Kommody

Crop-weighted weather for agricultural commodities

Kommody's weather module shows daily precipitation and temperature, observed and forecast, averaged over the areas where each crop is actually grown rather than over whole countries. Every value is compared with the 5- or 10-year historical average, so you see at a glance which producing regions are drier, wetter, hotter or colder than normal.

By the Kommody team · Updated

Data behind the maps

History comes from the ERA5 reanalysis of the Copernicus Climate Change Service. Recent days and the forecast come from ECMWF's IFS open data, refreshed with the 00z and 12z runs, so the picture updates twice a day.

Each grid cell is weighted by the crop's harvested area, then aggregated to countries and administrative regions, so every commodity gets its own weather signal for the same country.

What you can look at

Start from a world map coloured by deviation from normal, drill into one country by region, or read the daily numbers in a table. Ten-day profiles put the current season against history for each commodity and country.

  • World map and country view by region
  • Deviation from the 5- or 10-year average, in mm, °C or standard deviations
  • 10-day profiles of observed plus forecast weather
  • Daily data per region with CSV and Excel export

Commodities covered

Soybeans, corn, wheat, arabica and robusta coffee, sugar, cocoa, cotton and rice, across the producing countries that matter for each one.

Frequently asked questions

Why weight weather by crop area?
A national average mixes farmland with deserts, forests and cities. Weighting by harvested area measures the weather the crop actually experiences, which is what matters for yields.
Which forecast model does Kommody use?
ECMWF's IFS open data, updated with the 00z and 12z runs. History uses the ERA5 reanalysis.

Related

See it with live data in Kommody

Weather, news, positioning and prediction markets for the commodities you follow, in one dashboard or in your AI assistant.