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Author	SHA1	Message	Date
Graham McIntire	51e390959c	Add dialyzer specs and types across the codebase 277 @spec/@type annotations added to 58 files covering all public APIs: contexts (propagation, radio, weather, terrain, beacons, commercial), GRIB2 decoders, terrain analysis, duct detection, rain scatter, CSV/ADIF import, weather clients, and all Ecto schemas. Dialyzer passes with 0 errors.	2026-04-12 08:55:04 -05:00
Graham McIntire	e7a7ae073d	Phase 9.3, 9.4, and Phase 3 NEXRAD pipeline Task 9.3 - Weight recalibration via gradient descent: - Recalibrator module fits logistic regression weights using Nx - Trains on QSO positives vs random baseline negatives - Cross-validates by month, normalizes weights to sum to 1.0 - Mix task: mix recalibrate_scorer --sample 5000 --epochs 2000 Task 9.4 - Side-by-side scorer comparison: - ScorerDiff.compare/3 re-scores grid with old vs new weights - Reports mean diff, regressions, improvements, per-band breakdown - Mix task: mix scorer_diff --new-weights '{...}' Phase 3 - NEXRAD ingestion pipeline: - NexradClient fetches IEM n0q composite PNGs, extracts per-point box statistics (mean/max dBZ, texture variance) - NexradObservation schema with unique (lat, lon, observed_at) - NexradWorker on :nexrad queue for background processing - nexrad_texture backtest feature in Features module - mix nexrad_backfill --limit 200 All tasks added to AdminTaskWorker and Release for production use. 1116 tests, 0 failures.	2026-04-10 12:48:36 -05:00
Graham McIntire	a840cb9629	Phase 5: Frontal geometry detection via Thermal Front Parameter FrontalAnalysis module (Weather.FrontalAnalysis): - detect_fronts/3 computes the Thermal Front Parameter (TFP) from 2D grids of surface temperature and pressure using Nx vectorized ops. TFP = -nabla\|nabla(theta)\| . nabla(theta)/\|nabla(theta)\|. Most negative values mark cold fronts. - central_gradient/1 for 2D finite differences with edge handling - nearest_front/3 finds closest front point with distance and bearing - path_front_angle/2 computes angle between a QSO path and the front (0 = parallel = good, 90 = crosses = dead) Backtest feature stubs for distance_to_front and parallel_to_front (return nil until the pipeline caches per-cell frontal features from the hourly HRRR grid run). The FrontalAnalysis module itself is tested and ready for integration. NEXRAD spike docs also included in this commit.	2026-04-10 08:56:44 -05:00

Author

SHA1

Message

Date

Graham McIntire

51e390959c

Add dialyzer specs and types across the codebase

277 @spec/@type annotations added to 58 files covering all public
APIs: contexts (propagation, radio, weather, terrain, beacons,
commercial), GRIB2 decoders, terrain analysis, duct detection,
rain scatter, CSV/ADIF import, weather clients, and all Ecto
schemas. Dialyzer passes with 0 errors.

2026-04-12 08:55:04 -05:00

Graham McIntire

e7a7ae073d

Phase 9.3, 9.4, and Phase 3 NEXRAD pipeline

Task 9.3 - Weight recalibration via gradient descent:
- Recalibrator module fits logistic regression weights using Nx
- Trains on QSO positives vs random baseline negatives
- Cross-validates by month, normalizes weights to sum to 1.0
- Mix task: mix recalibrate_scorer --sample 5000 --epochs 2000

Task 9.4 - Side-by-side scorer comparison:
- ScorerDiff.compare/3 re-scores grid with old vs new weights
- Reports mean diff, regressions, improvements, per-band breakdown
- Mix task: mix scorer_diff --new-weights '{...}'

Phase 3 - NEXRAD ingestion pipeline:
- NexradClient fetches IEM n0q composite PNGs, extracts per-point
  box statistics (mean/max dBZ, texture variance)
- NexradObservation schema with unique (lat, lon, observed_at)
- NexradWorker on :nexrad queue for background processing
- nexrad_texture backtest feature in Features module
- mix nexrad_backfill --limit 200

All tasks added to AdminTaskWorker and Release for production use.
1116 tests, 0 failures.

2026-04-10 12:48:36 -05:00

Graham McIntire

a840cb9629

Phase 5: Frontal geometry detection via Thermal Front Parameter

FrontalAnalysis module (Weather.FrontalAnalysis):
- detect_fronts/3 computes the Thermal Front Parameter (TFP) from
  2D grids of surface temperature and pressure using Nx vectorized
  ops. TFP = -nabla|nabla(theta)| . nabla(theta)/|nabla(theta)|.
  Most negative values mark cold fronts.
- central_gradient/1 for 2D finite differences with edge handling
- nearest_front/3 finds closest front point with distance and bearing
- path_front_angle/2 computes angle between a QSO path and the
  front (0 = parallel = good, 90 = crosses = dead)

Backtest feature stubs for distance_to_front and parallel_to_front
(return nil until the pipeline caches per-cell frontal features from
the hourly HRRR grid run). The FrontalAnalysis module itself is
tested and ready for integration.

NEXRAD spike docs also included in this commit.

2026-04-10 08:56:44 -05:00

3 commits