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 276–300 of 420 papers

TitleStatusHype
ClimaX: A foundation model for weather and climateCode2
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological DataCode1
Interpretable and Scalable Graphical Models for Complex Spatio-temporal Processes—0
Loss-Controlling Calibration for Predictive Models—0
Conformal Loss-Controlling Prediction—0
GraphCast: Learning skillful medium-range global weather forecastingCode5
Physics-constrained deep learning postprocessing of temperature and humidityCode1
Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation NetworkCode1
Generative Modeling of High-resolution Global Precipitation Forecasts—0
DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting—0
Inference from Real-World Sparse Measurements—0
EarthNets: Empowering AI in Earth Observation—0
TimesNet: Temporal 2D-Variation Modeling for General Time Series AnalysisCode6
A case study of spatiotemporal forecasting techniques for weather forecastingCode0
PromptCast: A New Prompt-based Learning Paradigm for Time Series ForecastingCode1
Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems—0
Clifford Neural Layers for PDE ModelingCode2
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer ArchitecturesCode1
Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather ForecastingCode0
FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators—0
A Novel Transformer Network with Shifted Window Cross-Attention for Spatiotemporal Weather Forecasting—0
Distributed Stochastic Bandit Learning with Delayed Context Observation—0
Data-Centric Epidemic Forecasting: A Survey—0
Rain regime segmentation of Sentinel-1 observation learning from NEXRAD collocations with Convolution Neural Networks—0
Earthformer: Exploring Space-Time Transformers for Earth System ForecastingCode2
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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