We performed theoretical evaluation through numerical models of optimum lidar and radar configurations in order to improve aerosol-cloud interaction processes understanding. Besides the optimization of the lidar and radar systems, we observed that there are many atmospheric processes involved in the aerosol-cloud interaction that need to be disentangled to improve our knowledge at this respect. Therefore, it is also necessary to advance in the development of retrieval algorithms for obtaining aerosol and cloud properties from radar and lidar signals. At the University of Granada, we implemented several algorithms that allowed us to obtain these properties from the experimental databases. We also analyzed the effect that the aerosol particles have on climate change by means of the analysis of their radiative properties with complex numerical models for radiative transfer in the atmosphere. Furthermore, we acquired a thorough experimental database using lidar and radar systems in combination with ancillary instrumentation available at the University of Granada, that allow us to improve our knowledge about the aerosol-cloud interaction processes occurring in the atmosphere under real conditions.