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Giuseppe D'Amico
Consiglio Nazionale delle Ricerche, Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), Tito, Italy

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Research article
Published: 19 March 2021 in Atmospheric Chemistry and Physics
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The atmospheric boundary layer (ABL) represents the lowermost part of the atmosphere directly in contact with the Earth's surface. The estimation of its depth is of crucial importance in meteorology and for anthropogenic pollution studies. ABL height (ABLH) measurements are usually far from being adequate, both spatially and temporally. Thus, different remote sensing sources can be of great help in growing both the spatial and temporal ABLH measurement capabilities. To this aim, aerosol backscatter profiles are widely used as a proxy to retrieve the ABLH. Hence, the scientific community is making remarkable efforts in developing automatic ABLH retrieval algorithms applied to lidar observations. In this paper, we propose a ABLH estimation algorithm based on image processing techniques applied to the composite image of the total attenuated backscatter coefficient. A pre-processing step is applied to the composite total backscatter image based on morphological filters to properly set-up and adjust the image to detect edges. As final step, the detected edges are post-processed through both mathematical morphology and an object-based analysis. The performance of the proposed approach is assessed on real data acquired by two different lidar systems, deployed in Potenza (Italy) and Évora (Portugal), belonging to the European Aerosol Research Lidar Network (EARLINET). The proposed approach has shown higher performance than the benchmark consisting of some state-of-the-art ABLH estimation methods.

ACS Style

Gemine Vivone; Giuseppe D'Amico; Donato Summa; Simone Lolli; Aldo Amodeo; Daniele Bortoli; Gelsomina Pappalardo. Atmospheric boundary layer height estimation from aerosol lidar: a new approach based on morphological image processing techniques. Atmospheric Chemistry and Physics 2021, 21, 4249 -4265.

AMA Style

Gemine Vivone, Giuseppe D'Amico, Donato Summa, Simone Lolli, Aldo Amodeo, Daniele Bortoli, Gelsomina Pappalardo. Atmospheric boundary layer height estimation from aerosol lidar: a new approach based on morphological image processing techniques. Atmospheric Chemistry and Physics. 2021; 21 (6):4249-4265.

Chicago/Turabian Style

Gemine Vivone; Giuseppe D'Amico; Donato Summa; Simone Lolli; Aldo Amodeo; Daniele Bortoli; Gelsomina Pappalardo. 2021. "Atmospheric boundary layer height estimation from aerosol lidar: a new approach based on morphological image processing techniques." Atmospheric Chemistry and Physics 21, no. 6: 4249-4265.

Preprint content
Published: 04 March 2021
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In December 2019, a contract between CNR and ECMWF was signed for a pilot ACTRIS/EARLINET data provision to the Copernicus Atmosphere Monitoring Service (CAMS). Such pilot contract (CAMS21b) aims to put in place a first data provision for a set of selected stations and it will demonstrate the feasibility of fully traceable and quality-controlled data provision for the whole network.

In CAMS21b, the main effort is devoted to design, test and set up the provision of quality-controlled ACTRIS/EARLINET products in Real Real Time (RRT) and/or Near Real Time (NRT) to CAMS. The activities are focused on the automatic centralized data processing and data provision, ensuring the full traceability of the products from the data acquisition level up to the final quality-controlled data level. Most of the activities are done at ARES, the EARLINET/ACTRIS data center node at CNR, for assuring the centralized, harmonized and quality-controlled processing in compliance with FAIR principles.

New modules and submodules of the ACTRIS/EARLINET Single Calculus Chain (SCC) as well as optimized algorithms for cloud screening have been designed. Additional procedures were implemented for improving the quality of the data provided in NRT, but also for the quality control of the Level 2 products which are delivered with a time delay.

The release of a new version of SCC and of QC procedure is planned for mid-February.

The data provision started in October 2020 at the test site of Potenza. A system has been set up for measurement reporting and monitoring of KPIs (Key Performance Indicators). After 3 months of measurements, the overall data provision system showed no critical points.

In January 2021, the provision started for a group of 9 stations which are seen as representative for the whole network in terms of instrumental capability, but also ensuring a good geographical coverage of the European continent.

In order to accommodate also measurements from non-continuous operation systems, a measurement schedule has been set up, compromising between the need of a large number of measurements and costs/efforts at each station. The measurement schedule has been designed through a representativeness study and foresees 6 slots of measurements per week, 3 in daytime and 3 in nighttime conditions.

The successful implementation of the pilot allows the provision of aerosol optical property profiles to the CAMS services. from a set of observational sites distributed over the different European regions. These profiles is expected to be of interest for the assimilation, near real time evaluation and re-analysis evaluation of several CAMS products, including the aerosol load over Europe for air quality issues, atmospheric composition, climate forcing and solar and UV products. This allows for having a systematic solution for looking into specific events as they develop (e.g. the dust plume that you investigated earlier this month or the Californian fires in September), supporting or contradicting model forecasts. This pilot is the first provision of aerosol profiles from a high-quality ground-based network in NRT for this kind of applications. It is expected that these efforts will be continued in the next phase of CAMS/Copernicus (2021-2027).

ACS Style

Lucia Mona; Giuseppe D'Amico; Simone Gagliardi; Francesco Amato; Aldo Amodeo; Sergio Ciamprone; Benedetto De Rosa; Ermann Ripepi; Donato Summa; Lucas Alados-Arboledas; Vassilis Amiridis; Holger Baars; Mika Kompula; Ina Mattis; Doina Nicolae; Christoper Pietras; Iwona S. Stachlewska; Vincent Henri Peuch. Pilot provision of EARLINET/ACTRIS lidar profiles to CAMS. 2021, 1 .

AMA Style

Lucia Mona, Giuseppe D'Amico, Simone Gagliardi, Francesco Amato, Aldo Amodeo, Sergio Ciamprone, Benedetto De Rosa, Ermann Ripepi, Donato Summa, Lucas Alados-Arboledas, Vassilis Amiridis, Holger Baars, Mika Kompula, Ina Mattis, Doina Nicolae, Christoper Pietras, Iwona S. Stachlewska, Vincent Henri Peuch. Pilot provision of EARLINET/ACTRIS lidar profiles to CAMS. . 2021; ():1.

Chicago/Turabian Style

Lucia Mona; Giuseppe D'Amico; Simone Gagliardi; Francesco Amato; Aldo Amodeo; Sergio Ciamprone; Benedetto De Rosa; Ermann Ripepi; Donato Summa; Lucas Alados-Arboledas; Vassilis Amiridis; Holger Baars; Mika Kompula; Ina Mattis; Doina Nicolae; Christoper Pietras; Iwona S. Stachlewska; Vincent Henri Peuch. 2021. "Pilot provision of EARLINET/ACTRIS lidar profiles to CAMS." , no. : 1.

Journal article
Published: 11 February 2021 in Sensors
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This paper aims to quantify the improvement obtained with a purely rotational Raman (PRR) channel over a vibro-rotational Raman (VRR) channel, used in an aerosol lidar with elastic and Raman channels, in terms of signal-to-noise ratio (SNR), effective vertical resolution, and absolute and relative uncertainties associated to the retrieved aerosol optical (extinction and backscatter) coefficients. Measurements were made with the European Aerosol Research Lidar Network/Universitat Politècnica de Catalunya (EARLINET/UPC) multi-wavelength lidar system enabling a PRR channel at 353.9 nm, together with an already existing VRR (386.7 nm) and an elastic (354.7 nm) channels. Inversions were performed with the EARLINET Single Calculus Chain (SCC). When using PRR instead of VRR, the measurements show a gain in SNR of a factor 2.8 and about 7.6 for 3-h nighttime and daytime measurements, respectively. For 3-h nighttime (daytime) measurements the effective vertical resolution is reduced by 17% (20%), the absolute uncertainty (associated to the extinction) is divided by 2 (10) and the relative uncertainty is divided by 3 (7). During daytime, VRR extinction coefficient is retrieved in a limited height range (<2.2 km) preventing the SCC from finding a suitable calibration range in the search height range. So the advantage of using PRR instead of VRR is particularly evidenced in daytime conditions. For nighttime measurements, decreasing the time resolution from 3 to 1 h has nearly no effect on the relative performances of PRR vs. VRR.

