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Article

The Potential of GRASP/GARRLiC Retrievals for Dust Aerosol Model Evaluation: Case Study during the PreTECT Campaign

1
Laboratory of Climatology & Atmospheric Environment, Faculty of Geology and Geoenvironment, National and Kapodistrian University of Athens, University Campus, GR-15784 Athens, Greece
2
Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, I. Metaxa & Vas. Pavlou Penteli, GR-15236 Nea Penteli Attica, Greece
3
Research Centre for Atmospheric Physics and Climatology, Academy of Athens, 84 Solonos St., GR-10680 Athens, Greece
4
Laboratory of Atmospheric Physics, Physics Department, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece
5
Institute of Atmospheric Physics, German Aerospace Center (DLR), Münchner Str. 20, 82234 Oberpfaffenhofen, Germany
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GRASP SAS, 59650 Villeneuve d’Ascq, France
7
UMR 8518-LOA-Laboratoire d’Optique Atmosphérique, CNRS, University Lille, 59000 Lille, France
*
Author to whom correspondence should be addressed.
Academic Editors: Alexander Kokhanovsky and Gerrit de Leeuw
Remote Sens. 2021, 13(5), 873; https://doi.org/10.3390/rs13050873
Received: 29 December 2020 / Revised: 20 February 2021 / Accepted: 23 February 2021 / Published: 26 February 2021
We use the Generalized Retrieval of Aerosol Surface Properties algorithm (GRASP) to compare with dust concentration profiles derived from the NMME-DREAM model for a specific dust episode. The GRASP algorithm provides the possibility of deriving columnar and vertically-resolved aerosol properties from a combination of lidar and sun-photometer observations. Herein, we apply GRASP for analysis of a Saharan dust outburst observed during the “PREparatory: does dust TriboElectrification affect our ClimaTe” campaign (PreTECT) that took place at the North coast of Crete, at the Finokalia ACTRIS station. GRASP provides column-averaged and vertically resolved microphysical and optical properties of the particles. The retrieved dust concentration profiles are compared with modeled concentration profiles derived from the NMME-DREAM dust model. To strengthen the results, we use dust concentration profiles from the POlarization-LIdar PHOtometer Networking method (POLIPHON). A strong underestimation of the maximum dust concentration is observed from the NMME-DREAM model. The reported differences between the retrievals and the model indicate a high potential of the GRASP algorithm for future studies of dust model evaluation. View Full-Text
Keywords: GRASP/GARRLiC retrieval algorithm; aerosol properties; dust model evaluation GRASP/GARRLiC retrieval algorithm; aerosol properties; dust model evaluation
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MDPI and ACS Style

Konsta, D.; Tsekeri, A.; Solomos, S.; Siomos, N.; Gialitaki, A.; Tetoni, E.; Lopatin, A.; Goloub, P.; Dubovik, O.; Amiridis, V.; Nastos, P. The Potential of GRASP/GARRLiC Retrievals for Dust Aerosol Model Evaluation: Case Study during the PreTECT Campaign. Remote Sens. 2021, 13, 873. https://doi.org/10.3390/rs13050873

AMA Style

Konsta D, Tsekeri A, Solomos S, Siomos N, Gialitaki A, Tetoni E, Lopatin A, Goloub P, Dubovik O, Amiridis V, Nastos P. The Potential of GRASP/GARRLiC Retrievals for Dust Aerosol Model Evaluation: Case Study during the PreTECT Campaign. Remote Sensing. 2021; 13(5):873. https://doi.org/10.3390/rs13050873

Chicago/Turabian Style

Konsta, Dimitra, Alexandra Tsekeri, Stavros Solomos, Nikolaos Siomos, Anna Gialitaki, Eleni Tetoni, Anton Lopatin, Philippe Goloub, Oleg Dubovik, Vassilis Amiridis, and Panagiotis Nastos. 2021. "The Potential of GRASP/GARRLiC Retrievals for Dust Aerosol Model Evaluation: Case Study during the PreTECT Campaign" Remote Sensing 13, no. 5: 873. https://doi.org/10.3390/rs13050873

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