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CIKM AnalytiCup

Shenzhen Meteorological Bureau-Alibaba Short-Term Quantitative Precipitation Forecasting Challenge

Short-term precipitation forecasting such as rainfall prediction is a task to predict future rainfall amount based on current observations. It is a very important problem in the field of meteorological service. An accurate weather prediction service can support casual usage such as outdoor activity and provide early warnings of floods or traffic accidents. To predict short-term rainfall amount, we usually make use of radar data, rain gauge data and numerical weather outputs. In this challenge, we focus on the first type of data - radar data, more specifically radar echo extrapolation data. Our target is to build a rainfall prediction model by solely using the radar data.

First Prize

SGD

6,000

Second Prize

SGD

2,000

Third Prize

SGD

1,000

SGD

2,000

Travel funds for the top three teams to present their solutions in person at CIKM.

In order to be eligible for the awards, winners should submit the code and solution report (4 pages in ACM format) to the organizers by the stipulated deadline.



Organisers:

Xunlai Chen | Minghui Qiu | Hui Li | Xing Shi | Chunyan Cao | Ke Zhang | Xia Mao | Wei Chu | Yiting Wang


In collaboration with CIKM AnalytiCup Co-Chairs:

Hady W. Lauw | Xiaoli Li | Nik Spirin



Important Dates

10:00

UTC+8

15

Mar '17
Data Release

10:00

UTC+8

22

Mar '17
Contest Begins (Leaderboard Opens)

23:59

UTC+8

22

Jun '17
Team Merge Deadline

10:00

UTC+8

23

Jun '17
Testing Data Update

23:59

UTC+8

30

Jun '17
Last Shot & Contest ends

10:00

UTC+8

7

Jul '17
Semi-finalists Announcement

23:59

UTC+8

28

Jul '17
Report & Code Due

10:00

UTC+8

7

Aug '17
Finalists Announcement (The exact placements (1st place, 2nd place, 3rd place) will be announced during the workshop at the conference.)