Literature DB >> 20725252

Raman lidar system for the measurement of water vapor and aerosols in the Earth's atmosphere.

D N Whiteman, S H Melfi, R A Ferrare.   

Abstract

A nighttime operating Raman lidar system that is designed for the measurement of high vertical and temporal resolution profiles of the water vapor mixing ratio and the aerosol backscattering ratio is described. The theory of the measurements is presented. Particular attention is given to operational problems that have been solved during the development of the system. Data are presented from Sept. 1987 and described in their meteorological context.

Entities:  

Year:  1992        PMID: 20725252     DOI: 10.1364/AO.31.003068

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  4 in total

1.  Low-pass parabolic FFT filter for airborne and satellite lidar signal processing.

Authors:  Zhongke Jiao; Bo Liu; Enhai Liu; Yongjian Yue
Journal:  Sensors (Basel)       Date:  2015-10-14       Impact factor: 3.576

2.  LIDAR developments at Clermont-Ferrand--France for atmospheric observation.

Authors:  Patrick Fréville; Nadège Montoux; Jean-Luc Baray; Aurélien Chauvigné; François Réveret; Maxime Hervo; Davide Dionisi; Guillaume Payen; Karine Sellegri
Journal:  Sensors (Basel)       Date:  2015-01-29       Impact factor: 3.576

3.  Multi-technique analysis of precipitable water vapor estimates in the sub-Sahel West Africa.

Authors:  Oluwasesan A Falaiye; Oladiran J Abimbola; Rachel T Pinker; Daniel Pérez-Ramírez; Alexander A Willoughby
Journal:  Heliyon       Date:  2018-09-05

4.  Characterization of smoke and dust episode over West Africa: comparison of MERRA-2 modeling with multiwavelength Mie-Raman lidar observations.

Authors:  Igor Veselovskii; Philippe Goloub; Thierry Podvin; Didier Tanre; Arlindo da Silva; Peter Colarco; Patricia Castellanos; Mikhail Korenskiy; Qiaoyun Hu; David N Whiteman; Daniel Pérez-Ramírez; Patrick Augustin; Marc Fourmentin; Alexei Kolgotin
Journal:  Atmos Meas Tech       Date:  2018-02-16       Impact factor: 4.176

  4 in total

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