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A new method for analyzing the returns of the custom-made 'micro'-LIDARsystem, which is operated along with the two MAGIC telescopes, allows to applyatmospheric corrections in the MAGIC data analysis chain. Such corrections makeit possible to extend the effective observation time of MAGIC under adverseatmospheric conditions and reduce the systematic errors of energy and flux inthe data analysis. LIDAR provides a range-resolved atmospheric backscatterprofile from which the extinction of Cherenkov light from air shower events canbe estimated. Knowledge of the extinction can allow to reconstruct the trueimage parameters, including energy and flux. Our final goal is to recover thesource-intrinsic energy spectrum also for data affected by atmosphericextinction from aerosol layers, such as clouds.

A novel LIDAR-based Atmospheric Calibration Method for Improving the Data Analysis of MAGIC