Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/25888

Title: EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product
Authors: Proestakis, Emmanouil
Amiridis, Vassilis
Marinou, Eleni
Binietoglou, Ioannis
Ansmann, Albert
Wandinger, Ulla
Hofer, Julian
Yorks, John
Nowottnick, Edward
Makhmudov, Abduvosit
Papayannis, Alexandros
Pietruczuk, Aleksander
Gialitaki, Anna
Apituley, Arnoud
Szkop, Artur
Muñoz Porcar, Constantino
Bortoli, Daniele
Dionisi, Davide
Althausen, Dietrich
Mamali, Dimitra
Balis, Dimitris
Nicolae, Doina
Tetoni, Eleni
Liberti, Gian Luigi
Baars, Holger
Mattis, Ina
Stachlewska, Iwona Sylwia
Voudouri, Kalliopi Artemis
Mona, Lucia
Mylonaki, Maria
Perrone, Maria Rita
Costa, Maria João
Sicard, Michael
Papagiannopoulos, Nikolaos
Siomos, Nikolaos
Burlizzi, Pasquale
Pauly, Rebecca
Engelmann, Ronny
Abdullaev, Sabur
Pappalardo, Gelsomina
Keywords: Lidar
EARLINET
aerosol backscatter coefficient
Issue Date: Sep-2019
Publisher: European Geophysical Union -EGU
Citation: Proestakis, E., Amiridis, V., Marinou, E., Binietoglou, I., Ansmann, A., Wandinger, U., Hofer, J., Yorks, J., Nowottnick, E., Makhmudov, A., Papayannis, A., Pietruczuk, A., Gialitaki, A., Apituley, A., Szkop, A., Muñoz Porcar, C., Bortoli, D., Dionisi, D., Althausen, D., Mamali, D., Balis, D., Nicolae, D., Tetoni, E., Liberti, G. L., Baars, H., Mattis, I., Stachlewska, I. S., Voudouri, K. A., Mona, L., Mylonaki, M., Perrone, M. R., Costa, M. J., Sicard, M., Papagiannopoulos, N., Siomos, N., Burlizzi, P., Pauly, R., Engelmann, R., Abdullaev, S., and Pappalardo, G.: EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product, Atmos. Chem. Phys., 19, 11743–11764, https://doi.org/10.5194/acp-19-11743-2019, 2019.
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 %.
URI: https://www.atmos-chem-phys.net/19/11743/2019/acp-19-11743-2019.html
http://hdl.handle.net/10174/25888
Type: article
Appears in Collections:CGE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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