ACS Style

José Zenteno-Hernández; Adolfo Comerón; Alejandro Rodríguez-Gómez; Constantino Muñoz-Porcar; Giuseppe D’Amico; Michaël Sicard. A Comparative Analysis of Aerosol Optical Coefficients and Their Associated Errors Retrieved from Pure-Rotational and Vibro-Rotational Raman Lidar Signals. Sensors 2021, 21, 1277 .

AMA Style

José Zenteno-Hernández, Adolfo Comerón, Alejandro Rodríguez-Gómez, Constantino Muñoz-Porcar, Giuseppe D’Amico, Michaël Sicard. A Comparative Analysis of Aerosol Optical Coefficients and Their Associated Errors Retrieved from Pure-Rotational and Vibro-Rotational Raman Lidar Signals. Sensors. 2021; 21 (4):1277.

Chicago/Turabian Style

José Zenteno-Hernández; Adolfo Comerón; Alejandro Rodríguez-Gómez; Constantino Muñoz-Porcar; Giuseppe D’Amico; Michaël Sicard. 2021. "A Comparative Analysis of Aerosol Optical Coefficients and Their Associated Errors Retrieved from Pure-Rotational and Vibro-Rotational Raman Lidar Signals." Sensors 21, no. 4: 1277.

Journal article
Published: 04 December 2020 in Remote Sensing
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A long-term analysis and climatology of aerosol backscatter and extinction coefficients profiles using a five-year study period lidar dataset derived from a multiwavelenth Raman lidar at Thessaloniki station is presented. All measurements have been processed with the latest version of the Single Calculus Chain (SCCv5.1.6) fully automated algorithm, which has been developed to provide a common lidar processing tool, within EARLINET (European Aerosol Research Lidar NETwork) stations. The optical products delivered by the SCC tool have already been compared with the optical products derived from the operational algorithm of Thessaloniki (THessaloniki Aerosol LIdar Algorithm-THALIA) and discussed in terms of inhomogeneities. In this contribution, we analyze these products for climatological purposes, in order to investigate the aerosol columnar properties over Thessaloniki lidar station, drawing conclusions about the issues to be considered when switching from the current operational algorithm to the SCCv5. The SCCv5 algorithm is evaluated for the AOD both for 355 and 532 nm. The agreement with THALIA algorithm seems promising with correlations of 0.89 and 0.84, respectively, and absolute deviations within the range of the EARLINET quality requirements. Time series of the AOD at 355 nm denote a decrease of 0.017 per year in the free troposphere, a trend that is also shown in the AOD values derived from the operational algorithm (0.014). A decrease of 0.01 per year in the lower troposphere is also noted from the SCC, whereas the corresponding AOD values derived from the operational algorithm denote a decrease of 0.017.

ACS Style

Kalliopi Voudouri; Nikolaos Siomos; Konstantinos Michailidis; Giuseppe D’Amico; Ina Mattis; Dimitris Balis. Consistency of the Single Calculus Chain Optical Products with Archived Measurements from an EARLINET Lidar Station. Remote Sensing 2020, 12, 3969 .

AMA Style

Kalliopi Voudouri, Nikolaos Siomos, Konstantinos Michailidis, Giuseppe D’Amico, Ina Mattis, Dimitris Balis. Consistency of the Single Calculus Chain Optical Products with Archived Measurements from an EARLINET Lidar Station. Remote Sensing. 2020; 12 (23):3969.

Chicago/Turabian Style

Kalliopi Voudouri; Nikolaos Siomos; Konstantinos Michailidis; Giuseppe D’Amico; Ina Mattis; Dimitris Balis. 2020. "Consistency of the Single Calculus Chain Optical Products with Archived Measurements from an EARLINET Lidar Station." Remote Sensing 12, no. 23: 3969.

Preprint content
Published: 25 September 2020
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The Atmospheric Boundary Layer (ABL) represents the lowermost part of the atmosphere directly in contact with the Earth surface. The estimation of its depth is of crucial importance in meteorology and for anthropogenic pollution studies. The ABL Height (ABLH) measurements are usually far from being adequate, both spatially and temporally. Thus, different remote sensing sources can be of great help in growing both the spatial and temporal ABLH measurement capabilities. To this aim, aerosol backscatter profiles are widely used as proxy to retrieve the ABLH. Hence, the scientific community is making remarkable efforts in developing automatic ABLH retrieval algorithms applied to lidar observations. In this paper, we propose a ABLH estimation algorithm based on image processing techniques applied to the composite image of the total attenuated backscatter coefficient. A pre-processing step is applied to the composite total backscatter image based on morphological filters to properly set-up and adjust the image to detect edges. As final step, the detected edges are post-processed through both mathematical morphology and an object-based analysis. The performance of the proposed approach is assessed on real data acquired by two different lidar systems, deployed in Potenza (Italy) and Evora (Portugal), belonging to the EARLINET network. The proposed approach has shown higher performance than the benchmark consisting of some state-of-the-art ABLH estimation methods.

ACS Style

Gemine Vivone; Giuseppe D'Amico; Donato Summa; Simone Lolli; Aldo Amodeo; Daniele Bortoli; Gelsomina Pappalardo. Atmospheric Boundary Layer height estimation from aerosol lidar: a new approach based on morphological image processing techniques. 2020, 2020, 1 -37.

AMA Style

Gemine Vivone, Giuseppe D'Amico, Donato Summa, Simone Lolli, Aldo Amodeo, Daniele Bortoli, Gelsomina Pappalardo. Atmospheric Boundary Layer height estimation from aerosol lidar: a new approach based on morphological image processing techniques. . 2020; 2020 ():1-37.

Chicago/Turabian Style

Gemine Vivone; Giuseppe D'Amico; Donato Summa; Simone Lolli; Aldo Amodeo; Daniele Bortoli; Gelsomina Pappalardo. 2020. "Atmospheric Boundary Layer height estimation from aerosol lidar: a new approach based on morphological image processing techniques." 2020, no. : 1-37.

Journal article
Published: 15 September 2020 in Atmospheric Chemistry and Physics
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A stand-alone lidar-based method for detecting airborne hazards for aviation in near real time (NRT) is presented. A polarization lidar allows for the identification of irregular-shaped particles such as volcanic dust and desert dust. The Single Calculus Chain (SCC) of the European Aerosol Research Lidar Network (EARLINET) delivers high-resolution preprocessed data: the calibrated total attenuated backscatter and the calibrated volume linear depolarization ratio time series. From these calibrated lidar signals, the particle backscatter coefficient and the particle depolarization ratio can be derived in temporally high resolution and thus provide the basis of the NRT early warning system (EWS). In particular, an iterative method for the retrieval of the particle backscatter is implemented. This improved capability was designed as a pilot that will produce alerts for imminent threats for aviation. The method is applied to data during two diverse aerosol scenarios: first, a record breaking desert dust intrusion in March 2018 over Finokalia, Greece, and, second, an intrusion of volcanic particles originating from Mount Etna, Italy, in June 2019 over Antikythera, Greece. Additionally, a devoted observational period including several EARLINET lidar systems demonstrates the network's preparedness to offer insight into natural hazards that affect the aviation sector.

ACS Style

Nikolaos Papagiannopoulos; Giuseppe D'Amico; Anna Gialitaki; Nicolae Ajtai; Lucas Alados-Arboledas; Aldo Amodeo; Vassilis Amiridis; Holger Baars; Dimitris Balis; Ioannis Binietoglou; Adolfo Comerón; Davide Dionisi; Alfredo Falconieri; Patrick Fréville; Anna Kampouri; Ina Mattis; Zoran Mijić; Francisco Molero; Alex Papayannis; Gelsomina Pappalardo; Alejandro Rodríguez-Gómez; Stavros Solomos; Lucia Mona. An EARLINET early warning system for atmospheric aerosol aviation hazards. Atmospheric Chemistry and Physics 2020, 20, 10775 -10789.

AMA Style

Nikolaos Papagiannopoulos, Giuseppe D'Amico, Anna Gialitaki, Nicolae Ajtai, Lucas Alados-Arboledas, Aldo Amodeo, Vassilis Amiridis, Holger Baars, Dimitris Balis, Ioannis Binietoglou, Adolfo Comerón, Davide Dionisi, Alfredo Falconieri, Patrick Fréville, Anna Kampouri, Ina Mattis, Zoran Mijić, Francisco Molero, Alex Papayannis, Gelsomina Pappalardo, Alejandro Rodríguez-Gómez, Stavros Solomos, Lucia Mona. An EARLINET early warning system for atmospheric aerosol aviation hazards. Atmospheric Chemistry and Physics. 2020; 20 (18):10775-10789.

