Downscaling on WeatherBench ERA5 5.625° to 1.40625°
0.906T2m RMSEFull-Tuning
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Full-TuningTrainable Params (M)=1239.942025.09 | 0.906 | 0.002 | 0.882 | 0 | 0.884 | -0.001 | 0.836 | 0 | 35.821 | 0.314 | |
| WeatherPEFTTrainable Params (M)=52.472025.09 | 0.916 | 0 | 0.873 | -0.001 | 0.875 | -0.002 | 0.834 | -0.002 | 35.076 | 0.504 | |
| WeatherPEFTTrainable Params (M)=3.482025.09 | 1.119 | 0.003 | 1.057 | 0 | 1.051 | -0.001 | 0.95 | 0.004 | 44.922 | 0.413 | |
| LoRATrainable Params (M)=57.802025.09 | 1.131 | 0.004 | 1.069 | 0.001 | 1.06 | 0.001 | 0.961 | 0.004 | 45.914 | 1.11 | |
| SFAS OnlyTrainable Params (M)=1.262025.09 | 1.161 | 0.01 | 1.09 | -0.001 | 1.081 | -0.002 | 0.973 | 0.002 | 47 | 0.848 | |
| SSFTrainable Params (M)=3.922025.09 | 1.18 | 0.009 | 1.106 | -0.001 | 1.094 | -0.001 | 0.987 | 0.002 | 48.342 | 0.936 | |
| TADP OnlyTrainable Params (M)=2.222025.09 | 1.183 | 0.005 | 1.118 | 0 | 1.105 | -0.001 | 0.996 | 0.003 | 49.809 | 1.491 | |
| LoRATrainable Params (M)=3.632025.09 | 1.19 | 0.006 | 1.13 | 0 | 1.118 | -0.002 | 0.998 | -0.001 | 50.421 | 0.084 | |
| AuroraTrainable Params (M)=1256.272025.09 | 1.227 | 0.006 | 1.126 | 0.006 | 1.134 | -0.012 | 1.192 | 0.002 | 99.764 | -0.996 | |
| DoRATrainable Params (M)=3.752025.09 | 1.228 | 0.01 | 1.14 | 0.001 | 1.12 | -0.001 | 1.024 | 0 | 50.061 | 0.984 | |
| APromptTrainable Params (M)=4.342025.09 | 1.228 | 0.01 | 1.151 | -0.002 | 1.132 | 0 | 1.025 | 0.008 | 51.587 | 1.099 | |
| DoRATrainable Params (M)=57.922025.09 | 1.236 | 0.009 | 1.147 | -0.002 | 1.126 | -0.001 | 1.03 | -0.001 | 50.405 | 1.289 | |
| VPTTrainable Params (M)=3.752025.09 | 1.241 | 0.008 | 1.163 | -0.002 | 1.144 | 0.001 | 1.031 | 0.005 | 52.453 | 0.998 | |
| Bias-TuningTrainable Params (M)=0.782025.09 | 1.242 | 0.013 | 1.168 | -0.003 | 1.148 | 0 | 1.026 | 0.004 | 53.049 | 0.108 | |
| Linear-ProbingTrainable Params (M)=0.002025.09 | 1.291 | 0.014 | 1.227 | -0.002 | 1.198 | 0.003 | 1.078 | 0.002 | 58.085 | 0.598 | |
| AdaptFormerTrainable Params (M)=61.682025.09 | 1.59 | -0.007 | 1.376 | -0.012 | 1.331 | -0.003 | 1.282 | 0.006 | 81.465 | 1.739 | |
| AdaptFormerTrainable Params (M)=4.642025.09 | 1.737 | -0.065 | 1.505 | -0.05 | 1.412 | 0.002 | 1.429 | -0.083 | 106.667 | -21.029 | |
| U-NetTrainable Params (M)=20.102025.09 | 1.915 | -0.111 | 1.174 | 0.031 | 1.152 | -0.033 | 1.773 | -0.059 | 120.045 | -11.118 | |
| FourCastNetTrainable Params (M)=63.532025.09 | 2.036 | -0.016 | 1.535 | -0.001 | 1.492 | -0.003 | 1.494 | -0.032 | 160.271 | -4.184 | |
| ResNetTrainable Params (M)=34.782025.09 | 2.164 | 0.095 | 1.562 | -0.087 | 1.513 | 0.013 | 1.513 | -0.067 | 105.101 | 10.229 | |
| BilinearTrainable Params (M)=0.002025.09 | 2.284 | 0.001 | 2.118 | -0.038 | 2.176 | 0.038 | 1.439 | 0.007 | 149.662 | -0.053 | |
| ClimaXTrainable Params (M)=116.652025.09 | 2.512 | -0.043 | 1.691 | 0.005 | 1.649 | 0.009 | 2 | -0.102 | 163.806 | -12.55 | |
| ViTTrainable Params (M)=315.432025.09 | 2.972 | 0.018 | 1.931 | -0.024 | 1.837 | 0.006 | 2.143 | -0.218 | 201.027 | -27.9 | |
| NearestTrainable Params (M)=0.002025.09 | 3.007 | 0.001 | 2.695 | -0.039 | 2.717 | 0.038 | 2.01 | 0.007 | 295.493 | -0.054 |