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
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation—0
A generic self-supervised learning (SSL) framework for representation learning from spectra-spatial feature of unlabeled remote sensing imagery—0
SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models—0
FuXi: A cascade machine learning forecasting system for 15-day global weather forecastCode1
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive LearningCode0
Towards Stability of Autoregressive Neural OperatorsCode1
Scaling Spherical CNNsCode1
SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting—0
Over-the-Air Federated Learning in Satellite systems—0
Graph Neural Network for spatiotemporal data: methods and applications—0
Parity CalibrationCode0
Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting—0
Federated Prompt Learning for Weather Foundation Models on DevicesCode1
Learning Neural PDE Solvers with Parameter-Guided Channel AttentionCode3
W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecastingCode1
Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solutionCode0
β-Variational autoencoders and transformers for reduced-order modelling of fluid flows—0
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systemsCode0
A Joint Model and Data Driven Method for Distributed Estimation—0
Implicit Stacked Autoregressive Model for Video PredictionCode1
Intermediate and Future Frame Prediction of Geostationary Satellite Imagery With Warp and Refine Network—0
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather StationsCode1
Quantum algorithms applied to satellite mission planning for Earth observation—0
Climate modeling with neural advection–diffusion equationCode1
Maximising Weather Forecasting Accuracy through the Utilisation of Graph Neural Networks and Dynamic GNNs—0
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