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An ice crystal model for Jupiter’s moon Europa

Published online by Cambridge University Press:  14 September 2017

Karen Guldbæ K Schmidt
Affiliation:
Center for Planetary Science, University of Copenhagen, Juliane Maries Vej 30, DK-2100 Copenhagen, Denmark E-mail: kgs@gfy.ku.dk
Dorthe Dahl-Jensen
Affiliation:
Center for Planetary Science, University of Copenhagen, Juliane Maries Vej 30, DK-2100 Copenhagen, Denmark E-mail: kgs@gfy.ku.dk
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Abstract

A simple model for crystal growth in the ice shell of Europa has been made in order to estimate the size of ice crystals at Europa’s surface. If mass is lost from the surface of Europa due to sputtering processes, and the ice thickness is constant in time, ice crystals will be transported upwards in the ice shell. The crystals will therefore grow under varying conditions through the shell. The model predicts that ice crystals are 4 cm– 80 m across at the surface. For the preferred parameter values, a crystal size of the order of 7 m is calculated.

Type
Research Article
Copyright
Copyright © The Author(s) [year] 2003

Introduction

Images of Jupiter’s moon Europa from spacecraft show a bright young surface crisscrossed with linear structures, indicating an active environment. It is believed that Europa is covered by a water ice shell above an approximately 100km deep ocean of liquid water (Andersen and others, 1998; Reference PappalardoPappalardo and others, 1999).

The energy needed to keep the ocean from freezing under the cold surface conditions on Europa and for driving tectonic activity is believed to be dissipation energy from tidal forces acting on the ice shell. Europa is in synchronous rotation around Jupiter and should not experience time-varying deformation if the orbit is circular. However, an eccentric orbit is maintained by the Laplace resonance between the three inner Galilean satellites: Io, Europa and Ganymede. This causes the ice shell to flex 35 m with a period of 3.55 days (Reference GreenbergGreenberg and others, 1998).

The amount of tidal energy dissipated depends on the deformation properties of the ice shell, which are governed by ice thickness, temperature profile, ice crystal sizes, fabric and structure, and impurity content of the ice. These parameters have not been measured directly, so modelling, based on the data measured by spacecraft, is the only currently available way of gaining insight into possible processes and conditions in Europa’s ice and ocean.

The idea of this study is to estimate the sizes of ice crystals at Europa’s surface. It was inspired by looking at the Galileo images from the Conamara Chaos region, a region of disrupted surface, where polygonal blocks of ice up to 20 km in diameter have floated in a low-viscous layer below. Ice on Earth has a hexagonal crystal structure and is classified as ice Ih. This gives rise to the question: are the polygonal shapes of the ice blocks caused by the hexagonal structure of large ice crystals? It is plausible that large crystals could be found, because, unless disturbed, any crystal will continue to grow in time.

An Ice Crystal Model

Mass is lost from the surface of Europa due to sputtering by energetic ions (Reference Ip, Williams, Mcentire and MaukIp and others, 1998). If the ice thickness at a given position is assumed to be constant in time, there should be freezing of sea water to the lower boundary of the ice, to compensate for the mass lost from the surface. An element of ice would therefore move upwards, relative to the boundaries of the ice, with a velocity corresponding to the rate of mass loss. As new ice crystals formed at the base of the ice shell are transported upwards, the ice temperature changes, which influences crystal growth. The crystals grow fast near the bottom, where the ice is at the melting point.

Ice crystals grow by grain boundary migration, a process mainly driven by the curvature of grain boundaries and by differences in stored energy between the grains. In this study, it is assumed that crystals grow following the normal grain-growth law(Reference W. S. B.Paterson, 1994)

(1)

where D2 is the cross-sectional area of crystals of age t and D 2 0 is the initial crystal size. The growth rate k is temperature-dependent and given by

(2)

where E is the activation energy for grain boundary self-diffusion, T is the temperature and R is the gas constant.

(3)

For varying temperature through the ice, Equation (1) can be rewritten as

(4)

where d(D2) is the cross-sectional area by which the crystals grow.

For the ice crystal model for Europa, with v = dz/dt, the analytical expression for the crystal size at the surface is

The temperature profile T(z) of the ice is determined by the volumetric tidal heat dissipation q, the temperature at the surface Ts and at the base Tb. The temperature profile for the ice shell used in this study is given by (Reference Chyba, Ostro and EdwardsChyba and others, 1998)

where Ts is the temperature at the surface and h = bln(Tb/Ts).

