iRain UCI
ASO Keyword Dashboard
Tracking 109 keywords for iRain UCI in Apple App Store
iRain UCI tracks 109 keywords (1 keyword ranks; 108 need traction). Key metrics: 0% top-10 coverage, opportunity 70.0, difficulty 39.1, best rank 110.
Tracked keywords
109
1 ranked • 108 not ranking yet
Top 10 coverage
0%
Best rank 110 • Latest leader —
Avg opportunity
70.0
Top keyword: university
Avg difficulty
39.1
Lower scores indicate easier wins
Opportunity leaders
- 64.0
university
Opportunity: 73.0 • Difficulty: 39.8 • Rank —
Competitors: 29
- 67.6
student
Opportunity: 73.0 • Difficulty: 41.0 • Rank —
Competitors: 62
- 66.8
block
Opportunity: 73.0 • Difficulty: 42.8 • Rank —
Competitors: 264
- 66.8
functionality
Opportunity: 73.0 • Difficulty: 41.3 • Rank —
Competitors: 101
- 67.3
generated
Opportunity: 73.0 • Difficulty: 41.7 • Rank —
Competitors: 80
Unranked opportunities
university
Opportunity: 73.0 • Difficulty: 39.8 • Competitors: 29
student
Opportunity: 73.0 • Difficulty: 41.0 • Competitors: 62
block
Opportunity: 73.0 • Difficulty: 42.8 • Competitors: 264
functionality
Opportunity: 73.0 • Difficulty: 41.3 • Competitors: 101
generated
Opportunity: 73.0 • Difficulty: 41.7 • Competitors: 80
High competition keywords
time
Total apps: 190,736 • Major competitors: 2,966
Latest rank: — • Difficulty: 55.3
access
Total apps: 163,515 • Major competitors: 2,635
Latest rank: — • Difficulty: 55.1
mobile
Total apps: 120,211 • Major competitors: 1,593
Latest rank: — • Difficulty: 53.3
using
Total apps: 115,141 • Major competitors: 1,548
Latest rank: — • Difficulty: 53.5
information
Total apps: 112,143 • Major competitors: 1,128
Latest rank: — • Difficulty: 52.4
All tracked keywords
Includes opportunity, difficulty, rankings and competitor benchmarks
| Major Competitors | |||||||
|---|---|---|---|---|---|---|---|
| rain | 71 | 100 | 37 | 55 2,034 competing apps Median installs: 1,050 Avg rating: 4.2 | 122 | 110 | 67 major competitor apps |
| version | 70 | 100 | 46 | 75 29,567 competing apps Median installs: 550 Avg rating: 4.0 | — | — | 378 major competitor apps |
| support | 67 | 100 | 52 | 82 75,083 competing apps Median installs: 512 Avg rating: 4.2 | — | — | 1,105 major competitor apps |
| users | 68 | 100 | 50 | 80 60,732 competing apps Median installs: 350 Avg rating: 4.0 | — | — | 667 major competitor apps |
| sensing | 69 | 100 | 27 | 44 434 competing apps Median installs: 250 Avg rating: 3.7 | — | — | 0 major competitor apps |
| events | 70 | 100 | 49 | 76 35,917 competing apps Median installs: 300 Avg rating: 4.2 | — | — | 475 major competitor apps |
| product | 71 | 100 | 46 | 73 22,970 competing apps Median installs: 350 Avg rating: 4.1 | — | — | 300 major competitor apps |
| information | 66 | 100 | 52 | 84 112,143 competing apps Median installs: 350 Avg rating: 4.1 | — | — | 1,128 major competitor apps |
| team | 69 | 100 | 49 | 77 40,927 competing apps Median installs: 550 Avg rating: 4.2 | — | — | 862 major competitor apps |
| welcome | 69 | 100 | 49 | 78 45,408 competing apps Median installs: 350 Avg rating: 4.3 | — | — | 685 major competitor apps |
| using | 66 | 100 | 53 | 85 115,141 competing apps Median installs: 500 Avg rating: 4.0 | — | — | 1,548 major competitor apps |
| time | 65 | 100 | 55 | 88 190,736 competing apps Median installs: 450 Avg rating: 4.1 | — | — | 2,966 major competitor apps |
| mobile | 66 | 100 | 53 | 85 120,211 competing apps Median installs: 400 Avg rating: 4.0 | — | — | 1,593 major competitor apps |
| program | 72 | 100 | 44 | 71 17,297 competing apps Median installs: 400 Avg rating: 4.1 | — | — | 228 major competitor apps |
| including | 68 | 100 | 52 | 81 67,998 competing apps Median installs: 600 Avg rating: 4.1 | — | — | 1,401 major competitor apps |
| university | 73 | 100 | 40 | 64 6,678 competing apps Median installs: 350 Avg rating: 4.0 | — | — | 29 major competitor apps |
| products | 71 | 100 | 49 | 74 24,737 competing apps Median installs: 400 Avg rating: 4.1 | — | — | 398 major competitor apps |
| group | 71 | 100 | 51 | 73 23,469 competing apps Median installs: 400 Avg rating: 4.2 | — | — | 304 major competitor apps |
| access | 65 | 100 | 55 | 87 163,515 competing apps Median installs: 450 Avg rating: 4.1 | — | — | 2,635 major competitor apps |
| student | 73 | 100 | 41 | 68 11,010 competing apps Median installs: 300 Avg rating: 4.0 | — | — | 62 major competitor apps |
| track | 66 | 100 | 53 | 84 109,353 competing apps Median installs: 450 Avg rating: 4.2 | — | — | 1,552 major competitor apps |
| information using | 68 | 100 | 24 | 40 236 competing apps Median installs: 400 Avg rating: 4.1 | — | — | 3 major competitor apps |
| provides | 67 | 100 | 49 | 81 72,728 competing apps Median installs: 350 Avg rating: 4.0 | — | — | 564 major competitor apps |
| center | 72 | 100 | 44 | 69 14,212 competing apps Median installs: 400 Avg rating: 4.1 | — | — | 200 major competitor apps |
| part | 70 | 100 | 48 | 75 29,377 competing apps Median installs: 400 Avg rating: 4.1 | — | — | 405 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