4.7
1,546 条评分
★★★★★
2026年5月10日
2015年12月6日
更新内容
v2.18.3Minor improvements and bugfixes
应用信息
- 开发者
- VNIL AB
- 分类
- Weather
- 价格
- 免费
- 版本
- 2.18.3
- App ID
- 1037695306
简介
Aurora Now: Your Ultimate Northern Lights Companion Experience the Magic of the Aurora Borealis with Aurora Now! Eager to witness the awe-inspiring Northern Lights? Look no further! Aurora Now is your one-stop app for all things aurora-related. Whether you're an avid aurora chaser or just starting your journey into the world of celestial wonders, Aurora Now has got you covered. Key Features: * Local Aurora Forecast: Stay ahead of the game with our real-time aurora forecast. We provide you with location-based predictions for the Northern Lights, helping you determine your chances of spotting the beautiful lights. Custom location is also supported. * Customizable Aurora Alerts: Never miss a moment of Northern Lights brilliance with our push notifications! If you choose to use our Alert Service, you have access to more customizable aurora alerts than any other Aurora app on the App Store. Examples: Get notified based on your local auroral activity, receive notifications 1-2 days prior to high activity, set up custom alerts for solar wind metrics like bt, bz, and speed and much more. * Live Solar Data: Dive into the heart of the sun's activities! Explore live solar data as well as stunning live images of the sun. * Interactive Graphs: Explore crucial aurora metrics through visually captivating graphs, color-coded to illustrate their influence on the mesmerizing auroral activity. With Aurora Now, witnessing the Northern Lights has never been more accessible or exciting. Whether you're a seasoned aurora hunter or a newbie, our app empowers you to confidently chase the auroras and capture unforgettable memories. Don't miss out on the magic of the Northern Lights. Download Aurora Now today and embark on a celestial journey that will leave you spellbound! Terms of Use: https://vnilapps.com/aurora-now/terms-conditions
下载量预测
预估总下载量
609
低 / 月
902
预估 / 月
2K
高 / 月
基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。
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