Previous models of Mercury's core magnetic field based on high altitude data from first MESSENGER flybys revealed an axisymmetric. Here we use low altitude MESSENGER data covering the entire mission period to construct spherical harmonic models based on various spatial norms. Although we find a dominantly axisymmetric field, our models nevertheless include detectable deviations from axisymmetry. These non-axisymmetric features appear at high latitudes, resembling intense geomagnetic flux patches at Earth's core-mantle boundary. Based on this core field morphology, we then attempt to infer Mercury's internal structure. More specifically, assuming that Mercury's high-latitude non-axisymmetric features are concentrated by downwellings at the edge of the planet's inner core tangent cylinder, and accounting for the presence of a stably stratified layer at the top of Mercury's core, we establish a relation between the inner core size and the thickness of the stratified layer. Considering plausible ranges, we propose that Mercury's inner core size is about 500-660 km, which corresponds to a stratified layer thickness of 880-500 km, respectively.

Jupiter possesses the strongest magnetic field of all planets in the solar system. Unique information about the dynamo process acting at Jupiter can be inferred by modelling and interpreting its field. Using the fluxgate magnetometer measurements acquired during the four years of the Juno mission, we derive an internal and secular magnetic field model in spherical harmonics. The static part is derived to degree 16 with a secular time variation to degree 8. We use properties of the power spectrum of the static field to infer the upper boundary of the dynamo convective region at 0.830±0.022 Jupiter radius. This confirms the role of the transition layer in the field generation inside Jupiter. The secular variation timescales indicate that advective effects dominate the dynamo and the secular variation structures estimated at the dynamo radius suggest that the complex flow involves non-zonal features.