A backscatter lidar forward operator for aerosol-representing atmospheric chemistry models

State-of-the-art atmospheric chemistry models are capable of simulating the transport and evolution of aerosols and trace gases but there is a lack of reliable methods for model validation and data assimilation. Networks of automated ceilometer lidars (ACLs) could be used to fill this gap. These net...

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Main Author: Geisinger, Armin
Format: Doctoral or Postdoctoral Thesis
Language:English
Published: Universität Hohenheim 2020
Subjects:
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:100-opus-17542
http://opus.uni-hohenheim.de/volltexte/2020/1754/
id ftunivhohenheim:oai:opus.uni-hohenheim.de:1754
record_format openpolar
spelling ftunivhohenheim:oai:opus.uni-hohenheim.de:1754 2023-05-15T16:09:31+02:00 A backscatter lidar forward operator for aerosol-representing atmospheric chemistry models Geisinger, Armin 2020 application/pdf http://nbn-resolving.de/urn:nbn:de:bsz:100-opus-17542 http://opus.uni-hohenheim.de/volltexte/2020/1754/ eng eng Universität Hohenheim Fakultät Naturwissenschaften. Institut für Physik und Meteorologie http://nbn-resolving.de/urn:nbn:de:bsz:100-opus-17542 http://opus.uni-hohenheim.de/volltexte/2020/1754/ http://creativecommons.org/licenses/by/3.0/de/ CC-BY Vulkanasche Lidar Aerosol Luftfahrt Eyjafjallajökull Atmosphäre Modell Vorwärtsoperator Ceilometernetzwerk Validierung Streueigenschaften Forwardoperator Ceilometernetwork validation scattering properties Physics Thesis.Doctoral 2020 ftunivhohenheim 2022-07-05T12:43:03Z State-of-the-art atmospheric chemistry models are capable of simulating the transport and evolution of aerosols and trace gases but there is a lack of reliable methods for model validation and data assimilation. Networks of automated ceilometer lidars (ACLs) could be used to fill this gap. These networks are already used for the detection of clouds and aerosols, providing a 3D dataset of atmospheric backscatter profiles. But as the aerosol number concentration cannot be obtained from the ACL data alone; one needs a backscatter-lidar forward model to simulate lidar profiles from the model variables. Such an operator allows then for a qualitative and quantitative model validation based on ACL data. In this work, a newly developed backscatter-lidar forward operator and the related sensitivity studies are presented and results of the forward operator applied on model output data are compared to measured ACL profiles in the frame of a case study. As case study, the eruption of the Icelandic volcano Eyjafjallajökull in 2010 was chosen and extensively analyzed. The Consortium for Small-scale Modeling - Aerosols and Reactive Trace gases (COSMO-ART) model of DWD (Deutscher Wetterdienst) was operated during this event for ash-transport simulations over Europe. For the forward model, the attenuated backscatter coefficient is used as lidar-independent variable, which only relies on the laser wavelength. To calculate the attenuated backscatter coefficient, the size-dependent aerosol number concentration and the scattering properties of each aerosol type and size have to be simulated. While the aerosol number concentration is a model output variable, the scattering properties were determined by extensive scattering calculations. As these scattering calculations require assumptions about the aerosol refractive indices and shapes, sensitivity studies were performed to estimate the uncertainties related to the particle properties as represented by the model system. An analysis of the particle shape effect for the extinction and ... Doctoral or Postdoctoral Thesis Eyjafjallajökull University of Hohenheim: OPUS publication server
institution Open Polar
collection University of Hohenheim: OPUS publication server
op_collection_id ftunivhohenheim
language English
topic Vulkanasche
Lidar
Aerosol
Luftfahrt
Eyjafjallajökull
Atmosphäre
Modell
Vorwärtsoperator
Ceilometernetzwerk
Validierung
Streueigenschaften
Forwardoperator
Ceilometernetwork
validation
scattering properties
Physics
spellingShingle Vulkanasche
Lidar
Aerosol
Luftfahrt
Eyjafjallajökull
Atmosphäre
Modell
Vorwärtsoperator
Ceilometernetzwerk
Validierung
Streueigenschaften
Forwardoperator
Ceilometernetwork
validation
scattering properties
Physics
Geisinger, Armin
A backscatter lidar forward operator for aerosol-representing atmospheric chemistry models
topic_facet Vulkanasche
Lidar
Aerosol
Luftfahrt
Eyjafjallajökull
Atmosphäre
Modell
Vorwärtsoperator
Ceilometernetzwerk
Validierung
Streueigenschaften
Forwardoperator
Ceilometernetwork
validation
scattering properties
Physics
description State-of-the-art atmospheric chemistry models are capable of simulating the transport and evolution of aerosols and trace gases but there is a lack of reliable methods for model validation and data assimilation. Networks of automated ceilometer lidars (ACLs) could be used to fill this gap. These networks are already used for the detection of clouds and aerosols, providing a 3D dataset of atmospheric backscatter profiles. But as the aerosol number concentration cannot be obtained from the ACL data alone; one needs a backscatter-lidar forward model to simulate lidar profiles from the model variables. Such an operator allows then for a qualitative and quantitative model validation based on ACL data. In this work, a newly developed backscatter-lidar forward operator and the related sensitivity studies are presented and results of the forward operator applied on model output data are compared to measured ACL profiles in the frame of a case study. As case study, the eruption of the Icelandic volcano Eyjafjallajökull in 2010 was chosen and extensively analyzed. The Consortium for Small-scale Modeling - Aerosols and Reactive Trace gases (COSMO-ART) model of DWD (Deutscher Wetterdienst) was operated during this event for ash-transport simulations over Europe. For the forward model, the attenuated backscatter coefficient is used as lidar-independent variable, which only relies on the laser wavelength. To calculate the attenuated backscatter coefficient, the size-dependent aerosol number concentration and the scattering properties of each aerosol type and size have to be simulated. While the aerosol number concentration is a model output variable, the scattering properties were determined by extensive scattering calculations. As these scattering calculations require assumptions about the aerosol refractive indices and shapes, sensitivity studies were performed to estimate the uncertainties related to the particle properties as represented by the model system. An analysis of the particle shape effect for the extinction and ...
format Doctoral or Postdoctoral Thesis
author Geisinger, Armin
author_facet Geisinger, Armin
author_sort Geisinger, Armin
title A backscatter lidar forward operator for aerosol-representing atmospheric chemistry models
title_short A backscatter lidar forward operator for aerosol-representing atmospheric chemistry models
title_full A backscatter lidar forward operator for aerosol-representing atmospheric chemistry models
title_fullStr A backscatter lidar forward operator for aerosol-representing atmospheric chemistry models
title_full_unstemmed A backscatter lidar forward operator for aerosol-representing atmospheric chemistry models
title_sort backscatter lidar forward operator for aerosol-representing atmospheric chemistry models
publisher Universität Hohenheim
publishDate 2020
url http://nbn-resolving.de/urn:nbn:de:bsz:100-opus-17542
http://opus.uni-hohenheim.de/volltexte/2020/1754/
genre Eyjafjallajökull
genre_facet Eyjafjallajökull
op_relation http://nbn-resolving.de/urn:nbn:de:bsz:100-opus-17542
http://opus.uni-hohenheim.de/volltexte/2020/1754/
op_rights http://creativecommons.org/licenses/by/3.0/de/
op_rightsnorm CC-BY
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