b4d8d67825
NASA POWER (history) and MET Norway (forecast) carry no wind gusts, but gust is a graded metric. This adds data/meteostat.py, which finds the nearest Meteostat station to a cell and reads its daily peak gust (wpgt) from the keyless gzipped bulk endpoints, filling the gust column on the NASA POWER history frame. Where no station is within ~100 km it estimates from sustained wind (wind * GUST_FACTOR). Bulk files (station list + per-station daily) are cached on disk so steady-state network IO is near zero, and any lookup/fetch failure degrades to pure estimation so a history fetch never fails. A constant estimate factor makes an estimated gust redundant with wind, so real signal comes only where a station backs it. Activates once NASA POWER becomes the primary history source; Open-Meteo already carries its own gusts. New history_gust / meteostat_stations metrics phases map to the meteostat source. |
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| .. | ||
| __init__.py | ||
| cities.py | ||
| city_events.py | ||
| climate.py | ||
| climate_store.py | ||
| grading.py | ||
| grid.py | ||
| meteostat.py | ||
| places.py | ||
| scoring.py | ||
| store.py | ||