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Dewpoint Prediction on MADIS 2023 (test)

0.7566Dewpoint RMSE (1h)Transformer
0.6441.404052.16412.92415Oct 16, 2024

Evaluation results

MethodLinks
TransformerExternalDataset=HRRR-F2024.100.75661.16581.39031.68451.85061.97272.42973.51424.40562.13
TransformerExternalDataset=HRRR-A2024.100.76341.02561.30411.48091.61621.65221.71291.78411.82971.4632
TransformerExternalDataset=HRRR-A2024.100.76341.02561.30411.48091.61621.65221.71291.78411.82971.4632
Transformer2024.100.77211.17711.73592.37182.67633.43173.90424.71055.0572.8707
TransformerExternalDataset=ERA52024.100.7821.10031.37151.61321.69451.75531.80991.88211.91151.5467
Persistence2024.100.78341.2742.00213.00993.69884.35914.82315.85316.10533.5454
MLP2024.100.79191.24831.87652.77533.37753.97714.39935.08615.38323.2128
MLPExternalDataset=HRRR-A2024.101.37891.65382.02592.49972.71842.47922.46572.49132.79952.2792
MLPExternalDataset=ERA52024.101.42671.65211.98112.53292.91912.7482.8062.77172.58462.3802
GNN2024.101.42781.82892.04232.59042.99363.47553.98154.81235.33363.1651
MLPExternalDataset=HRRR-F2024.101.43842.03392.00952.55922.71562.88362.97833.65114.51182.7535
GNNExternalDataset=ERA52024.101.46161.77832.21882.44192.79462.63652.80013.00512.48182.4021
GNNExternalDataset=HRRR-F2024.101.47171.82742.68242.39983.00362.7713.02273.76694.45722.8225
GNNExternalDataset=HRRR-A2024.101.70711.62151.94722.44142.74912.65513.01252.99332.65842.4206
InterpolationExternalDataset=HRRR-A2024.103.49963.49963.49963.49963.49963.49963.49963.49963.49963.4996
InterpolationExternalDataset=ERA52024.103.55493.55493.55493.55493.55493.55493.55493.55493.55493.5549
InterpolationExternalDataset=HRRR-F2024.103.57163.59263.62433.67743.71373.7326———3.652