BNL has been developing a remote sensing technique for the detection of atmospheric pollutants based on the phenomenon of resonance Raman LIDAR that has also incorporated a number of new techniquedtechnologies designed to extend it's performance envelope. When the excitation frequency approaches an allowed electronic transition of the molecule, an enormous enhancement of the inelastic scattering cross-section can occur, ORen up to 2 to 4 orders-of -magnitude, and is referred to as resonance Raman (RR), since the excitation frequency is in "resonance" w i t h an allowed electronic transition. Exploitation of this enhancement along with new techniques such as pattern recognition algorithms to take advantage of the spectral fingerprint and a new laser fiequency modulation technique designed to suppress broadband fluorescence, referred to as Frequency-Modulated Exutation-Raman Spectroscopy (FteMERs) and recent developments in liquid edge filter technology, for suppression of the elastic channel, all help increase the overall performance of h a n LIDAR Introduction: