Price: $ 0 USD - Free
Genre: Weather
Developer: University of California, Irvine }else{?>Developer: University of California, Irvine
Rated: 3.22 out of 5 stars.
Based on 22 reviews.
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iRain UCI App V. 2.3.6
by University of California, Irvine
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- - More Info...
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🌟 What makes iRain UCI so special? 🌟
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 Artifici...
Whether you're a seasoned pro or a newbie in the digital world, iRain UCI app is designed to make your life easier, more fun, and more productive. Here are just a few highlights:
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🚀 Price: 0 USD
📈 Rating: 3.22 out of 5 stars. Based on 22 total reviews.
🎨 Content Rating: 4+
💡 New Features:
But that's not all! The University of California, Irvine team is continuously improving and expanding iRain UCI to bring you even more exciting features at the palm of your hand, being last updated at 2023-08-08, the University of California, Irvine team works hard to stay ahead of the curve and bring you an exceptionally robust, secure, and up-to-date app.
Download and experience iRain UCI now and unlock a new journey in your mobile world – Your mobile device will thank you.! 📱💫
Also don't miss out on future mobile app features. Join the millions who have already discovered the magic of iRain UCI and download BigTopApps Discovery App today, and never miss a new app announcement and feature release again! We are also on the web at BigTopApps.com.
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Developer: University of California, Irvine
Seller: University of California, Irvine
Price: 0 USD
Current version: 2.3.6
Last Updated: 2023-08-08
Ratings: 3.22 out of 5 stars.
Based on 22 reviews. (Rate/Review)
Genre: Weather
Filesize: 45.80MB
IOS Bundle ID: edu.uci.chrs.irain
Age Rating: 4+
Languages: EN
Videos: iRain UCI App Videos
Apple AppStore - Google Play
Please note BigTopApps is not responsible for the content provided by the publicly accessible App Store API.
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
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