Equations (4) and (5) are solved using a finite-difference scheme, and the final crystal size at the surface D 2 s is found. The sizes of the crystals are described by a length parameter ds corresponding to the diameter of a circle of area D2s. In order to calculate ds the values of the following parameters are needed: the ice thickness b, the mass loss rate due to sputtering v, the surface temperature Ts, and the base temperature Tb.

For each parameter a reference value is chosen based on spacecraft measurements and models. Since there is an uncertainty in these values, tests are made for a range of values around the reference value. In these tests, the surface crystal size ds is found for the range of values listed in Table 1 for the examined parameter, and the rest of the parameters held constant at their reference values.

Table 1. Values of the parameters used

The age of the crystals at the surface is the total time it takes for them to be moved from base to surface. The initial crystal size is assumed to be d0 = 10–8 m. The model is not sensitive to this value, since the crystal typically grows several cm or tens of cm in the first iteration.

For the reference values, an ice shell with a net mass-loss rate of v = 0.2 m Myr–1, an ice thickness b = 2 km, a surface temperature Ts= 100 K, and abase temperature Tb = 273 K, a crystal size in the upper part of the ice of ds = 7 m is found (Fig. 1).

Fig. 1. (a) Plot of crystal size d(z) vs depth zfor an ice shell with thickness b = 2000 m and a mass-loss rate v = 0.2 m Myr–1; inset is a close-up of the lowermost 20 m. (b) Plot of temperature T(z) vs depth z. The temperatures at the boundaries are Ts = 100K and Tb = 273K.

Discussion and Results for the Values of Parameters Used

Rate of mass loss

Mass loss due to sputtering has been detected at the surface of Europa. The rate of mass loss estimated by Reference Ip, Williams, Mcentire and MaukIp and others (1998) is v = 0.2 m Myr–1. Reference Cooper, Johnson, Mauk, Garrett and GehrelsCooper and others (2001) gave an estimate v = 0.016 m Myr–1 of the lower limit for the rate of mass loss.

The rate of mass loss can also be constrained by a simple calculation of how long it takes to erase details in the surface topography. A typical vertical scale of the topography for the stratigraphically oldest plain areas on Europa is 10 m (Reference PappalardoPappalardo and others, 1999). Larger topography variations also occur; an example is the rim-to-floor depth of ∼300 m for the crater Govannan (Reference MooreMoore and others, 1998). This vertical scale of topography should be erased on the time-scale of the age of the surface. The surface age, found by crater counts, has been estimated to be 55 Myr with an uncertainty of a factor of 5 (Reference Zahnle, Dones and LevisonZahnle and others, 1998, with corrections by Reference PappalardoPappalardo and others, 1999). The limits for the rate of mass loss thus become: vmin = 10 m/(55×5)Myr = 0.04 m Myr–1 and vmax = 300m/(55/5)Myr = 27 m Myr–1.

A range of values for the mass-loss rate v of 0.01– 27 m Myr–1 are used for the calculation of ds. In Figure 2, ds as a function of v for different ice thicknesses is shown. The crystal size is inversely proportional to the rate of mass loss. Larger ice crystals are produced for low values of v. This is because a low mass-loss rate v causes a slow vertical ice velocity in the ice shell, resulting in longer travel times for the ice crystals through the ice shell.

Fig. 2. The crystal size at the surface ds as a function of rate of mass loss v for three different ice thicknesses.

Ice thickness

From modelling of Europa’s gravitational field, it is estimated that the outermost 80–170 km consists of water in the form of ice or liquid (Reference Anderson, Schubert, Jacobson, Lau, Moore and SjogrenAnderson and others, 1998). The thickness of the ice shell is estimated by theoretical modelling and geological observations. A thin ice thickness makes a liquid ocean probable.

The thickness of the ice shell on top of the liquid ocean is controlled by energy balance in the system. The tidal heat dissipation depends on the ice thickness, since a thin ice is easier to deform than a thick ice. The phenomena of dissipative heating and cooling by conduction or convection involve non-linear feedback mechanisms. They are associated with the dependence of temperature on internal heat production from deformation and heat flow into the ice at its boundaries, as well as the dependence of deformation properties of the ice on temperature.

There are presently differing opinions on the thickness of the ice shell. In the thick-ice model the ice shell is composed of a w a rm convecting layer of ice beneath a cold, thin rigid lid. There may be a liquid ocean under the convecting layer. In the thin-ice model the ice shell is just a few km thick, and it lies on top of a liquid ocean. For the thick-ice model, ice thicknesses are usually estimated to be 5–25 km, where the rigid lid is assumed to be a few km thick (Reference PappalardoPappalardo and others, 1999). For the thin-ice model, ice thicknesses are usually estimated to be 0.2–3.0 km (Reference Williams and GreeleyWilliams and Greeley, 1998).

