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

Showing 326350 of 420 papers

TitleStatusHype
Graph Neural Controlled Differential Equations for Traffic ForecastingCode1
Deep Probability Estimation0
Quantum-Assisted Support Vector Regression0
Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation0
Skillful Twelve Hour Precipitation Forecasts using Large Context Neural NetworksCode1
Climate Modeling with Neural Diffusion EquationsCode1
A Variational U-Net for Weather ForecastingCode0
Time Series Classification Using Convolutional Neural Network On Imbalanced Datasets0
Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and CollaborationCode0
GNSS Radio Occultation on Aerial Platforms with Commercial Off-The-Shelf Receivers0
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale TasksCode1
DIT4BEARs Smart Roads InternshipCode0
TENT: Tensorized Encoder Transformer for Temperature ForecastingCode1
Online Learning with Optimism and DelayCode1
Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis DataCode0
Combining distribution-based neural networks to predict weather forecast probabilitiesCode0
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive LearningCode1
Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformersCode0
Variational Data Assimilation with a Learned Inverse Observation OperatorCode1
Accurate and Clear Precipitation Nowcasting with Consecutive Attention and Rain-map Discrimination0
Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural NetworksCode1
Efficient Reservoir Computing using Field Programmable Gate Array and Electro-optic Modulation0
Numerical Weather Forecasting using Convolutional-LSTM with Attention and Context Matcher MechanismsCode1
Discovering dependencies in complex physical systems using Neural Networks0
Conditional Local Convolution for Spatio-temporal Meteorological ForecastingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PhyDNetMSE4.82Unverified
2E3D-LSTMMSE4.17Unverified
3UNetMSE4.11Unverified
4RainformerMSE4.03Unverified
5PredRNNMSE3.9Unverified
6ConvLSTMMSE3.75Unverified
7EarthformerMSE3.7Unverified
8IAM4VPMSE2.94Unverified
#ModelMetricClaimedVerifiedStatus
1CatBoost with RMSEWithUncertaintyR-AUC MSE1.34Unverified
2SNN Ens U MT Np SpecFER-AUC MSE1.14Unverified