Meteonorm 7: A Unique Software for Meteorological Data
Meteonorm 7 is a software that provides access to typical years and historical time series of meteorological data for any location on the globe. It is a unique combination of reliable data sources and sophisticated calculation tools. It can be used for various applications such as photovoltaic systems, solar thermal systems, building simulation, climate analysis and more.
Meteonorm 7 has several features that make it stand out from other software in the field. Some of these features are:
It uses data from 8325 weather stations, 5 satellites and 30 years of experience to generate accurate and consistent data.
It can provide data in different time intervals, such as monthly, hourly or minute values.
It can export data in various formats, such as Excel, CSV, TMY2, TMY3, EPW, PVSol, PVSyst, Polysun and more.
It can update data online with the latest information from the weather stations and satellites.
It can generate synthetic data for locations with no measured data available.
It can interpolate data for any location using a high-resolution digital elevation model.
It can correct data for urban heat island effects and climate change scenarios.
Meteonorm 7 is a powerful and versatile software that can meet the needs of professionals and researchers in various fields related to meteorology and climate. It is available for Windows XP, Windows Vista, Windows 7, Windows 8 and Windows 10. It can be downloaded from the official website or purchased from authorized resellers. A serial number is required to activate the installation. A free demo version is also available for testing the software with limited functionality.
If you are interested in Meteonorm 7 and want to learn more about it, you can visit the official website[^3^] or read some of the reviews[^1^] [^2^] [^4^] [^5^] online. You can also contact the developer Meteotest for any questions or support.Meteonorm 7 is not only a software for generating typical years and historical time series, but also a tool for climate change studies. It can use the results of IPCC AR4 models and scenarios to calculate future meteorological data for any site, for any period between 2010 and 2200. It can also generate realistic monthly time series based on historical and projected variations of temperature, precipitation and global radiation. This feature can be useful for assessing the impacts of climate change on various sectors and systems, such as vegetation, road surfaces, buildings, energy production and consumption, etc.
Some examples of projects that use Meteonorm 7 for climate change studies are:
A study of vegetation simulation between 1660 and 2600 using Meteonorm data combined with historical data and IPCC scenarios[^2^]. The study aimed to assess the effects of climate change on natural vegetation and land use in Europe.
A project called CLIMSAVE (Climate Change Integrated Assessment Methodology for Cross-Sectoral Adaptation and Vulnerability in Europe) that used Meteonorm data as input for a web-based platform that allows stakeholders to explore the cross-sectoral impacts of climate change[^3^]. The project covered various sectors such as agriculture, forestry, biodiversity, coasts, water resources and urban development.
A project called SOLAR-ERA.NET (European Solar Research Area Network) that used Meteonorm data to evaluate the performance and reliability of photovoltaic systems under different climatic conditions. The project aimed to support the development and deployment of solar energy technologies in Europe.
These are just some examples of how Meteonorm 7 can be used for climate change studies. There are many other possible applications that can benefit from the high-quality and high-resolution meteorological data provided by Meteonorm 7. 061ffe29dd