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Title: Towards Early Detection of Tropospheric Aerosol Layers Using Monitoring with Ceilometer, Photometer, and Air Mass Trajectories
Authors: Adam, Mariana 
Fragkos, Konstantinos 
Binietoglou, Ioannis 
Wang, Dongxiang 
Stachlewska, Iwona S. 
Belegante, Livio 
Nicolae, Victor 
Major Field of Science: Natural Sciences;Engineering and Technology
Keywords: Back-trajectories;Ceilometer;Early detection system;Near-real-time monitoring;Photometer
Issue Date: 1-Mar-2022
Source: Remote Sensing, 2022, vol 14, iss. 5
Volume: 14
Issue: 5
Journal: Remote Sensing 
Abstract: A near-real-time automatic detection system, based on the synergy of continuous measurements taken by a ceilometer and a photometer, has been implemented in order to detect lofted atmospheric aerosol layers and estimate the aerosol load. When heavy-loaded conditions are detected (defined by a significant deviation of the optical properties from a 10-year climatology), obtained for aerosol layers above 2500 m, an automatic alert is sent to scientists of the Romanian Lidar Network (ROLINET) to further monitor the event. The Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) back-trajectory calculations are used to establish the possible pollution source. The aerosol transport events are considered to be major when various optical properties provided by the photometer are found outside the climatological values. The aerosol types over the three years for all the events identified revealed that the contribution to the pollution was 31%, 9%, and 60% from marine, dust, and continental types. Considering only the ‘outside climatology limits’ events, the respective contribution was 15%, 12%, and 73% for marine, dust, and continental types, respectively.
ISSN: 20724292
DOI: 10.3390/rs14051217
Rights: © by the authors
Type: Article
Affiliation : National Institute of Research and Development for Optoelectronics INOE 2000 
National Observatory of Athens 
University of Warsaw 
SEPCOIII Electric Power Construction Co. 
Appears in Collections:Άρθρα/Articles

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