EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product
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Published:2019-09-23
Issue:18
Volume:19
Page:11743-11764
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Proestakis EmmanouilORCID, Amiridis VassilisORCID, Marinou EleniORCID, Binietoglou IoannisORCID, Ansmann Albert, Wandinger Ulla, Hofer JulianORCID, Yorks John, Nowottnick Edward, Makhmudov Abduvosit, Papayannis AlexandrosORCID, Pietruczuk AleksanderORCID, Gialitaki AnnaORCID, Apituley ArnoudORCID, Szkop Artur, Muñoz Porcar Constantino, Bortoli DanieleORCID, Dionisi DavideORCID, Althausen Dietrich, Mamali Dimitra, Balis DimitrisORCID, Nicolae Doina, Tetoni Eleni, Liberti Gian Luigi, Baars HolgerORCID, Mattis Ina, Stachlewska Iwona SylwiaORCID, Voudouri Kalliopi Artemis, Mona Lucia, Mylonaki MariaORCID, Perrone Maria Rita, Costa Maria JoãoORCID, Sicard MichaelORCID, Papagiannopoulos NikolaosORCID, Siomos Nikolaos, Burlizzi Pasquale, Pauly Rebecca, Engelmann Ronny, Abdullaev SaburORCID, Pappalardo Gelsomina
Abstract
Abstract. We present the evaluation activity of the European
Aerosol Research Lidar Network (EARLINET) for the quantitative assessment of
the Level 2 aerosol backscatter coefficient product derived by the
Cloud-Aerosol Transport System (CATS) aboard the International Space
Station (ISS; Rodier et al., 2015). The study employs correlative CATS and EARLINET backscatter
measurements within a 50 km distance between the ground station and the ISS
overpass and as close in time as possible, typically with the starting time or
stopping time of the EARLINET performed measurement time window within 90 min of the ISS overpass, for the period from February 2015 to September 2016. The results demonstrate the good agreement of the CATS Level 2 backscatter
coefficient and EARLINET. Three ISS overpasses close to the EARLINET
stations of Leipzig, Germany; Évora, Portugal; and Dushanbe, Tajikistan, are
analyzed here to demonstrate the performance of the CATS lidar system under
different conditions. The results show that under cloud-free, relative
homogeneous aerosol conditions, CATS is in good agreement with EARLINET,
independent of daytime and nighttime conditions. CATS low negative biases are
observed, partially attributed to the deficiency of lidar systems to detect
tenuous aerosol layers of backscatter signal below the minimum detection
thresholds; these are biases which may lead to systematic deviations and slight
underestimations of the total aerosol optical depth (AOD) in climate
studies. In addition, CATS misclassification of aerosol layers as clouds,
and vice versa, in cases of coexistent and/or adjacent aerosol and cloud
features, occasionally leads to non-representative, unrealistic, and cloud-contaminated aerosol profiles. Regarding solar illumination conditions, low
negative biases in CATS backscatter coefficient profiles, of the order of
6.1 %, indicate the good nighttime performance of CATS. During daytime,
a reduced signal-to-noise ratio by solar background illumination prevents
retrievals of weakly scattering atmospheric layers that would otherwise be
detectable during nighttime, leading to higher negative biases, of the order
of 22.3 %.
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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