Research Forum 2018
Leveraging Big Data and Artificial Intelligence in Weather Observations and Forecasting
(18 October 2018)
The Hong Kong Observatory organized the Research Forum "Leveraging Big Data and Artificial Intelligence in Weather Observations and Forecasting" on 18 October 2018. Experts from local universities were invited to share their knowledge and research findings on application of big data and artificial intelligence (AI) in various fields including landslide monitoring, seasonal forecasting and stormwater management. The Observatory gave presentations on urban weather monitoring for smart cities and application of deep learning in rainfall nowcasting. Participants from public utility companies and government works departments also exchanged views on development and application of AI with the speakers.
| Topic | Speaker | Download presentation |
|---|---|---|
Urban Weather Monitoring for Smart Cities |
Mr. Stephen Po-wing LAU |
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Application of Deep Learning in Urban Hydrology |
Prof. May CHUI The University of Hong Kong |
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From Big Data to Improvement of Daily to Seasonal Weather Forecasting |
Prof. Ji CHEN The University of Hong Kong |
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Machine Learning for Spatiotemporal Sequence Forecasting and Its Application to Nowcasting |
Prof. Dit-yan YEUNG The Hong Kong University of Science and Technology |
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Deep Learning Nowcast |
Mr. Wang-chun WOO |
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Transfer Learning: From Landslide Identifications and Predictions to Weather Observations and Forecasting using Big Data and Artificial Intelligence |
Prof. Yu-hsing WANG |
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