15 results on '"Kalivitis, Nikolaos"'
Search Results
2. Air Quality and Health Impacts
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Kalivitis, Nikolaos, Papatheodorou, Stefania, Maesano, Cara Nichole, Annesi-Maesano, Isabella, Dulac, François, editor, Sauvage, Stéphane, editor, and Hamonou, Eric, editor
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- 2022
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3. The Development of a Dust Mineralogy Map from Satellite Retrievals and Implementation in WRF-Chem
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Solomos, Stavros, primary, Spyrou, Christos, additional, Bartsotas, Nikolaos S., additional, Sykioti, Olga, additional, Amiridis, Vassilis, additional, Gkikas, Antonios, additional, Marinou, Eleni, additional, Katsafados, Petros, additional, Tsarpalis, Konstantinos, additional, Pejanovic, Goran, additional, Cvetkovic, Bojan, additional, Nickovic, Slobodan, additional, Kalivitis, Nikolaos, additional, Kanakidou, Maria, additional, Mihalopoulos, Nikolaos, additional, and Zerefos, Christos, additional
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- 2023
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4. The Development of a Dust Mineralogy Map from Satellite Retrievals and Implementation in WRF-Chem.
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Solomos, Stavros, Spyrou, Christos, Bartsotas, Nikolaos S., Sykioti, Olga, Amiridis, Vassilis, Gkikas, Antonios, Marinou, Eleni, Katsafados, Petros, Tsarpalis, Konstantinos, Pejanovic, Goran, Cvetkovic, Bojan, Nickovic, Slobodan, Kalivitis, Nikolaos, Kanakidou, Maria, Mihalopoulos, Nikolaos, and Zerefos, Christos
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DUST ,MINERALOGY ,ATMOSPHERIC aerosols ,REMOTE sensing ,ATMOSPHERIC physics - Abstract
Mineral dust particles are key ingredients of the atmosphere. They interact in atmospheric physics and chemistry and have important implications for human health. Therefore, it is important to examine the properties of these aerosols, including their ambient concentrations, size distributions, shape and mineral composition. In this work, we use satellite remote sensing from Sentinel 2A and EMIT missions to derive the mineralogical composition of surface areas, and we describe the development of a new module to represent the atmospheric life cycle of individual dust minerals in WRF-Chem. In the first step, the GMINER30 mineralogical database is implemented in WRF-Chem to describe the emission, transport, dry and wet deposition of different mineral types. [ABSTRACT FROM AUTHOR]
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- 2023
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5. Intercomparison and characterization of 23 Aethalometers under laboratory and ambient air conditions: procedures and unit-to-unit variabilities
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Cuesta-Mosquera, Andrea, primary, Močnik, Griša, additional, Drinovec, Luka, additional, Müller, Thomas, additional, Pfeifer, Sascha, additional, Minguillón, María Cruz, additional, Briel, Björn, additional, Buckley, Paul, additional, Dudoitis, Vadimas, additional, Fernández-García, Javier, additional, Fernández-Amado, María, additional, Ferreira De Brito, Joel, additional, Riffault, Veronique, additional, Flentje, Harald, additional, Heffernan, Eimear, additional, Kalivitis, Nikolaos, additional, Kalogridis, Athina-Cerise, additional, Keernik, Hannes, additional, Marmureanu, Luminita, additional, Luoma, Krista, additional, Marinoni, Angela, additional, Pikridas, Michael, additional, Schauer, Gerhard, additional, Serfozo, Norbert, additional, Servomaa, Henri, additional, Titos, Gloria, additional, Yus-Díez, Jesús, additional, Zioła, Natalia, additional, and Wiedensohler, Alfred, additional
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- 2021
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6. Assessing Sea-State Effects on Sea-Salt Aerosol Modeling in the Lower Atmosphere Using Lidar and In-Situ Measurements
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Varlas, George, primary, Marinou, Eleni, additional, Gialitaki, Anna, additional, Siomos, Nikolaos, additional, Tsarpalis, Konstantinos, additional, Kalivitis, Nikolaos, additional, Solomos, Stavros, additional, Tsekeri, Alexandra, additional, Spyrou, Christos, additional, Tsichla, Maria, additional, Kampouri, Anna, additional, Vervatis, Vassilis, additional, Giannakaki, Elina, additional, Amiridis, Vassilis, additional, Mihalopoulos, Nikolaos, additional, Papadopoulos, Anastasios, additional, and Katsafados, Petros, additional
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- 2021
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7. Intercomparison and characterization of 23 Aethalometers under laboratory and ambient air conditions: Procedures and unit-to-unit variabilities
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Cuesta-Mosquera, Andrea, primary, Močnik, Griša, additional, Drinovec, Luka, additional, Müller, Thomas, additional, Pfeifer, Sascha, additional, Minguillón, María Cruz, additional, Björn, Briel, additional, Buckley, Paul, additional, Dudoitis, Vadimas, additional, Fernández-García, Javier, additional, Fernández-Amado, María, additional, Ferreira De Brito, Joel, additional, Flentje, Harald, additional, Heffernan, Eimear, additional, Kalivitis, Nikolaos, additional, Kalogridis, Athina-Cerise, additional, Keernik, Hannes, additional, Marmureanu, Luminita, additional, Luoma, Krista, additional, Marinoni, Angela, additional, Pikridas, Michael, additional, Schauer, Gerhard, additional, Serfozo, Norbert, additional, Servomaa, Henri, additional, Titos, Gloria, additional, Yus-Díez, Jesús, additional, Zioła, Natalia, additional, and Wiedensohler, Alfred, additional
