Io is the volcanically most active body in the Solar System and has a large surface heat flux. The geological activity is thought to be the result of tides raised by Jupiter, but it is not known whether the current tidal heat production is sufficiently high to generate the observed surface heat flow. Io's tidal heat comes from the orbital energy of the Io-Jupiter system (resulting in orbital acceleration), whereas dissipation of energy in Jupiter causes Io's orbital motion to decelerate. Here we report a determination of the tidal dissipation in Io and Jupiter through its effect on the orbital motions of the Galilean moons. Our results show that the rate of internal energy dissipation in Io (k(2)/Q = 0.015 +/- 0.003, where k(2) is the Love number and Q is the quality factor) is in good agreement with the observed surface heat flow, and suggest that Io is close to thermal equilibrium. Dissipation in Jupiter (k(2)/Q = (1.102 +/- 0.203) x 10(-5)) is close to the upper bound of its average value expected from the long-term evolution of the system, and dissipation in extrasolar planets may be higher than presently assumed. The measured secular accelerations indicate that Io is evolving inwards, towards Jupiter, and that the three innermost Galilean moons (Io, Europa and Ganymede) are evolving out of the exact Laplace resonance.

Context. The Galilean satellites Europa, Ganymede, and Callisto are thought to harbor a subsurface ocean beneath an ice shell but its properties, such as the depth beneath the surface, have not been well constrained. Future geodetic observations with, for example, space missions like the Europa Jupiter System Mission (EJSM) of NASA and ESA may refine our knowledge about the shell and ocean. Aims. Measurement of librational motion is a useful tool for detecting an ocean and characterizing the interior parameters of the moons. The objective of this paper is to investigate the librational response of Galilean satellites, Europa, Ganymede, and Callisto assumed to have a subsurface ocean by taking the perturbations of the Keplerian orbit into account. Perturbations from a purely Keplerian orbit are caused by gravitational attraction of the other Galilean satellites, the Sun, and the oblateness of Jupiter. Methods. We use the librational equations developed for a satellite with a subsurface ocean in synchronous spin-orbit resonance. The orbital perturbations were obtained from recent ephemerides of the Galilean satellites. Results. We identify the wide frequency spectrum in the librational response for each Galilean moon. The librations can be separated into two groups, one with short periods close to the orbital period, and a second group of long-period librations related to the gravitational interactions with the other moons and the Sun. Long-period librations can have amplitudes as large as or even larger than the amplitude of the main libration at orbital period for the Keplerian problem, implying the need to introduce them in analyses of observations linked to the rotation. The amplitude of the short-period librations contains information on the interior of the moons, but the amplitude associated with long periods is almost independent of the interior at first order in the low frequency. For Europa, we identified a short-period libration with period close to twice the orbital period, which could have been resonantly amplified in the history of Europa. For Ganymede, we also found a possible resonance between a proper period and a forced period when the icy shell thickness is around 50 km. The librations of Callisto are dominated by solar perturbations.

[1] The gravity part of the Mars Express Radio Science Experiment consists in measuring gravity data near pericenter above selected target areas of geophysical interest. The low altitude of the Mars Express at pericenter (263 -329 km) makes it a very sensitive gravity sensor at small wavelengths which can give new constraints on the local structure of the crust and lithosphere. Mars Express gravity data can also be used to check the quality of the existing global gravity solutions. In this paper, we show that Mars Express gravity data confirm in the Tharsis area the validity of existing global gravity solutions. In particular, the resolution of the most recent global gravity solution is excellent up to harmonic degree 73 and the amplitude at short wavelength is not biased toward zero by the power law regularization up to the same degree.

This list includes many of the hundreds of current students and scientists who have made significant contributions to Mars Polar Science in the past decade. Every name listed represents a person who asked to join the white paper or agreed to be listed and provided some comments.

