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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 7, issue 6 | Copyright
Atmos. Meas. Tech., 7, 1745-1762, 2014
https://doi.org/10.5194/amt-7-1745-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 18 Jun 2014

Research article | 18 Jun 2014

A permanent Raman lidar station in the Amazon: description, characterization, and first results

H. M. J. Barbosa1, B. Barja1,2, T. Pauliquevis3, D. A. Gouveia1, P. Artaxo1, G. G. Cirino4, R. M. N. Santos5, and A. B. Oliveira6 H. M. J. Barbosa et al.
  • 1Instituto de Física, Universidade de São Paulo, Rua do Matão, Travessa R, 187. 05508-090, São Paulo, S.P., Brazil
  • 2Centro Meteorológico de Camagüey, Instituto de Meteorología de Cuba, Cuba
  • 3Depto. de Ciências Exatas e da Terra, UNIFESP, Diadema, S.P., Brazil
  • 4Instituto Nacional de Pesquisas da Amazônia, Manaus, A.M., Brazil
  • 5Universidade do Estado do Amazonas, Manaus, A.M., Brazil
  • 6Instituto Federal de Educação, Ciência e Tecnologia de São Paulo, São Paulo, S.P., Brazil

Abstract. A permanent UV Raman lidar station, designed to perform continuous measurements of aerosols and water vapor and aiming to study and monitor the atmosphere from weather to climatic time scales, became operational in the central Amazon in July 2011. The automated data acquisition and internet monitoring enabled extended hours of daily measurements when compared to a manually operated instrument. This paper gives a technical description of the system, presents its experimental characterization and the algorithms used for obtaining the aerosol optical properties and identifying the cloud layers. Data from one week of measurements during the dry season of 2011 were analyzed as a mean to assess the overall system capability and performance. Both Klett and Raman inversions were successfully applied. A comparison of the aerosol optical depth from the lidar and from a co-located Aerosol Robotic Network (AERONET) sun photometer showed a correlation coefficient of 0.86. By combining nighttime measurements of the aerosol lidar ratio (50–65 sr), back-trajectory calculations and fire spots observed from satellites, we showed that observed particles originated from biomass burning. Cirrus clouds were observed in 60% of our measurements. Most of the time they were distributed into three layers between 11.5 and 13.4 km a.g.l. The systematic and long-term measurements being made by this new scientific facility have the potential to significantly improve our understanding of the climatic implications of the anthropogenic changes in aerosol concentrations over the pristine Amazonia.

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