Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/14249
Title: An overview of the first decade of PollyNET: an emerging network of automated Raman-polarization lidars for continuous aerosol profiling
Authors: Baars, Holger 
Kanitz, Thomas 
Engelmann, Ronny 
Althausen, Dietrich 
Heese, Birgit 
Komppula, Mika 
Preißler, Jana 
Tesche, Matthias 
Ansmann, Albert 
Wandinger, Ulla 
Lim, Jae Hyun 
Young Ahn, Joon 
Stachlewska, Iwona S. 
Amiridis, Vassilis 
Marinou, Eleni 
Seifert, Patric 
Hofer, Julian 
Skupin, Annett 
Schneider, Florian 
Bohlmann, Stephanie 
Foth, Andreas 
Bley, Sebastian 
Pfüller, Anne 
Giannakaki, Eleni 
Lihavainen, Heikki 
Viisanen, Yrjö 
Kumar Hooda, Rakesh 
Pereira, Sérgio Nepomuceno 
Bortoli, Daniele 
Wagner, Frank 
Mattis, Ina 
Janicka, Lucja 
Markowicz, Krzysztof M. 
Achtert, Peggy 
Artaxo, Paulo 
Pauliquevis, Theotonio 
Souza, Rodrigo A.F. 
Prakesh Sharma, Ved 
Gideon Van Zyl, Pieter 
Paul Beukes, Johan 
Sun, Junying 
Rohwer, Erich G. 
Deng, Ruru 
Mamouri, Rodanthi-Elisavet 
Zamorano, Felix 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: aerosol;data set;lidar;network analysis;particle size;polarization;real time;seasonal variation;size distribution
Issue Date: 25-Apr-2016
Source: Atmospheric Chemistry and Physics,2016, vol. 16, no. 8, pp. 5111-5137
Volume: 16
Issue: 8
Start page: 5111
End page: 5137
Journal: Atmospheric Chemistry and Physics 
Abstract: © Author(s) 2016. A global vertically resolved aerosol data set covering more than 10 years of observations at more than 20 measurement sites distributed from 63° N to 52° S and 72° W to 124° E has been achieved within the Raman and polarization lidar network PollyNET. This network consists of portable, remote-controlled multiwavelength-polarization-Raman lidars (Polly) for automated and continuous 24/7 observations of clouds and aerosols. PollyNET is an independent, voluntary, and scientific network. All Polly lidars feature a standardized instrument design with different capabilities ranging from single wavelength to multiwavelength systems, and now apply unified calibration, quality control, and data analysis. The observations are processed in near-real time without manual intervention, and are presented online at <a hrefCombining double low line"http://polly.tropos.de/"targetCombining double low line"-blank">http://polly.tropos.de/</a>. The paper gives an overview of the observations on four continents and two research vessels obtained with eight Polly systems. The specific aerosol types at these locations (mineral dust, smoke, dust-smoke and other dusty mixtures, urban haze, and volcanic ash) are identified by their Ångström exponent, lidar ratio, and depolarization ratio. The vertical aerosol distribution at the PollyNET locations is discussed on the basis of more than 55 000 automatically retrieved 30 min particle backscatter coefficient profiles at 532 nm as this operating wavelength is available for all Polly lidar systems. A seasonal analysis of measurements at selected sites revealed typical and extraordinary aerosol conditions as well as seasonal differences. These studies show the potential of PollyNET to support the establishment of a global aerosol climatology that covers the entire troposphere.
ISSN: 1680-7324
DOI: 10.5194/acp-16-5111-2016
Rights: © Copernicus
Type: Article
Affiliation : Cyprus University of Technology 
Leibniz Institute for Tropospheric Research 
Finnish Meteorological Institute 
Évora University 
University of Warsaw 
Stockholm University 
National Observatory of Athens 
University of Sao Paulo 
Federal University of São Paulo at Diadema 
University of the State of Amazonas 
Energy and Resources Institute 
North-West University 
Chinese Academy of Meteorological Sciences 
Stellenbosch University 
University of Leipzig 
Sun Yat-sen University 
University of Magallanes 
Deutscher Wetterdienst, Observatorium Hohenpeißenberg 
Aristotle University of Thessaloniki 
European Space Agency 
National University of Ireland Galway 
University of Hertfordshire 
University of Leeds 
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