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Temperature Forecasting on set 2023 (test)

0.7709Error (1h)Multi-modal Transformer
0.7205961.0601481.39971.739252Oct 16, 2024

Evaluation results

MethodLinks
Multi-modal TransformerExternalDataset=HRRR-A2024.100.77090.99161.22611.31631.38521.36121.37751.4411.46851.2598
Multi-modal TransformerExternalDataset=ERA52024.100.7851.12931.40471.57251.58971.57751.63281.62261.67611.4434
Multi-modal TransformerExternalDataset=HRRR-F2024.100.7891.11461.41061.68051.771.80122.45413.32284.14142.0538
Multi-modal TransformerExternalDataset=-2024.100.84531.31041.97382.64152.97513.32253.68664.36594.56792.8543
MLPExternalDataset=-2024.100.85861.38212.16923.05833.43843.74973.98324.6834.8353.1286
PersistenceExternalDataset=-2024.101.12852.05313.5965.66266.46815.62924.30577.37895.38964.6235
MLPExternalDataset=HRRR-A2024.101.51941.94442.0542.41362.69022.07232.14442.04652.39712.1424
MLPExternalDataset=HRRR-F2024.101.56822.25662.17742.81832.76632.93233.08043.53884.20482.8159
GNNExternalDataset=-2024.101.67632.00392.42432.80273.31793.38183.90414.49255.06843.2302
InterpolationExternalDataset=HRRR-A2024.101.68241.68241.68241.68241.68241.68241.68241.68241.68241.6824
MLPExternalDataset=ERA52024.101.68481.77212.18472.67282.67782.54022.57012.5192.28492.3229
GNNExternalDataset=HRRR-A2024.101.70771.97052.05942.42642.70712.62593.03052.88712.4292.4271
GNNExternalDataset=ERA52024.101.75672.0912.21122.71392.80092.38162.58552.81812.20442.3959
InterpolationExternalDataset=HRRR-F2024.101.77061.83791.93562.04672.10332.1501———1.974
GNNExternalDataset=HRRR-F2024.101.77731.88392.87422.57632.85972.74913.08513.62594.18132.8459
InterpolationExternalDataset=ERA52024.102.02852.02852.02852.02852.02852.02852.02852.02852.02852.0285