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 151–175 of 420 papers

TitleStatusHype
Automating Turbulence Modeling by Multi-Agent Reinforcement Learning—0
Agricultural Recommendation System based on Deep Learning: A Multivariate Weather Forecasting Approach—0
Deep learning-based method for weather forecasting: A case study in Itoshima—0
Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems—0
Automatic Data Registration of Geostationary Payloads for Meteorological Applications at ISRO—0
GNSS Radio Occultation on Aerial Platforms with Commercial Off-The-Shelf Receivers—0
Decomposing weather forecasting into advection and convection with neural networks—0
Attention Mamba: Time Series Modeling with Adaptive Pooling Acceleration and Receptive Field Enhancements—0
DaYu: Data-Driven Model for Geostationary Satellite Observed Cloud Images Forecasting—0
A generic self-supervised learning (SSL) framework for representation learning from spectra-spatial feature of unlabeled remote sensing imagery—0
Rethinking Evaluation Metric for Probability Estimation Models Using Esports Data—0
Global Vegetation Modeling with Pre-Trained Weather Transformers—0
Data-driven Mesoscale Weather Forecasting Combining Swin-Unet and Diffusion Models—0
Data-Centric Epidemic Forecasting: A Survey—0
A station-data-based model residual machine learning method for fine-grained meteorological grid prediction—0
Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet—0
A Spatial-temporal Deep Probabilistic Diffusion Model for Reliable Hail Nowcasting with Radar Echo Extrapolation—0
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts—0
Global spatio-temporal downscaling of ERA5 precipitation through generative AI—0
D3FL: Data Distribution and Detrending for Robust Federated Learning in Non-linear Time-series Data—0
A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics—0
ARFA: An Asymmetric Receptive Field Autoencoder Model for Spatiotemporal Prediction—0
A framework for IoT-Enabled Smart Agriculture—0
A Real-time Multimodal Transformer Neural Network-powered Wildfire Forecasting System—0
CoNO: Complex Neural Operator for Continuous Dynamical Systems—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