An adjoint based method for the inversion of the Juno and Cassini gravity measurements into wind fields
Eli Galanti, Yohai Kaspi

TL;DR
This paper develops an inverse dynamical model using an adjoint approach to infer the depth and structure of planetary winds from gravity measurements of Jupiter and Saturn, enabling better understanding of their interior dynamics.
Contribution
It introduces an adjoint-based inverse method to derive 3D wind and density perturbations from gravity data, a novel approach compared to previous forward-only models.
Findings
Gravity data can estimate wind depth on Jupiter and Saturn.
Measurement errors affect the precision of wind depth determination.
Gravity moments are sensitive to flows at intermediate depths, indicating potential for detecting deep winds.
Abstract
During 2016-17 the Juno and Cassini spacecraft will both perform close eccentric orbits of Jupiter and Saturn, respectively, obtaining high-precision gravity measurements for these planets. This data will be used to estimate the depth of the observed surface flows on these planets. All models to date, relating the winds to the gravity field, have been in the forward direction, thus allowing only calculation of the gravity field from given wind models. However, there is a need to do the inverse problem since the new observations will be of the gravity field. Here, an inverse dynamical model, is developed to relate the expected measurable gravity field, to perturbations of the density and wind fields, and therefore to the observed cloud-level winds. In order to invert the gravity field into the 3D circulation, an adjoint model is constructed for the dynamical model, thus allowing backward…
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