Chicago/Turabian Style

Nikolaos Papagiannopoulos; Giuseppe D'Amico; Anna Gialitaki; Nicolae Ajtai; Lucas Alados-Arboledas; Aldo Amodeo; Vassilis Amiridis; Holger Baars; Dimitris Balis; Ioannis Binietoglou; Adolfo Comerón; Davide Dionisi; Alfredo Falconieri; Patrick Fréville; Anna Kampouri; Ina Mattis; Zoran Mijić; Francisco Molero; Alex Papayannis; Gelsomina Pappalardo; Alejandro Rodríguez-Gómez; Stavros Solomos; Lucia Mona. 2020. "An EARLINET early warning system for atmospheric aerosol aviation hazards." Atmospheric Chemistry and Physics 20, no. 18: 10775-10789.

Preprint content
Published: 27 February 2020
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A stand-alone lidar-based method for detecting airborne hazards for aviation in near-real-time (NRT) is presented. A polarization lidar allows for the identification of irregular-shaped particles such as volcanic dust and desert dust. The Single Calculus Chain (SCC) of the European Aerosol Lidar Network (EARLINET) delivers high resolution pre-processed data: the calibrated total attenuated backscatter and the calibrated volume linear depolarization ratio time series. From these calibrated lidar signals, the particle backscatter coefficient and the particle depolarization ratio can be derived in temporally-high resolution, and thus provide the basis of the NRT Early Warning System (EWS). In particular, an iterative method for the retrieval of the particle backscatter is implemented. This improved capability was designed as a pilot that will produce alerts for imminent threats for aviation. The method is applied to data during two diverse aerosol scenarios: first, a record breaking desert dust intrusion in March 2018 over Finokalia, Greece, and, second, an intrusion of volcanic particles originating from Mount Etna in June 2019 over Antikythera, Greece. Additionally, a devoted observational period including several EARLINET lidar systems demonstrates the network's preparedness to offer insight into natural hazards that affect the aviation sector.

ACS Style

Nikolaos Papagiannopoulos; Giuseppe D'Amico; Anna Gialitaki; Nicolae Ajtai; Lucas Alados-Arboledas; Aldo Amodeo; Vassilis Amiridis; Holger Baars; Dimitris Balis; Ioannis Binietoglou; Adolfo Comerón; Davide Dionisi; Alfredo Falconieri; Patrick Fréville; Anna Kampouri; Inna Mattis; Zoran Mijić; Francisco Molero; Alex Papayannis; Gelsomina Pappalardo; Alejandro Rodríguez-Gómez; Stavros Solomos; Lucia Mona. An EARLINET Early Warning System for atmospheric aerosol aviation hazards. 2020, 2020, 1 -30.

AMA Style

Nikolaos Papagiannopoulos, Giuseppe D'Amico, Anna Gialitaki, Nicolae Ajtai, Lucas Alados-Arboledas, Aldo Amodeo, Vassilis Amiridis, Holger Baars, Dimitris Balis, Ioannis Binietoglou, Adolfo Comerón, Davide Dionisi, Alfredo Falconieri, Patrick Fréville, Anna Kampouri, Inna Mattis, Zoran Mijić, Francisco Molero, Alex Papayannis, Gelsomina Pappalardo, Alejandro Rodríguez-Gómez, Stavros Solomos, Lucia Mona. An EARLINET Early Warning System for atmospheric aerosol aviation hazards. . 2020; 2020 ():1-30.

Chicago/Turabian Style

Nikolaos Papagiannopoulos; Giuseppe D'Amico; Anna Gialitaki; Nicolae Ajtai; Lucas Alados-Arboledas; Aldo Amodeo; Vassilis Amiridis; Holger Baars; Dimitris Balis; Ioannis Binietoglou; Adolfo Comerón; Davide Dionisi; Alfredo Falconieri; Patrick Fréville; Anna Kampouri; Inna Mattis; Zoran Mijić; Francisco Molero; Alex Papayannis; Gelsomina Pappalardo; Alejandro Rodríguez-Gómez; Stavros Solomos; Lucia Mona. 2020. "An EARLINET Early Warning System for atmospheric aerosol aviation hazards." 2020, no. : 1-30.

Research article
Published: 13 December 2019 in Atmospheric Chemistry and Physics
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Six months of stratospheric aerosol observations with the European Aerosol Research Lidar Network (EARLINET) from August 2017 to January 2018 are presented. The decay phase of an unprecedented, record-breaking stratospheric perturbation caused by wildfire smoke is reported and discussed in terms of geometrical, optical, and microphysical aerosol properties. Enormous amounts of smoke were injected into the upper troposphere and lower stratosphere over fire areas in western Canada on 12 August 2017 during strong thunderstorm–pyrocumulonimbus activity. The stratospheric fire plumes spread over the entire Northern Hemisphere in the following weeks and months. Twenty-eight European lidar stations from northern Norway to southern Portugal and the eastern Mediterranean monitored the strong stratospheric perturbation on a continental scale. The main smoke layer (over central, western, southern, and eastern Europe) was found at heights between 15 and 20 km since September 2017 (about 2 weeks after entering the stratosphere). Thin layers of smoke were detected at heights of up to 22–23 km. The stratospheric aerosol optical thickness at 532 nm decreased from values > 0.25 on 21–23 August 2017 to 0.005–0.03 until 5–10 September and was mainly 0.003–0.004 from October to December 2017 and thus was still significantly above the stratospheric background (0.001–0.002). Stratospheric particle extinction coefficients (532 nm) were as high as 50–200 Mm−1 until the beginning of September and on the order of 1 Mm−1 (0.5–5 Mm−1) from October 2017 until the end of January 2018. The corresponding layer mean particle mass concentration was on the order of 0.05–0.5 µg m−3 over these months. Soot particles (light-absorbing carbonaceous particles) are efficient ice-nucleating particles (INPs) at upper tropospheric (cirrus) temperatures and available to influence cirrus formation when entering the tropopause from above. We estimated INP concentrations of 50–500 L−1 until the first days in September and afterwards 5–50 L−1 until the end of the year 2017 in the lower stratosphere for typical cirrus formation temperatures of −55 ∘C and an ice supersaturation level of 1.15. The measured profiles of the particle linear depolarization ratio indicated a predominance of nonspherical smoke particles. The 532 nm depolarization ratio decreased slowly with time in the main smoke layer from values of 0.15–0.25 (August–September) to values of 0.05–0.10 (October–November) and < 0.05 (December–January). The decrease of the depolarization ratio is consistent with aging of the smoke particles, growing of a coating around the solid black carbon core (aggregates), and thus change of the shape towards a spherical form. We found ascending aerosol layer features over the most southern European stations, especially over the eastern Mediterranean at 32–35∘ N, that ascended from heights of about 18–19 to 22–23 km from the beginning of October to the beginning of December 2017 (about 2 km per month). We discuss several transport and lifting mechanisms that may have had an impact on the found aerosol layering structures.

ACS Style

Holger Baars; Albert Ansmann; Kevin Ohneiser; Moritz Haarig; Ronny Engelmann; Dietrich Althausen; Ingrid Hanssen; Michael Gausa; Aleksander Pietruczuk; Artur Szkop; Iwona S. Stachlewska; Dongxiang Wang; Jens Reichardt; Annett Skupin; Ina Mattis; Thomas Trickl; Hannes Vogelmann; Francisco Navas-Guzmán; Alexander Haefele; Karen Acheson; Albert A. Ruth; Boyan Tatarov; Detlef Müller; Qiaoyun Hu; Thierry Podvin; Philippe Goloub; Igor Veselovskii; Christophe Pietras; Martial Haeffelin; Patrick Fréville; Michaël Sicard; Adolfo Comerón; Alfonso Javier Fernández García; Francisco Molero Menéndez; Carmen Córdoba-Jabonero; Juan Luis Guerrero-Rascado; Lucas Alados-Arboledas; Daniele Bortoli; Maria João Costa; Davide Dionisi; Gian Luigi Liberti; Xuan Wang; Alessia Sannino; Nikolaos Papagiannopoulos; Antonella Boselli; Lucia Mona; Giuseppe D'Amico; Salvatore Romano; Maria Rita Perrone; Livio Belegante; Doina Nicolae; Ivan Grigorov; Anna Gialitaki; Vassilis Amiridis; Ourania Soupiona; Alexandros Papayannis; Rodanthi-Elisaveth Mamouri; Argyro Nisantzi; Birgit Heese; Julian Hofer; Yoav Y. Schechner; Ulla Wandinger; Gelsomina Pappalardo. The unprecedented 2017–2018 stratospheric smoke event: decay phase and aerosol properties observed with the EARLINET. Atmospheric Chemistry and Physics 2019, 19, 15183 -15198.

