iRain UCI
ASO Keyword Dashboard
Tracking 108 keywords for iRain UCI in Apple App Store
iRain UCI tracks 108 keywords (no keywords rank yet; 108 need traction). Key metrics: opportunity 47.2, difficulty 38.4.
Tracked keywords
108
0 ranked • 108 not ranking yet
Top 10 coverage
—
Best rank — • Latest leader —
Avg opportunity
47.2
Top keyword: time
Avg difficulty
38.4
Lower scores indicate easier wins
Opportunity leaders
- 88.7
time
Opportunity: 59.0 • Difficulty: 62.9 • Rank —
Competitors: 1,805
- 85.7
access
Opportunity: 59.0 • Difficulty: 63.2 • Rank —
Competitors: 1,388
- 67.9
version
Opportunity: 58.0 • Difficulty: 45.6 • Rank —
Competitors: 182
- 77.7
support
Opportunity: 58.0 • Difficulty: 55.8 • Rank —
Competitors: 515
- 74.6
users
Opportunity: 58.0 • Difficulty: 52.5 • Rank —
Competitors: 430
Unranked opportunities
time
Opportunity: 59.0 • Difficulty: 62.9 • Competitors: 1,805
access
Opportunity: 59.0 • Difficulty: 63.2 • Competitors: 1,388
version
Opportunity: 58.0 • Difficulty: 45.6 • Competitors: 182
support
Opportunity: 58.0 • Difficulty: 55.8 • Competitors: 515
users
Opportunity: 58.0 • Difficulty: 52.5 • Competitors: 430
High competition keywords
time
Total apps: 8,391 • Major competitors: 1,805
Latest rank: — • Difficulty: 62.9
access
Total apps: 6,181 • Major competitors: 1,388
Latest rank: — • Difficulty: 63.2
using
Total apps: 4,473 • Major competitors: 924
Latest rank: — • Difficulty: 61.4
us
Total apps: 4,260 • Major competitors: 915
Latest rank: — • Difficulty: 57.5
mobile
Total apps: 3,947 • Major competitors: 846
Latest rank: — • Difficulty: 60.2
All tracked keywords
Includes opportunity, difficulty, rankings and competitor benchmarks
| Major Competitors | |||||||
|---|---|---|---|---|---|---|---|
| version | 58 | 100 | 46 | 68 1,006 competing apps Median installs: 238,775 Avg rating: 4.6 | — | — | 182 major competitor apps |
| support | 58 | 100 | 56 | 78 2,741 competing apps Median installs: 233,950 Avg rating: 4.6 | — | — | 515 major competitor apps |
| users | 58 | 100 | 52 | 75 1,979 competing apps Median installs: 259,400 Avg rating: 4.6 | — | — | 430 major competitor apps |
| sensing | 0 | 41 | 12 | 18 5 competing apps Median installs: 148,800 Avg rating: 4.7 | — | — | 1 major competitor apps |
| events | 20 | 100 | 57 | 70 1,227 competing apps Median installs: 322,325 Avg rating: 4.6 | — | — | 331 major competitor apps |
| product | 20 | 100 | 49 | 64 654 competing apps Median installs: 282,388 Avg rating: 4.6 | — | — | 170 major competitor apps |
| information | 58 | 100 | 57 | 78 2,704 competing apps Median installs: 252,888 Avg rating: 4.6 | — | — | 572 major competitor apps |
| team | 58 | 100 | 52 | 75 1,972 competing apps Median installs: 284,662 Avg rating: 4.6 | — | — | 445 major competitor apps |
| welcome | 58 | 100 | 51 | 73 1,721 competing apps Median installs: 240,400 Avg rating: 4.6 | — | — | 342 major competitor apps |
| using | 58 | 100 | 61 | 83 4,473 competing apps Median installs: 247,200 Avg rating: 4.6 | — | — | 924 major competitor apps |
| time | 59 | 100 | 63 | 89 8,391 competing apps Median installs: 259,600 Avg rating: 4.6 | — | — | 1,805 major competitor apps |
| mobile | 58 | 100 | 60 | 81 3,947 competing apps Median installs: 251,675 Avg rating: 4.7 | — | — | 846 major competitor apps |
| program | 58 | 100 | 51 | 62 534 competing apps Median installs: 269,325 Avg rating: 4.7 | — | — | 126 major competitor apps |
| including | 58 | 100 | 62 | 81 3,880 competing apps Median installs: 285,400 Avg rating: 4.6 | — | — | 926 major competitor apps |
| university | 57 | 100 | 31 | 41 67 competing apps Median installs: 211,800 Avg rating: 4.7 | — | — | 11 major competitor apps |
| products | 20 | 100 | 58 | 67 928 competing apps Median installs: 325,375 Avg rating: 4.7 | — | — | 263 major competitor apps |
| group | 58 | 100 | 60 | 64 695 competing apps Median installs: 244,600 Avg rating: 4.6 | — | — | 151 major competitor apps |
| access | 59 | 100 | 63 | 86 6,181 competing apps Median installs: 268,700 Avg rating: 4.6 | — | — | 1,388 major competitor apps |
| student | 57 | 100 | 35 | 50 160 competing apps Median installs: 249,638 Avg rating: 4.5 | — | — | 28 major competitor apps |
| track | 58 | 100 | 60 | 80 3,456 competing apps Median installs: 263,688 Avg rating: 4.7 | — | — | 822 major competitor apps |
| information using | 0 | 49 | 14 | 19 6 competing apps Median installs: 441,762 Avg rating: 4.7 | — | — | 2 major competitor apps |
| provides | 58 | 100 | 49 | 74 1,846 competing apps Median installs: 221,075 Avg rating: 4.6 | — | — | 308 major competitor apps |
| center | 58 | 100 | 47 | 62 552 competing apps Median installs: 240,312 Avg rating: 4.6 | — | — | 107 major competitor apps |
| part | 58 | 100 | 54 | 69 1,154 competing apps Median installs: 268,538 Avg rating: 4.6 | — | — | 247 major competitor apps |
| allows | 58 | 100 | 50 | 75 2,119 competing apps Median installs: 225,625 Avg rating: 4.6 | — | — | 351 major competitor apps |
App Description
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