- Stream profile storage and score upsert instead of materializing
full 20k+ item lists (propagation_grid_worker, propagation.ex)
- GC between forecast hours and store/compute phases to reclaim
~400 MB of grid data between steps
- Single-pass field extraction in scorer.ex path_integrated_conditions
instead of 6 separate Enum traversals
- Eliminate intermediate merged map in fetch_grid by combining
merge + profile build into one pipe
- Fix UUID bug: bingenerate → generate in native grid worker
(same issue previously fixed in nexrad_worker)
Add Propagation.Region module with 8 CONUS climate zones (gulf_coast,
southeast, southern_plains, corn_belt, northeast, desert_southwest,
pacific_northwest, mountain_west) and per-region monthly seasonal
adjustment multipliers.
The scorer's score_season now takes lat/lon and applies a regional
multiplier from Region.seasonal_adjustment on top of the band's
seasonal_base + seasonal_adj. Gulf coast August gets a 1.15x boost
(drier, better for ducting) while Corn Belt August gets a 0.80x
penalty (corn evapotranspiration = miserable dewpoints).
Adjustments are hand-tuned starting points from the meteorologist's
qualitative guidance. Phase 9 recalibration will refine them from
backtest data.
Contact scoring now uses all HRRR profiles along the path instead of
just pos1. Aggregation strategy:
- Best along path for beneficial factors (refractivity, pressure)
- Worst along path for harmful factors (rain, wind)
- Average for neutral factors (temp, dewpoint, PWAT, BL depth)
Scorer.path_integrated_conditions/2 merges multiple profiles into a
single conditions map. Falls back gracefully to single-profile scoring
when only one profile is available.
- Fix score_pressure crash on nil pressure_mb (coastal HRRR points)
- Set 10-min timeout on grid score upsert transaction (was :infinity)
- Single DELETE for prune_old_scores instead of N queries in a loop
- Remove dead load_hrrr_refractivity that loaded 95k rows into nil map
- Pass selected_time to point_detail to skip latest_valid_time sub-query
- Batch station existence checks (1 query per path point, not per station)
- Batch solar index upserts via insert_all in chunks of 500
- Batch backfill_distances via single UPDATE FROM VALUES statement
- Add is_grid_point boolean + partial index to hrrr_profiles (replaces
non-sargable modular arithmetic filter on every weather map query)
- Add partial index on contacts(qso_timestamp) WHERE pos1 IS NOT NULL
- Move backfill enqueue to Oban worker so UI returns immediately
Score time-of-day per grid point using longitude/15 solar offset instead of
hardcoded CST/CDT. Add PWAT as 10th scoring factor. Refine pressure thresholds.
Update ML model and training pipeline to use local solar time.
