Commit graph

4 commits

Author SHA1 Message Date
30c1018400
Extend skew-T plot to cover the full troposphere
Historical contacts showed a skew-T log-P diagram that stopped at 700 mb
because HrrrClient and Era5Client only fetched pressure-level data down
to the top of the boundary layer. The chart canvas already ran up to
100 mb, so the trace clipped mid-atmosphere.

Two complementary fixes:

1. Extend @pressure_levels in HrrrClient and Era5Client with
   650/600/550/500/450/400/350/300/250/200/150/100 mb so new fetches
   cover the full troposphere + lower stratosphere.

2. Prefer the native hybrid-sigma profile for the contact-detail
   skew-T when one has been backfilled for the contact's hour. The
   native profile already stores all 50 hybrid levels up to ~19 km,
   so historical contacts covered by the native backfill get a full
   trace without re-hitting S3. A new HrrrNativeProfile.to_skew_t_profile/1
   converts the parallel arrays into the %{"pres","tmpc","dwpc","hght"}
   list shape the renderer expects, deriving dewpoint from SPFH via the
   Magnus inverse. Weather.find_nearest_native_profile/3 mirrors
   find_nearest_hrrr/3 for the lookup.
2026-04-14 17:25:58 -05:00
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
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
900685aa06 Phase 1 tasks 1.1-1.5: HRRR native hybrid-sigma ingestion
- Spike docs at docs/research/hrrr_native_levels.md confirming files
  are on AWS S3 for 5+ years, 50 hybrid levels, and include TKE and
  SPFH needed for Phase 2 turbulence features. Architectural finding:
  per-point on-demand fetching is impractical (~530 MB/file), so
  the ingestion worker batches per (date, hour) instead.
- hrrr_native_profiles schema: arrays per level plus cached surface
  scalars and placeholder columns for Phase 2/4 derived fields.
  Strictly additive — the existing hrrr_profiles table is untouched.
- HrrrNativeClient: pure URL/message-list helpers, build_native_profile/1
  that turns a parsed wgrib2 map into the schema shape (TDD'd).
- Exposed HrrrClient.download_grib_ranges/2 so the native client
  reuses the existing parallel byte-range download + disk cache.
- HrrrNativeGridWorker: Oban worker keyed on {year, month, day, hour},
  unique at :infinity, pulls distinct (lat, lon) points from contacts
  in the ±30 min window, downloads the native grib2, extracts per
  point, bulk-upserts.
- mix hrrr_native_backfill --limit N enqueues the top-N hours by
  contact count.

Phase 1 gate still pending Task 1.6 (sanity-check backtest after
live data lands).
2026-04-09 16:23:51 -05:00