WindSim 11 | Meso-Micro Coupling

Today’s mesoscale meteorological models are richer and deliver data in higher resolution than ever before. WindSim will help you leverage these advances.

WindSim provides you with different tools depending on the type of mesoscale datasets available and the needs of your project.

Point-like Mesoscale Data Assimilation

In WindSim 11 you can assimilate mesoscale wind data as a climatological input. This allows you to conduct site assessments without the need of meteorological masts, while including the long-term wind conditions.

Comparison of the calculated wind resource map and wind speed distribution obtained by utilizing MERRA data (top panels) and onsite measurements (bottom panels)

Thanks to our CFD technology, WindSim is suitable to find the high wind locations produced by complex orography.



  • Better detection of high wind spots than most screening tools
  • Measurement-free wind resource assessment
  • Inclusion of long-term wind conditions

Physical Mesoscale Downscaling

WindSim 11 allows you to physically downscale mesoscale 3-D wind fields. It derives the local wind conditions from the mesoscale (like atmospheric stability, wind shear and wind veer) and enhance them with our CFD technology.

Comparison of the wind field simulated by a mesoscale model (left) and by WindSim using nesting to the same mesoscale field
The new user interface included in WindSim 11 facilitates the data pre-processing for conducting WindSim simulations coupled with mesoscale models. We also provide you with WindSim’s unique procedures to aggregate the downscaled mesoscale fields per wind direction for AEP calculations.
Meso-microscale coupling user interface in WindSim 11. This console takes 3D mesoscale datasets as inputs and provides you with boundary conditions for your WindSim simulations


Physical mesoscale downscaling delivers you the following advantages:

  • Simulation of realistic atmospheric flow conditions
  • Consideration of atmospheric stratification in 3-D
  • Simulation of mesoscale phenomena like low-level jets and wind turning
  • Procedure to calculate AEP
  • Applicable without onsite measurements

Additional features:

  • Support for the Weather Research and Forecasting (WRF) and other meteorological models
  • Applicable for forecasting
  • User friendly interface

For further technical information, we invite you to check our published scientific article here.

Physical Mesoscale Downscaling using Advanced Weather Classification as a Service

WindSim has developed a sophisticated weather classification tool based on machine learning. In a fully automated manner, you can obtain the most predominant weather patterns occurring at your site. These patterns can be then downscaled using WindSim’s meso-microscale coupling technology. This approach is especially advantageous for sites with marked diurnal cycles and unidirectional wind.

Neural network mapping of the mesoscale wind speed (left), atmospheric stability (center) and their respective time of occurrence (right). By looking at the bottom-left of the maps, it is possible to see that in this example, 10 m/s northern winds are correlated with stable atmospheric conditions during dawn

WindSim currently provide the consulting service for wind resource assessment and screening utilizing this advanced meso microscale coupling approach.


  • Procedure to calculate AEP
  • Advantageous for sites marked diurnal cycles and unidirectional wind
  • Wind resource assessment and AEP estimations based on the predominant weather patterns
  • Applicable without onsite measurements
  • Fully automated obtention of the main wind conditions at your site
  • Detection of main stability conditions