weather_along_route

ai.mapmap/mapmap · Verify this server

Forecast weather along a route, each sample read for the hour you actually reach it rather than the weather right now. Pass the route's `shape` (an encoded polyline6, the `route` tool's geometry_polyline6), optional `depart_at` (RFC 3339, default now), the route's `duration_s` (from `route`; omitted, an 80 km/h average is assumed and `duration_source` says so) and optional `sample_interval_m` (default 25,000, 5,000 to 100,000, at most 40 samples). Each sample carries its ETA, temperature, rain, snowfall, precipitation type and probability, wind and gust speed, visibility, the WMO weather code and `severe` (thunderstorm and heavy precipitation codes only). It is a FORECAST, not an observation: read on a 0.05 degree grid (about 5.5 km) at the nearest hour, up to 16 days ahead, and samples past that horizon or without data come back `available: false` with a reason, never painted dry. `summary` is one sentence (where rain or snow starts and for how far, the strongest gust, samples without data) and always ends by saying it is advisory, never a routing guarantee: keep that qualifier when you pass it on. Requires the MapMap gateway; a deployment without a weather source answers a clear error. Display the returned `attribution` with the forecast, linked to `attribution_url`, with `licence_url` (CC BY 4.0) linked; `derived_fields` names the sample fields MapMap derives rather than Open-Meteo supplies.