Knowledge of historical weather data is becoming increasingly important. This information is highly relevant, in particular for the insurance industry and in location planning. This applies, for example, in determining the probability of hail storms in a certain region or in identifying the most suitable locations for sun or wind energy plants under climatic aspects.

Infrastructure & Transportation

UBIMET’s reanalysis package, based on historical weather data, assists with the process of defining areas where construction of new infrastructure would not be recommended, or where special risk management measures should be carried out. Reanalysis is highly relevant for planning new roads, railways or determining the ideal location for new infrastructure. With reanalysis it is possible to identify areas of high weather activity (e.g. snowfall) and to integrate solutions into infrastructure design to mitigate impact (e.g. snow fences / snow etc.).


To manage risk exposure within the insurance industry, it is important to know the existing risk probability as precisely as possible, and to calculate premiums based on this. With UBIMET’s historical reanalysis package, it is possible to analyze damage-related parameters such as hail, storm or lightning, and identify regions of increased risk.


In the renewable energy sector (wind farms, hydropower dams and solar power plants) the perfect placement of assets is essential. UBIMET’s reanalysis package assists in finding suitable locations during the planning phase, thus optimizing energy yield and operational efficiency.


Reanalyses are also relevant in the retail sector. The connection between weather and the products sold are often not immediately apparent. UBIMET analyzes sales figures and historical weather data and develops correlations between weather events and a wide range of products. With correlations, predictions for future sales figures, inventory stock can be ordered and advertising optimized accordingly.

How does reanalysis work?

In order to find out what the weather conditions were like at any given coordinate at any given time, even at locations without meteorological observations, the UBIMET research team developed a special analytical method. This enables the interpolation of variables that takes into account topography and land cover as well as radar and satellite data to a grid with a horizontal resolution of 300 feet. Depending on the measuring frequency of the weather data, it is possible to generate the analysis for parameters such as temperature, precipitation or wind with a temporal resolution of down to ten minutes. The actual resolution that can be achieved depends on the local data availability. In addition to original reanalyses, it is also possible on individual request to generate statistical evaluations such as mean values, extreme values or the frequency of exceeded threshold values. Reanalyses and the deduced values calculated on their basis can be provided in the form of a grid (Geotiff, Gribfile) or, for selected coordinates, in the form of time series in Excel or text files. If required, we gladly prepare graphics of the reanalyses or their evaluation.

Our portfolio is comprised of the following meteorological parameters:

  • Temperature (dry temperature, temperature, perceived temperature)
  • Humidity (dew point, relative humidity, specific humidity)
  • Air pressure (reduced to sea level or at ground level)
  • Wind speed
  • Wind gusts
  • Wind direction
  • Total precipitation
  • Precipitation type
  • Fresh snow depth
  • Total snow depth
  • Cloud cover
  • Duration of sunshine
  • Solar radiation
  • Lightning density
  • Likelihood of hail with a diameter of at least half an inch, three quarters of an inch, one inch, etc.