An Energy-Based Generative Adversarial Forecaster for Radar Echo Map Extrapolation
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DOI: 10.1109/lgrs.2020.3023950
Abstract: Precipitation nowcasting is an important task in weather forecast. The key challenge of the task lies at radar echo map extrapolation. Recent studies show that a convolutional recurrent neural network (ConvRNN) is a promising direction… read more here.
Keywords: extrapolation; generative adversarial; echo map; map extrapolation ... See more keywords
NLED: Nonlocal Echo Dynamics Network for Radar Echo Extrapolation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3197833
Abstract: Radar echo extrapolation is a common approach to weather nowcasting, which has become a significant support to detect potential disastrous weather a few hours ahead. The dynamics pattern inside an echo intensity sequence is beneficial… read more here.
Keywords: network; echo dynamics; extrapolation; radar echo ... See more keywords
REMNet: Recurrent Evolution Memory-Aware Network for Accurate Long-Term Weather Radar Echo Extrapolation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3198851
Abstract: Weather radar echo extrapolation, which predicts future echoes based on historical observations, is one of the complicated spatial–temporal sequence prediction tasks and plays a prominent role in severe convection and precipitation nowcasting. However, existing extrapolation… read more here.
Keywords: radar echo; long term; extrapolation; evolution ... See more keywords
STUNNER: Radar Echo Extrapolation Model Based on Spatiotemporal Fusion Neural Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3268187
Abstract: Radar echo extrapolation based on deep learning is an important method for conducting precipitation nowcasting. Radar echo sequence data have spatiotemporal correlations and nonrigid movements of the radar echo. According to the characteristics of radar… read more here.
Keywords: network; stunner; spatiotemporal fusion; radar ... See more keywords
RainPredRNN: A New Approach for Precipitation Nowcasting with Weather Radar Echo Images Based on Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "Axioms"
DOI: 10.3390/axioms11030107
Abstract: Precipitation nowcasting is one of the main tasks of weather forecasting that aims to predict rainfall events accurately, even in low-rainfall regions. It has been observed that few studies have been devoted to predicting future… read more here.
Keywords: echo images; deep learning; radar; model ... See more keywords