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| Titel |
Estimating atmospheric temperature profile by an airborne microwave radiometer |
| VerfasserIn |
Jun Zhang, Jian Xu, Mareike Kenntner, Franz Schreier, Adrian Doicu |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250150338
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| Publikation (Nr.) |
 EGU/EGU2017-14786.pdf |
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| Zusammenfassung |
| As the rising atmospheric issues such as climate change, air pollution, and ozone depletion
have extracted extensive attraction worldwide, observing and modeling of atmospheric
quantities becomes critical to our understanding of the environment. This work
focuses on the performance of an airborne passive microwave radiometer called
MTP (Microwave Temperature Profiler). We aim to obtain vertically distributed
atmospheric temperature from intensities measured by the instrument in terms of three
frequencies and ten viewing angles. A retrieval program TIRAMISU (Temperature
InveRsion Algorithm for MIcrowave SoUnding) has been utilized for processing the
MTP data. To solve this severely ill-posed inverse problem, an analysis of different
ways of constructing the penalty term onto the Tikhonov-type objective function is
conducted. This numerical analysis can help us to better understand pros and cons of
these regularization methods and to investigate the measurement capabilities of
MTP. |
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