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Wang Chun WOO
Wang Chun WOO
Hong Kong Observatory
hko.gov.hk의 이메일 확인됨
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Convolutional LSTM network: A machine learning approach for precipitation nowcasting
X Shi, Z Chen, H Wang, DY Yeung, WK Wong, W Woo
Advances in neural information processing systems 28, 2015
61252015
Deep learning for precipitation nowcasting: A benchmark and a new model
X Shi, Z Gao, L Lausen, H Wang, DY Yeung, W Wong, W Woo
Advances in neural information processing systems 30, 2017
4902017
Operational application of optical flow techniques to radar-based rainfall nowcasting
W Woo, W Wong
Atmosphere 8 (3), 48, 2017
1142017
Convolutional LSTM network: A machine learning approach for precipitation nowcasting. arXiv 2015
X Shi, Z Chen, H Wang, DY Yeung, WK Wong, WC Woo
arXiv preprint arXiv:1506.04214, 0
52
Detecting water vapor variability during heavy precipitation events in Hong Kong using the GPS tomographic technique
B Chen, Z Liu, WK Wong, WC Woo
Journal of Atmospheric and Oceanic Technology 34 (5), 1001-1019, 2017
252017
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting, 2015
X Shi, Z Chen, H Wang, DY Yeung, W Wong, W Woo
arXiv preprint arXiv:1506.04214, 2015
182015
Application of optical flow techniques to rainfall nowcasting
WC Woo, WK Wong
the 27th Conference on Severe Local Storms, 2014
142014
Convolutional LSTM network: A machine learning approach for precipitation nowcasting. CoRR abs/1506.04214 (2015)
X Shi, Z Chen, H Wang, DY Yeung, WK Wong, W Woo
arXiv preprint arXiv:1506.04214, 2015
132015
Deep learning for precipitation nowcasting: A benchmark and a new model. arXiv 2017
X Shi, Z Gao, L Lausen, H Wang, DY Yeung, WK Wong, WC Woo
arXiv preprint arXiv:1706.03458, 0
9
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model 2017
X Shi, Z Gao, L Lausen, H Wang, DY Yeung, W Wong, W Woo
URL: http://arxiv. org/abs/1706.03458, 2017
82017
An Algorithm to EnhAncE nowcAst of rAinfAll Brought By tropicAl cyclonEs through sEpArAtion of motions
WC Woo, KK Li, M Bala
Tropical Cyclone Research and Review 3 (2), 111-121, 2014
72014
Location-based rainfall nowcasting service for public
W Woo
EGU General Assembly Conference Abstracts, EGU2013-2767, 2013
72013
Deep learning and the weather forecasting problem: Precipitation nowcasting
Z Gao, X Shi, H Wang, DY Yeung, W Woo, WK Wong
Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote …, 2021
62021
A deep-learning method for precipitation nowcasting
W Wong, X Shi, DY Yeung, WC Woo
WMO WWRP 4th International Symposium on Nowcasting and Veryshort-range …, 2016
62016
Challenges and advances related to TC rainfall forecast
WC Woo, W HOGSETT, M Mohapatra, K NAGATA, P OTTO, QI Liangbo, ...
Third International Workshop on Tropical Cyclone Landfall Processes (IWTCLP …, 2014
62014
Rain forecast on MyObservatory-a location-based rainfall nowcasting service for the public
WC Woo
The 14th Workshop on meteorological operational systems, 2013
62013
Enhancement of optical flow technique for Nowcasting of springtime squall lines over Hong Kong
WC Woo
The Fifth International Workshop on Monsoons, 2013
52013
Field transformation approach to photonic band structure calculations
GQ Gu, PM Hui, C Xu, WC Woo
Solid state communications 120 (12), 483-486, 2001
52001
Development of Satellite Reflectivity Retrieval Technique for Tropical Cyclone Rainfall Nowcasting
W WOO, Y IP, W WONG, N CHAN
Fourth International Workshop on Tropical Cyclones Landfall Processes …, 2017
32017
Case Study of Using the Blending Radar-Numerical Weather Prediction Product in Nowcasting
VK Mai, W Woo, W Wong, SL Yeung, T Du Duc, KH Mai, DQ Dang, ...
VNU Journal of Science: Earth and Environmental Sciences 37 (3), 2021
12021
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