← Search

Wang-chun WOO

2 accepted papers

2017

Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model

NeurIPS 2017spotlight

With the goal of making high-resolution forecasts of regional rainfall, precipitation nowcasting has become an important and fundamental technology underlying various public services ranging from rainstorm warnings to flight safety. Recently, the Convolutional LSTM (ConvLSTM) model has been shown to…

Cited by 1128SourcePDFScholar
2015

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

NeurIPS 2015poster

The goal of precipitation nowcasting is to predict the future rainfall intensity in a local region over a relatively short period of time. Very few previous studies have examined this crucial and challenging weather forecasting problem from the machine learning perspective. In this paper, we formula…

Cited by 9108SourcePDFScholar