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

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Showing 51–100 of 420 papers

TitleStatusHype
A Benchmark for AI-based Weather Data AssimilationCode1
Uncertainty Quantification of Surrogate Models using Conformal PredictionCode1
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
Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric DynamicsCode1
Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative RegularizationCode1
Probabilistic Emulation of a Global Climate Model with Spherical DYffusionCode1
SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State SpacesCode1
ArchesWeather: An efficient AI weather forecasting model at 1.5° resolutionCode1
EWMoE: An effective model for global weather forecasting with mixture-of-expertsCode1
Fuxi-DA: A Generalized Deep Learning Data Assimilation Framework for Assimilating Satellite ObservationsCode1
Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge ForecastingCode1
Uncertainty quantification for data-driven weather modelsCode1
KARINA: An Efficient Deep Learning Model for Global Weather ForecastCode1
Estimating Epistemic and Aleatoric Uncertainty with a Single ModelCode1
GA-SmaAt-GNet: Generative Adversarial Small Attention GNet for Extreme Precipitation NowcastingCode1
Graph Dual-stream Convolutional Attention Fusion for Precipitation NowcastingCode1
DiffDA: a Diffusion Model for Weather-scale Data AssimilationCode1
FourCastNeXt: Optimizing FourCastNet Training for Limited ComputeCode1
DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather ModelingCode1
Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEsCode1
Towards an end-to-end artificial intelligence driven global weather forecasting systemCode1
Scaling transformer neural networks for skillful and reliable medium-range weather forecastingCode1
Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization ApproachCode1
Deterministic Guidance Diffusion Model for Probabilistic Weather ForecastingCode1
Forecasting Tropical Cyclones with Cascaded Diffusion ModelsCode1
Precipitation nowcasting with generative diffusion modelsCode1
FuXi: A cascade machine learning forecasting system for 15-day global weather forecastCode1
Towards Stability of Autoregressive Neural OperatorsCode1
Scaling Spherical CNNsCode1
Federated Prompt Learning for Weather Foundation Models on DevicesCode1
W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecastingCode1
Implicit Stacked Autoregressive Model for Video PredictionCode1
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather StationsCode1
Climate modeling with neural advection–diffusion equationCode1
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological DataCode1
Physics-constrained deep learning postprocessing of temperature and humidityCode1
Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation NetworkCode1
PromptCast: A New Prompt-based Learning Paradigm for Time Series ForecastingCode1
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer ArchitecturesCode1
ENS-10: A Dataset For Post-Processing Ensemble Weather ForecastsCode1
Learning to Accelerate Partial Differential Equations via Latent Global EvolutionCode1
Methodology for forecasting and optimization in IEEE-CIS 3rd Technical ChallengeCode1
Probabilistic Forecasting with Generative Networks via Scoring Rule MinimizationCode1
Graph Neural Controlled Differential Equations for Traffic ForecastingCode1
More layers! End-to-end regression and uncertainty on tabular data with deep learningCode1
Skillful Twelve Hour Precipitation Forecasts using Large Context Neural NetworksCode1
Climate Modeling with Neural Diffusion EquationsCode1
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale TasksCode1
TENT: Tensorized Encoder Transformer for Temperature ForecastingCode1
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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