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AI Challenge – Weather Forecasting Competition

To deepen students’ understanding on Artificial Intelligence, EdCity, Microsoft, Hong Kong Observatory and Hong Kong Meteorological Society jointly organise the ‘AI Challenge – Weather Forecasting Competition’ for Secondary school students again this year.

Students will utilise machine learning and AI-driven data to predict the weather, which further enhance their problem-solving skills, at the same time cultivate their awareness on climate change and sustainable development. 

 

Objectives

  • To empower teachers and secondary school students to make use of machine learning/deep learning in AI
  • To let students experience on how to solve real life problem using AI
  • To enhance students’ awareness of climate change and involve them to shoulder the responsibility for driving sustainable development of our globe

Target

  • Secondary School Students

Rules & Regulations

  • Each school can form two participating teams maximum, and each team should consist of two to five students. Each student can only participate in one team.
  • Deadline of Enrolment: 29 June, 2023
  • From 03 to 07 July (updated) 2023, the participating teams need to submit the hourly temperature forecast from 12 noon to 11 pm at Tai Mo Shan for each day (i.e. 12 data per day, 60 data altogether). 
  • Participating teams need to submit:
  1. The hourly temperature forecast from 12 noon to 11 pm at Tai Mo Shan for each day (i.e. 12 data per day, 60 data altogether)
    • Submission Time: Daily forecast can be submitted from 12:00 noon on the day before to 10:00 am on the forecast day. (E.g. submission period of the forecast of 03 July:  02 July 12:00 noon to  26 June 10:00 am)
    • The submitted forecast temperature at Tai Mo Shan is in degree Celsius, good to 0.1°C）
    • Each team can submit once only per day, no changes can be made after the submission.
  2. An introductory PowerPoint (within ten slides) AND an introductory video (within three minutes) ON OR BEFORE 07 July (updated) 23:59 to elaborate how machine learning / deep learning of AI is used in deducing your results for this forecasting competition
  • Submission of any entry indicates that the participant has read and accepted the Rules & Regulations of the competition.
  • The Organisers own the copyright of the awarded entries.
  • The Organisers reserve the right to amend and/or cancel the activities as well as the Rules & Regulations without prior notice.
  • In case of any dispute, the Organisers reserve the right of final decision.

Organisers

Microsoft          香港天文台     香港氣象學會     

Co-organisers

    

Participating teams need to submit:

  1. The hourly temperature forecast from 12 noon to 11 pm at Tai Mo Shan for each day (i.e. 12 data per day, 60 data altogether)
    • Submission Time: Daily forecast can be submitted from 12:00 noon on the day before to 10:00 am on the forecast day. (E.g. submission period of the forecast of 03 July:  02 July 12:00 noon to  03 July 10:00 am)
    • The submitted forecast temperature at Tai Mo Shan is in degree Celsius, good to 0.1°C）
    • Each team can submit once only per day, no changes can be made after the submission.
  2. An introductory PowerPoint (within ten slides) AND an introductory video (within three minutes) ON OR BEFORE 07 July to elaborate how machine learning / deep learning of AI is used in deducing your results for this forecasting competition

 

The judging panel is formed by professionals from coorganisers and follows the below criteria to carry out the judging:

1 Forecast Accuracy 50%
  • The submitted temperature forecast will be compared with HKO instrument's reading at Tai Mo Shan. The closer to the instrument reading, the less points one will get. For example: temperature forecast at 2 pm was 27.5°C while the instrument reading was 27.2°C. Then, the difference or error would be 0.3°C, which means 0.3 points will be got, and so on.
  • 50 points will be added to all late or nil submission of any single forecast.
  • The final score of each team will be obtained after normalisation with all other teams' submissions
2 Application of Machine Learning 20%
  • Applying Machine Learning Algorithms, examples: Regression Analysis, Cluster Analysis, etc.
  • Capable of explaining how to apply Algorithms
3 Application of Data analysis and Computational Thinking 20%
  • Applying mathematical method in estimation, examples: Mean, Largest and Smallest values, etc.
4 Team Collaboration and Communication 10%
  • Demonstrating Team Collaboration
  • Listing out how the Team cooperates, example: task list, etc.

 

 

The below data will be provided to the participants:

Historical data

  • Hourly temperature, humidity, wind speed and direction, rainfall amount from 14 HKO automatic weather stations (AWS) of the past 10 years
  • Hourly temperature data from the specific location for a certain past period

Near real time data (updated once a day tentatively(TBC))

  • Hourly data from the 14 HKO AWS
  • Hourly data from Tai Mo Shan

 

Participants can also use other data from HKO website, MyObservatory mobile app, or any other open data or information from the Internet.

Awards Quantity Prizes
Champion 1 Xbox Series S & Book Vouchers
First Runner-up 1 Kittenbot Micro:bit Inventor Education Kit with AI Camera KOI & Micro:bit:v2  & Book Bouchers
Second Runner-up 1 Microsoft Mouses & Book Bouchers
Merit Awards 7 Book Bouchers
  • Each participating student who has completed the competition (submitted all 5-day forecast and the files) will be presented a certificate
  • Winners will also be presented relevant certificates

Briefing Session and Machine Learning Workshop

Date & Time: 20 May 2023 (Sat) 10:00 – 12:00
Venue: Room 201-202, 2/F, Hong Kong Education City, Sha Kok Estate, Shatin
Target: Secondary school teachers and students
Content:
•    Introduction of the Challenge
•    Introduction of Machine Learning
•    Training AI module hands-on workshop
•    Interpretation of Competition Data 

 

Event Recap

Introduction of AI Weather Forecast 2022/23

 

Introduction of Machine Learning

 

 

 

Training AI module hands-on workshop

 

 

Gear-up Workshop

Date & Time: 24 June 2023（updated） (Sat) 10:00 – 12:00
Venue: Room 201-202, 2/F, Hong Kong Education City, Sha Kok Estate, Shatin
Target: Secondary school teachers and students
Content:
•    Reviewing Fundamental Skills
•    Advanced Knowledge of Machine Learning
•    Interpretation of Competition Data 


*Enrolment by school

Event Recap

 

Award School Name Team Members
Champion Queen Elizabeth School Wong Chun Yat, Hui Pok Shing, Wong Pui Yan, Lam Tsz Fai
First Runner-up Carmel Pak U Secondary School Luo Yuen Yik, Lee Sze In, Yan Yue Hang Enoch, Lam Long Hei, Cheung Ka Ki
Second Runner-up CCC Ming Kei College Chan Yu Shing, Lau Chun Lok, Chan Katy
Pui Tak Canossian College 于天雅, 屈妍希, 陳雅盈, 區慧儀, 沈珈同
Merit Awards S.K.H. Tsang Shiu Tim Secondary School Chung King Sum, Cheung Pak Him
Tuen Mun Catholic Secondary School 嚴穎茵, 巫智穎, 何朗曦, 韓婥雯, 吳梓新
S.K.H. Tsang Shiu Tim Secondary School Tong Chun Yin, Lo Tsz Hin
Cheung Sha Wan Catholic Secondary School Cheung Hoi Leong, Ho Pun Ching, Chan Ho Yeung Jimmie, Lam Si Hong, Tan Chun Sing
C.C.C. Ming Yin College Chan Ka To Alan, Chan Sheung Chi, Li Man Kwan, Lin Tat Chiu, Siu Shi Tin
Notre Dame College 林國麟, 張善衡, 余梓軒, 馮禧朗, 蔡偉豐