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