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- 2020
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8. Supplementary material to "Intercomparison and characterization of 23 Aethalometers under laboratory and ambient air conditions: Procedures and unit-to-unit variabilities"
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Cuesta-Mosquera, Andrea, primary, Močnik, Griša, additional, Drinovec, Luka, additional, Müller, Thomas, additional, Pfeifer, Sascha, additional, Minguillón, María Cruz, additional, Björn, Briel, additional, Buckley, Paul, additional, Dudoitis, Vadimas, additional, Fernández-García, Javier, additional, Fernández-Amado, María, additional, Ferreira De Brito, Joel, additional, Flentje, Harald, additional, Heffernan, Eimear, additional, Kalivitis, Nikolaos, additional, Kalogridis, Athina-Cerise, additional, Keernik, Hannes, additional, Marmureanu, Luminita, additional, Luoma, Krista, additional, Marinoni, Angela, additional, Pikridas, Michael, additional, Schauer, Gerhard, additional, Serfozo, Norbert, additional, Servomaa, Henri, additional, Titos, Gloria, additional, Yus-Díez, Jesús, additional, Zioła, Natalia, additional, and Wiedensohler, Alfred, additional
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- 2020
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9. Corrected version of reply to the reviewer #1
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Kalivitis, Nikolaos, primary
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- 2018
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10. Spatial extent of new particle formation events over the Mediterranean Basin from multiple ground-based and airborne measurements
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Berland, Kevin, Rose, Clémence, Pey, Jorge, Culot, Anais, Freney, Evelyn, Kalivitis, Nikolaos, Kouvarakis, Giorgios, Cerro, José Carlos, Mallet, Marc, Sartelet, Karine, Beckmann, Matthias, Bourriane, Thierry, Roberts, Greg, Marchand, Nicolas, Mihalopoulos, Nikolaos, Sellegri, Karine, Laboratoire de Météorologie Physique (LaMP), Institut national des sciences de l'Univers (INSU - CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Laboratoire Chimie de l'environnement (LCE), Aix Marseille Université (AMU)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), University of Crete [Heraklion] (UOC), Universitat de les Illes Balears (UIB), Laboratoire d'aérologie (LAERO), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Centre d'Enseignement et de Recherche en Environnement Atmosphérique (CEREA), École des Ponts ParisTech (ENPC)-EDF R&D (EDF R&D), EDF (EDF)-EDF (EDF), Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA (UMR_7583)), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), Groupe d'étude de l'atmosphère météorologique (CNRM-GAME), Institute for Environmental Research and Sustainable Development (IERSD), National Observatory of Athens (NOA), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, Laboratoire de Météorologie Physique - Clermont Auvergne (LaMP), Institut national des sciences de l'Univers (INSU - CNRS)-Université Clermont Auvergne (UCA)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Laboratoire d'aérologie (LA), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse III - Paul Sabatier (UT3), Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), and Météo France-Centre National de la Recherche Scientifique (CNRS)
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[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere ,[SDE.MCG]Environmental Sciences/Global Changes ,[CHIM.OTHE]Chemical Sciences/Other - Abstract
International audience; Over the last two decades, new particle formation (NPF), i.e., the formation of new particle clusters from gas-phase compounds followed by their growth to the 10–50 nm size range, has been extensively observed in the atmosphere at a given location, but their spatial extent has rarely been assessed. In this work, we use aerosol size distribution measurements performed simultaneously at Ersa (Corsica) and Finokalia (Crete) over a 1-year period to analyze the occurrence of NPF events in the Mediterranean area. The geographical location of these two sites, as well as the extended sampling period, allows us to assess the spatial and temporal variability in atmospheric nucleation at a regional scale. Finokalia and Ersa show similar seasonalities in the monthly average nucleation frequencies, growth rates, and nucleation rates, although the two stations are located more than 1000 km away from each other. Within this extended period, aerosol size distribution measurements were performed during an intensive campaign (3 July to 12 August 2013) from a ground-based station on the island of Mallorca, as well as onboard the ATR-42 research aircraft. This unique combination of stationary and mobile measurements provides us with detailed insights into the horizontal and vertical development of the NPF process on a daily scale. During the intensive campaign, nucleation events occurred simultaneously both at Ersa and Mallorca over delimited time slots of several days, but different features were observed at Finokalia. The results show that the spatial extent of the NPF events over the Mediterranean Sea might be as large as several hundreds of kilometers, mainly determined by synoptic conditions. Airborne measurements gave additional information regarding the origin of the clusters detected above the sea. The selected cases depicted contrasting situations, with clusters formed in the marine boundary layer or initially nucleated above the continent or in the free troposphere (FT) and further transported above the sea.
