The Potential of GRASP/GARRLiC Retrievals ...
Type de document :
Article dans une revue scientifique: Article original
DOI :
URL permanente :
Titre :
The Potential of GRASP/GARRLiC Retrievals for Dust Aerosol Model Evaluation: Case Study during the PreTECT Campaign
Auteur(s) :
Konsta, Dimitra [Auteur]
National and Kapodistrian University of Athens [NKUA]
Tsekeri, Alexandra [Auteur]
Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing [Penteli] [IAASARS]
Solomos, Stavros [Auteur]
Research Centre for Atmospheric Physics and Climatology [Athens]
Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing [Penteli] [IAASARS]
Siomos, Nikolaos [Auteur]
Laboratory of Atmospheric Physics [Thessaloniki]
Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing [Penteli] [IAASARS]
Gialitaki, Anna [Auteur]
Laboratory of Atmospheric Physics [Thessaloniki]
Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing [Penteli] [IAASARS]
Tetoni, Eleni [Auteur]
German Aerospace Center [DLR]
Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing [Penteli] [IAASARS]
Lopatin, Anton [Auteur]
Université de Lille
Goloub, Philippe [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Doubovik, Oleg [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Amiridis, Vassilis [Auteur]
Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing [Penteli] [IAASARS]
Nastos, Panagiotis [Auteur]
National and Kapodistrian University of Athens [NKUA]
National and Kapodistrian University of Athens [NKUA]
Tsekeri, Alexandra [Auteur]
Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing [Penteli] [IAASARS]
Solomos, Stavros [Auteur]
Research Centre for Atmospheric Physics and Climatology [Athens]
Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing [Penteli] [IAASARS]
Siomos, Nikolaos [Auteur]
Laboratory of Atmospheric Physics [Thessaloniki]
Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing [Penteli] [IAASARS]
Gialitaki, Anna [Auteur]
Laboratory of Atmospheric Physics [Thessaloniki]
Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing [Penteli] [IAASARS]
Tetoni, Eleni [Auteur]
German Aerospace Center [DLR]
Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing [Penteli] [IAASARS]
Lopatin, Anton [Auteur]
Université de Lille
Goloub, Philippe [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Doubovik, Oleg [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Amiridis, Vassilis [Auteur]
Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing [Penteli] [IAASARS]
Nastos, Panagiotis [Auteur]
National and Kapodistrian University of Athens [NKUA]
Titre de la revue :
Remote Sensing
Nom court de la revue :
Remote Sens.
Numéro :
13
Pagination :
-
Date de publication :
2021-04-06
ISSN :
2072-4292
Mot(s)-clé(s) en anglais :
GRASP
GARRLiC retrieval algorithm
aerosol properties
dust model evaluation
GARRLiC retrieval algorithm
aerosol properties
dust model evaluation
Discipline(s) HAL :
Planète et Univers [physics]/Océan, Atmosphère
Résumé en anglais : [en]
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 ...
Lire la suite >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.Lire moins >
Lire la suite >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.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
Université de Lille
CNRS
CNRS
Collections :
Date de dépôt :
2024-01-16T22:16:56Z
2024-02-14T14:04:41Z
2024-02-14T14:04:41Z
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- remotesensing-13-00873-v2.pdf
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