Overview #
The Meteorological Data product delivers consistent weather information for your fields and regions of interest. It blends quality‑controlled observations with model forecasts to provide the history you need for analysis and the outlook you need for decisions.
What’s included #
- Historical climate — multi‑year daily series and long‑term normals.
- Recent conditions — up‑to‑date hourly/daily values with basic quality checks.
- Forecasts — short‑range (hourly) and medium‑range (daily) horizons suitable for operational planning.
- Derived agronomic indicators — ET0 (FAO‑56), GDD, VPD, chill/heat units, wet/dry spell counters.
Core variables #
- Precipitation (total & intensity)
- Air temperature (min/mean/max)
- Relative humidity and dew point
- Wind speed and gusts
- Solar radiation / shortwave
- Pressure and cloud cover
How it works #
- Aggregates station networks, satellite estimates, and numerical weather models.
- Applies bias correction and temporal/spatial interpolation for field‑level use.
- Produces harmonized time series suitable for downstream analytics and dashboards.
Delivery #
- Formats: CSV, GeoJSON, and map tiles (for web maps).
- Cadence: hourly/daily updates; historical backfills on request.
- Access: file download or API; per‑parcel or grid tiles.
Typical uses #
- Irrigation & spraying windows — align operations with rainfall, wind, humidity, and temperature.
- Planting & harvest planning — watch soil‑drying conditions, heat/cold risks, and multi‑day outlooks.
- Risk monitoring — track heatwaves, cold snaps, and dry spells during sensitive stages.
- Insurance & audits — support trigger definitions and event verification.
Notes #
- Forecast skill varies by region, terrain, and lead time—use ensemble or rolling averages for operational thresholds.
- For site‑specific decisions, pair with local observations where available.