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Weather Measures by Weenat

Weather Measures is a key player in spatialized meteorology, providing precise solutions for the agricultural sector and weather-sensitive industries. In 2021, the company became part of the Weenat ecosystem, a leader in connected weather solutions and precision agronomy. The merger of expertise between the two companies enables the combination of hourly spatialized data at the square-kilometer level with connected sensors.

Weather Measures by Weenat

Weather Measures: the expert in spatialized meteorology for reliable and consistent data

Founded in 2015, Weather Measures has established itself as a benchmark in spatialized meteorology.

Its expertise is based on the development of cutting-edge algorithms capable of analyzing multi-source data from satellites, radars, weather models, and artificial intelligence.

These technologies provide reliable and consistent data, both in historical observations (since 2012) and in forecasts (up to 14 days ahead), with high spatio-temporal resolution tailored to the needs of professionals working with applied meteorology.
But behind these complex algorithms are, above all, passionate experts.

Weather Spatialised weather measures
Weather Measures Data scientists
The Data, Product & Innovation team, based in Clermont-Ferrand, brings together meteorologists and data scientists who combine technical expertise with a deep understanding of on-the-ground challenges. These professionals don’t just write lines of code—they translate diverse weather situations into actionable data to help farmers, energy providers, and logistics operators better anticipate climate-related risks and their impact on operations.

A data scientist at Weather Measures, these experts refine models, validate data, and collaborate with users to ensure that solutions align with real-world needs. This human-centered approach is essential: it ensures that every weather observation, every indicator, truly reflects the needs of professionals on the ground.

Weather Measures Data scientists