PM2.5 Prediction on EEA ground monitoring stations T+1 2022 (All Stations)
11.75RMSECRAN-PM
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| CRAN-PMModel Type=Neural model, Resolution=1 km, Number of Parameters=96M2026.03 | 11.75 | 4.84 | 0.78 | -0.86 | |
| SimVPModel Type=Neural model, Resolution=25 km, Number of Parameters=4.9M2026.03 | 11.91 | 4.97 | 0.7 | -1.14 | |
| EarthformerModel Type=Neural model, Resolution=25 km, Number of Parameters=61M2026.03 | 11.91 | 5.02 | 0.69 | -1.18 | |
| ConvLSTMModel Type=Neural model, Resolution=25 km, Number of Parameters=8.2M2026.03 | 11.94 | 4.96 | 0.68 | -1.14 | |
| ClimaXModel Type=Neural model, Resolution=25 km, Number of Parameters=57M2026.03 | 11.97 | 5.02 | 0.67 | -1.13 | |
| TopoFlowModel Type=Neural model, Resolution=25 km, Number of Parameters=61M2026.03 | 12.01 | 4.96 | 0.71 | -1.49 | |
| CAMSModel Type=Physical model2026.03 | 13.08 | 6.16 | 0.52 | -3.48 |