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 126–150 of 420 papers

TitleStatusHype
Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural OperatorsCode1
Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural OperatorsCode1
Machine Learning for Predicting Chaotic Systems—0
Efficiently improving key weather variables forecasting by performing the guided iterative prediction in latent spaceCode0
Super Resolution for Renewable Energy Resource Data With Wind From Reanalysis Data (Sup3rWind) and Application to Ukraine—0
Ensemble data assimilation to diagnose AI-based weather prediction model: A case with ClimaX version 0.3.1—0
A Multi-Level Hierarchical Framework for the Classification of Weather Conditions and Hazard Prediction—0
Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric DynamicsCode1
Is That Rain? Understanding Effects on Visual Odometry Performance for Autonomous UAVs and Efficient DNN-based Rain Classification at the Edge—0
Global atmospheric data assimilation with multi-modal masked autoencoders—0
A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics—0
TriQXNet: Forecasting Dst Index from Solar Wind Data Using an Interpretable Parallel Classical-Quantum Framework with Uncertainty Quantification—0
Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative RegularizationCode1
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges—0
VarteX: Enhancing Weather Forecast through Distributed Variable Representation—0
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation LearningCode2
Probabilistic Emulation of a Global Climate Model with Spherical DYffusionCode1
Neural Incremental Data Assimilation—0
Valid Error Bars for Neural Weather Models using Conformal Prediction—0
How far are today's time-series models from real-world weather forecasting applications?Code2
Solarcast-ML: Per Node GraphCast Extension for Solar Energy Production—0
SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State SpacesCode1
Probabilistic Weather Forecasting with Hierarchical Graph Neural NetworksCode3
ACE Metric: Advection and Convection Evaluation for Accurate Weather Forecasting—0
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation—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