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Radar Nowcasting on SEVIR

75.1SSIMOmni-Weather
50.9257.197563.47569.7525May 15, 2025Jun 21, 2025Jul 28, 2025Sep 4, 2025Oct 11, 2025Nov 17, 2025Dec 25, 2025

Evaluation results

MethodLinks
Omni-Weatherthinking inference=true2025.1275.135.32.8642.154.20.0280.166————
Cascast2025.1274.638.42.7241.451.80.0310.207————
Omni-Weatherthinking inference=false2025.1274.638.42.6942.753.90.0260.179————
Diffcast2025.1273.937.52.4340.751.10.0330.235————
Earthformer2025.1272.938.91.9240.138.70.0370.322————
PredRNNTsample=0.15, N=-2025.1272.3835.53————0.270837.0241.5346.21—
ConvLSTMTsample=0.03, N=-2025.1272.1634.58————0.302534.1136.0744.67—
SimVPTsample=0.01, N=-2025.1272.0937.88————0.279338.0341.649.2—
STLDMTsample=0.51, N=202025.1271.8338.04————0.192946.6261.7850.24—
EarthformerTsample=0.02, N=-2025.1271.0235.56————0.325435.3338.3846.11—
DiffCastTsample=5.20, N=2502025.1269.7935.8————0.194845.5562.8147.51—
EarthformerMethod Type=Deterministic2025.0567.73——26.1729.1—0.414——30.7325.13
PhyDnetMethod Type=Deterministic2025.0567.64——26.8530.05—0.3785——31.2425.6
ConvGRUMethod Type=Deterministic2025.0565.32——25.5430.5—0.3766——28.3424.16
Earthformertype=deterministic, architecture=Transformer-based2025.1165.21——27.0430.46—0.4112——30.1625.19
STRPMMethod Type=Generative2025.0565.13——32.4349.59—0.2577——32.7725.12
PercpCasttype=cascaded2025.1164.29——39.4652.39—0.1997——40.5231.03
MAUMethod Type=Deterministic2025.0563.61——25.6628.61—0.3933——30.0424.63
DiffCastMethod Type=Generative2025.0563.54——41.2256.83—0.1812——40.3330.77
RectiCasttype=cascaded2025.1163.31——41.3958.06—0.1894——42.0132.69
DiffCasttype=cascaded2025.1163.05——39.8856.41—0.1836——40.2831.05
SimVPMethod Type=Deterministic2025.0563.04——28.4434.52—0.3914——33.6926.62
SimVPtype=deterministic, architecture=CNN-based2025.1162.91——30.1433.35—0.3909——35.4328.73
PreDiffTsample=73.09, N=10002025.1262.7932.76————0.221742.7160.9644.98—
CasCasttype=cascaded2025.1161.29——38.3654.32—0.1977——38.8930.41
ConvLSTMtype=deterministic, architecture=RNN-based2025.1160.67——29.0332.68—0.3928——34.1227.92
RainPro-2RMethod Type=Deterministic2025.0559.66——38.3441.71—0.2353——45.0135.24
LDCastTsample=4.26, N=502025.1257.7221.93————0.290628.9845.9829.95—
Predifftype=probabilistic, architecture=Latent Diffusion Model2025.1154.23——31.2442.11—0.2804——30.9623.77
MCVDMethod Type=Generative2025.0552.65——30.247.06—0.217——27.4321.48
PreDiffMethod Type=Generative2025.0551.85——30.4140.28—0.2851——29.8623.04