SOTAVerified

Weather Forecasting

Weather Forecasting is the prediction of future weather conditions such as precipitation, temperature, pressure and wind.

Source: MetNet: A Neural Weather Model for Precipitation Forecasting

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–300 of 420 papers

TitleStatusHype
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation—0
A Joint Model and Data Driven Method for Distributed Estimation—0
A Low Rank Weighted Graph Convolutional Approach to Weather Prediction—0
A Machine Learning Approach to Adaptive Covariance Localization—0
A Machine Learning-Ready Data Processing Tool for Near Real-Time Forecasting—0
A mixture of experts model for predicting persistent weather patterns—0
A Multi-Level Hierarchical Framework for the Classification of Weather Conditions and Hazard Prediction—0
A multi-scale loss formulation for learning a probabilistic model with proper score optimisation—0
A Multi-Scheme Ensemble Using Coopetitive Soft-Gating With Application to Power Forecasting for Renewable Energy Generation—0
An ensemble of data-driven weather prediction models for operational sub-seasonal forecasting—0
A Novel Transformer Network with Shifted Window Cross-Attention for Spatiotemporal Weather Forecasting—0
Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation—0
Application of Tensorized Neural Networks for Cloud Classification—0
A Real-time Multimodal Transformer Neural Network-powered Wildfire Forecasting System—0
ARFA: An Asymmetric Receptive Field Autoencoder Model for Spatiotemporal Prediction—0
A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics—0
A Spatial-temporal Deep Probabilistic Diffusion Model for Reliable Hail Nowcasting with Radar Echo Extrapolation—0
A station-data-based model residual machine learning method for fine-grained meteorological grid prediction—0
Attention Mamba: Time Series Modeling with Adaptive Pooling Acceleration and Receptive Field Enhancements—0
Automatic Data Registration of Geostationary Payloads for Meteorological Applications at ISRO—0
Automating Turbulence Modeling by Multi-Agent Reinforcement Learning—0
BARNN: A Bayesian Autoregressive and Recurrent Neural Network—0
Next-Generation Simulation Illuminates Scientific Problems of Organised Complexity—0
β-Variational autoencoders and transformers for reduced-order modelling of fluid flows—0
CA-MoE: Channel-Adapted MoE for Incremental Weather Forecasting—0
Causal machine learning for sustainable agroecosystems—0
Classi-Fly: Inferring Aircraft Categories from Open Data using Machine Learning—0
ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models—0
Climbing down Charney's ladder: Machine Learning and the post-Dennard era of computational climate science—0
CloudNine: Analyzing Meteorological Observation Impact on Weather Prediction Using Explainable Graph Neural Networks—0
CNCast: Leveraging 3D Swin Transformer and DiT for Enhanced Regional Weather Forecasting—0
CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems—0
Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems—0
Comparative Evaluation of Metaheuristic Algorithms for Hyperparameter Selection in Short-Term Weather Forecasting—0
Comparative Evaluation of Weather Forecasting using Machine Learning Models—0
Comparison between ARIMA and Deep Learning Models for Temperature Forecasting—0
Conformal Loss-Controlling Prediction—0
STC-ViT: Spatio Temporal Continuous Vision Transformer for Weather Forecasting—0
CoNO: Complex Neural Operator for Continuous Dynamical Systems—0
D3FL: Data Distribution and Detrending for Robust Federated Learning in Non-linear Time-series Data—0
Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet—0
Data-Centric Epidemic Forecasting: A Survey—0
Data-driven Mesoscale Weather Forecasting Combining Swin-Unet and Diffusion Models—0
DaYu: Data-Driven Model for Geostationary Satellite Observed Cloud Images Forecasting—0
Decomposing weather forecasting into advection and convection with neural networks—0
Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems—0
Deep learning-based method for weather forecasting: A case study in Itoshima—0
Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Data—0
Deep Learning Techniques in Extreme Weather Events: A Review—0
Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System—0
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All datasetsSEVIRShifts

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PhyDNetMSE4.82—Unverified
2E3D-LSTMMSE4.17—Unverified
3UNetMSE4.11—Unverified
4RainformerMSE4.03—Unverified
5PredRNNMSE3.9—Unverified
6ConvLSTMMSE3.75—Unverified
7EarthformerMSE3.7—Unverified
8IAM4VPMSE2.94—Unverified
#ModelMetricClaimedVerifiedStatus
1CatBoost with RMSEWithUncertaintyR-AUC MSE1.34—Unverified
2SNN Ens U MT Np SpecFER-AUC MSE1.14—Unverified