Abstract

Abstract. This study focuses on the analysis of aerosol hygroscopicity using remote sensing techniques. Continuous observations of aerosol backscatter coefficient (βaer), temperature (T) and water vapor mixing ratio (r) have been performed by means of a Raman lidar system at the aerological station of MeteoSwiss at Payerne (Switzerland) since 2008. These measurements allow us to monitor in a continuous way any change in aerosol properties as a function of the relative humidity (RH). These changes can be observed either in time at a constant altitude or in altitude at a constant time. The accuracy and precision of RH measurements from the lidar have been evaluated using the radiosonde (RS) technique as a reference. A total of 172 RS profiles were used in this intercomparison, which revealed a bias smaller than 4 % RH and a standard deviation smaller than 10 % RH between both techniques in the whole (in lower) troposphere at nighttime (at daytime), indicating the good performance of the lidar for characterizing RH. A methodology to identify situations favorable to studying aerosol hygroscopicity has been established, and the aerosol hygroscopicity has been characterized by means of the backscatter enhancement factor (fβ). Two case studies, corresponding to different types of aerosol, are used to illustrate the potential of this methodology. The first case corresponds to a mixture of rural aerosol and smoke particles (smoke mixture), which showed a higher hygroscopicity (fβ355=2.8 and fβ1064=1.8 in the RH range 73 %–97 %) than the second case, in which mineral dust was present (fβ355=1.2 and fβ1064=1.1 in the RH range 68 %–84 %). The higher sensitivity of the shortest wavelength to hygroscopic growth was qualitatively reproduced using Mie simulations. In addition, a good agreement was found between the hygroscopic analysis done in the vertical and in time for Case I, where the latter also allowed us to observe the hydration and dehydration of the smoke mixture. Finally, the impact of aerosol hygroscopicity on the Earth's radiative balance has been evaluated using the GAME (Global Atmospheric Model) radiative transfer model. The model showed an impact with an increase in absolute value of 2.4 W m−2 at the surface with respect to the dry conditions for the hygroscopic layer of Case I (smoke mixture).

Highlights

  • Atmospheric aerosol particles scatter and absorb solar radiation and have an impact on the Earth’s radiative budget

  • In the present study we show the capability of the RAman Lidar for Meteorological Observations (RALMO) operated at the aerological station of MeteoSwiss at Payerne (Switzerland) to monitor aerosol hygroscopicity based on its continuous aerosol and relative humidity (RH) measurements

  • Continuous measurements of aerosol and RH profiles from RALMO lidar allow us to monitor any change in aerosol properties that could occur as a result of the water uptake by particles under high RH

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Summary

Introduction

Atmospheric aerosol particles scatter and absorb solar radiation and have an impact on the Earth’s radiative budget (direct effect). Most in situ techniques are limited by the fact that they modify the ambient conditions and are subject to particle losses in the sampling lines, thereby altering the real atmospheric aerosol properties (BedoyaVelásquez et al, 2018) They present larger errors in the characterization of the aerosol hygroscopicity for high RH (conditions close to saturation), especially when the aerosol is more hygroscopic (Titos et al, 2016). In this sense, remote sensing techniques could overcome these difficulties since they can provide vertically resolved measurements without modifying the aerosol sample. The methodology needed for this characterization is introduced and applied to two case studies in which different aerosol types were present

Experimental site and instrumentation
Retrievals of RH and aerosol property profiles
Selection of aerosol hygroscopic cases
Validation of lidar measurements versus operational RSs
Case I: hygroscopic growth of smoke mixture
Case II: hygroscopic growth of mineral dust particles
Findings
Conclusions
Full Text
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