Ship-borne aerosol profiling with lidar over the Atlantic Ocean: from pure marine conditions to complex dust–smoke mixtures

Abstract. The multi-wavelength Raman lidar PollyXT has been regularly operated aboard the research vessel Polarstern on expeditions across the Atlantic Ocean from north to south and vice versa. The lidar measurements of the RV Polarstern cruises PS95 from Bremerhaven, Germany, to Cape Town, Republic of South Africa (November 2015), and PS98 from Punta Arenas, Chile, to Bremerhaven, Germany (April/May 2016), are presented and analysed in detail. The latest set-up of PollyXT allows improved coverage of the marine boundary layer (MBL) due to an additional near-range receiver. Three case studies provide an overview of the aerosol detected over the Atlantic Ocean. In the first case, marine conditions were observed near South Africa on the autumn cruise PS95. Values of optical properties (depolarisation ratios close to zero, lidar ratios of 23 sr at 355 and 532 nm) within the MBL indicate pure marine aerosol. A layer of dried marine aerosol, indicated by an increase of the particle depolarisation ratio to about 10 % at 355 nm (9 % at 532 nm) and thus confirming the non-sphericity of these particles, could be detected on top of the MBL. On the same cruise, an almost pure Saharan dust plume was observed near the Canary Islands, presented in the second case. The third case deals with several layers of Saharan dust partly mixed with biomass-burning smoke measured on PS98 near the Cabo Verde islands. While the MBL was partly mixed with dust in the pure Saharan dust case, an almost marine MBL was observed in the third case. A statistical analysis showed latitudinal differences in the optical properties within the MBL, caused by the down-mixing of dust in the tropics and anthropogenic influences in the northern latitudes, whereas the optical properties of the MBL in the Southern Hemisphere correlate with typical marine values. The particle depolarisation ratio of dried marine layers ranged between 4 and 9 % at 532 nm. Night measurements from PS95 and PS98 were used to illustrate the potential of aerosol classification using lidar ratio, particle depolarisation ratio at 355 and 532 nm, and Ångström exponent. Lidar ratio and particle depolarisation ratio have been found to be the main indicator for particle type, whereas the Ångström exponent is rather variable.

[1]  A. Ansmann,et al.  Independent measurement of extinction and backscatter profiles in cirrus clouds by using a combined Raman elastic-backscatter lidar. , 1992, Applied optics.

[2]  Albert Ansmann,et al.  Profiling of Saharan dust and biomass-burning smoke with multiwavelength polarization Raman lidar at Cape Verde , 2011 .

[3]  T. Eck,et al.  Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols , 1999 .

[4]  Albert Ansmann,et al.  Profiling of Saharan dust from the Caribbean to western Africa – Part 1: Layering structures and optical properties from shipborne polarization/Raman lidar observations , 2017 .

[5]  Albert Ansmann,et al.  Dry versus wet marine particle optical properties: RH dependence of depolarization ratio, backscatter, and extinction from multiwavelength lidar measurements during SALTRACE , 2017 .

[6]  Nikolaos S. Bartsotas,et al.  GARRLiC and LIRIC: strengths and limitations for the characterization of dust and marine particles along with their mixtures , 2017 .

[7]  K. H. Fung,et al.  Thermodynamic and optical properties of sea salt aerosols , 1997 .

[8]  Albert Ansmann,et al.  Continuous monitoring of the boundary-layer top with lidar , 2008 .

[9]  V. Freudenthaler,et al.  EARLINET: towards an advanced sustainable European aerosol lidar network , 2014 .

[10]  S. Twomey The Influence of Pollution on the Shortwave Albedo of Clouds , 1977 .

[11]  R. Ferrare,et al.  Aerosol classification using airborne High Spectral Resolution Lidar measurements – methodology and examples , 2011 .

[12]  T. Nagai,et al.  Backscattering linear depolarization ratio measurements of mineral, sea-salt, and ammonium sulfate particles simulated in a laboratory chamber. , 2010, Applied optics.

