Experimental Study on Generative Adversarial Network for Precipitation Nowcasting
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3177625
Abstract: 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 Convolutional Recurrent Neural Network (ConvRNN) to address… read more here.
Keywords: network; wasserstein gan; regularization; generative adversarial ... See more keywords
MM-RNN: A Multimodal RNN for Precipitation Nowcasting
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3264545
Abstract: Precipitation nowcasting, the high-resolution forecasting of precipitation in a short term, is essential in various applications in the real world. Previous deep learning methods use huge samples to learn potential laws, and the learning process… read more here.
Keywords: rnn; multimodal rnn; rnn multimodal; rnn precipitation ... See more keywords
Computer Vision in Precipitation Nowcasting: Applying Image Quality Assessment Metrics for Training Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2019 at "Atmosphere"
DOI: 10.3390/atmos10050244
Abstract: This paper presents a viewpoint from computer vision to the radar echo extrapolation task in the precipitation nowcasting domain. Inspired by the success of some convolutional recurrent neural network models in this domain, including convolutional… read more here.
Keywords: quality; computer vision; quality assessment; image ... See more keywords
Precipitation Nowcasting Based on Deep Learning over Guizhou, China
Sign Up to like & getrecommendations! Published in 2023 at "Atmosphere"
DOI: 10.3390/atmos14050807
Abstract: Accurate precipitation nowcasting (lead time: 0–2 h), which requires high spatiotemporal resolution data, is of great relevance in many weather-dependent social and operational activities. In this study, we are aiming to construct highly accurate deep… read more here.
Keywords: time; deep learning; china; precipitation nowcasting ... 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