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dc.contributor.advisorDavies, Rogeren
dc.contributor.authorHorvath, Akos
dc.creatorHorvath, Akosen
dc.date.accessioned2018-03-02T23:06:27Z
dc.date.available2018-03-02T23:06:27Z
dc.date.issued1999
dc.identifier.urihttp://hdl.handle.net/10150/626978
dc.description.abstractThe feasibility of deriving cloud motion vectors from data to be obtained by the Multiangle Imaging SpectroRadiometer (MISR) is demonstrated. It is shown that from a triplet of near-simultaneous multi-angle imagery cloud motion and height can be separated. The expected errors in the calculated cloud top height and cloud velocity are approximately 300 m and 3 rn/s, respectively, with the cross-track velocities being more accurate than the along-track ones. The possibility of determining the speeds of individual layers in a 2-layer configuration is also illustrated. The necessary conditions for separating cloud height and motion and the optimal choice of wind retrieval cameras are discussed. A 3-D ray intersection algorithm is derived to simultaneously compute cloud top height and speed. The algorithm is tested on simulated clear-sky and cloudy datasets. Possible applications of MISR winds include studies of large-scale average wind patterns or synoptic-scale phenomenon, and numerical weather prediction.
dc.language.isoen_USen
dc.publisherThe University of Arizona.en
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en
dc.titleOn the feasibility of MISR cloud-motion wind retrievalsen_US
dc.typetexten
dc.typeThesis-Reproduction (electronic)en
thesis.degree.grantorUniversity of Arizonaen
thesis.degree.levelmastersen
thesis.degree.disciplineGraduate Collegeen
thesis.degree.disciplineAtmospheric Sciencesen
thesis.degree.nameM.S.en
dc.description.noteDigitized from a paper copy provided by the Department of Hydrology & Atmospheric Sciences.en
refterms.dateFOA2018-06-17T09:24:28Z
html.description.abstractThe feasibility of deriving cloud motion vectors from data to be obtained by the Multiangle Imaging SpectroRadiometer (MISR) is demonstrated. It is shown that from a triplet of near-simultaneous multi-angle imagery cloud motion and height can be separated. The expected errors in the calculated cloud top height and cloud velocity are approximately 300 m and 3 rn/s, respectively, with the cross-track velocities being more accurate than the along-track ones. The possibility of determining the speeds of individual layers in a 2-layer configuration is also illustrated. The necessary conditions for separating cloud height and motion and the optimal choice of wind retrieval cameras are discussed. A 3-D ray intersection algorithm is derived to simultaneously compute cloud top height and speed. The algorithm is tested on simulated clear-sky and cloudy datasets. Possible applications of MISR winds include studies of large-scale average wind patterns or synoptic-scale phenomenon, and numerical weather prediction.


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