed and ahead of the game with updates every 2 minutes.
In addition to radar, I have incorporated a powerful front tracking feature in Predict Now. This allows users to visualize the movement of warm fronts, cold fronts, and other weather systems, providing valuable insights into upcoming changes in the weather pattern. By staying informed about frontal movements, users can make more accurate predictions and better prepare for potential severe weather events.
I am particularly proud of the integration of the Storm Prediction Center’s mesoanalysis tool in Predict Now. This feature grants users access to a wealth of data and visualizations, offering insights into current weather conditions and severe weather potential. Users can explore various indices like CAPE, wind shear, and more, empowering them to make well-informed forecasts and assess the likelihood of severe weather outbreaks.
Predict Now also includes a comprehensive surface observations feature, displaying detailed METARs from numerous locations across different regions, including the infamous Tornado Alley. This allows users to access real-time weather updates and monitor conditions on the ground, which is crucial for storm chasers and those in areas prone to severe weather. There are thousands of surface observations available in Predict Now.
To provide users with the most advanced satellite imagery available, I have integrated data from the cutting-edge GOES-16 satellite into Predict Now. This offers high-resolution visuals of water vapor, infrared, and visible satellite data, giving users a comprehensive understanding of atmospheric conditions. The GOES-16 imagery is a game-changer for weather enthusiasts, enabling them to analyze and predict weather patterns with unprecedented accuracy.
Predict Now also leverages the power of the High-Resolution Rapid Refresh (HRRR) model, which is particularly useful for tracking rapidly changing weather events. The HRRR provides short-term, high-resolution forecasts, allowing users to stay on top of evolving weather situations. Additionally, the app includes other weather models like the NAM and NSSL WRF, offering users a variety of forecasting perspectives to enhance their understanding and prediction capabilities.
I have designed Predict Now with the specific goal of aiding individuals interested in monitoring and preparing for severe weather events like tornadoes, hailstorms, hurricanes and flash floods. The app’s high-resolution data, sourced from advanced models and satellite imagery, ensures accurate and detailed weather visualization. Moreover, Predict Now is optimized for iPhone, providing a smooth and efficient user experience while minimizing data usage.
With its wide coverage spanning the United States and Southern Canada, Predict Now caters to a large user base, making it the go-to app for weather enthusiasts across the region.
I am confident that Predict Now will revolutionize the way you track, analyze, and forecast severe weather. Whether you’re a seasoned meteorologist, a passionate storm chaser, or simply someone who wants to stay informed about the weather, Predict Now is the ultimate tool to elevate your forecasting skills.
Download Predict Now today and join the community of weather enthusiasts who rely on this powerful app to stay one step ahead of the storm. I am committed to continuously improving and updating Predict Now based on user feedback, ensuring that it remains the leading choice for severe weather forecasting.