Public

Weather / Doppler Radar — Public Tier

(3 scenes)

Full-access development tier with all data visible.

What you get

Measurements (y), ideal forward operator (H), spec ranges, ground truth (x_true), and true mismatch spec.

How to use

Load HDF5 → compare reconstruction vs x_true → check consistency → iterate.

What to submit

Reconstructed signals (x_hat) and corrected spec as HDF5.

Parameter Specifications

✓

True spec visible — use these exact values for Scenario III oracle reconstruction.

Parameter Spec Range True Value Unit
calibration_bias -0.2 – 0.4 0.1 dBZ
beam_elevation_error -0.04 – 0.08 0.02 deg
attenuation_correction 0.98 – 1.04 1.01 -
ground_clutter_leakage -0.01 – 0.02 0.005 -

InverseNet Baseline Scores

Method: CPU_baseline — Mismatch parameter: nominal

Scenario I (Ideal)

6.10 dB

SSIM 0.0513

Scenario II (Mismatch)

6.10 dB

SSIM 0.0506

Scenario III (Oracle)

9.04 dB

SSIM 0.5406

Per-scene breakdown (4 scenes)
Scene PSNR I SSIM I PSNR II SSIM II PSNR III SSIM III
scene_00 6.10 0.0509 6.10 0.0505 9.04 0.5407
scene_01 6.10 0.0513 6.10 0.0507 9.04 0.5407
scene_02 6.10 0.0517 6.10 0.0507 9.04 0.5406
scene_03 6.10 0.0515 6.10 0.0506 9.04 0.5406

Public Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 Earthformer + gradient 0.764 31.37 0.935 0.88 ✓ Certified Gao et al., NeurIPS 2022
2 RainNet + gradient 0.761 30.49 0.924 0.93 ✓ Certified Ayzel et al., GMD 2020
3 CLEAN-AP + gradient 0.644 24.62 0.79 0.91 ✓ Certified Torres & Zrnic, IEEE TGRS 1999
4 Pulse-Pair Doppler + gradient 0.554 21.13 0.652 0.91 ✓ Certified Zrnic, IEEE TAES 1977

Visible Data Fields

y H_ideal spec_ranges x_true true_spec

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%
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