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DTSTART:20160228T110000
DTEND:20160228T110000
SUMMARY:Deciphering Jupiter's internal flow using the Juno gravity measurements and an adjoint based dynamical model
DESCRIPTION:The nature of the large-scale flow below the cloud level on Jupiter is still unknown. The observed surface wind might be confined to the upper layers, or be a manifestation of deep cylindrical flow. Moreover, it is possible that in the case where the observed wind is superficial, there exists deep flow that is completely separated from the surface. During the years 2016-17 Juno will both perform close flybys of Jupiter, obtaining a high precision gravity spectrum for the planet. This data can be used to estimate the depth of Jupiter observed cloud-level wind, and decipher a possible deep flow that is decoupled from the surface wind. In this talk I will discuss the Juno gravity experiment and the possible outcomes with regard to the flow on Jupiter.
We explore the possibility of complex wind dynamics that include both the upper-layer wind, and a deep flow that is completely detached from the flow above it. The surface flow is based on the observed cloud-level flow and is set to decay with depth. The deep flow is constructed synthetically to produce cylindrical structures with variable width and magnitude, thus allowing for a wide range of possible setups of the unknown deep flow. The combined 3D flow is then related to the density anomalies via a dynamical model and the resulting density field is then used to calculate the gravitational moments. An adjoint inverse model is constructed for the dynamical model, thus allowing backward integration of the dynamical model, from the expected observations of the gravity moments to the parameters controlling the setup of the deep and surface flows.
We show that the model can be used for examination of various scenarios, including cases in which the deep flow is dominating over the surface wind. The novelty of our adjoint based inversion approach is in the ability to identify complex dynamics including deep cylindrical flows that have no manifestation in the observed cloud-level wind. Furthermore, the flexibility of the adjoint method allows for a wide range of dynamical setups, so that when new observations and physical understanding will arise, these constraints could be easily implemented and used to better decipher Jupiter flow dynamics.
LOCATION:
TRANSP:OPAQUE
URL:https://www.weizmann.ac.il/EPS/events
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