Both the thin-ice and the thick-ice model are adaptable with the crystal growth model. For the thin-ice model, the solution is straightforward: the thickness of the ice shell corresponds to the ice thickness b used in the crystal model. For the thick-ice model, the thickness of the rigid lid is used as the ice thickness in the model, as this layer is the crystalline heat-conducting part of the ice, where the model set-up can be applied.

A range of values of the ice thickness of 0.2–10 km was used for calculation of ds.

A thick ice shell causes the crystals to travel for a longer time through the shell, so that they grow for a correspondingly longer period than for a thin ice shell. As seen in Figure 2, for large values of the ice thickness b, large values of ds are found.

Temperature at the ice–ocean intersection

The salt concentration of the ocean and total ice thickness of the ice shell are unknown, so a range of base temperatures seem reasonable to test, since it is most probable that the freezing-point temperature at the ice–ocean intersection is < 273 K. An important reason for this is that soluble salts lower the freezing-point temperature of the water by several tens of °C. Another reason is that the pressure of the overlying ice shell decreases the freezing-point temperature of the sea water by a few °C. This is a second-order effect compared to the effect of the salt.

For the thin-ice model, the base temperature of Europa’s ice shell must be at the freezing-point temperature of the sea water beneath. For the thick-ice model, the base temperature is the adiabatic temperature of the convecting layer underneath, which is Tad = 260 K (McKinnon, 1999).

A range of base temperatures from 240–273 K are used in calculations of ds.

Figure 3 shows the influence of Tb on ds. It is seen that ds increases for increasing values of Tb, as the crystals grow with a larger rate in a warmer ice.

Fig. 3. Calculated crystal sizes for three different base temperatures.

There may be large spatial variations in the ice thickness due to spatial variations in tidal deformation, surface temperature variations with latitude, and uneven distribution of heat from the core. Convection and subsequent mixing of the sea water may, however, even out the latter effect, as well as result in an even distribution of salt concentration in the sea water.

As the melting-point temperature at the base of thick ice is lower than that of thin ice due to the increased pressure, this would result in slower grain growth in the thick ice. Therefore, competing processes are present in this case. For the thick ice, crystal growth would be slower. On the other hand, the larger ice thickness would give the crystals a longer time to grow.

Surface temperature

Values of the surface temperature Ts calculated from the black-body radiation equilibrium are found in the range 50– 110 K, with an area-averaged mean of 100 K (Reference Ojakangas and StevensonOjakangas and Stevenson, 1989). Measurements from the Galileo spacecraft are in agreement with this, as the measurements yield values for low-latitude diurnal brightness temperatures in the range 86–132K (Reference Spencer, Tamppari, Martin and TravisSpencer and others, 1999).

Surface temperatures in the range 50–130 K are used in calculations of grain growth.

The crystal diameter ds increases with increasing values of the surface temperature Ts as the crystals will grow at a larger rate in a warmer ice (Fig. 4).

Fig. 4. Calculated crystal sizes for three different surface temperatures.

Discussion

The broad range of the parameters used results in surface crystal sizes from dmin = 4cm to dmax = 80 m. It has been estimated from surface spectra that the crystal sizes are 50– 100 μm at the surface (Reference Shirley and CarlsonShirley and Carlson, 2000). However, sputtering redistributes material at a rate of 0.8 m Myr–1 (Reference Ip, Williams, Mcentire and MaukIp and others, 1998), and a thin upper layer of small-grained redistributed material may exist above possible large-grained old ice.

A change in crystal diameter of about 1m occurs for a variation in the surface temperature of a few tens of °C. The same change in crystal diameter occurs for a variation in the base temperature of only a few °C. The reason for this is that the change of shape of the temperature profile by changing the surface temperature occurs in the upper region of the ice shell, where crystal growth is not as effective as it is near the base.

Lake Vostok on the Antarctic ice sheet has often been used as an analogy to the physical settings on Europa, since it is a large lake under 4 km of ice (Reference JouzelJouzel and others, 1999). Above Lake Vostok, a deep ice core has been drilled to 120 m above the ice–lake intersection. The glacier ice above is estimated to be 420 000 years old, and the lower 90 m of ice consists of frozen lake water and is estimated to be roughly 1 Myr old (Reference PetitPetit and others, 1999). In this part of the ice core, ice crystals of sizes>0.2–1.0m have been found (Reference JouzelJouzel and others, 1999). The large ice crystals from Vostok show that large crystals are indeed a possibility when the crystals have a long time to grow.

