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Title: EARLINET: potential operationality of a research network
Authors: Sicard, M. 
Amico, G. D. 
Comerón, A. 
Mona, L. 
Alados-Arboledas, L. 
Amodeo, A. 
Baars, H. 
Baldasano, J. M. 
Belegante, L. 
Binietoglou, I. 
Bravo-Aranda, J. A. 
Fernández, A. J. 
Fréville, P. 
García-Vizcaíno, D. 
Giunta, A. 
Granados-Muñoz, M. J. 
Guerrero-Rascado, J. L. 
Hadjimitsis, Diofantos G. 
Haefele, A. 
Hervo, M. 
Iarlori, M. 
Kokkalis, P. 
Lange, D. 
Mamouri, Rodanthi-Elisavet 
Mattis, I. 
Molero, F. 
Montoux, N. 
Muñoz, A. 
Porcar, C. Muñoz 
Navas-Guzmán, F. 
Nicolae, D. 
Nisantzi, Argyro 
Papagiannopoulos, N. 
Papayannis, A. 
Pereira, S. 
Preißler, J. 
Pujadas, M. 
Rizi, V. 
Rocadenbosch, F. 
Sellegri, K. 
Simeonov, V. 
Tsaknakis, G. 
Wagner, F. 
Pappalardo, G. 
Major Field of Science: Engineering and Technology
Field Category: Environmental Engineering
Keywords: EARLINET;Single calculus chain (SCC)
Issue Date: Jul-2015
Source: Atmospheric Measurement Techniques, vol. 8, no. 11, pp. 6599-6659
Volume: 8
Issue: 11
Start page: 6599
End page: 6659
Project: ACTRIS PPP - Aerosols, Clouds and Trace gases Preparatory Phase Project 
Journal: Atmospheric Measurement Techniques 
Abstract: In the framework of ACTRIS (Aerosols, Clouds, and Trace Gases Research Infrastructure Network) summer 2012 measurement campaign (8 June–17 July 2012), EARLINET organized and performed a controlled exercise of feasibility to demonstrate its potential to perform operational, coordinated measurements and deliver products in near-real time. Eleven lidar stations participated in the exercise which started on 9 July 2012 at 06:00 UT and ended 72 h later on 12 July at 06:00 UT. For the first time, the single calculus chain (SCC) – the common calculus chain developed within EARLINET for the automatic evaluation of lidar data from raw signals up to the final products – was used. All stations sent in real-time measurements of a 1 h duration to the SCC server in a predefined netcdf file format. The pre-processing of the data was performed in real time by the SCC, while the optical processing was performed in near-real time after the exercise ended. 98 and 79 % of the files sent to SCC were successfully pre-processed and processed, respectively. Those percentages are quite large taking into account that no cloud screening was performed on the lidar data. The paper draws present and future SCC users' attention to the most critical parameters of the SCC product configuration and their possible optimal value but also to the limitations inherent to the raw data. The continuous use of SCC direct and derived products in heterogeneous conditions is used to demonstrate two potential applications of EARLINET infrastructure: the monitoring of a Saharan dust intrusion event and the evaluation of two dust transport models. The efforts made to define the measurements protocol and to configure properly the SCC pave the way for applying this protocol for specific applications such as the monitoring of special events, atmospheric modeling, climate research and calibration/validation activities of spaceborne observations
ISSN: 4587–4613
DOI: 10.5194/amt-8-4587-2015
Rights: © Author(s). This work is distributed under the Creative Commons Attribution 3.0 License
Attribution-NonCommercial-NoDerivs 3.0 United States
Type: Article
Affiliation : Universitat Politècnica de Catalunya 
Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA) 
Universidad de Granada 
Leibniz Institute for Tropospheric Research 
Barcelona Supercomputing Center 
Technical University of Catalonia 
National Institute of R&D for Optoelectronics 
École Polytechnique 
Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT) 
Laboratoire de Météorologie Physique (LaMP-CNRS) 
Cyprus University of Technology 
Federal Office of Meteorology and Climatology MeteoSwiss 
Universita Cattolica del Sacro Cuore 
National Technical University Of Athens 
Deutscher Wetterdienst, Observatorium Hohenpeißenberg 
University of Bern 
Évora Geophysics Center, University of Évora 
Centre for Climate and Air Pollution Studies (C-CAPS), National University of Ireland Galway 
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