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- 2017
11. Intercomparison and characterization of 23 Aethalometers under laboratory and ambient air conditions: Procedures and unit-to-unit variabilities.
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Cuesta-Mosquera, Andrea, Močnik, Griša, Drinovec, Luka, Müller, Thomas, Pfeifer, Sascha, Minguillón, María Cruz, Björn, Briel, Buckley, Paul, Dudoitis, Vadimas, Fernández-García, Javier, Fernández-Amado, María, De Brito, Joel Ferreira, Flentje, Harald, Heffernan, Eimear, Kalivitis, Nikolaos, Kalogridis, Athina-Cerise, Keernik, Hannes, Marmureanu, Luminita, Luoma, Krista, and Marinoni, Angela
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AIR conditioning ,CARBONACEOUS aerosols ,AIR quality ,PHOTOMETRY ,CARBON-black ,TRACE gases ,LIGHT absorption ,SOOT - Abstract
Airborne black carbon particles are monitored in many networks to quantify its impact on air quality and climate. Given its importance, measurements of black carbon mass concentrations must be conducted with instruments operating in a quality checked and assured conditions to generate reliable and comparable data. According to WMO (World Meteorological Organization) and GAW (Global Atmosphere Watch), intercomparisons against a reference instrument are a crucial part of quality controls in measurement activities (WMO, 2016). The WMO-GAW World Calibration Centre for Aerosol Physics (WCCAP) carried out several instrumental comparison and calibration workshops of absorption photometers in the frame of ACTRIS (European Research Infrastructure for the observation of Aerosol, Clouds and Trace Gases) and the COST Action COLOSSAL (Chemical On-Line cOmpoSition and Source Apportionment of fine aerosoL) in January and June 2019. The experiments were conducted to intercompare filter-based particle light absorption photometers, specifically aethalometers AE33 (Magee Scientific), which are operated by research institutions, universities or governmental entities across Europe. The objective was to investigate the individual performance of 23 instruments and their comparability, using synthetic aerosols in a controlled environment and ambient air from the Leipzig urban background. The methodology and results of the intercomparison are presented in this work. The observed instrument-to-instrument variabilities showed differences that were evaluated, before maintenance activities (average deviation from total least square regression: 1.1%, range: -6% to 16%, for soot measurements; average deviation: 0.3%, range: -14% to 19%, for nigrosin measurements), and after they were carried out (average deviation: 0.4%, range: -8% to 14%, for soot measurements; average deviation: 1.1%, range: -15% to 11%, for nigrosin measurements). The deviations are in most of the cases explained by the filter material, the total particles load on the filter, the performance of the flow systems and previous flow check and calibrations carried out with non-calibrated devices. The results of this intensive intercomparison activity show that relatively small unit-to-unit uncertainties of AE33-based particle light absorbing measurements are possible with functioning instruments. It is crucial to follow the guidelines for maintenance activities and the use of the proper filter tape in the AE33 to assure high quality and comparable BC measurements among international observational networks. [ABSTRACT FROM AUTHOR]
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- 2020
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12. Response to Reviewer#2 for acp-2018-229
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Kalivitis, Nikolaos, primary
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- 2018
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13. acp-2018-229 Response to reviewer #1
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Kalivitis, Nikolaos, primary
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- 2018
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14. GARRLiC and LIRIC: strengths and limitations for the characterization of dust and marine particles along with their mixtures