AMA Style

Holger Baars, Albert Ansmann, Kevin Ohneiser, Moritz Haarig, Ronny Engelmann, Dietrich Althausen, Ingrid Hanssen, Michael Gausa, Aleksander Pietruczuk, Artur Szkop, Iwona S. Stachlewska, Dongxiang Wang, Jens Reichardt, Annett Skupin, Ina Mattis, Thomas Trickl, Hannes Vogelmann, Francisco Navas-Guzmán, Alexander Haefele, Karen Acheson, Albert A. Ruth, Boyan Tatarov, Detlef Müller, Qiaoyun Hu, Thierry Podvin, Philippe Goloub, Igor Veselovskii, Christophe Pietras, Martial Haeffelin, Patrick Fréville, Michaël Sicard, Adolfo Comerón, Alfonso Javier Fernández García, Francisco Molero Menéndez, Carmen Córdoba-Jabonero, Juan Luis Guerrero-Rascado, Lucas Alados-Arboledas, Daniele Bortoli, Maria João Costa, Davide Dionisi, Gian Luigi Liberti, Xuan Wang, Alessia Sannino, Nikolaos Papagiannopoulos, Antonella Boselli, Lucia Mona, Giuseppe D'Amico, Salvatore Romano, Maria Rita Perrone, Livio Belegante, Doina Nicolae, Ivan Grigorov, Anna Gialitaki, Vassilis Amiridis, Ourania Soupiona, Alexandros Papayannis, Rodanthi-Elisaveth Mamouri, Argyro Nisantzi, Birgit Heese, Julian Hofer, Yoav Y. Schechner, Ulla Wandinger, Gelsomina Pappalardo. The unprecedented 2017–2018 stratospheric smoke event: decay phase and aerosol properties observed with the EARLINET. Atmospheric Chemistry and Physics. 2019; 19 (23):15183-15198.

Chicago/Turabian Style

Holger Baars; Albert Ansmann; Kevin Ohneiser; Moritz Haarig; Ronny Engelmann; Dietrich Althausen; Ingrid Hanssen; Michael Gausa; Aleksander Pietruczuk; Artur Szkop; Iwona S. Stachlewska; Dongxiang Wang; Jens Reichardt; Annett Skupin; Ina Mattis; Thomas Trickl; Hannes Vogelmann; Francisco Navas-Guzmán; Alexander Haefele; Karen Acheson; Albert A. Ruth; Boyan Tatarov; Detlef Müller; Qiaoyun Hu; Thierry Podvin; Philippe Goloub; Igor Veselovskii; Christophe Pietras; Martial Haeffelin; Patrick Fréville; Michaël Sicard; Adolfo Comerón; Alfonso Javier Fernández García; Francisco Molero Menéndez; Carmen Córdoba-Jabonero; Juan Luis Guerrero-Rascado; Lucas Alados-Arboledas; Daniele Bortoli; Maria João Costa; Davide Dionisi; Gian Luigi Liberti; Xuan Wang; Alessia Sannino; Nikolaos Papagiannopoulos; Antonella Boselli; Lucia Mona; Giuseppe D'Amico; Salvatore Romano; Maria Rita Perrone; Livio Belegante; Doina Nicolae; Ivan Grigorov; Anna Gialitaki; Vassilis Amiridis; Ourania Soupiona; Alexandros Papayannis; Rodanthi-Elisaveth Mamouri; Argyro Nisantzi; Birgit Heese; Julian Hofer; Yoav Y. Schechner; Ulla Wandinger; Gelsomina Pappalardo. 2019. "The unprecedented 2017–2018 stratospheric smoke event: decay phase and aerosol properties observed with the EARLINET." Atmospheric Chemistry and Physics 19, no. 23: 15183-15198.

Preprint content
Published: 18 July 2019
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Six months of stratospheric aerosol observations with the European Aerosol Research Lidar Network (EARLINET) from August 2017 to January 2018 are presented. The decay phase of an unprecedented, record-breaking stratospheric perturbation caused by wild fire smoke is reported and discussed in terms of geometrical, optical, and microphysical aerosol properties. Enormous amounts of smoke (mainly soot particles) were injected into the upper troposphere and lower stratosphere over fire areas in western Canada on 12 August 2017 during strong thunderstorm-pyrocumulonimbus activity. The stratospheric smoke plumes spread over the entire northern hemisphere in the following weeks and months. Twenty-eight European lidar stations from northern Norway to southern Portugal and the Eastern Mediterranean monitored the strong stratospheric perturbation on a continental scale. The main smoke layer (over central, western, southern, and eastern Europe) was found between 15 and 20 km height since September 2017 (about two weeks after entering the stratosphere). Thin layers of smoke were detected to ascent to 22–24 km height. The stratospheric aerosol optical thickness at 532 nm decreased from values > 0.25 on 21–23 August 2017 to 0.005–0.03 until 5–10 September, and was mainly 0.003–0.004 from October to December 2017, and thus still significantly above the stratospheric background (0.001–0.002). Stratospheric particle extinction coefficients (532 nm) were as high as 50–200 Mm−1 until the beginning of September and of the order of 1 Mm−1 (0.5–5 Mm−1) from October 2017 until the end of January 2018. The corresponding layer mean particle mass concentration was of the order of 0.05–0.5 μg cm−3 over the months. Soot is an efficient ice-nucleating particle (INP) at upper tropospheric (cirrus) temperatures and available to influence cirrus formation when entering the tropopause from above. We estimated INP concentrations of 50–500 L−1 until the first days in September and afterwards 5–50 L−1 until the end of the year 2018 in the lower stratosphere for typical cirrus formation temperatures of −55 °C and ice supersaturation values of 1.15. The measured profiles of the particle linear depolarization rato indicated the predominance of non-spherical soot particles. The 532 nm depolarization ratio decreased with time in the main smoke layer from values of 0.15–0.25 (August–September) to values of 0.05–0.10 (October–November) and

ACS Style

Holger Baars; Albert Ansmann; Kevin Ohneiser; Moritz Haarig; Ronny Engelmann; Dietrich Althausen; Ingrid Hanssen; Michael Gausa; Aleksander Pietruczuk; Artur Szkop; Iwona S. Stachlewska; Dongxiang Wang; Jens Reichhardt; Annett Skupin; Ina Mattis; Thomas Trickl; Hannes Vogelmann; Francisco Navas-Guzmán; Alexander Haefele; Karen Acheson; Albert A. Ruth; Boyan Tatarov; Detlef Müller; Qiaoyun Hu; Thierry Podvin; Philippe Goloub; Igor Vesselovski; Christophe Pietras; Martial Haeffelin; Patrick Fréville; Michaël Sicard; Adolfo Comerón; Alfonso Javier Fernández García; Francisco Molero Menéndez; Carmen Córdoba-Jabonero; Juan Luis Guerrero-Rascado; Lucas Alados-Arboledas; Daniele Bortoli; Maria João Costa; Davide Dionisi; Gian Luigi Liberti; Xuan Wang; Alessia Sannino; Nikolaos Papagiannopoulos; Antonella Boselli; Lucia Mona; Giuseppe D'amico; Salvatore Romano; Maria Rita Perrone; Livio Belegante; Doina Nicolae; Ivan Grigorov; Anna Gialitaki; Vassilis Amiridis; Ourania Soupiona; Alexandros Papayannis; Rodanthi-Elisaveth Mamouri; Argyro Nisantzi; Birgit Heese; Julian Hofer; Yoav Y. Schechner; Ulla Wandinger; Gelsomina Pappalardo. The unprecedented 2017–2018 stratospheric smoke event: Decay phase and aerosol properties observed with EARLINET. 2019, 1 .

