Hi, the exact improvement heavily depends on the specific location and the weather patterns at the time. Generally though, we see roughly a 10% improvement in day-ahead forecasts for core variables like temperature and cloudiness compared to the raw ensemble average. The difference is even bigger if you compare it to the standard single-model approach that most weather APIs use.