A Self-Attention Causal LSTM Model for Precipitation Nowcasting
L She, C Zhang, X Man, X Luo… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Precipitation nowcasting is a critical task that can facilitate multiple applications including
urban warnings and traffic. Deep learning methods combining convolutional neural …
urban warnings and traffic. Deep learning methods combining convolutional neural …
Spatiotemporal Enhanced Adversarial Network for Precipitation Nowcasting
Precipitation nowcasting is a critical aspect of meteorological services, which helps people
make reasonable arrangements. Nowadays the methods based on recurrent neural …
make reasonable arrangements. Nowadays the methods based on recurrent neural …
Deep learning for precipitation nowcasting: A benchmark and a new model
With the goal of making high-resolution forecasts of regional rainfall, precipitation
nowcasting has become an important and fundamental technology underlying various …
nowcasting has become an important and fundamental technology underlying various …
PFST-LSTM: A spatiotemporal LSTM model with pseudoflow prediction for precipitation nowcasting
Precipitation nowcasting is an important task, which can serve numerous applications such
as urban alert and transportation. Previous studies leverage convolutional recurrent neural …
as urban alert and transportation. Previous studies leverage convolutional recurrent neural …
The reconstitution predictive network for precipitation nowcasting
Precipitation nowcasting is an indispensable task for traffic routing and disaster avoidance.
Due to its strenuous movement, even the most recent deep learning techniques in computer …
Due to its strenuous movement, even the most recent deep learning techniques in computer …
Two-stream convolutional LSTM for precipitation nowcasting
S Chen, X Xu, Y Zhang, D Shao, S Zhang… - Neural Computing and …, 2022 - Springer
Reliable precipitation nowcasting is essential to many fields, which can guide people to
reasonably carry out production activities and respond to rainstorm disasters. However …
reasonably carry out production activities and respond to rainstorm disasters. However …
Spatiotemporal contextual consistency network for precipitation nowcasting
Precipitation nowcasting is forecasting rainfall in the short-term conditioned by the known
meteorological parameters. Recently, deep neural networks (DNNs) have shown …
meteorological parameters. Recently, deep neural networks (DNNs) have shown …
Contextual Sa-attention convolutional LSTM for precipitation nowcasting: A spatiotemporal sequence forecasting view
T Xiong, J He, H Wang, X Tang, Z Shi… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Precipitation nowcasting is an important tool for nowcasting weather. In recent years,
progress has been achieved in some models based on deep learning for precipitation …
progress has been achieved in some models based on deep learning for precipitation …
RAP-Net: Region Attention Predictive Network for Precipitation Nowcasting
C Luo, R Ye, X Li, Y Ye - arXiv preprint arXiv:2110.01035, 2021 - arxiv.org
Natural disasters caused by heavy rainfall often cost huge loss of life and property. To avoid
it, the task of precipitation nowcasting is imminent. To solve the problem, increasingly deep …
it, the task of precipitation nowcasting is imminent. To solve the problem, increasingly deep …
PredRANN: The spatiotemporal attention convolution recurrent neural network for precipitation nowcasting
Precipitation nowcasting is an important task in the fields of transportation, traffic, agriculture,
and tourism. One of the main challenges is radar echo maps forecasting. It is regarded as a …
and tourism. One of the main challenges is radar echo maps forecasting. It is regarded as a …