Wind Validation =============== Wind validation is a python package that makes it easy to validate wind measurements for wind resource applications. The data structures are time series, histograms and Weibull distributions and adopted from and defined in `windkit `_, .. figure:: fig/diagram.png The available validation options are shown in the figure above. There is an information reduction by going through the diagram from left to right. A time series is the most complete data structure to represent a wind climate and contains data series of wind speed and wind direction at one or many points. A histogram does not have a time dimension but instead represent the wind climate by describing frequency distributions for bins along the dimensions wind speed (`wsbin`) and wind direction (`sector`). When measuring over a long period the frequency of occurence usually follows a `Weibull distribution `_, particularly when looking at a single sector. It is therefore common practice in the wind energy industry to use the Weibull *A* and *k* parameters to denote the wind resource at a certain location. For computational efficiency wind resource assessment often operate on histograms or Weibull distributions. There is a filtering step, which is generally needed to make the two time series similar in space and time. Some examples of spatially aligning data are given in :ref:`examples`. .. toctree:: :caption: Setup :maxdepth: 2 installation .. toctree:: :maxdepth: 3 :caption: Users Guide validation reporting examples .. toctree:: :caption: Reference :maxdepth: 1 reference .. toctree:: :maxdepth: 2 :caption: Contents: