Meteonorm Jun 2026

For critical projects (e.g., utility-scale solar farms), it’s common to validate Meteonorm against on-site measurements for 6–12 months. For early-stage planning, it’s industry-standard.

Meteonorm, developed by Meteotest, has emerged as an industry standard for filling these spatial and temporal gaps. It does not merely reproduce historical data; it constructs a statistical reality of a location's climate. This paper investigates the epistemological shift from measured to synthetic meteorology, examining how Meteonorm constructs its datasets and the inherent risks involved in treating model outputs as ground truth. meteonorm

Meteonorm acts as a "stochastic weather generator." It doesn't just store old data; it uses complex algorithms to create synthetic hourly or minute-by-minute weather files based on long-term averages. For critical projects (e

The accuracy of dynamic building energy simulation and photovoltaic (PV) system yield analysis is fundamentally constrained by the quality of input weather data. As the built environment shifts towards net-zero carbon targets, the margin for error in performance prediction narrows significantly. However, high-quality, long-term, site-measured weather station data is spatially sparse, particularly in developing regions and rural areas. This "data void" necessitates the use of synthetic data generation tools. It does not merely reproduce historical data; it