By University of California, Irvine
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Welcome to iRain version 2.02!
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. A useful feature of iRain is that real-time rainfall observation data can be easily shared through social networks i.e. Facebook, Twitter.
iRain is available for iOS and Android devices.
iRain 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 David Furman, Phat Huynh, Thanh N. Palacios, Hoang Tran, and April Huie.
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
What's New in Version 2.0.2
• Loading centroids has been made more reliable.
• Added the version number at the bottom of the "About" page.
• Improved the animation of the search bar.
• Various other slight fixes.
Good app for rain totals
Very nice app. The one criticism I have is that there should be a way to turn off the crowdsource layer, or at least filter out the items with "no precipitation." Here in Southern California the map is literally filled with useless "no precipitation" markers.
And I agree with the other reviewer about mm vs inches. I'd much prefer to see this in inches.
A promised app
This app is improved over the time and being useful. Fantastic working and progressing. I hope to see more feature in the new update.
One of best app to view weather
If you are outdoor person and want to check weather where u are heading, this is right choice! Recommended!!!
- Category: Weather
- Updated: Oct 29, 2016
- Version: 2.0.2
- Size: 36.3 MB
- Language: English
- Seller: University of California, Irvine
- © CHRS UC Irvine
Compatibility: Requires iOS 9.0 or later. Compatible with iPhone, iPad, and iPod touch.