Optimization of lidar data processing: A goal of the EARLINET-ASOS project

Amodeo, A; Mattis, I; Bockmann, C; D'Amico, G; Mullerb, D; Osterloh, L; Chaikovsky, A; Pappalardo, G; Ansmann, A; Apituley, A; Alados-Arboledas, L; Balis, D; Comeron, A; Freudenthaler, V; Mitev, V; Nicolae, D; Papayannis, A; Perrone, MR; Pietruczuk, A; Pujadas, M; Putaud, J-P; Ravetta, F; Rizi, V; Simeonov, V; Spinelli, N; Stebel, K; Stoyanov, D; Trickl, T; Wiegner, M

dc.contributor.author	Amodeo, A	en
dc.contributor.author	Mattis, I	en
dc.contributor.author	Bockmann, C	en
dc.contributor.author	D'Amico, G	en
dc.contributor.author	Mullerb, D	en
dc.contributor.author	Osterloh, L	en
dc.contributor.author	Chaikovsky, A	en
dc.contributor.author	Pappalardo, G	en
dc.contributor.author	Ansmann, A	en
dc.contributor.author	Apituley, A	en
dc.contributor.author	Alados-Arboledas, L	en
dc.contributor.author	Balis, D	en
dc.contributor.author	Comeron, A	en
dc.contributor.author	Freudenthaler, V	en
dc.contributor.author	Mitev, V	en
dc.contributor.author	Nicolae, D	en
dc.contributor.author	Papayannis, A	en
dc.contributor.author	Perrone, MR	en
dc.contributor.author	Pietruczuk, A	en
dc.contributor.author	Pujadas, M	en
dc.contributor.author	Putaud, J-P	en
dc.contributor.author	Ravetta, F	en
dc.contributor.author	Rizi, V	en
dc.contributor.author	Simeonov, V	en
dc.contributor.author	Spinelli, N	en
dc.contributor.author	Stebel, K	en
dc.contributor.author	Stoyanov, D	en
dc.contributor.author	Trickl, T	en
dc.contributor.author	Wiegner, M	en
dc.date.accessioned	2014-03-01T02:51:09Z
dc.date.available	2014-03-01T02:51:09Z
dc.date.issued	2007	en
dc.identifier.issn	0277786X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35399
dc.subject	Aerosol	en
dc.subject	EARLINET	en
dc.subject	Lidar	en
dc.subject	Network	en
dc.subject	Retrieval	en
dc.subject.other	Continental scale	en
dc.subject.other	Continuous observations	en
dc.subject.other	Data sets	en
dc.subject.other	EARLINET	en
dc.subject.other	Global environments	en
dc.subject.other	High qualities	en
dc.subject.other	Lidar	en
dc.subject.other	Microphysical properties	en
dc.subject.other	Network	en
dc.subject.other	Observation systems	en
dc.subject.other	Processing chains	en
dc.subject.other	Raw signals	en
dc.subject.other	Real time	en
dc.subject.other	Retrieval	en
dc.subject.other	Satellite missions	en
dc.subject.other	Scientific communities	en
dc.subject.other	Atmospheric aerosols	en
dc.subject.other	Optical properties	en
dc.subject.other	Optical radar	en
dc.subject.other	Optimization	en
dc.subject.other	Remote sensing	en
dc.subject.other	Data processing	en
dc.title	Optimization of lidar data processing: A goal of the EARLINET-ASOS project	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1117/12.738348	en
heal.identifier.secondary	http://dx.doi.org/10.1117/12.738348	en
heal.identifier.secondary	67500F	en
heal.publicationDate	2007	en
heal.abstract	EARLINET-ASOS (European Aerosol Research Lidar Network - Advanced Sustainable Observation System) is a 5-year EC Project started in 2006. Based on the EARLINET infrastructure, it will provide appropriate tools to improve the quality and availability of the continuous observations. The EARLINET multi-year continental scale data set is an excellent instrument to assess the impact of aerosols on the European and global environment and to support future satellite missions. The project is addressed in optimizing instruments and algorithms existing within EARLINET-ASOS, exchanging expertise, with the main goal to build a database with high quality aerosol data. In particular, the optimization of the algorithms for the retrieval of the aerosol optical and microphysical properties is a crucial activity. The main objective is to provide all partners with the possibility to use a common processing chain for the evaluation of their data, from raw signals to final products. Raw signals may come from different types of systems, and final products are profiles of optical properties, like backscatter and extinction, and, if the instrument properties permit, of microphysical properties. This will have a strong impact on the scientific community because data with homogeneous well characterized quality will be made available in nearly real time.	en
heal.journalName	Proceedings of SPIE - The International Society for Optical Engineering	en
dc.identifier.doi	10.1117/12.738348	en
dc.identifier.volume	6750	en