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 351–375 of 420 papers

TitleStatusHype
HEAL-ViT: Vision Transformers on a spherical mesh for medium-range weather forecasting—0
Hierarchical Modeling of Seed Variety Yields and Decision Making for Future Planting Plans—0
HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting—0
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model—0
Identification of synoptic weather types over Taiwan area with multiple classifiers—0
Ensemble data assimilation to diagnose AI-based weather prediction model: A case with ClimaX version 0.3.1—0
Intermediate and Future Frame Prediction of Geostationary Satellite Imagery With Warp and Refine Network—0
Interpretable and Scalable Graphical Models for Complex Spatio-temporal Processes—0
Inter-Series Transformer: Attending to Products in Time Series Forecasting—0
Is AI Robust Enough for Scientific Research?—0
Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models—0
Is That Rain? Understanding Effects on Visual Odometry Performance for Autonomous UAVs and Efficient DNN-based Rain Classification at the Edge—0
Joint Retrieval of Cloud properties using Attention-based Deep Learning Models—0
Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling—0
Knowledge distillation with error-correcting transfer learning for wind power prediction—0
Kunyu: A High-Performing Global Weather Model Beyond Regression Losses—0
Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data—0
Leadsee-Precip: A Deep Learning Diagnostic Model for Precipitation—0
Learning and Current Prediction of PMSM Drive via Differential Neural Networks—0
Learning to forecast diagnostic parameters using pre-trained weather embedding—0
LE-PDE++: Mamba for accelerating PDEs Simulations—0
Less is more: a new machine-learning methodology for spatiotemporal systems—0
LightWeather: Harnessing Absolute Positional Encoding to Efficient and Scalable Global Weather Forecasting—0
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations—0
Loss-Controlling Calibration for Predictive Models—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