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 151–200 of 420 papers

TitleStatusHype
Sheaf HyperNetworks for Personalized Federated Learning—0
SFANet: Spatial-Frequency Attention Network for Weather Forecasting—0
ArchesWeather: An efficient AI weather forecasting model at 1.5° resolutionCode1
TimeMixer: Decomposable Multiscale Mixing for Time Series ForecastingCode5
Extreme Solar Flare Prediction Using Residual Networks with HMI Magnetograms and Intensitygrams—0
Enhanced Spatiotemporal Prediction Using Physical-guided And Frequency-enhanced Recurrent Neural Networks—0
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid ModelingCode2
Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet—0
A Foundation Model for the Earth SystemCode3
CaFA: Global Weather Forecasting with Factorized Attention on SphereCode0
Decomposing weather forecasting into advection and convection with neural networks—0
EWMoE: An effective model for global weather forecasting with mixture-of-expertsCode1
FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting—0
CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational TransformerCode2
Prévisions météorologiques basées sur l'intelligence artificielle : une révolution peut en cacher une autre—0
Validating Deep Learning Weather Forecast Models on Recent High-Impact Extreme EventsCode0
FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation ModelCode0
SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series ForecastingCode3
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEsCode2
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
Aardvark weather: end-to-end data-driven weather forecasting—0
Global Vegetation Modeling with Pre-Trained Weather Transformers—0
Explainable Graph Neural Networks for Observation Impact Analysis in Atmospheric State Estimation—0
An ensemble of data-driven weather prediction models for operational sub-seasonal forecasting—0
Deep learning-based method for weather forecasting: A case study in Itoshima—0
Application of Tensorized Neural Networks for Cloud Classification—0
Uncertainty quantification for data-driven weather modelsCode1
KARINA: An Efficient Deep Learning Model for Global Weather ForecastCode1
STC-ViT: Spatio Temporal Continuous Vision Transformer for Weather Forecasting—0
CloudNine: Analyzing Meteorological Observation Impact on Weather Prediction Using Explainable Graph Neural Networks—0
HEAL-ViT: Vision Transformers on a spherical mesh for medium-range weather forecasting—0
Advancing Data-driven Weather Forecasting: Time-Sliding Data Augmentation of ERA5—0
Mamba-ND: Selective State Space Modeling for Multi-Dimensional DataCode2
Weather Prediction with Diffusion Guided by Realistic Forecast Processes—0
Denoising Diffusion Probabilistic Models in Six Simple Steps—0
Consistent Validation for Predictive Methods in Spatial SettingsCode0
Estimating Epistemic and Aleatoric Uncertainty with a Single ModelCode1
Comparative Evaluation of Weather Forecasting using Machine Learning Models—0
Efficient Subseasonal Weather Forecast using Teleconnection-informed Transformers—0
Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models—0
FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather ForecastingCode3
A Practical Probabilistic Benchmark for AI Weather ModelsCode3
VN-Net: Vision-Numerical Fusion Graph Convolutional Network for Sparse Spatio-Temporal Meteorological Forecasting—0
Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New MethodCode0
Agricultural Recommendation System based on Deep Learning: A Multivariate Weather Forecasting Approach—0
Next-Generation Simulation Illuminates Scientific Problems of Organised Complexity—0
GA-SmaAt-GNet: Generative Adversarial Small Attention GNet for Extreme Precipitation NowcastingCode1
Trade-off Between Dependence and Complexity for Nonparametric Learning -- an Empirical Process Approach—0
Data Assimilation using ERA5, ASOS, and the U-STN model for Weather Forecasting over the UKCode0
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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