Aurora Now - Northern Lights by VNIL AB represents a specialized meteorological application designed specifically for aurora borealis prediction and observation. The application occupies a distinct niche within weather forecasting tools by focusing exclusively on celestial light phenomena, leveraging real-time data streams from multiple scientific sources to deliver accurate visibility predictions. The application's core functionality centers on its sophisticated forecasting engine, which processes geomagnetic activity data, cloud coverage patterns, and atmospheric conditions to generate location-specific aurora probability percentages. Users can access detailed KP index readings, real-time magnetometer data, and cloud cover maps through an integrated dashboard. The notification system allows for customizable alert thresholds based on KP index values, moon phase considerations, and local weather conditions, enabling precise planning for optimal viewing opportunities. User experience demonstrates thoughtful design with intuitive data visualization including color-coded probability maps, simplified explanatory text for complex meteorological concepts, and seamless integration of multiple data layers. The interface prioritizes accessibility for novice users while maintaining depth for experienced aurora chasers. Real-world usage patterns show peak engagement during geomagnetic storms, with users typically checking forecasts multiple times daily and relying heavily on push notifications for spontaneous viewing opportunities. User feedback consistently praises the application's accuracy and educational value. Rob Mrowka (August 12, 2024) reported successful aurora photography following a KP 7 alert, while Kelly Walters (October 12, 2024) credited the app with enabling two successful photography sessions through timely notifications and light pollution mapping. Krista Charles (March 26, 2025) specifically noted the application's superior data interpretation compared to competitors, eliminating the need for external research. The application demonstrates notable strengths in data accuracy and user education, though limitations include dependency on external data sources and potential notification delays during severe space weather events. Ideal use cases involve mid-latitude aurora chasing where prediction complexity increases, and photographic expeditions requiring precise timing and location planning.