Skilful precipitation nowcasting using deep generative models of radar
Precipitation nowcasting, the high-resolution forecasting of precipitation up to two hours
ahead, supports the real-world socioeconomic needs of many sectors reliant on weather …
ahead, supports the real-world socioeconomic needs of many sectors reliant on weather …
NowCasting-Nets: Representation learning to mitigate latency gap of satellite precipitation products using convolutional and recurrent neural networks
Accurate and timely estimation of precipitation is critical for issuing hazard warnings (eg, for
flash floods or landslides). Current remotely sensed precipitation products have a few hours …
flash floods or landslides). Current remotely sensed precipitation products have a few hours …
Precipitation nowcasting with orographic enhanced stacked generalization: Improving deep learning predictions on extreme events
One of the most crucial applications of radar-based precipitation nowcasting systems is the
short-term forecast of extreme rainfall events such as flash floods and severe thunderstorms …
short-term forecast of extreme rainfall events such as flash floods and severe thunderstorms …
Skillful radar-based heavy rainfall nowcasting using task-segmented generative adversarial network
R Wang, L Su, WK Wong, AKH Lau… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate and timely rainfall nowcasting is important for protecting the public from heavy
rainfall-induced disasters. In recent years, deep-learning models have been demonstrated …
rainfall-induced disasters. In recent years, deep-learning models have been demonstrated …
Experimental study on generative adversarial network for precipitation nowcasting
Precipitation nowcasting is an important task, which can be used in numerous applications.
The key challenge of the task lies in radar echo map prediction. Previous studies leverage …
The key challenge of the task lies in radar echo map prediction. Previous studies leverage …
EfficientRainNet: Leveraging EfficientNetV2 for memory-efficient rainfall nowcasting
Rainfall nowcasting is critical for timely weather predictions and emergency responses,
particularly in flood-prone areas. Existing models, while accurate, often require substantial …
particularly in flood-prone areas. Existing models, while accurate, often require substantial …
LPT-QPN: A lightweight physics-informed transformer for quantitative precipitation nowcasting
D Li, K Deng, D Zhang, Y Liu, H Leng… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Quantitative precipitation nowcasting (QPN) is a highly challenging task in weather
forecasting. The ability to provide precise, immediate, and detailed QPN products is …
forecasting. The ability to provide precise, immediate, and detailed QPN products is …
Nowcasting-Nets: Deep neural network structures for precipitation nowcasting using IMERG
Accurate and timely estimation of precipitation is critical for issuing hazard warnings (eg, for
flash floods or landslides). Current remotely sensed precipitation products have a few hours …
flash floods or landslides). Current remotely sensed precipitation products have a few hours …
A spatio-temporal neural network for fine-scale wind field nowcasting based on lidar observation
H Gao, C Shen, Y Zhou, X Wang… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Fine-scale wind field nowcasting is of great significance in air traffic management, power
grid operation, and so on. In this article, an indirect wind field nowcasting scheme based on …
grid operation, and so on. In this article, an indirect wind field nowcasting scheme based on …
A spatio-temporal graph-guided convolutional LSTM for tropical cyclones precipitation nowcasting
Real-time and accurate Tropical Cyclone (TC) precipitation nowcasting plays an important
role in disaster prevention and mitigation. The strong ability of deep learning has been …
role in disaster prevention and mitigation. The strong ability of deep learning has been …