The impurity content of the ice on Europa is a very uncertain parameter, which influences the crystal growth rate k. At the surface, the relative concentration of non-ice and ice-rich components has been measured (McCord and others, 1998). This provides information on what chemical species may be expected, but their quantities are hard to deduce. Sputtering processes are likely to alter the chemical composition at the surface, so the composition of the ice below the surface may differ from this.

For the process of crystal growth, the content of soluble impurities in the ice is important, since it may impede crystal growth (Reference PatersonPaterson, 1991). However, the salt content in the ice would be less than that of the sea water, since part of the salt is expelled during freezing. The amount of salt expelled is controlled by the freezing rate of the ice.

The stresses in the ice shell are not included in the calculations, where crystal sizes are calculated on the basis of normal grain growth. The effect of the stresses may be that a fabric develops which makes deformation easier in some directions than others. A fabric may also be developed during formation of the ice crystals, as seen in sea ice on Earth. Bending stresses in the ice shell may lead to polygonization. However, the presence of cracks in the ice shell must absorb part of the deformation, so strains are decreased compared to an unfractured shell.

In order to determine how the different mechanisms may influence crystal growth, a stress-dependent growth law is needed. The fabric would influence the deformation properties of the ice, so an anisotropic flow law would have to be used to calculate the tidal heating. In case the crystal sizes influence the flow properties of the ice as suggested by Reference Goldsby and KohlstedtGoldsby and Kohlstedt (1997), this would also have to be included in the calculations.

In the crystal growth model, the travel time of the crystals through the ice shell is equivalent to the age of the crystals when they reach the surface, and can be calculated to be tice = b/v, where b is the total ice thickness and v is mass-loss rate. For an ice thickness of 2000 m and a mass-loss rate of 0.2 m Myr–1, this yields tice = 2000 m/0.2 m Myr–1 = 10 Gyr. This age is more than the age of the solar system and Europa. However, the initial freezing of the ice where the ice shell was built up must have taken place at a faster rate than the present rate of freezing. This would cause the age–depth relation to be non-linear, and the upper crystals to be younger than the values calculated as in the previous example. The freezing of the ice from the water must always have taken place at the base of the ice, where it is warm. So all the crystals will have experienced a period of high temperature and fast growth rates.

On Earth it is known that the size and orientation of ice crystals on the surface of the ice sheets and at the base of sea ice influence the scattering of radar (Reference ZwallyZwally, 1977; Reference Tucker, Perovich, Gow, Weeks and CarseyTucker and others, 1992). This is caused by the dielectric contrast between ice grains and their surroundings (e.g. air or impurities at grain boundaries). Thus it cannot be ruled out that the ice crystal sizes affect radar scattering on Europa.

Conclusion

Model calculations predicts that there are large ice crystals in Europa’s ice shell, 4 cm–80 m across, with a value of 7 m for the preferred parameter values.

The ice crystal sizes are important for the deformation and fracture properties of the ice shell, and will therefore affect the tidal heat dissipation.

The calculated large sizes of ice crystals make it more plausible that the polygonal shapes of the ice blocks are caused by the lattice structure of large ice crystals. Theblocks of ice may have separated along weak zones such as crystal boundaries.

As radar backscatter may be influenced by the crystal sizes, it will be important to know these in order to design an orbiting radar sounder, which is a possible method for detecting an ocean under the ice shell on Europa.

Acknowledgement

Thisworkwassupportedbythe FREJA programme“Life of ice — ice in the planetary system” funded by the Danish Natural Science Research Council.

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Figure 0

Table 1. Values of the parameters used

Figure 1

Fig. 1. (a) Plot of crystal size d(z) vs depth zfor an ice shell with thickness b = 2000 m and a mass-loss rate v = 0.2 m Myr–1; inset is a close-up of the lowermost 20 m. (b) Plot of temperature T(z) vs depth z. The temperatures at the boundaries are Ts = 100K and Tb = 273K.

Figure 2

Fig. 2. The crystal size at the surface ds as a function of rate of mass loss v for three different ice thicknesses.

Figure 3

Fig. 3. Calculated crystal sizes for three different base temperatures.

Figure 4

Fig. 4. Calculated crystal sizes for three different surface temperatures.