Description The concept of this project is to try to understand which locations, and therefore wind parks, are more susceptible to rain and hail erosion. Rain erosion is one of the key issues facing wind turbines in the field and can lead to significant performance issues and annual energy losses. The aim of the project is to import RADAR data, in the HDF5 format using MATLAB or Python, using this to create a histographic representation of rainfall at different locations. You will import the data, possibly doing some signal processing, in order to remove any artefacts observed in the RADAR outputs. You should then store the available data in a suitable format, allowing for quick access. You will then write a function that will allow the input of coordinates and will return a histogram of the average rain fall rates that occur at a site throughout the year. Following this, you will calculate the annual rainfall from the RADAR data and compare this with available data from weather stations on the ground. You should also aim to do this for month by month. You should also use other available weather data to try to infer whether the types of precipitation are purely rainfall, purely snow, purely hail, or a mixture.