Measurement report: Spectral and statistical analysis of aerosol hygroscopic growth from multi-wavelength lidar measurements in Barcelona, Spain
-
Published:2022-06-14
Issue:11
Volume:22
Page:7681-7697
-
ISSN:1680-7324
-
Container-title:Atmospheric Chemistry and Physics
-
language:en
-
Short-container-title:Atmos. Chem. Phys.
Author:
Sicard MichaëlORCID, Fortunato dos Santos Oliveira Daniel Camilo, Muñoz-Porcar Constantino, Gil-Díaz Cristina, Comerón Adolfo, Rodríguez-Gómez Alejandro, Dios Otín Federico
Abstract
Abstract. This paper presents the estimation of the hygroscopic
growth parameter of atmospheric aerosols retrieved with a multi-wavelength
lidar, a micro-pulse lidar (MPL) and daily radiosoundings in the coastal region of
Barcelona, Spain. The hygroscopic growth parameter, γ, parameterizes
the magnitude of the scattering enhancement in terms of the backscatter
coefficient following Hänel parameterization. After searching for time-colocated lidar and radiosounding measurements (performed twice a day, all year round at
00:00 and 12:00 UTC), a strict criterion-based procedure
(limiting the variations of magnitudes such as water vapor mixing ratio (WMVR),
potential temperature, wind speed and direction) is applied to select only
cases of aerosol hygroscopic growth. A spectral analysis (at the wavelengths
of 355, 532 and 1064 nm) is performed with the multi-wavelength lidar, and a
climatological one, at the wavelength of 532 nm, with the database of both
lidars. The spectral analysis shows that below 2 km the regime of local
pollution and sea salt γ decreases with increasing wavelengths.
Since the 355 nm wavelength is sensitive to smaller aerosols, this behavior
could indicate slightly more hygroscopic aerosols present at smaller size
ranges. Above 2 km (the regime of regional pollution and residual sea salt) the
values of γ at 532 nm are nearly the same as those below 2 km, and its
spectral behavior is flat. This analysis and others from the literature are
put together in a table presenting, for the first time, a spectral analysis
of the hygroscopic growth parameter of a large variety of atmospheric
aerosol hygroscopicities ranging from low (pure mineral dust, γ
<0.2) to high (pure sea salt, γ > 1.0)
hygroscopicity. The climatological analysis shows that, at 532 nm, γ
is rather constant all year round and has a large monthly standard deviation,
suggesting the presence of aerosols with different hygroscopic properties
all year round. The annual γ is 0.55 ± 0.23. The height of the
layer where hygroscopic growth was calculated shows an annual cycle with a
maximum in summer and a minimum in winter. Former works describing the
presence of recirculation layers of pollutants injected at various heights
above the planetary boundary layer (PBL) may explain why γ, unlike the height of the layer
where hygroscopic growth was calculated, is not season-dependent. The
subcategorization of the whole database into No cloud and Below-cloud cases reveals a large
difference of γ in autumn between both categories (0.71 and 0.33,
respectively), possibly attributed to a depletion of inorganics at the point
of activation into cloud condensation nuclei (CCN) in the Below-cloud cases. Our work calls
for more in situ measurements to synergetically complete such studies based
on remote sensing.
Funder
Horizon 2020 Framework Programme Ministerio de Ciencia e Innovación
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference64 articles.
1. Bedoya-Velásquez, A. E., Navas-Guzmán, F., Granados-Muñoz, M. J., Titos, G., Román, R., Casquero-Vera, J. A., Ortiz-Amezcua, P., Benavent-Oltra, J. A., de Arruda Moreira, G., Montilla-Rosero, E., Hoyos, C. D., Artiñano, B., Coz, E., Olmo-Reyes, F. J., Alados-Arboledas, L., and Guerrero-Rascado, J. L.: Hygroscopic growth study in the framework of EARLINET during the SLOPE I campaign: synergy of remote sensing and in situ instrumentation, Atmos. Chem. Phys., 18, 7001–7017, https://doi.org/10.5194/acp-18-7001-2018, 2018. 2. Bedoya-Velásquez, A. E., Titos, G., Bravo-Aranda, J. A., Haeffelin, M., Favez, O., Petit, J.-E., Casquero-Vera, J. A., Olmo-Reyes, F. J., Montilla-Rosero, E., Hoyos, C. D., Alados-Arboledas, L., and Guerrero-Rascado, J. L.: Long-term aerosol optical hygroscopicity study at the ACTRIS SIRTA observatory: synergy between ceilometer and in situ measurements, Atmos. Chem. Phys., 19, 7883–7896, https://doi.org/10.5194/acp-19-7883-2019, 2019. 3. Campbell, J. R., Hlavka, D. L., Welton, E. J., Flynn, C. J., Turner, D. D.,
Spinhirne, J. D., Scott, V. S., and Hwang, I. H.: Full-Time, Eye-Safe Cloud
and Aerosol Lidar Observation at Atmospheric Radiation Measurement Program
Sites: Instruments and Data Processing, J. Atmos. Ocean. Tech., 19,
431–442, https://doi.org/10.1175/1520-0426(2002)019<0431:FTESCA>2.0.CO;2, 2002. 4. Carrico, C. M., Kus, P., Rood, M. J., Quinn, P. K., and Bates, T. S.:
Mixtures of pollution, dust, sea salt, and volcanic aerosol during ACE-Asia:
Radiative properties as a function of relative humidity, J. Geophys. Res.,
108, 8650, https://doi.org/10.1029/2003JD003405, 2003. 5. Chatterjee, S. and Hadi, A. S. (Eds.): Simple Linear Regression, in: in Regression Analysis by Example, 4th Edition, John Wiley & Sons, ISBN 0-471-74696-7, 2006.
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|