Service
Korea Meteorological Administration (KMA) weather provider via data.go.kr: short-term forecasts (단기예보/동네예보) for a KMA grid point from a specific announcement, ultra-short observations and ultra-short forecasts for the same grid points, plus forecast file version lookups.
98.54%30-day uptimeAvg response217ms
Selecting a row opens the reference for that API.
| Method | API | Path | Summary |
|---|---|---|---|
| POST | /v1/korea-weather-forecast/forecast-version | Returns the generation version timestamp of KMA observation (odam), ultra-short forecast (vsrt), or short-term forecast (shrt) files near a requested base datetime, using the official getFcstVersion endpoint. Use when the caller needs to know when a forecast or observation file was last generated, e.g. to check freshness before querying it. Do NOT use to read weather values — use korea-weather-forecast:ultra-short-observation (observations), korea-weather-forecast:ultra-short-forecast (next few hours), or korea-weather-forecast:short-forecast (up to ~3 days) instead. Returns total_count, has_more, and items (file_type, version_at). | |
| POST | /v1/korea-weather-forecast/short-forecast | Returns the short-term forecast (단기예보, 동네예보) batch published at one announcement (base_date + base_time) for one 5km grid point (grid_x, grid_y): one row per (category, forecast_date, forecast_time), spanning up to ~3 days ahead across categories such as TMP (temperature), POP (precipitation probability), SKY (sky condition), PTY (precipitation type), REH (humidity), WSD (wind speed), and others. Backed by data.go.kr's KMA short-term forecast service (기상청_단기예보 조회서비스, getVilageFcst). Use when the caller needs the multi-day outlook for a grid point. Do NOT use for the weather observed right now — use korea-weather-forecast:ultra-short-observation instead. Do NOT use when only the next few hours matter — use korea-weather-forecast:ultra-short-forecast instead. Do NOT use for file generation timestamps — use korea-weather-forecast:forecast-version instead. base_date/base_time/grid_x/grid_y are all required — KMA publishes only 8 batches per day (base_time must be one of 02:00/05:00/08:00/11:00/14:00/17:00/20:00/23:00 KST) and only for specific grid coordinates, so all four must be known in advance (e.g. from a coordinate-conversion lookup and a recent announcement time). Returns total_count, has_more, and items (forecast_date, forecast_time, category, forecast_value). | |
| POST | /v1/korea-weather-forecast/ultra-short-forecast | Returns KMA ultra-short forecast (초단기예보) rows for one publication time and grid point: one row per (category, forecast_date, forecast_time) covering the next several hours, using the official getUltraSrtFcst endpoint. Use when the caller needs hour-by-hour conditions for the coming hours at a grid point (base_time is an HH:30 KST publication time). Do NOT use for the weather observed right now — use korea-weather-forecast:ultra-short-observation instead. Do NOT use for forecasts beyond the next few hours or for the 8-times-daily short-term batch — use korea-weather-forecast:short-forecast instead. Do NOT use for file generation timestamps — use korea-weather-forecast:forecast-version instead. Returns total_count, has_more, and items (forecast_date, forecast_time, category, forecast_value). |
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| POST | /v1/korea-weather-forecast/ultra-short-observation | Returns KMA ultra-short observations (초단기실황) for one hourly observation time and grid point, including category-coded temperature, precipitation, wind, humidity, and related observed values, using the official getUltraSrtNcst endpoint. Use when the caller needs the weather actually observed at a grid point at a given hour (base_time is an hourly HH:00 KST value). Do NOT use for future hours — use korea-weather-forecast:ultra-short-forecast (next few hours) or korea-weather-forecast:short-forecast (up to ~3 days) instead. Do NOT use for file generation timestamps — use korea-weather-forecast:forecast-version instead. Returns total_count, has_more, and items with one row per category (base_date, base_time, category, observed_value, grid_x, grid_y). |