SOTAVerified

Precipitation Forecasting

Papers

Showing 125 of 36 papers

TitleStatusHype
Koopman neural operator as a mesh-free solver of non-linear partial differential equationsCode2
Adaptive Bias Correction for Improved Subseasonal ForecastingCode1
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather PredictionCode1
Data-driven Precipitation Nowcasting Using Satellite ImageryCode1
Graph Dual-stream Convolutional Attention Fusion for Precipitation NowcastingCode1
MetNet: A Neural Weather Model for Precipitation ForecastingCode1
PostRainBench: A comprehensive benchmark and a new model for precipitation forecastingCode1
PreDiff: Precipitation Nowcasting with Latent Diffusion ModelsCode1
Short-term Precipitation Forecasting in The Netherlands: An Application of Convolutional LSTM neural networks to weather radar dataCode1
Skillful Twelve Hour Precipitation Forecasts using Large Context Neural NetworksCode1
SRNDiff: Short-term Rainfall Nowcasting with Condition Diffusion ModelCode1
TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change AwarenessCode1
W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecastingCode1
Bayesian Prediction of Future Street Scenes using Synthetic LikelihoodsCode0
Short-term daily precipitation forecasting with seasonally-integrated autoencoderCode0
Learning Robust Precipitation Forecaster by Temporal Frame InterpolationCode0
Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability EstimationCode0
Localized Weather Prediction Using Kolmogorov-Arnold Network-Based Models and Deep RNNsCode0
Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal DynamicsCode0
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery0
Rain-Code Fusion : Code-to-code ConvLSTM Forecasting Spatiotemporal Precipitation0
RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hours0
BiDepth Multimodal Neural Network: Bidirectional Depth Deep Learning Architecture for Spatial-Temporal Prediction0
Interpretable AI-Driven Discovery of Terrain-Precipitation Relationships for Enhanced Climate Insights0
Deep learning for precipitation nowcasting: A survey from the perspective of time series forecasting0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PreDiffCSI-pool160.62Unverified