Meteonorm |link| -

Meteonorm includes data from over 8,000 weather stations and multiple satellite sources. It covers all latitudes and longitudes — from polar regions to tropical islands.

Meteonorm is a comprehensive climatological database and software tool used to generate representative weather data for any location on Earth. It is the industry standard for solar energy simulation, building design, and climate research. 🌍 Core Functionality meteonorm

Once monthly mean values are interpolated for the target location, Meteonorm employs stochastic weather generators (typically Markov chain processes) to downscale monthly means into hourly time series. This process generates synthetic sequences of temperature, humidity, and radiation that statistically satisfy the monthly mean constraints. Meteonorm includes data from over 8,000 weather stations

To understand the capabilities and limitations of Meteonorm, one must dissect its core algorithmic structure. The software operates on a three-step hierarchy: data sourcing, spatial interpolation, and stochastic synthesis. It is the industry standard for solar energy

Meteonorm’s default datasets are historically anchored (e.g., 1991–2010). In an era of anthropogenic climate change, the assumption of a stationary climate is increasingly flawed. A building designed today using a historical TMY or synthetic dataset may face a significantly different climate by 2040.