2020 events

Sat 11:00-11:30
Venue: 
Starlight Room

New Approaches to Retrievals of Jovian Atmospheric State

Padma A. Yanamandra-Fisher and The PACA Jupiter Facebook Group

The PACA Project and Space Science Institute

Jupiter’s atmosphere exhibits dramatic and dynamic changes at all levels. With the arrival of the NASA/Juno spacecraft at Jupiter in 2016, combined with ground-based observations (current and legacy, professional and amateur) of Jupiter, we seek to characterize the variability of Jupiter’s atmosphere at various latitudes as a function of time. The data used in our study includes a combination of professional and amateur observations in the spectral range of 0.5– 4.0 microns, from 2015 to present (and legacy data from 1991 as needed).

Traditional atmospheric retrieval methods use a priori assumptions of the atmosphere, and require large amounts of clock time to run. I present non-traditional approaches via professional-amateur observer collaborations to understand the observed variations in Jupiter’s atmosphere, such as regular cylindrical and geospatial mapping of the planetary disk; statistical approaches such as Principal Component Analysis (PCA) to study the interaction of discrete features on the planet; limb polarization, allowing the probing of hazes in the atmosphere; and visualization of these results. These approaches take advantage of emerging fields such as virtual reality, astrostatistics, and the involvement of a global network of amateur astronomers via the FACA_Jupiter Facebook group.

Going forward after the completion of the NASA/Juno mission, PACA_Jupiter will continue pro-am collaborations with amateurs and include legacy data to compare if there is reproducibility in the variability data. Other approaches that will continue and be updated are: multiple approaches in parallel: image planet, apply GIS analysis, visualization to explore variability; compare with traditional methods to determine latent variables of the atmosphere that influence changes in the atmosphere; and incorporate other observations such as thermal data, spectra, and polarization.