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Precipitation Forecasting

Papers

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Showing 1–36 of 36 papers

TitleStatusHype
Localized Weather Prediction Using Kolmogorov-Arnold Network-Based Models and Deep RNNsCode0
RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hours—0
BiDepth Multimodal Neural Network: Bidirectional Depth Deep Learning Architecture for Spatial-Temporal Prediction—0
Skillful High-Resolution Ensemble Precipitation Forecasting with an Integrated Deep Learning Framework—0
Analogue Forecast System for Daily Precipitation Prediction Using Autoencoder Feature Extraction: Application in Hong Kong—0
Data-driven Precipitation Nowcasting Using Satellite ImageryCode1
Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability EstimationCode0
TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change AwarenessCode1
Precipitation Nowcasting Using Diffusion Transformer with Causal Attention—0
STAA: Spatio-Temporal Alignment Attention for Short-Term Precipitation Forecasting—0
Deep learning for precipitation nowcasting: A survey from the perspective of time series forecasting—0
SRNDiff: Short-term Rainfall Nowcasting with Condition Diffusion ModelCode1
Graph Dual-stream Convolutional Attention Fusion for Precipitation NowcastingCode1
Short-term Precipitation Forecasting in The Netherlands: An Application of Convolutional LSTM neural networks to weather radar dataCode1
PAUNet: Precipitation Attention-based U-Net for rain prediction from satellite radiance data—0
Learning Robust Precipitation Forecaster by Temporal Frame InterpolationCode0
Efficient Baseline for Quantitative Precipitation Forecasting in Weather4cast 2023—0
PostRainBench: A comprehensive benchmark and a new model for precipitation forecastingCode1
Interpretable AI-Driven Discovery of Terrain-Precipitation Relationships for Enhanced Climate Insights—0
PreDiff: Precipitation Nowcasting with Latent Diffusion ModelsCode1
W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecastingCode1
Koopman neural operator as a mesh-free solver of non-linear partial differential equationsCode2
Generative Modeling of High-resolution Global Precipitation Forecasts—0
Adaptive Bias Correction for Improved Subseasonal ForecastingCode1
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather PredictionCode1
Multi-model Ensemble Analysis with Neural Network Gaussian Processes—0
Extreme precipitation forecasting using attention augmented convolutions—0
Deep Probability Estimation—0
Skillful Twelve Hour Precipitation Forecasts using Large Context Neural NetworksCode1
Short-term daily precipitation forecasting with seasonally-integrated autoencoderCode0
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery—0
Rain-Code Fusion : Code-to-code ConvLSTM Forecasting Spatiotemporal Precipitation—0
Hybrid Scheme of Kinematic Analysis and Lagrangian Koopman Operator Analysis for Short-term Precipitation Forecasting—0
MetNet: A Neural Weather Model for Precipitation ForecastingCode1
Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal DynamicsCode0
Bayesian Prediction of Future Street Scenes using Synthetic LikelihoodsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PreDiffCSI-pool160.62—Unverified