IASI super-observation generation The researchers combined many individual satellite observations collected over 6 hr into a single, high-quality measurement for each region. By filtering out areas with too little data, they created a reliable global dataset that could be fed directly into their weather forecasting model. (δD is the IASI water vapour isotopic ratio.) (Courtesy: ©2026 Yoshimura et al. /CC-BY-ND)"> IASI super-observation generation The researchers combined many individual satellite observations collected over 6 hr into a single, high-quality measurement for each region. By filtering out areas with too little data, they created a reliable global dataset that could be fed directly into their weather forecasting model. (δD is the IASI water vapour isotopic ratio.) (Courtesy: ©2026 Yoshimura et al. /CC-BY-ND)

Weather forecasting relies on many different types of data to make accurate predictions: temperature, humidity and wind data are all used to build an accurate forecast.…