001008186 001__ 1008186
001008186 005__ 20240712100836.0
001008186 020__ $$a978-3-95806-691-5
001008186 0247_ $$2datacite_doi$$a10.34734/FZJ-2023-02232
001008186 037__ $$aFZJ-2023-02232
001008186 1001_ $$0P:(DE-Juel1)169740$$aKrasauskas, Lukas$$b0$$eCorresponding author$$ufzj
001008186 245__ $$aExamining transport in the Upper Troposphere – Lower Stratosphere with the infrared limb imager GLORIA$$f - 2020-07-07
001008186 260__ $$aJülich$$bForschungszentrum Jülich GmbH Zentralbibliothek, Verlag$$c2023
001008186 300__ $$a-
001008186 3367_ $$2DataCite$$aOutput Types/Dissertation
001008186 3367_ $$0PUB:(DE-HGF)3$$2PUB:(DE-HGF)$$aBook$$mbook
001008186 3367_ $$2ORCID$$aDISSERTATION
001008186 3367_ $$2BibTeX$$aPHDTHESIS
001008186 3367_ $$02$$2EndNote$$aThesis
001008186 3367_ $$0PUB:(DE-HGF)11$$2PUB:(DE-HGF)$$aDissertation / PhD Thesis$$bphd$$mphd$$s1689336496_31178
001008186 3367_ $$2DRIVER$$adoctoralThesis
001008186 4900_ $$aSchriften des Forschungszentrums Jülich Reihe Energie & Umwelt / Energy & Environment$$v606
001008186 502__ $$aDissertation, Univ. Wuppertal, 2023$$bDissertation$$cUniv. Wuppertal$$d2023
001008186 520__ $$aThe Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) is an airborne infrared limb imager that can measure temperature and trace gas concentration data in the Upper Troposphere and Lower Stratosphere (UTLS) with high vertical resolution (upo to 200 m). In addition to standard 1-D retrievals, a unique 3-D data set can be obtained by flying around the observed air mass and performing a tomographic retrieval. Such data sets have high horizontal resolution (up to 20 km×20 km) as well and can give insight into many important small-scale processes in UTLS, such as mixing, filamentation and internal gravity wave propagation. A 3-D tomographic retrieval is a highly challenging and computationally expensive inverse modelling problem. It typically requires an introduction of some general knowledge of the atmosphere (regularisation) due to its underdetermined nature. The quality of 3-D data strongly depends on regularisation. In this thesis, a consistent, physically motivated (no ad-hoc parameters) regularisation scheme based on spatial derivatives of first order and Laplacian is introduced. As shown by a case study with synthetic data, this scheme, combined with newly developed irregular grid retrieval methods, improves both upon the quality and the computational cost of 3D tomography. It also eliminates grid dependence and the need to tune parameters for each use case. The few physical parameters required can be derived from in situ measurements and model data. Tests show that an 82% reduction in the number of grid points and a 50% reduction in total computation time, compared to previous methods, could be achieved without compromising results. An efficient Monte Carlo technique was also adopted for accuracy estimation of the new retrievals.
001008186 536__ $$0G:(DE-HGF)POF4-2112$$a2112 - Climate Feedbacks (POF4-211)$$cPOF4-211$$fPOF IV$$x0
001008186 8564_ $$uhttps://juser.fz-juelich.de/record/1008186/files/Energie_Umwelt_606.pdf$$yOpenAccess
001008186 909CO $$ooai:juser.fz-juelich.de:1008186$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
001008186 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)169740$$aForschungszentrum Jülich$$b0$$kFZJ
001008186 9131_ $$0G:(DE-HGF)POF4-211$$1G:(DE-HGF)POF4-210$$2G:(DE-HGF)POF4-200$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-2112$$aDE-HGF$$bForschungsbereich Erde und Umwelt$$lErde im Wandel – Unsere Zukunft nachhaltig gestalten$$vDie Atmosphäre im globalen Wandel$$x0
001008186 9141_ $$y2023
001008186 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001008186 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
001008186 920__ $$lyes
001008186 9201_ $$0I:(DE-Juel1)IEK-7-20101013$$kIEK-7$$lStratosphäre$$x0
001008186 9801_ $$aFullTexts
001008186 980__ $$aphd
001008186 980__ $$aVDB
001008186 980__ $$aUNRESTRICTED
001008186 980__ $$abook
001008186 980__ $$aI:(DE-Juel1)IEK-7-20101013
001008186 981__ $$aI:(DE-Juel1)ICE-4-20101013