The Greek National Infrastructure Project PANACEA has officialy started on 03/09/2018
EOLE QUICKLOOKS
http://www.physics.ntua.gr/~papayannis/quick_looks_EOLUS/quick_looks.html
LRSU was recently admitted as Associated Partner of the ESFRI (European Strategy Forum on Research Infrastructure) Roadmap for world-class Research Infrastructure, as part of the ACTRIS 2 Project (EU Horizon 2020).
Prof. Alex PAPAYANNIS was elected President of the ICLAS (International Coordination group for Laser Atmospheric Studies) (2015-2021)
LRSU is member of the PANACEA Consortium of the National Roadmap for Research Infrast
Continuous Atmospheric and Air Pollution Measurements, Monitoring of Aerosol, Ozone and Water Vapor using LIDAR/DIAL systems, Real-time data analysis and visualization services, Software development/lidar data processing algorithms, Installation, Upgrade and Re-location of LIDAR/DIAL systems, etc.
The Greek National Infrastructure Project PANACEA has officialy started on 03/09/2018
EOLE QUICKLOOKS
http://www.physics.ntua.gr/~papayannis/quick_looks_EOLUS/quick_looks.html
Title | Lidar algorithms in 3D scanning for atmospheric layering and planetary boundary layer height retrieval: comparison with other techniques |
Publication Type | Journal Article |
Year of Publication | 2018 |
Authors | Pantazis, A, Papayannis, A, Georgousis, G |
Journal | Appl. Opt. |
Volume | 57 |
Pagination | 8199–8211 |
Date Published | Oct |
Keywords | Atmospheric propagation, Differential absorption lidar, Extinction coefficients, Mie theory, Optical depth, Remote sensing |
Abstract | The planetary boundary layer height (PBLH), of great importance in meteorology and atmospheric physics, is strongly correlated with the geographical location, the solar irradiance, the seasonal variations, and the variability of the weather phenomena. So far, several lidar techniques have been developed to detect the PBLH, besides the radio soundings, sodars, or other techniques. In this work we propose new algorithms to provide the PBLH in near real time using a three-dimensional lidar in vertical or slant pointing. We show that the proposed variable space–time and vertical decision algorithms are able to estimate the PBLH under various meteorological conditions of more than 80% of the cases studied. Furthermore, these algorithms are user friendly (user adjustable), and they work automatically at any location and period of the year for any vertically/slant pointing lidar system. These algorithms are extremely helpful for meteorologists, airport tower controllers, and atmospheric scientists and in general for the remote sensing community. |
URL | http://ao.osa.org/abstract.cfm?URI=ao-57-28-8199 |
DOI | 10.1364/AO.57.008199 |