iRain UCI 4+
University of California, Irvine
專為 iPad 設計
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- 免費
螢幕截圖
描述
Welcome to the iRain app. The app is licensed to the Center for Hydrometeorology & Remote Sensing (CHRS) at the University of California Irvine (UCI).
iRain provides access to real-time global high-resolution (~4km) satellite precipitation products from the PERSIANN-CCS (Precipitation Estimation from Remotely Sensed Information using the Artificial Neural Networks - Cloud Classification System), which has been developed by the research team at CHRS. The building block of iRain rests on the satellite precipitation estimates generated by the PERSIANN algorithm which has been under development for over two decades. More detailed information about PERSIANN-CCS can be found at http://chrs.web.uci.edu.
iRain allows users to visualize real-time global satellite precipitation observations and track extreme precipitation events globally. Users can also use the crowdsourcing functionality of the app to report their local rainfall information to supplement our data.
The web version of iRain is hosted at:
http://irain.eng.uci.edu.
Acknowledgments:
The iRain system is the product developed by Dr. Phu Nguyen, Assistant Adjunct Professor in the Center for Hydrometeorology and Remote Sensing (CHRS) at UCI and his team, which includes a dedicated group of mostly undergraduate students, including Phat Huynh, Thanh N. Palacios, Hoang Tran, and April Huie.
The iRain mobile app was developed by David Furman.
Financial support of the following agencies is acknowledged:
- NASA funding resulted in the development of the PERSIANN algorithm and several of its variations.
- ICIWaRM of the US Army Corps of Engineers has provided a major part of support for Mr. Dan Braithwaite, Programmer Analyst III at CHRS.
- The US Army Research Office’s support has resulted in additional refinement of the PERSIANN algorithm
- Cooperation with UNESCO’s G-WADI program has been critical to the dissemination of data worldwide.
- NOAA funding through the Climate Data Record (CDR) program resulted in the PERSIANN-CDR dataset.
The following members of CHRS (former and current) are greatly acknowledged.
Kuolin Hsu, Xiaogang Gao, Bisher Imam, Dan Braithwaite, Hamed Ashouri, Andrea Thorstensen, Scott Sellars, Ali Behrangi.
Special thanks to Hien To, Ph.D. student at USC, for his contribution on the crowdsourcing technologies.
Soroosh Sorooshian, Ph.D. NAE
CHRS Director
最新功能
版本 2.3.6
Bug fixes & stability improvements
App 私隱
開發者表明University of California, Irvine的私隱慣例或包括下列資料的處理。詳情請參閱開發者的私隱政策。
不收集資料
開發者不會從此 App 收集任何資料。
私隱慣例或因使用的功能或年齡等因素而異。進一步了解
資料
- 供應商
- University of California, Irvine
- 大小
- 48 MB
- 類別
- 天氣
- 兼容性
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- iPhone
- 須使用 iOS 13.0 或以上版本。
- iPad
- 須使用 iPadOS 13.0 或以上版本。
- iPod touch
- 須使用 iOS 13.0 或以上版本。
- Mac
- 須使用 macOS 11.0 或以上版本及配備 Apple M1 或以上版本晶片的 Mac。
- Apple Vision
- 須使用 visionOS 1.0 或以上版本。
- 語言
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英文
- 年齡
- 4+
- Copyright
- © CHRS UC Irvine
- 價格
- 免費