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Volume 18, issue 10 | Copyright

Special issue: EARLINET aerosol profiling: contributions to atmospheric and...

Atmos. Chem. Phys., 18, 7001-7017, 2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 18 May 2018

Research article | 18 May 2018

Hygroscopic growth study in the framework of EARLINET during the SLOPE I campaign: synergy of remote sensing and in situ instrumentation

Andrés Esteban Bedoya-Velásquez1,2,3, Francisco Navas-Guzmán4, María José Granados-Muñoz5, Gloria Titos1,6, Roberto Román1,2,11, Juan Andrés Casquero-Vera1,2, Pablo Ortiz-Amezcua1,2, Jose Antonio Benavent-Oltra1,2, Gregori de Arruda Moreira1,2,7, Elena Montilla-Rosero8, Carlos David Hoyos9, Begoña Artiñano10, Esther Coz10, Francisco José Olmo-Reyes1,2, Lucas Alados-Arboledas1,2, and Juan Luis Guerrero-Rascado1,2 Andrés Esteban Bedoya-Velásquez et al.
  • 1Andalusian Institute for Earth System Research (IISTA-CEAMA), University of Granada, Autonomous Government of Andalusia, 18006, Granada, Spain
  • 2Departament of Applied Physics, University of Granada, Granada, Spain
  • 3Sciences Faculty, Department of Physics, Universidad Nacional de Colombia, Medellín, Colombia
  • 4Federal Office of Meteorology and Climatology MeteoSwiss, Payerne, Switzerland
  • 5Remote Sensing Laboratory/CommSensLab, Universitat Politècnica de Catalunya, Barcelona, 08034, Spain
  • 6Institute of Environmental Assessment and Water Research (IDAEA), CSIC, Barcelona, 08034, Spain
  • 7Institute of Research and Nuclear Energy, IPEN, São Paulo, Brazil
  • 8Physical Sciences Department, School of Science, EAFIT University, Medellín, Colombia
  • 9Minas Faculty, Department of Geosciences and Environment, Universidad Nacional de Colombia, Medellín, Colombia
  • 10CIEMAT, Environment Department, Associated Unit to CSIC on Atmospheric Pollution, Avenida Complutense 40, Madrid, Spain
  • 11Grupo de Óptica Atmosférica (GOA), Universidad de Valladolid, Paseo Belén, 7, 47011, Valladolid, Spain

Abstract. This study focuses on the analysis of aerosol hygroscopic growth during the Sierra Nevada Lidar AerOsol Profiling Experiment (SLOPE I) campaign by using the synergy of active and passive remote sensors at the ACTRIS Granada station and in situ instrumentation at a mountain station (Sierra Nevada, SNS). To this end, a methodology based on simultaneous measurements of aerosol profiles from an EARLINET multi-wavelength Raman lidar (RL) and relative humidity (RH) profiles obtained from a multi-instrumental approach is used. This approach is based on the combination of calibrated water vapor mixing ratio (r) profiles from RL and continuous temperature profiles from a microwave radiometer (MWR) for obtaining RH profiles with a reasonable vertical and temporal resolution. This methodology is validated against the traditional one that uses RH from co-located radiosounding (RS) measurements, obtaining differences in the hygroscopic growth parameter (γ) lower than 5% between the methodology based on RS and the one presented here. Additionally, during the SLOPE I campaign the remote sensing methodology used for aerosol hygroscopic growth studies has been checked against Mie calculations of aerosol hygroscopic growth using in situ measurements of particle number size distribution and submicron chemical composition measured at SNS. The hygroscopic case observed during SLOPE I showed an increase in the particle backscatter coefficient at 355 and 532nm with relative humidity (RH ranged between 78 and 98%), but also a decrease in the backscatter-related Ångström exponent (AE) and particle linear depolarization ratio (PLDR), indicating that the particles became larger and more spherical due to hygroscopic processes. Vertical and horizontal wind analysis is performed by means of a co-located Doppler lidar system, in order to evaluate the horizontal and vertical dynamics of the air masses. Finally, the Hänel parameterization is applied to experimental data for both stations, and we found good agreement on γ measured with remote sensing (γ532 = 0.48±0.01 and γ355 = 0.40±0.01) with respect to the values calculated using Mie theory (γ532 = 0.53±0.02 and γ355 = 0.45±0.02), with relative differences between measurements and simulations lower than 9% at 532nm and 11% at 355nm.

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This study focuses on the analysis of aerosol hygroscopic growth during the SLOPE I campaign combining active and passive remote sensors at ACTRIS Granada station and in situ instrumentation at a mountain station (Sierra Nevada station, SNS). The results showed good agreement on gamma parameters by using remote sensing with respect to those calculated using Mie theory at SNS, with relative differences lower than 9 % at 532 nm and 11 % at 355 nm.
This study focuses on the analysis of aerosol hygroscopic growth during the SLOPE I campaign...