[13]  F. G. Fernald Analysis of atmospheric lidar observations: some comments. , 1984, Applied optics.

[14]  Albert Ansmann,et al.  The automated multiwavelength Raman polarization and water-vapor lidar PollyXT: The neXT generation , 2016 .

[15]  A. Ansmann,et al.  Aerosol-type-dependent lidar ratios observed with Raman lidar , 2007 .

[16]  Albert Ansmann,et al.  Portable Raman Lidar Polly XT for Automated Profiling of Aerosol Backscatter, Extinction, and Depolarization , 2009 .

[17]  R. Engelmann,et al.  North-south cross sections of the vertical aerosol distribution over the Atlantic Ocean from multiwavelength Raman/polarization lidar during Polarstern cruises , 2013, Journal of geophysical research. Atmospheres : JGR.

[18]  Albert Ansmann,et al.  Tracking the Saharan Air Layer with shipborne lidar across the tropical Atlantic , 2014 .

[19]  Anders Ångström,et al.  On the Atmospheric Transmission of Sun Radiation and on Dust in the Air , 1929 .

[20]  Paul Ginoux,et al.  Sensitivity of scattering and absorbing aerosol direct radiative forcing to physical climate factors , 2012 .

[21]  M. Salter,et al.  Revising the hygroscopicity of inorganic sea salt particles , 2017, Nature Communications.

[22]  A. Ansmann,et al.  Injection of mineral dust into the free troposphere during fire events observed with polarization lidar at Limassol, Cyprus , 2014 .

[23]  M. Chin,et al.  Radiative forcing of the direct aerosol effect from AeroCom Phase II simulations , 2012 .

[24]  R. Engelmann,et al.  An overview of the first decade of Polly NET : an emerging network of automated Raman-polarization lidars for continuous aerosol profiling , 2016 .

[25]  Takashi Shibata,et al.  Free tropospheric aerosol backscatter, depolarization ratio, and relative humidity measured with the Raman lidar at Nagoya in 1994-1997: contributions of aerosols from the Asian Continent and the Pacific Ocean , 2000 .

[26]  H. Okamoto,et al.  Application of lidar depolarization measurement in the atmospheric boundary layer: Effects of dust and sea‐salt particles , 1999 .

[27]  Didier Tanré,et al.  Retrieval of optical and physical properties of African dust from multiwavelength Raman lidar measurements during the SHADOW campaign in Senegal , 2016 .

[28]  V. Freudenthaler,et al.  Towards an aerosol classification scheme for future EarthCARE lidar observations and implications for research needs , 2015 .

[29]  D. Winker,et al.  The CALIPSO Automated Aerosol Classification and Lidar Ratio Selection Algorithm , 2009 .

[30]  Alexander Ignatov,et al.  Ship‐based aerosol optical depth measurements in the Atlantic Ocean: Comparison with satellite retrievals and GOCART model , 2005 .

[31]  V. Freudenthaler,et al.  Characterization of Saharan dust, marine aerosols and mixtures of biomass-burning aerosols and dust by means of multi-wavelength depolarization and Raman lidar measurements during SAMUM 2 , 2011 .

[32]  Ulla Wandinger,et al.  Introduction to Lidar , 2005 .

[33]  J. Klett Stable analytical inversion solution for processing lidar returns. , 1981, Applied optics.

[34]  Albert Ansmann,et al.  Vertically resolved separation of dust and smoke over Cape Verde using multiwavelength Raman and polarization lidars during Saharan Mineral Dust Experiment 2008 , 2009 .

[35]  B. Albrecht Aerosols, Cloud Microphysics, and Fractional Cloudiness , 1989, Science.

[36]  V. Freudenthaler,et al.  Optical and microphysical properties of smoke over Cape Verde inferred from multiwavelength lidar measurements , 2011 .