Raman lidar measurements of atmospheric properties

C. Russell Philbrick

doi:10.1117/12.177985

29 June 1994 Raman lidar measurements of atmospheric properties

C. Russell Philbrick

Proceedings Volume 2222, Atmospheric Propagation and Remote Sensing III; (1994) https://doi.org/10.1117/12.177985
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

The capability of Raman lidar techniques to make accurate measurements of the structure properties and species of the atmosphere has been investigated. The LAMP lidar which was developed at PSU during the past several years has focused on the application of Raman vibrational and rotational scattering results. Measurements have been carried out during several campaign periods which demonstrate the performance of Raman lidar techniques compared to standard rawmsonde balloon payload measurements. The investigation has included water vapor and molecular nitrogen profiles determined from the 1st Stokes vibrational Raman transitions from laser wavelengths of 532 nm, 355 nm and 266 nm. The profiles of the N2 vibrational Raman scatter provide true extinction measurements in the lower atmosphere. Water vapor profiles are determined from the ratio of signals measured at the following wavelength pairs: 660/607, 407/387 and 294/283. The fact that the profile is determined from a signal ratio removes most of the factors which would result in errors in the profiles. The temperature structure has been measured using the rotational Raman scattering in the region between 526 and 532 nm. Measurements have been carried out to evaluate the performance and show the capability of Raman lidar to measure the profiles of atmospheric structure properties and water vapor in the lower atmosphere during night conditions and to determine the daytime measurement capability.

Citation Download Citation

C. Russell Philbrick "Raman lidar measurements of atmospheric properties", Proc. SPIE 2222, Atmospheric Propagation and Remote Sensing III, (29 June 1994); https://doi.org/10.1117/12.177985

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