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| Titel |
Methods of Retrieving the Ammonia Abundance Profile from Data Taken with the Juno Microwave Radiometer |
| VerfasserIn |
Amadeo Bellotti, Paul Steffes, Michael Janssen, Steven Levin, Fabiano Oyafuso |
| 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 |
250141967
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| Publikation (Nr.) |
 EGU/EGU2017-5531.pdf |
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| Zusammenfassung |
| The Juno Microwave Radiometer (MWR) has six channels ranging from 1.36–50 cm and the
ability to peer deep into the Jovian atmosphere. Various retrieval methods are being
implemented to advance the understanding of Jupiter’s atmospheric composition, structure,
and dynamics through microwave radiometry. This work includes laboratory measurements
which have been used to refine previously-existing models for the microwave opacity of
gaseous ammonia and water vapor.
Utilizing these models a Support Vector Machine algorithm has been developed to rapidly
perform inversion for the deep abundance profiles of ammonia and water vapor. This
algorithm is “trained” by using simulated emissions at the six wavelengths computed using
the Juno atmospheric microwave radiative transfer model (Janssen et. al. 2013, Icarus, 226,
522–535). By exploiting the emission measurements conducted at six wavelengths and at
various incident angles, the Support Vector Machine can provide results to a useful precision
in a computational method hundreds of times faster than conventional methods. This can
quickly provide important insights into the variability and structure of the Jovian
atmosphere.
The Juno MWR has probed as deep as 1000 bars, well beneath the water clouds. Results
will be presented giving insight into the vertical and latitudinal distribution of ammonia,
water vapor, and potential condensates. |
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