Precipitation Forecasting
13 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Precipitation Forecasting
Most implemented papers
Learning Robust Precipitation Forecaster by Temporal Frame Interpolation
This achievement not only underscores the effectiveness of our methodologies but also establishes a new standard for deep learning applications in weather forecasting.
Short-term Precipitation Forecasting in The Netherlands: An Application of Convolutional LSTM neural networks to weather radar data
petrosdemetrakopoulos/lstm-radar-precipitation-forecast
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This work addresses the challenge of short-term precipitation forecasting by applying Convolutional Long Short-Term Memory (ConvLSTM) neural networks to weather radar data from the Royal Netherlands Meteorological Institute (KNMI).
GD-CAF: Graph Dual-stream Convolutional Attention Fusion for Precipitation Nowcasting
wendig/gd-caf
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In particular, we introduce Graph Dual-stream Convolutional Attention Fusion (GD-CAF), a novel approach designed to learn from historical spatiotemporal graph of precipitation maps and nowcast future time step ahead precipitation at different spatial locations.
