Report
EARLINET Evaluation of the CATS L2 Aerosol Backscatter Coefficient Product
العنوان: | EARLINET Evaluation of the CATS L2 Aerosol Backscatter Coefficient Product |
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المؤلفون: | Emmanouil Proestakis, Vassilis Amiridis, Eleni Marinou, Ioannis Binietoglou, Albert Ansmann, Ulla Wandinger, Julian Hofer, John Yorks, Edward Nowottnick, Abduvosit Makhmudov, Alexandros Papayannis, Aleksander Pietruczuk, Anna Gialitaki, Arnoud Apituley, Artur Szkop, Constantino Muñoz Porcar, Daniele Bortoli, Davide Dionisi, Dietrich Althausen, Dimitra Mamali, Dimitris Balis, Doina Nicolae, Eleni Tetoni, Gian Luigi Liberti, Holger Baars, Ina Mattis, Iwona S. Stachlewska, Kalliopi Artemis Voudouri, Lucia Mona, Maria Mylonaki, Maria Rita Perrone, Maria João Costa, Michael Sicard, Nikolaos Papagiannopoulos, Nikolaos Siomos, Pasquale Burlizzi, Rebecca Pauly, Ronny Engelmann, Sabur F. Abdullaev, Gelsomina Pappalardo |
المصدر: | Atmospheric Chemistry and Physics. 19(19) |
بيانات النشر: | United States: NASA Center for Aerospace Information (CASI), 2019. |
سنة النشر: | 2019 |
مصطلحات موضوعية: | Earth Resources And Remote Sensing |
الوصف: | 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) onboard the International Space Station (ISS). The study employs correlative CATS and EARLINET backscatter measurements within 50km distance between the ground station and the ISS overpass and as close in time as possible, typically within 90min, from February 2015 to September 2016. The results demonstrate the good agreement of CATS Level 2 backscatter coefficient and EARLINET. Three ISS overpasses close to the EARLINET stations of Leipzig-Germany, Évora-Portugal and Dushanbe-Tajikistan are analysed here to demonstrate the performance of CATS lidar system under different conditions. The results show that under cloud-free, relative homogeneous aerosol conditions CATS is in good agreement with EARLINET, independently of daytime/nighttime conditions. CATS low negative biases, partially attributed to the deficiency of lidar systems to detect tenuous aerosol layers of backscatter signal below the minimum detection thresholds, 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, may lead to non-representative, unrealistic and cloud contaminated aerosol profiles. The distributions of backscatter coefficient biases show the relatively good agreement between the CATS and EARLINET measurements, although on average underestimations are observed, 22.3% during daytime and 6.1% during nighttime. |
نوع الوثيقة: | Report |
اللغة: | English |
تدمد: | 1680-7324 1680-7316 |
DOI: | 10.5194/acp-2019-45 |
URL الوصول: | https://ntrs.nasa.gov/citations/20190029642 |
ملاحظات: | NNG11HP16A |
رقم الانضمام: | edsnas.20190029642 |
قاعدة البيانات: | NASA Technical Reports |
تدمد: | 16807324 16807316 |
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DOI: | 10.5194/acp-2019-45 |