Temperature Forecast API v2

Seoul-region bias-correction dataset — 7,750 records, 25 stations, 2013-06-30 → 2017-08-30.

Data endpoints

GET/stations — list all station IDs with coordinates & elevation

GET/stations/{id}/metadata — lat, lon, DEM, slope, solar radiation for one station

GET/stations/{id}/bias — per-station LDAPS model bias & RMSE vs observed temperature

GET/records — query records with filters

Param	Example	Description
`station`	1	Filter by station
`year`	2015	Filter by year
`month`	7	Filter by month (6, 7, or 8)
`date_from`	2015-06-01	Start date (inclusive)
`date_to`	2015-08-31	End date (inclusive)
`tmax_min`	35	Minimum Present_Tmax (heat events)
`tmax_max`	25	Maximum Present_Tmax
`rain_only`	true	Only days with any precipitation
`limit`	100	Max rows (default 100, max 1000)
`offset`	0	Pagination offset

GET/forecast/{station}/{date} — next-day Tmax/Tmin forecast for a station on a given date
Example: /forecast/1/2015-06-01

GET/date/{date} — cross-station snapshot: all 25 stations on one date
Example: /date/2016-08-01

GET/summary — per-station averages & LDAPS RMSE. Add ?year=2015 to scope by year.

GET/health — data quality report (null counts, consistency checks, load stats)