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Tsekeri, Alexandra, primary, Lopatin, Anton, additional, Amiridis, Vassilis, additional, Marinou, Eleni, additional, Igloffstein, Julia, additional, Siomos, Nikolaos, additional, Solomos, Stavros, additional, Kokkalis, Panagiotis, additional, Engelmann, Ronny, additional, Baars, Holger, additional, Gratsea, Myrto, additional, Raptis, Panagiotis I., additional, Binietoglou, Ioannis, additional, Mihalopoulos, Nikolaos, additional, Kalivitis, Nikolaos, additional, Kouvarakis, Giorgos, additional, Bartsotas, Nikolaos, additional, Kallos, George, additional, Basart, Sara, additional, Schuettemeyer, Dirk, additional, Wandinger, Ulla, additional, Ansmann, Albert, additional, Chaikovsky, Anatoli P., additional, and Dubovik, Oleg, additional
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- 2017
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15. GARRLiC and LIRIC: strengths and limitations for the characterization of dust and marine particles along with their mixtures
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Barcelona Supercomputing Center, Tsekeri, Alexandra, Lopatin, Anton, Amiridis, Vassilis, Marinou, Eleni, Igloffstein, Julia, Siomos, Nikolaos, Solomos, Stavros, Kokkalis, Panagiotis, Engelmann, Ronny, Baars, Holger, Gratsea, Myrto, Raptis, Panagiotis I., Binietoglou, Ioannis, Mihalopoulos, Nikolaos, Kalivitis, Nikolaos, Kouvarakis, Giorgos, Bartsotas, Nikolaos, Kallos, George, Basart, Sara, Schuettemeyer, Dirk, Wandinger, Ulla, Ansmann, Albert, Chaikovsky, Anatoli P., Dubovik, Oleg, Barcelona Supercomputing Center, Tsekeri, Alexandra, Lopatin, Anton, Amiridis, Vassilis, Marinou, Eleni, Igloffstein, Julia, Siomos, Nikolaos, Solomos, Stavros, Kokkalis, Panagiotis, Engelmann, Ronny, Baars, Holger, Gratsea, Myrto, Raptis, Panagiotis I., Binietoglou, Ioannis, Mihalopoulos, Nikolaos, Kalivitis, Nikolaos, Kouvarakis, Giorgos, Bartsotas, Nikolaos, Kallos, George, Basart, Sara, Schuettemeyer, Dirk, Wandinger, Ulla, Ansmann, Albert, Chaikovsky, Anatoli P., and Dubovik, Oleg
- Abstract
The Generalized Aerosol Retrieval from Radiometer and Lidar Combined data algorithm (GARRLiC) and the LIdar-Radiometer Inversion Code (LIRIC) provide the opportunity to study the aerosol vertical distribution by combining ground-based lidar and sun-photometric measurements. Here, we utilize the capabilities of both algorithms for the characterization of Saharan dust and marine particles, along with their mixtures, in the south-eastern Mediterranean during the CHARacterization of Aerosol mixtures of Dust and Marine origin Experiment (CHARADMExp). Three case studies are presented, focusing on dust-dominated, marine-dominated and dust–marine mixing conditions. GARRLiC and LIRIC achieve a satisfactory characterization for the dust-dominated case in terms of particle microphysical properties and concentration profiles. The marine-dominated and the mixture cases are more challenging for both algorithms, although GARRLiC manages to provide more detailed microphysical retrievals compared to AERONET, while LIRIC effectively discriminates dust and marine particles in its concentration profile retrievals. The results are also compared with modelled dust and marine concentration profiles and surface in situ measurements., The research leading to these results has received funding from the European Union’s Horizon 2020 Research and Innovation Programme ACTRIS-2 (grant agreement no. 654109). The work has been developed under the auspices of the ESA-ESTEC project “Characterization of Aerosol mixtures of Dust And Marine origin” contract no. IPL-PSO/FF/lf/14.489. The work was also supported by the European Research Council under the European Community’s Horizon 2020 research and innovation framework programme/ERC grant agreement 725698 (D-TECT). The publication was supported by the European Union’s Horizon 2020 Research and Innovation programme under grant agreement no. 602014, project ECARS (East European Centre for Atmospheric Remote Sensing). The authors acknowledge support through the Stavros Niarchos Foundation. BSC-DREAM8b simulations were performed on the Mare Nostrum supercomputer hosted by the Barcelona Supercomputing Center-Centro Nacional de Supercomputación (BSC)., Peer Reviewed, Postprint (published version)
- Published
- 2017
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