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.
: It converts monthly averages into realistic hourly "Typical Meteorological Years" (TMY), maintaining the statistical characteristics of real weather. 📊 Key Parameters
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: Advanced models simulate urban climates for 100 European cities, helping planners design more resilient "green cities". Applications in Industry Meteonorm Software
Meteonorm is famous for its sophisticated algorithms that estimate global horizontal irradiance (GHI), direct normal irradiance (DNI), and diffuse radiation — even in mountainous or shaded terrain. Meteonorm acts as a "stochastic weather generator
: The database provides over 30 different meteorological parameters, including global horizontal radiation, temperature, humidity, wind speed, and precipitation. Key Features of Meteonorm 8
: The standard period for radiation data is now 1996–2015, while other parameters cover 2000–2019. : Advanced models simulate urban climates for 100
The latest version, , introduced significant upgrades to address modern energy and climate needs:
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.
