EPJ Web Conf.
Volume 197, 2019Atmospheric Monitoring for High Energy Astroparticle Detectors (AtmoHEAD) 2018
|Number of page(s)||3|
|Section||Analysis Techniques and Instruments|
|Published online||15 January 2019|
Development of a High Spectral Resolution Lidar for day-time measurements of aerosol extinction
Consorzio Nazionale Interuniversitario per le Scienze Fisiche della Materia (CNISM) and Dip. Fisica “E. Pancini”, Università degli Studi di Napoli Federico II,
2 Istituto di Metodologie per l’Analisi Ambientale (IMAA) - CNR, Italy.
3 Consorzio Nazionale Interuniversitario per le Scienze Fisiche della Materia (CNISM) and Dip. Fisica, Politecnico di Milano, Italy.
4 Istituto Superconduttori, Materiali innovativi e Dispositivi (SPIN) - CNR, Italy.
5 Beijing Research Institute of Telemetry (BRIT), Beijing, PRC.
* Corresponding author: firstname.lastname@example.org
Published online: 15 January 2019
Lidar technique is the most performing way to obtain the atmospheric vertical profile of aerosol optical properties with high space-time resolution. With elastic scattering lidars, the retrieval of aerosol optical properties (as the extinction profile) is realizable only with assumptions on aerosol extinction-to-backscatter ratio or with Raman measurement achievable in night-time. In order to overcome these problems, the High Spectral Resolution Lidar (HSRL) technique has been examined. In this paper we present an innovative prototype of High Spectral Resolution Lidar realized at Physics Department of University “Federico II” of Naples for the LISA (LIdar for Space study of the Atmosphere) project in the framework of the China-Italy international cooperation between CNISM and BRIT. The prototype which represents a first step of a spaceborne HSRL, is based on a laser source at 1064nm and 532nm with high spectral resolution ability at 532nm. The separation between the molecular and the aerosol components was obtained through the use of a confocal Fabry-Perot interferometer (CFPI) cavity.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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