AMA Style

Holger Baars, Albert Ansmann, Kevin Ohneiser, Moritz Haarig, Ronny Engelmann, Dietrich Althausen, Ingrid Hanssen, Michael Gausa, Aleksander Pietruczuk, Artur Szkop, Iwona S. Stachlewska, Dongxiang Wang, Jens Reichhardt, Annett Skupin, Ina Mattis, Thomas Trickl, Hannes Vogelmann, Francisco Navas-Guzmán, Alexander Haefele, Karen Acheson, Albert A. Ruth, Boyan Tatarov, Detlef Müller, Qiaoyun Hu, Thierry Podvin, Philippe Goloub, Igor Vesselovski, Christophe Pietras, Martial Haeffelin, Patrick Fréville, Michaël Sicard, Adolfo Comerón, Alfonso Javier Fernández García, Francisco Molero Menéndez, Carmen Córdoba-Jabonero, Juan Luis Guerrero-Rascado, Lucas Alados-Arboledas, Daniele Bortoli, Maria João Costa, Davide Dionisi, Gian Luigi Liberti, Xuan Wang, Alessia Sannino, Nikolaos Papagiannopoulos, Antonella Boselli, Lucia Mona, Giuseppe D'amico, Salvatore Romano, Maria Rita Perrone, Livio Belegante, Doina Nicolae, Ivan Grigorov, Anna Gialitaki, Vassilis Amiridis, Ourania Soupiona, Alexandros Papayannis, Rodanthi-Elisaveth Mamouri, Argyro Nisantzi, Birgit Heese, Julian Hofer, Yoav Y. Schechner, Ulla Wandinger, Gelsomina Pappalardo. The unprecedented 2017–2018 stratospheric smoke event: Decay phase and aerosol properties observed with EARLINET. . 2019; ():1.

Chicago/Turabian Style

Holger Baars; Albert Ansmann; Kevin Ohneiser; Moritz Haarig; Ronny Engelmann; Dietrich Althausen; Ingrid Hanssen; Michael Gausa; Aleksander Pietruczuk; Artur Szkop; Iwona S. Stachlewska; Dongxiang Wang; Jens Reichhardt; Annett Skupin; Ina Mattis; Thomas Trickl; Hannes Vogelmann; Francisco Navas-Guzmán; Alexander Haefele; Karen Acheson; Albert A. Ruth; Boyan Tatarov; Detlef Müller; Qiaoyun Hu; Thierry Podvin; Philippe Goloub; Igor Vesselovski; Christophe Pietras; Martial Haeffelin; Patrick Fréville; Michaël Sicard; Adolfo Comerón; Alfonso Javier Fernández García; Francisco Molero Menéndez; Carmen Córdoba-Jabonero; Juan Luis Guerrero-Rascado; Lucas Alados-Arboledas; Daniele Bortoli; Maria João Costa; Davide Dionisi; Gian Luigi Liberti; Xuan Wang; Alessia Sannino; Nikolaos Papagiannopoulos; Antonella Boselli; Lucia Mona; Giuseppe D'amico; Salvatore Romano; Maria Rita Perrone; Livio Belegante; Doina Nicolae; Ivan Grigorov; Anna Gialitaki; Vassilis Amiridis; Ourania Soupiona; Alexandros Papayannis; Rodanthi-Elisaveth Mamouri; Argyro Nisantzi; Birgit Heese; Julian Hofer; Yoav Y. Schechner; Ulla Wandinger; Gelsomina Pappalardo. 2019. "The unprecedented 2017–2018 stratospheric smoke event: Decay phase and aerosol properties observed with EARLINET." , no. : 1.

Research article
Published: 06 November 2018 in Atmospheric Chemistry and Physics
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We present an automatic aerosol classification method based solely on the European Aerosol Research Lidar Network (EARLINET) intensive optical parameters with the aim of building a network-wide classification tool that could provide near-real-time aerosol typing information. The presented method depends on a supervised learning technique and makes use of the Mahalanobis distance function that relates each unclassified measurement to a predefined aerosol type. As a first step (training phase), a reference dataset is set up consisting of already classified EARLINET data. Using this dataset, we defined 8 aerosol classes: clean continental, polluted continental, dust, mixed dust, polluted dust, mixed marine, smoke, and volcanic ash. The effect of the number of aerosol classes has been explored, as well as the optimal set of intensive parameters to separate different aerosol types. Furthermore, the algorithm is trained with literature particle linear depolarization ratio values. As a second step (testing phase), we apply the method to an already classified EARLINET dataset and analyze the results of the comparison to this classified dataset. The predictive accuracy of the automatic classification varies between 59 % (minimum) and 90 % (maximum) from 8 to 4 aerosol classes, respectively, when evaluated against pre-classified EARLINET lidar. This indicates the potential use of the automatic classification to all network lidar data. Furthermore, the training of the algorithm with particle linear depolarization values found in the literature further improves the accuracy with values for all the aerosol classes around 80 %. Additionally, the algorithm has proven to be highly versatile as it adapts to changes in the size of the training dataset and the number of aerosol classes and classifying parameters. Finally, the low computational time and demand for resources make the algorithm extremely suitable for the implementation within the single calculus chain (SCC), the EARLINET centralized processing suite.

ACS Style

Nikolaos Papagiannopoulos; Lucia Mona; Aldo Amodeo; Giuseppe D'Amico; Pilar Gumà Claramunt; Gelsomina Pappalardo; Lucas Alados-Arboledas; Juan Luís Guerrero-Rascado; Vassilis Amiridis; Panagiotis Kokkalis; Arnoud Apituley; Holger Baars; Anja Schwarz; Ulla Wandinger; Ioannis Binietoglou; Doina Nicolae; Daniele Bortoli; Adolfo Comerón; Alejandro Rodríguez-Gómez; Michaël Sicard; Alex Papayannis; Matthias Wiegner. An automatic observation-based aerosol typing method for EARLINET. Atmospheric Chemistry and Physics 2018, 18, 15879 -15901.

AMA Style

Nikolaos Papagiannopoulos, Lucia Mona, Aldo Amodeo, Giuseppe D'Amico, Pilar Gumà Claramunt, Gelsomina Pappalardo, Lucas Alados-Arboledas, Juan Luís Guerrero-Rascado, Vassilis Amiridis, Panagiotis Kokkalis, Arnoud Apituley, Holger Baars, Anja Schwarz, Ulla Wandinger, Ioannis Binietoglou, Doina Nicolae, Daniele Bortoli, Adolfo Comerón, Alejandro Rodríguez-Gómez, Michaël Sicard, Alex Papayannis, Matthias Wiegner. An automatic observation-based aerosol typing method for EARLINET. Atmospheric Chemistry and Physics. 2018; 18 (21):15879-15901.

Chicago/Turabian Style

Nikolaos Papagiannopoulos; Lucia Mona; Aldo Amodeo; Giuseppe D'Amico; Pilar Gumà Claramunt; Gelsomina Pappalardo; Lucas Alados-Arboledas; Juan Luís Guerrero-Rascado; Vassilis Amiridis; Panagiotis Kokkalis; Arnoud Apituley; Holger Baars; Anja Schwarz; Ulla Wandinger; Ioannis Binietoglou; Doina Nicolae; Daniele Bortoli; Adolfo Comerón; Alejandro Rodríguez-Gómez; Michaël Sicard; Alex Papayannis; Matthias Wiegner. 2018. "An automatic observation-based aerosol typing method for EARLINET." Atmospheric Chemistry and Physics 18, no. 21: 15879-15901.

Preprint content
Published: 30 May 2018
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We present an automatic aerosol classification method based solely on European Aerosol Research Lidar Network (EARLINET) intensive optical parameters with the aim of building a network-wide classification tool that could provide near-real-time aerosol typing information. The presented method depends on a supervised learning technique and makes use of the Mahalanobis distance function that relates each un-classified measurement to a pre-defined aerosol type. As a first step (training phase), a reference dataset is set up consisting of already classified EARLINET data. Using this dataset, we defined eight aerosol classes: clean continental, polluted continental, dust, mixed dust, polluted dust, mixed marine, smoke, and volcanic ash. The effect of the number of aerosol classes has been explored, as well as the optimal set of intensive parameters to separate different aerosol types. Furthermore, the algorithm is trained with literature particle linear depolarization ratio values. As a second step (testing phase), we apply the method to an already classified EARLINET dataset and analyse the results of the comparison to this classified dataset. The predictive accuracy of the automatic classification varies between 59 % (minimum) and 90 % (maximum) from 8 to 4 aerosol classes, respectively, when evaluated against pre-classified EARLINET lidar. This indicates the potential use of the automatic classification to all network lidar data. Furthermore, the training of the algorithm with particle linear depolarization values found in literature further improves the accuracy: the accuracy range is 69–93 % from 8 (69 %) to 4 (93 %) aerosol classes, respectively. Additionally, the algorithm has proven to be highly versatile as it adapts to changes in the size of the training dataset and the number of aerosol classes and classifying parameters. Finally, the low computational time and demand for resources make the algorithm extremely suitable for the implementation within the Single Calculus Chain (SCC), the EARLINET centralised processing suite.

