Historical observations and forecasts at any location.
2 data products and services
Hourly forecasts to 15 days and history back to 1950 for any latitude and longitude via REST API: temperature, precipitation, wind, humidity, solar radiation and more.
Daily heating and cooling degree days, weather anomalies and ready-made demand features by store, postcode or region, for retailers, utilities and gas traders.
Weather data records and predicts atmospheric conditions such as temperature, precipitation, wind, humidity, pressure and solar radiation. Retailers use it to explain and forecast demand, energy traders to predict load and renewable output, insurers to validate claims, and logistics and agriculture teams to plan operations.
Station observations come from national meteorological services and private networks. They are precise but sparse, and they occasionally have gaps. Gridded products interpolate observations or come from numerical weather prediction models such as those run by NOAA and ECMWF. Reanalysis datasets, such as the Copernicus ERA5 series, combine historical observations with a fixed model to give a consistent gridded history going back decades. Commercial providers often blend several models and apply statistical post-processing to improve local accuracy.
Forecasts and current conditions are usually sold as API plans tiered by calls per month, locations or variables. Historical archives are sold per location, per region or as bulk files in NetCDF, GRIB, Parquet or CSV. Price rises with resolution, update frequency and forecast horizon.
Last reviewed on 11 Nov 2026
Weather dataAustralia, New ZealandUsage-based / APIDemo request
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