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    STUDIA AMBIENTUM - Issue no. 1-2 / 2012  
         
  Article:   LIDAR SIGNALS PRE-PROCESSING WITH PHYTON.

Authors:  MIHAIL NICOLAE DĂNILĂ. 		 
       
         
  Abstract:   In our days, a complex research of the atmosphere requires cutting-edge remote sensing techniques. The LIDAR (LIght Detection and Ranging) systems represent the main methods of profiling the atmosphere. The high spatial and temporal resolutions (3.5 meters and 1 minute respectively) and the possibility to monitor Earth’s atmosphere to heights up to 100 kilometers, make the LIDAR a very attractive and necessary system. The variety of interactions between the atmospheric constituents and the radiation emitted by the LIDAR, allows the determination of the atmospheric variables of state (i.e. temperature, pressure, air density) and the determination of the aerosol concentration. The implementation of Python programming for the analysis and interpretation of LIDAR signals was initiated in order to obtain the Range Corrected Signal Time Series, the atmosphere’s molecular parameters and the atmospheric variables of state. Also, together with the Tele-cover method, one can determine if the LIDAR system is properly aligned. The measurements were made with the mini-LIDAR system from the Atmosphere Optics, Spectroscopy and Lasers Laboratory, “Alexandru Ioan Cuza” University of Iasi, partner of the Romanian Atmospheric Research 3D Observatory (RADO).

Key words: LIDAR Network, laser and spectroscopy, python
 
         
     
         
         
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