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iRain UCI 4+
University of California, Irvine
Designet til iPad
-
- Gratis
Skærmbilleder
Beskrivelse
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
Nyheder
Version 2.3.6
Bug fixes & stability improvements
App-anonymitet
Udvikleren, University of California, Irvine, har angivet, at fremgangsmåder vedrørende app-anonymitet muligvis inkluderer håndtering af data som beskrevet nedenfor. Du kan få flere oplysninger her: udviklerens anonymitetspolitik.
Data indsamles ikke
Udvikleren indsamler ikke data fra denne app.
Fremgangsmåder vedrørende anonymitet kan variere, f.eks. baseret på de funktioner, du bruger, eller din alder. Læs mere
Oplysninger
- Leverandør
- University of California, Irvine
- Størrelse
- 48 MB
- Kategori
- Vejr
- Kompatibilitet
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- iPhone
- Kræver iOS 13.0 eller en nyere version.
- iPad
- Kræver iPadOS 13.0 eller en nyere version.
- iPod touch
- Kræver iOS 13.0 eller en nyere version.
- Mac
- Kræver macOS 11.0 eller en nyere version og en Mac med Apple M1-chip eller en nyere version.
- Apple Vision
- Kræver visionOS 1.0 eller en nyere version.
- Sprog
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Engelsk
- Alder
- 4+
- Copyright
- © CHRS UC Irvine
- Pris
- Gratis