ACS Style

Nikolaos Papagiannopoulos; Lucia Mona; Aldo Amodeo; Giuseppe D'amico; Pilar Gumà Claramunt; Gelsomina Pappalardo; Lucas Alados-Arboledas; Juan Luís Guerrero-Rascado; Vassilis Amiridis; Arnoud Apituley; Holger Baars; Anja Schwarz; Ulla Wandinger; Ioannis Binietoglou; Doina Nicolae; Daniele Bortoli; Adolfo Comerón; Alejandro Rodríguez-Gómez; Michaël Sicard; Panagiotis Kokkalis; Alex Papayannis; Matthias Wiegner. An automatic observation-based typing method for EARLINET. 2018, 2018, 1 -41.

AMA Style

Nikolaos Papagiannopoulos, Lucia Mona, Aldo Amodeo, Giuseppe D'amico, Pilar Gumà Claramunt, Gelsomina Pappalardo, Lucas Alados-Arboledas, Juan Luís Guerrero-Rascado, Vassilis Amiridis, Arnoud Apituley, Holger Baars, Anja Schwarz, Ulla Wandinger, Ioannis Binietoglou, Doina Nicolae, Daniele Bortoli, Adolfo Comerón, Alejandro Rodríguez-Gómez, Michaël Sicard, Panagiotis Kokkalis, Alex Papayannis, Matthias Wiegner. An automatic observation-based typing method for EARLINET. . 2018; 2018 ():1-41.

Chicago/Turabian Style

Nikolaos Papagiannopoulos; Lucia Mona; Aldo Amodeo; Giuseppe D'amico; Pilar Gumà Claramunt; Gelsomina Pappalardo; Lucas Alados-Arboledas; Juan Luís Guerrero-Rascado; Vassilis Amiridis; Arnoud Apituley; Holger Baars; Anja Schwarz; Ulla Wandinger; Ioannis Binietoglou; Doina Nicolae; Daniele Bortoli; Adolfo Comerón; Alejandro Rodríguez-Gómez; Michaël Sicard; Panagiotis Kokkalis; Alex Papayannis; Matthias Wiegner. 2018. "An automatic observation-based typing method for EARLINET." 2018, no. : 1-41.

Conference paper
Published: 13 April 2018 in EPJ Web of Conferences
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The EARLINET database is facing a complete reshaping to meet the wide request for more intuitive products and to face the even wider request related to the new initiatives such as Copernicus, the European Earth observation programme. The new design has been carried out in continuity with the past, to take advantage from long-term database. In particular, the new structure will provide information suitable for synergy with other instruments, near real time (NRT) applications, validation and process studies and climate applications.

ACS Style

Lucia Mona; Giuseppe D’Amico; Francesco Amato; Holger Linnè; Holger Baars; Ulla Wandinger; Gelsomina Pappalardo. Earlinet database: new design and new products for a wider use of aerosol lidar data. EPJ Web of Conferences 2018, 176, 09016 .

AMA Style

Lucia Mona, Giuseppe D’Amico, Francesco Amato, Holger Linnè, Holger Baars, Ulla Wandinger, Gelsomina Pappalardo. Earlinet database: new design and new products for a wider use of aerosol lidar data. EPJ Web of Conferences. 2018; 176 ():09016.

Chicago/Turabian Style

Lucia Mona; Giuseppe D’Amico; Francesco Amato; Holger Linnè; Holger Baars; Ulla Wandinger; Gelsomina Pappalardo. 2018. "Earlinet database: new design and new products for a wider use of aerosol lidar data." EPJ Web of Conferences 176, no. : 09016.

Conference paper
Published: 13 April 2018 in EPJ Web of Conferences
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The results of the ATHLI16 (ATHens Lidar Intercomparison) campaign, held in Athens from 26/09 to 07/10 2016 are presented. The campaign was performed within the Lidar Calibration Centre activities (EU H2020 ACTRIS-2 project) to assess the performance of the EOLE lidar system (NTUA, Athens, Greece), operating within EARLINET, by comparing against the EARLINET reference lidar system MUSA (CNR-IMAA, Potenza, Italy). For both lidars only products retrieved by the EARLINET Single Calculus Chain have been compared.

ACS Style

Aldo Amodeo; Giuseppe D’Amico; Aldo Giunta; Nikolaos Papagiannopoulos; Alex Papayannis; Athina Argyrouli; Maria Mylonaki; Georgios Tsaknakis; Panos Kokkalis; Ourania Soupiona; Chris Tzanis. ATHLI16: the ATHens Lidar Intercomparison campaign. EPJ Web of Conferences 2018, 176, 09008 .

AMA Style

Aldo Amodeo, Giuseppe D’Amico, Aldo Giunta, Nikolaos Papagiannopoulos, Alex Papayannis, Athina Argyrouli, Maria Mylonaki, Georgios Tsaknakis, Panos Kokkalis, Ourania Soupiona, Chris Tzanis. ATHLI16: the ATHens Lidar Intercomparison campaign. EPJ Web of Conferences. 2018; 176 ():09008.

Chicago/Turabian Style

Aldo Amodeo; Giuseppe D’Amico; Aldo Giunta; Nikolaos Papagiannopoulos; Alex Papayannis; Athina Argyrouli; Maria Mylonaki; Georgios Tsaknakis; Panos Kokkalis; Ourania Soupiona; Chris Tzanis. 2018. "ATHLI16: the ATHens Lidar Intercomparison campaign." EPJ Web of Conferences 176, no. : 09008.

Conference paper
Published: 13 April 2018 in EPJ Web of Conferences
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Most lidar processing algorithms, such as those included in EARLINET’s Single Calculus Chain, can be applied only to cloud-free atmospheric scenes. In this paper, we present a methodology for masking clouds in uncalibrated lidar signals. First, we construct a reference dataset based on manual inspection and then train a classifier to separate clouds and cloud-free regions. Here we present details of this approach together with an example cloud masks from an EARLINET station.

ACS Style

Ioannis Binietoglou; Giuseppe D’Amico; Holger Baars; Livio Belegante; Eleni Marinou. A methodology for cloud masking uncalibrated lidar signals. EPJ Web of Conferences 2018, 176, 05048 .

AMA Style

Ioannis Binietoglou, Giuseppe D’Amico, Holger Baars, Livio Belegante, Eleni Marinou. A methodology for cloud masking uncalibrated lidar signals. EPJ Web of Conferences. 2018; 176 ():05048.

Chicago/Turabian Style

Ioannis Binietoglou; Giuseppe D’Amico; Holger Baars; Livio Belegante; Eleni Marinou. 2018. "A methodology for cloud masking uncalibrated lidar signals." EPJ Web of Conferences 176, no. : 05048.

Conference paper
Published: 13 April 2018 in EPJ Web of Conferences
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The Single Calculus Chain (SCC) is an automatic and flexible tool to analyze raw lidar data using EARLINET quality assured retrieval algorithms. It has been already demonstrated the SCC can retrieve reliable aerosol backscatter and extinction coefficient profiles for different lidar systems. In this paper we provide an overview of new SCC products like particle linear depolarization ratio, cloud masking, aerosol layering allowing relevant improvements in the atmospheric aerosol characterization.

ACS Style

Giuseppe D’Amico; Ina Mattis; Ioannis Binietoglou; Holger Baars; Lucia Mona; Francesco Amato; Panos Kokkalis; Alejandro Rodríguez-Gómez; Ourania Soupiona; Voudouri Kalliopi-Artemis. Earlinet single calculus chain: new products overview. EPJ Web of Conferences 2018, 176, 09014 .

