PollyNET - a network of multiwavelength polarization Raman lidars
Author
Althausen, Dietrich
Engelmann, Ronny
Baars, Holger
Heese, Birgit
Kanitz, Thomas
Komppula, M.
Giannakaki, Eleni
Pfuller, Anne
Maria Silva, Ana
Preiler, Jana
Wagner, Frank
Rascado, Juan Luis
Pereira, Sergio
Lim, Jae Hyun
Young Ahn, Joon
Tesche, Matthias
Stachlewska, Iwona S.
Attention
2299/16327
Abstract
PollyNET is a growing global network of automatized multiwavelength polarization Raman lidars of type Polly (Althausen et al., 2009). The goal of this network is to conduct advanced remote measurements of aerosol profiles and clouds by the same type of instrument. Since 2006 this network assists the controlling and adjustment activities of Polly systems. A central facility receives the data from the Polly measurements. The observational data are displayed in terms of quicklooks at http://polly:tropos. de in near real time. In this way, the network serves as a central information platform for inquisitive scientists. PollyNET comprises permanent stations at Leipzig (Germany), Kuopio (Finland), Evora (Portugal), Baengnyeong Island (South Korea), Stockholm (Sweden), and Warsaw (Poland). Non-permanent stations have been used during several field experiments under both urban and very remote conditions - like the Amazon rainforest. These non-permanent stations were lasting from several weeks up to one year and have been located in Brazil, India, China, South Africa, Chile, and also aboard the German research vessels Polarstern and Meteor across the Atlantic. Within PollyNET the interaction and knowledge exchange is encouraged between the Polly operators. This includes maintenance support in system calibration procedures and distribution of latest hardware and software improvements. This presentation introduces the PollyNET. Main features of the Polly systems will be presented as well as recent instrumental developments. Some measurement highlights achieved within PollyNET are depicted.
Publication date
2013-10-22Published in
Lidar Technologies, Techniques and Measurements for Atmospheric Remote Sensing IXPublished version
https://doi.org/10.1117/12.2028921Other links
http://hdl.handle.net/2299/16327Metadata
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