The PLANET TOPERS (Planets, Tracing the Transfer, Origin, Preservation, and Evolution of their ReservoirS) group is an Inter-university attraction pole (IAP) addressing the question of habitability in our Solar System. Habitability is commonly understood as "the potential of an environment (past or present) to support life of any kind" (Steele et al., 2005, http://mepag.jpl.nasa.gov/reports/archive.html). Based on the only known example of Earth, the concept refers to whether environmental conditions are available that could eventually support life, even if life does not currently exist (Javaux and Dehant, 2010, Astron. Astrophys. Rev., 18, 383-416, DOI: 10.1007/s00159-010-0030-4). Life includes properties such as consuming nutrients and producing waste, the ability to reproduce and grow, pass on genetic information, evolve, and adapt to the varying conditions on a planet (Sagan, 1970, Encyclopedia Britannica, 22, 964-981). Terrestrial life requires liquid water. The stability of liquid water at the surface of a planet defines a habitable zone (HZ) around a star. In the Solar System, it stretches between Venus and Mars, but excludes these two planets. If the greenhouse effect is taken into account, the habitable zone may have included early Mars while the case for Venus is still debated. Important geodynamic processes affect the habitability conditions of a planet. As envisaged by the group, this IAP develops and closely integrates the geophysical, geological, and biological aspects of habitability with a particular focus on Earth neighboring planets, Mars and Venus. It works in an interdisciplinary approach to understand habitability and in close collaboration with another group, the Helmholtz Alliance "Life and Planet Evolution", which has similar objectives. The dynamic processes, e.g. internal dynamo, magnetic field, atmosphere, plate tectonics, mantle convection, volcanism, thermo-tectonic evolution, meteorite impacts, and erosion, modify the planetary surface, the possibility to have liquid water, the thermal state, the energy budget and the availability of nutrients. Shortly after formation (Hadean 4.4-4.0 Ga (billion years)), evidence supports the presence of a liquid ocean and continental crust on Earth (Wilde et al., 2001, Nature, 409, 175-178), Earth may thus have been habitable very early on. The origin of life is not understood yet but the oldest putative traces of life occur in the early Archaean (∼3.5 Ga). Studies of early Earth habitats documented in rock containing traces of fossil life provide information about environmental conditions suitable for life beyond Earth, as well as methodologies for their identification and analyses. The extreme values of environmental conditions in which life thrives today can also be used to characterize the "envelope" of the existence of life and the range of potential extraterrestrial habitats. The requirement of nutrients for biosynthesis, growth, and reproduction suggest that a tectonically active planet, with liquid water is required to replenish nutrients ...

Illustration of a two-member constellation of small spacecraft at Venus with crosslinks for radio occultations that can lead to global coverage with high spatial and temporal resolutions.

<p> </p> <p>                This project takes advantage of the NOMAD spectrometer observations, on board the 2016 ExoMars Trace Gas Orbiter. These observations will help to determine the Martian surface properties. This work focuses on surface ice detection.</p> <p>ExoMars is an ESA-Roscosmos joint mission consisting of an orbiter (Trace Gas Orbiter - TGO). The Nadir and Occultation for Mars Discovery (NOMAD) is one of the four instruments on board TGO. The instrument is a suite of three spectrometers designed to observe the atmosphere and the surface of Mars in the UV, visible and IR. For this study, the Limb, Nadir and Occultation (LNO) channel, operating in the IR, is selected [1,3]. Thanks to the nadir geometry, the NOMAD-LNO spectrometer can provide information on Martian surface, in particular on surface ices. Ice deposits exhibit specific IR signatures in the 2.3-3.8 μm range of NOMAD-LNO, which reveals information on their composition, texture and size of the ice grains [4].</p> <p>We use the NOMAD nadir data to map the presence of ices for MY 34 (Ls = 150°-360°) and MY 35 (Ls = 0°-210°) with a solar zenith angle below 80 degrees. Raw data have been calibrated by using full solar scans to provide the reflectance factor which is the spectral radiance measured by NOMAD divided by the solar spectral irradiance corrected for the incident angle.</p> <p>We use spectral indices based on reflectance factor similar to G. Bellucci et al., 2019 [2]. An ice index is defined as a ratio between two orders taking into account the albedo variations.  The objective is to remove the atmospheric effects. In this work, we propose different indices to detect the two polar caps and the sublimation process. The orders 194 (2275 - 2293.2 nm), 189 (2335.2 - 2363.9 nm) and 167 (2642.8 - 2663.9 nm) have been selected. We call Index 1, the index defined as 189/167 [5], and Index 2, 194/167. While orders 194 and 189 have wavelengths on the radiance continuum, the order 167 is located on the shoulder of 2.7 µm CO<sub>2</sub>/H<sub>2</sub>O ices absorption.</p> <p>All LNO observations considered in this study with the orders given above are organized as Latitude and Solar longitude maps, called seasonal maps. Figure 1 shows the seasonal map for Index 1 during MY 34. The good coverage allows observing the sublimation process for the southern polar cap between the 150°-250° solar longitude.  Due to the lack of observations, the detection of the northern polar cap does not seem very clear. Nevertheless, Index 1 gives high values between Ls = 320°-340° and for latitudes above 60° which should correspond to the polar cap in that region. Figure 2 shows the same index for MY 35. The sublimation process can be observe for the northern polar cap between Ls= 0°-30°. A small detection of the southern polar cap can be see after Ls = 200°.</p> <p>Figure 3 shows the seasonal map for Index 2. There are observations only for MY35 and many gaps are present due to the lack of observations. Nevertheless, the two polar caps can be observe in the plot. Index 2 gives the two sublimation processes between Ls = 0°-30° for the northern polar cap and around Ls = 200° for the southern polar cap.</p> <p>Those new results extend the temporal and spatial of the previous work (G. Bellucci et al., 2019 [2] and L. Ruiz Lozano et al., 2019 [5]).</p> <p> </p> <p><img src="data:image/gif;base64, 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" alt="" /></p> <p>Figure 1: Seasonal map of Index 1 for MY 34 showing the sublimation of the southern polar cap.</p> <p><strong> </strong></p> <p><img src="data:image/gif;base64, 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