AMA Style

Giuseppe D’Amico, Ina Mattis, Ioannis Binietoglou, Holger Baars, Lucia Mona, Francesco Amato, Panos Kokkalis, Alejandro Rodríguez-Gómez, Ourania Soupiona, Voudouri Kalliopi-Artemis. Earlinet single calculus chain: new products overview. EPJ Web of Conferences. 2018; 176 ():09014.

Chicago/Turabian Style

Giuseppe D’Amico; Ina Mattis; Ioannis Binietoglou; Holger Baars; Lucia Mona; Francesco Amato; Panos Kokkalis; Alejandro Rodríguez-Gómez; Ourania Soupiona; Voudouri Kalliopi-Artemis. 2018. "Earlinet single calculus chain: new products overview." EPJ Web of Conferences 176, no. : 09014.

Conference paper
Published: 13 April 2018 in EPJ Web of Conferences
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Aerosol typing is essential for understanding the impact of the different aerosol sources on climate, weather system and air quality. An aerosol classification method for EARLINET (European Aerosol Research Lidar Network) measurements is introduced which makes use the Mahalanobis distance classifier. The performance of the automatic classification is tested against manually classified EARLINET data. Results of the application of the method to an extensive aerosol dataset will be presented.

ACS Style

Nikolaos Papagiannopoulos; Lucia Mona; Vassilis Amiridis; Ioannis Binietoglou; Giuseppe D’Amico; P. Guma-Claramunt; Anja Schwarz; Lucas Alados-Arboledas; Aldo Amodeo; Arnoud Apituley; Holger Baars; Daniele Bortoli; Adolfo Comerón; Juan Luís Guerrero-Rascado; Panos Kokkalis; Doina Nicolae; Alex Papayannis; Gelsomina Pappalardo; Ulla Wandinger; Matthias Wiegner. An automatic aerosol classification for earlinet: application and results. EPJ Web of Conferences 2018, 176, 09012 .

AMA Style

Nikolaos Papagiannopoulos, Lucia Mona, Vassilis Amiridis, Ioannis Binietoglou, Giuseppe D’Amico, P. Guma-Claramunt, Anja Schwarz, Lucas Alados-Arboledas, Aldo Amodeo, Arnoud Apituley, Holger Baars, Daniele Bortoli, Adolfo Comerón, Juan Luís Guerrero-Rascado, Panos Kokkalis, Doina Nicolae, Alex Papayannis, Gelsomina Pappalardo, Ulla Wandinger, Matthias Wiegner. An automatic aerosol classification for earlinet: application and results. EPJ Web of Conferences. 2018; 176 ():09012.

Chicago/Turabian Style

Nikolaos Papagiannopoulos; Lucia Mona; Vassilis Amiridis; Ioannis Binietoglou; Giuseppe D’Amico; P. Guma-Claramunt; Anja Schwarz; Lucas Alados-Arboledas; Aldo Amodeo; Arnoud Apituley; Holger Baars; Daniele Bortoli; Adolfo Comerón; Juan Luís Guerrero-Rascado; Panos Kokkalis; Doina Nicolae; Alex Papayannis; Gelsomina Pappalardo; Ulla Wandinger; Matthias Wiegner. 2018. "An automatic aerosol classification for earlinet: application and results." EPJ Web of Conferences 176, no. : 09012.

Journal article
Published: 26 February 2018 in Atmospheric Measurement Techniques
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Particle depolarization ratio retrieved from lidar measurements are commonly used for aerosol-typing studies, microphysical inversion, or mass concentration retrievals. The particle depolarization ratio is one of the primary parameters that can differentiate several major aerosol components but only if the measurements are accurate enough. The accuracy related to the retrieval of particle depolarization ratios is the driving factor for assessing and improving the uncertainties of the depolarization products. This paper presents different depolarization calibration procedures used to improve the quality of the depolarization data. The results illustrate a significant improvement of the depolarization lidar products for all the selected lidar stations that have implemented depolarization calibration procedures. The calibrated volume and particle depolarization profiles at 532 nm show values that fall within a range that is generally accepted in the literature.

ACS Style

Livio Belegante; Juan Antonio Bravo-Aranda; Volker Freudenthaler; Doina Nicolae; Anca Nemuc; Dragos Ene; Lucas Alados-Arboledas; Aldo Amodeo; Gelsomina Pappalardo; Giuseppe D'Amico; Francesco Amato; Ronny Engelmann; Holger Baars; Ulla Wandinger; Alexandros Papayannis; Panos Kokkalis; Sérgio N. Pereira. Experimental techniques for the calibration of lidar depolarization channels in EARLINET. Atmospheric Measurement Techniques 2018, 11, 1119 -1141.

AMA Style

Livio Belegante, Juan Antonio Bravo-Aranda, Volker Freudenthaler, Doina Nicolae, Anca Nemuc, Dragos Ene, Lucas Alados-Arboledas, Aldo Amodeo, Gelsomina Pappalardo, Giuseppe D'Amico, Francesco Amato, Ronny Engelmann, Holger Baars, Ulla Wandinger, Alexandros Papayannis, Panos Kokkalis, Sérgio N. Pereira. Experimental techniques for the calibration of lidar depolarization channels in EARLINET. Atmospheric Measurement Techniques. 2018; 11 (2):1119-1141.

Chicago/Turabian Style

Livio Belegante; Juan Antonio Bravo-Aranda; Volker Freudenthaler; Doina Nicolae; Anca Nemuc; Dragos Ene; Lucas Alados-Arboledas; Aldo Amodeo; Gelsomina Pappalardo; Giuseppe D'Amico; Francesco Amato; Ronny Engelmann; Holger Baars; Ulla Wandinger; Alexandros Papayannis; Panos Kokkalis; Sérgio N. Pereira. 2018. "Experimental techniques for the calibration of lidar depolarization channels in EARLINET." Atmospheric Measurement Techniques 11, no. 2: 1119-1141.

Journal article
Published: 07 October 2016 in Atmospheric Measurement Techniques
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Lidar depolarization measurements distinguish between spherical and non-spherical aerosol particles based on the change of the polarization state between the emitted and received signal. The particle shape information in combination with other aerosol optical properties allows the characterization of different aerosol types and the retrieval of aerosol particle microphysical properties. Regarding the microphysical inversions, the lidar depolarization technique is becoming a key method since particle shape information can be used by algorithms based on spheres and spheroids, optimizing the retrieval procedure. Thus, the identification of the depolarization error sources and the quantification of their effects are crucial. This work presents a new tool to assess the systematic error of the volume linear depolarization ratio (δ), combining the Stokes–Müller formalism and the complete sampling of the error space using the lidar model presented in Freudenthaler (2016a). This tool is applied to a synthetic lidar system and to several EARLINET lidars with depolarization capabilities at 355 or 532 nm. The lidar systems show relative errors of δ larger than 100 % for δ values around molecular linear depolarization ratios (∼ 0.004 and up to ∼ 10 % for δ = 0.45). However, one system shows only relative errors of 25 and 0.22 % for δ = 0.004 and δ = 0.45, respectively, and gives an example of how a proper identification and reduction of the main error sources can drastically reduce the systematic errors of δ. In this regard, we provide some indications of how to reduce the systematic errors.

ACS Style

Juan Antonio Bravo-Aranda; Livio Belegante; Volker Freudenthaler; Lucas Alados-Arboledas; Doina Nicolae; María José Granados Muñoz; Juan Luis Guerrero-Rascado; Aldo Amodeo; Giusseppe D'Amico; Ronny Engelmann; Gelsomina Pappalardo; Panos Kokkalis; Rodanthy Mamouri; Alex Papayannis; Francisco Navas-Guzmán; Francisco José Olmo; Ulla Wandinger; Francesco Amato; Martial Haeffelin. Assessment of lidar depolarization uncertainty by means of a polarimetric lidar simulator. Atmospheric Measurement Techniques 2016, 9, 4935 -4953.

AMA Style

Juan Antonio Bravo-Aranda, Livio Belegante, Volker Freudenthaler, Lucas Alados-Arboledas, Doina Nicolae, María José Granados Muñoz, Juan Luis Guerrero-Rascado, Aldo Amodeo, Giusseppe D'Amico, Ronny Engelmann, Gelsomina Pappalardo, Panos Kokkalis, Rodanthy Mamouri, Alex Papayannis, Francisco Navas-Guzmán, Francisco José Olmo, Ulla Wandinger, Francesco Amato, Martial Haeffelin. Assessment of lidar depolarization uncertainty by means of a polarimetric lidar simulator. Atmospheric Measurement Techniques. 2016; 9 (10):4935-4953.

