Dev
Weather / Doppler Radar — Dev Tier
(3 scenes)Blind evaluation tier — no ground truth available.
What you get
Measurements (y), ideal forward operator (H), and spec ranges only.
How to use
Apply your pipeline from the Public tier. Use consistency as self-check.
What to submit
Reconstructed signals and corrected spec. Scored server-side.
Parameter Specifications
🔒
True spec hidden — estimate parameters from spec ranges below.
| Parameter | Spec Range | Unit |
|---|---|---|
| calibration_bias | -0.24 – 0.36 | dBZ |
| beam_elevation_error | -0.048 – 0.072 | deg |
| attenuation_correction | 0.976 – 1.036 | - |
| ground_clutter_leakage | -0.012 – 0.018 | - |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | Earthformer + gradient | 0.698 | 28.4 | 0.889 | 0.79 | ✓ Certified | Gao et al., NeurIPS 2022 |
| 2 | CLEAN-AP + gradient | 0.616 | 23.61 | 0.754 | 0.89 | ✓ Certified | Torres & Zrnic, IEEE TGRS 1999 |
| 3 | RainNet + gradient | 0.601 | 23.33 | 0.744 | 0.85 | ✓ Certified | Ayzel et al., GMD 2020 |
| 4 | Pulse-Pair Doppler + gradient | 0.544 | 21.27 | 0.658 | 0.84 | ✓ Certified | Zrnic, IEEE TAES 1977 |
Visible Data Fields
y
H_ideal
spec_ranges
Dataset
Format: HDF5
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%