Mathematical tool for a closure study of aerosol microphysical property retrieval using lidar and photometer data

We present a project combining lidar, photometer and particle counter data with a regularization software tool for a closure study of aerosol microphysical property retrieval. In a first step only lidar data are used to retrieve the particle size distribution (PSD). Secondly, photometer data are add...

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Published in:IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
Main Authors: Böckmann, Christine (Dr.), Ritter, Christoph, Cappelletti, David
Format: Other/Unknown Material
Language:English
Published: 2018
Subjects:
Online Access:https://publishup.uni-potsdam.de/opus4-ubp/frontdoor/index/index/docId/54208
https://doi.org/10.1109/IGARSS.2018.8518674
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spelling ftubpotsdam:oai:kobv.de-opus4-uni-potsdam:54208 2023-05-15T18:29:44+02:00 Mathematical tool for a closure study of aerosol microphysical property retrieval using lidar and photometer data Böckmann, Christine (Dr.) Ritter, Christoph Cappelletti, David 2018-11-05 https://publishup.uni-potsdam.de/opus4-ubp/frontdoor/index/index/docId/54208 https://doi.org/10.1109/IGARSS.2018.8518674 eng eng https://publishup.uni-potsdam.de/opus4-ubp/frontdoor/index/index/docId/54208 978-1-5386-7150-4 https://doi.org/10.1109/IGARSS.2018.8518674 info:eu-repo/semantics/closedAccess ddc:510 Institut für Mathematik other doc-type:Other 2018 ftubpotsdam https://doi.org/10.1109/IGARSS.2018.8518674 2022-07-28T20:51:26Z We present a project combining lidar, photometer and particle counter data with a regularization software tool for a closure study of aerosol microphysical property retrieval. In a first step only lidar data are used to retrieve the particle size distribution (PSD). Secondly, photometer data are added, which results in a good consistency of the retrieved PSDs. Finally, those retrieved PSDs may be compared with the measured PSD from a particle counter. The data here were taken in Ny Alesund, Svalbard, as an example. Other/Unknown Material Svalbard University of Potsdam: publish.UP Svalbard IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium 5575 5578
institution Open Polar
collection University of Potsdam: publish.UP
op_collection_id ftubpotsdam
language English
topic ddc:510
Institut für Mathematik
spellingShingle ddc:510
Institut für Mathematik
Böckmann, Christine (Dr.)
Ritter, Christoph
Cappelletti, David
Mathematical tool for a closure study of aerosol microphysical property retrieval using lidar and photometer data
topic_facet ddc:510
Institut für Mathematik
description We present a project combining lidar, photometer and particle counter data with a regularization software tool for a closure study of aerosol microphysical property retrieval. In a first step only lidar data are used to retrieve the particle size distribution (PSD). Secondly, photometer data are added, which results in a good consistency of the retrieved PSDs. Finally, those retrieved PSDs may be compared with the measured PSD from a particle counter. The data here were taken in Ny Alesund, Svalbard, as an example.
format Other/Unknown Material
author Böckmann, Christine (Dr.)
Ritter, Christoph
Cappelletti, David
author_facet Böckmann, Christine (Dr.)
Ritter, Christoph
Cappelletti, David
author_sort Böckmann, Christine (Dr.)
title Mathematical tool for a closure study of aerosol microphysical property retrieval using lidar and photometer data
title_short Mathematical tool for a closure study of aerosol microphysical property retrieval using lidar and photometer data
title_full Mathematical tool for a closure study of aerosol microphysical property retrieval using lidar and photometer data
title_fullStr Mathematical tool for a closure study of aerosol microphysical property retrieval using lidar and photometer data
title_full_unstemmed Mathematical tool for a closure study of aerosol microphysical property retrieval using lidar and photometer data
title_sort mathematical tool for a closure study of aerosol microphysical property retrieval using lidar and photometer data
publishDate 2018
url https://publishup.uni-potsdam.de/opus4-ubp/frontdoor/index/index/docId/54208
https://doi.org/10.1109/IGARSS.2018.8518674
geographic Svalbard
geographic_facet Svalbard
genre Svalbard
genre_facet Svalbard
op_relation https://publishup.uni-potsdam.de/opus4-ubp/frontdoor/index/index/docId/54208
978-1-5386-7150-4
https://doi.org/10.1109/IGARSS.2018.8518674
op_rights info:eu-repo/semantics/closedAccess
op_doi https://doi.org/10.1109/IGARSS.2018.8518674
container_title IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
container_start_page 5575
op_container_end_page 5578
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