Chicago/Turabian Style

Juan Antonio Bravo-Aranda; Livio Belegante; Volker Freudenthaler; Lucas Alados-Arboledas; Doina Nicolae; María José Granados Muñoz; Juan Luis Guerrero-Rascado; Aldo Amodeo; Giusseppe D'Amico; Ronny Engelmann; Gelsomina Pappalardo; Panos Kokkalis; Rodanthy Mamouri; Alex Papayannis; Francisco Navas-Guzmán; Francisco José Olmo; Ulla Wandinger; Francesco Amato; Martial Haeffelin. 2016. "Assessment of lidar depolarization uncertainty by means of a polarimetric lidar simulator." Atmospheric Measurement Techniques 9, no. 10: 4935-4953.

Journal article
Published: 14 July 2016 in Atmospheric Measurement Techniques
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In this paper we present the automated software tool ELDA (EARLINET Lidar Data Analyzer) for the retrieval of profiles of optical particle properties from lidar signals. This tool is one of the calculus modules of the EARLINET Single Calculus Chain (SCC) which allows for the analysis of the data of many different lidar systems of EARLINET in an automated, unsupervised way. ELDA delivers profiles of particle extinction coefficients from Raman signals as well as profiles of particle backscatter coefficients from combinations of Raman and elastic signals or from elastic signals only. Those analyses start from pre-processed signals which have already been corrected for background, range dependency and hardware specific effects. An expert group reviewed all algorithms and solutions for critical calculus subsystems which are used within EARLINET with respect to their applicability for automated retrievals. Those methods have been implemented in ELDA. Since the software was designed in a modular way, it is possible to add new or alternative methods in future. Most of the implemented algorithms are well known and well documented, but some methods have especially been developed for ELDA, e.g., automated vertical smoothing and temporal averaging or the handling of effective vertical resolution in the case of lidar ratio retrievals, or the merging of near-range and far-range products. The accuracy of the retrieved profiles was tested following the procedure of the EARLINET-ASOS algorithm inter-comparison exercise which is based on the analysis of synthetic signals. Mean deviations, mean relative deviations, and normalized root-mean-square deviations were calculated for all possible products and three height layers. In all cases, the deviations were clearly below the maximum allowed values according to the EARLINET quality requirements.

ACS Style

Ina Mattis; Giuseppe D'Amico; Holger Baars; Aldo Amodeo; Fabio Madonna; Marco Iarlori. EARLINET Single Calculus Chain – technical – Part 2: Calculation of optical products. Atmospheric Measurement Techniques 2016, 9, 3009 -3029.

AMA Style

Ina Mattis, Giuseppe D'Amico, Holger Baars, Aldo Amodeo, Fabio Madonna, Marco Iarlori. EARLINET Single Calculus Chain – technical – Part 2: Calculation of optical products. Atmospheric Measurement Techniques. 2016; 9 (7):3009-3029.

Chicago/Turabian Style

Ina Mattis; Giuseppe D'Amico; Holger Baars; Aldo Amodeo; Fabio Madonna; Marco Iarlori. 2016. "EARLINET Single Calculus Chain – technical – Part 2: Calculation of optical products." Atmospheric Measurement Techniques 9, no. 7: 3009-3029.

Journal article
Published: 09 June 2016 in Atmospheric Chemistry and Physics
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The simultaneous analysis of aerosol microphysical properties profiles at different European stations is made in the framework of the ChArMEx/EMEP 2012 field campaign (9–11 July 2012). During and in support of this campaign, five lidar ground-based stations (Athens, Barcelona, Bucharest, Évora, and Granada) performed 72 h of continuous lidar measurements and collocated and coincident sun-photometer measurements. Therefore it was possible to retrieve volume concentration profiles with the Lidar Radiometer Inversion Code (LIRIC). Results indicated the presence of a mineral dust plume affecting the western Mediterranean region (mainly the Granada station), whereas a different aerosol plume was observed over the Balkans area. LIRIC profiles showed a predominance of coarse spheroid particles above Granada, as expected for mineral dust, and an aerosol plume composed mainly of fine and coarse spherical particles above Athens and Bucharest. Due to the exceptional characteristics of the ChArMEx database, the analysis of the microphysical properties profiles' temporal evolution was also possible. An in-depth analysis was performed mainly at the Granada station because of the availability of continuous lidar measurements and frequent AERONET inversion retrievals. The analysis at Granada was of special interest since the station was affected by mineral dust during the complete analyzed period. LIRIC was found to be a very useful tool for performing continuous monitoring of mineral dust, allowing for the analysis of the dynamics of the dust event in the vertical and temporal coordinates. Results obtained here illustrate the importance of having collocated and simultaneous advanced lidar and sun-photometer measurements in order to characterize the aerosol microphysical properties in both the vertical and temporal coordinates at a regional scale. In addition, this study revealed that the use of the depolarization information as input in LIRIC in the stations of Bucharest, Évora, and Granada was crucial for the characterization of the aerosol types and their distribution in the vertical column, whereas in stations lacking depolarization lidar channels, ancillary information was needed. Results obtained were also used for the validation of different mineral dust models. In general, the models better forecast the vertical distribution of the mineral dust than the column-integrated mass concentration, which was underestimated in most of the cases.

ACS Style

María José Granados-Muñoz; Francisco Navas-Guzmán; Juan Luis Guerrero-Rascado; Juan Antonio Bravo Aranda; Ioannis Binietoglou; Sérgio Nepomuceno Pereira; Sara Basart; José María Baldasano; Livio Belegante; Anatoli Chaikovsky; Adolfo Comerón; Giuseppe D'amico; Oleg Dubovik; Luka Ilic; Panos Kokkalis; Constantino Muñoz-Porcar; Slobodan Nickovic; Doina Nicolae; Francisco José Olmo; Alexander Papayannis; Gelsomina Pappalardo; Alejandro Rodríguez; Kerstin Schepanski; Michaël Sicard; Ana Vukovic; Ulla Wandinger; François Dulac; Lucas Alados-Arboledas. Profiling of aerosol microphysical properties at several EARLINET/AERONET sites during the July 2012 ChArMEx/EMEP campaign. Atmospheric Chemistry and Physics 2016, 16, 7043 -7066.

AMA Style

María José Granados-Muñoz, Francisco Navas-Guzmán, Juan Luis Guerrero-Rascado, Juan Antonio Bravo Aranda, Ioannis Binietoglou, Sérgio Nepomuceno Pereira, Sara Basart, José María Baldasano, Livio Belegante, Anatoli Chaikovsky, Adolfo Comerón, Giuseppe D'amico, Oleg Dubovik, Luka Ilic, Panos Kokkalis, Constantino Muñoz-Porcar, Slobodan Nickovic, Doina Nicolae, Francisco José Olmo, Alexander Papayannis, Gelsomina Pappalardo, Alejandro Rodríguez, Kerstin Schepanski, Michaël Sicard, Ana Vukovic, Ulla Wandinger, François Dulac, Lucas Alados-Arboledas. Profiling of aerosol microphysical properties at several EARLINET/AERONET sites during the July 2012 ChArMEx/EMEP campaign. Atmospheric Chemistry and Physics. 2016; 16 (11):7043-7066.

Chicago/Turabian Style

María José Granados-Muñoz; Francisco Navas-Guzmán; Juan Luis Guerrero-Rascado; Juan Antonio Bravo Aranda; Ioannis Binietoglou; Sérgio Nepomuceno Pereira; Sara Basart; José María Baldasano; Livio Belegante; Anatoli Chaikovsky; Adolfo Comerón; Giuseppe D'amico; Oleg Dubovik; Luka Ilic; Panos Kokkalis; Constantino Muñoz-Porcar; Slobodan Nickovic; Doina Nicolae; Francisco José Olmo; Alexander Papayannis; Gelsomina Pappalardo; Alejandro Rodríguez; Kerstin Schepanski; Michaël Sicard; Ana Vukovic; Ulla Wandinger; François Dulac; Lucas Alados-Arboledas. 2016. "Profiling of aerosol microphysical properties at several EARLINET/AERONET sites during the July 2012 ChArMEx/EMEP campaign." Atmospheric Chemistry and Physics 16, no. 11: 7043-7066.