Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/7795
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dc.contributor.authorOsterloh, Lukas-
dc.contributor.authorBöckmann, Christine-
dc.contributor.authorMamouri, Rodanthi-Elisavet-
dc.contributor.authorPapayannis, Alexandros D.-
dc.date.accessioned2013-03-11T08:00:03Zen
dc.date.accessioned2013-05-17T05:22:23Z-
dc.date.accessioned2015-12-02T10:02:21Z-
dc.date.available2013-03-11T08:00:03Zen
dc.date.available2013-05-17T05:22:23Z-
dc.date.available2015-12-02T10:02:21Z-
dc.date.issued2011-
dc.identifier.citationOpen Atmospheric Science Journal, 2011, vol. 5, no. 1, pp. 61-73en_US
dc.identifier.issn1874-2823-
dc.description.abstractWe propose a new iterative algorithm for the retrieval of the microphysical properties of stratospheric and tropospheric aerosols from multiwavelength lidar data. We consider the basic equation as an ill-posed problem and solve the system derived from spline collocation via a Padé iteration. The algorithm takes special care of the fact that the reconstruction of the distribution via spline collocation is very sensitive to the choice of base points of the chosen spline basis. The algorithm makes use of this fact by changing the base points used for the spline collocation at certain iteration steps. In addition, the effects of projection to ensure a nonnegative solution are examined. We tested how well this and other algorithms are suitable for retrieving the complex refractive index of the particles as well. We also examine whether the algorithm is capable of distinguishing between different, very small imaginary parts of the refractive index, which is often a main problem in practice. Finally, the algorithm is applied to real multiwavelength Raman lidar data and our results are partially validated by the thermodynamic chemical model Isorropia II.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.publisherBentham Scienceen
dc.relation.ispartofOpen Atmospheric Science Journalen_US
dc.rights© Osterloh et al. Licensee Bentham Open. This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.en_US
dc.subjectAerosol particlesen_US
dc.subjectInverse problemen_US
dc.subjectLidaren_US
dc.subjectMicrophysical parametersen_US
dc.titleAn adaptive base point algorithm for the retrieval of aerosol microphysical propertiesen_US
dc.typeArticleen_US
dc.affiliationNational Technical University Of Athensen
dc.collaborationUniversity of Potsdamen_US
dc.collaborationNational Technical University of Athensen_US
dc.subject.categoryOther Social Sciencesen_US
dc.journalsOpen Accessen_US
dc.countryGermanyen_US
dc.countryGreeceen_US
dc.subject.fieldSocial Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.2174/1874282301105010061en_US
dc.dept.handle123456789/54en
dc.relation.issue1en_US
dc.relation.volume5en_US
cut.common.academicyear2010-2011en_US
dc.identifier.spage61en_US
dc.identifier.epage73en_US
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-4836-8560-
crisitem.author.parentorgFaculty of Engineering and Technology-
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