Nimesh Katariya Meteonorm is weather data software from Meteotest, a Swiss company, that generates Typical Meteorological Year files with irradiance, temperature and wind for any location. It blends ground stations with satellite data, and Meteonorm 8 was released in 2020. PVsyst bundles it as a weather source, so solar designers often use it for yield simulation.
What is Meteonorm?
Meteonorm is weather data software that solar designers use to build yield simulations. This page is for PV engineers working in PVsyst who need to know how Meteonorm weather data is created, how accurate it is and when to cross-check it.
Key Takeaways
- Meteonorm = global TMY weather database.
- Used by PVsyst as default weather source.
- Bankable for most projects; alternatives Solargis or NSRDB (US).
- Commercial license required.
- Latest version: Meteonorm 8 (2020).
How Meteonorm Fits Into a Yield Simulation
A PVsyst simulation is only as trustworthy as the weather data feeding it, and Meteonorm is where most projects get that data from by default. Instead of one year of measured on-site readings, which almost no project has, Meteonorm builds a synthetic Typical Meteorological Year (TMY) by blending long-term records from its global ground-station network with satellite and reanalysis data.
The output is an hourly (or sub-hourly) file of GHI, DNI, DHI, ambient temperature, and wind speed that a designer imports directly into the simulation’s Site definition step, ready to run through the transposition, temperature, and loss models that produce the final P50/P90 numbers lenders review.
Worked Example
Take a rooftop commercial project in a region with no on-site pyranometer and no nearby first-class weather station. The designer opens PVsyst, selects the Meteonorm 8 source for that latitude/longitude, and the software interpolates a TMY from the nearest ground stations and satellite grid cells, weighted by distance and elevation. That TMY becomes the GHI/DNI/DHI input for the whole simulation.
Because the site sits in a region with sparse ground coverage, the resulting uncertainty band is wider than it would be for, say, a European site near a dense network of stations, which is exactly the scenario where an engineer might cross-check the Meteonorm run against a Solargis dataset before finalizing the bankable report.
Related Reading
Weather data is only the input side of the equation, the value shows up once it runs through a simulation engine and produces a number a lender will actually sign off on. Our guide to advanced PVsyst analysis and how accurate yield predictions save millions walks through how weather-source choice affects P50/P90 outcomes, and the bankable PVsyst reports guide covers what lenders expect to see documented alongside the weather source.
If you’re still comparing simulation platforms before committing to a weather database and workflow, the best solar design software roundup is a useful starting point, and SurgePV’s side-by-side solar design software comparison breaks down how different platforms handle weather-data integration in practice.
Disclosure: SurgePV is a Heaven Designs group company.
Frequently Asked Questions
4 commonly searched questions about Meteonorm.
Is Meteonorm free?
How accurate is Meteonorm weather data?
Meteonorm vs NSRDB: which should I use?
Can Meteonorm data be used outside PVsyst?
Need engineering-backed solar designs?
Heaven Designs prepares solar drawings, structural calculations, electrical engineering documents, and project-specific permit plan sets.