Precipitation nowcasting using ground radar data and simpler yet better video prediction deep learning

D Han, M Choo, J Im, Y Shin, J Lee… - GIScience & Remote …, 2023 - Taylor & Francis
Skillful quantitative precipitation nowcasting (QPN) is important for predicting precipitation in
the upcoming few hours and thus avoiding significant socioeconomic damage. Recent QPN …

A practical online incremental learning framework for precipitation nowcasting

C Luo, Z Zhang, H Lin, B Zhang, X Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Precipitation nowcasting plays an important role in our life. Many deep learning-based
methods are proposed for precipitation nowcasting by predicting radar echo sequence over …

A Customized Multi‐Scale Deep Learning Framework for Storm Nowcasting

S Yang, H Yuan - Geophysical Research Letters, 2023 - Wiley Online Library
Storm nowcasting is critical and urgently needed. Recent advances in deep learning (DL)
have shown potential for improving nowcasting accuracy and predicting general low …

基于深度学习的短临降水预报综述

马志峰, 张浩, 刘劼 - 计算机工程与科学, 2023 - joces.nudt.edu.cn
短临降水预报是指短期内降水的高分辨率预测, 是一项重要但又困难的任务.
在深度学习的背景下, 它被视为一个基于雷达回波图的时空序列预测问题 …

A spatiotemporal convolution recurrent neural network for pixel-level peripapillary atrophy prediction using sequential fundus images

M Li, W Zhang, H Zhao, Y Xu, J Xu, H Li - Applied Soft Computing, 2024 - Elsevier
The progression of peripapillary atrophy (PPA) is closely associated with the development of
retinal diseases such as myopia and glaucoma. PPA prediction employing longitudinal …

DSADNet: A Dual-Source Attention Dynamic Neural Network for Precipitation Nowcasting

J Yao, J Ji, R Wang, X Huang, Z Kang, X Zhuang - Sustainability, 2024 - mdpi.com
Accurate precipitation nowcasting is of great significance for flood prevention, agricultural
production, and public safety. In recent years, spatiotemporal sequence models based on …

A survey of precipitation nowcasting based on deep learning

Z MA, H ZHANG, J LIU - Computer Engineering & Science, 2023 - joces.nudt.edu.cn
Precipitation nowcasting refers to the high-resolution prediction of precipitation in the short
term, which is an important but difficult task. In the context of deep learning, it is viewed as a …

Spatiotemporal Observer Design for Predictive Learning of High-Dimensional Data

T Liang, HX Li - arXiv preprint arXiv:2402.15284, 2024 - arxiv.org
Although deep learning-based methods have shown great success in spatiotemporal
predictive learning, the framework of those models is designed mainly by intuition. How to …

DIN-STGRU: A New Framework for Radar Echo Extrapolation

Y Zhou, R Ye, X Li, Y Ye, X Chen… - Available at SSRN …, 2022 - papers.ssrn.com
The task of precipitation nowcasting is significant in the operational weather forecast. The
radar echo map extrapolation plays a vital role in this task. Recently, deep …