2012
DOI: 10.1029/2011je003938
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Measurements of thermal properties of icy Mars regolith analogs

Abstract: [1] In a series of laboratory experiments, we measure thermal diffusivity, thermal conductivity, and heat capacity of icy regolith created by vapor deposition of water below its triple point and in a low pressure atmosphere. We find that an ice-regolith mixture prepared in this manner, which may be common on Mars, and potentially also present on the Moon, Mercury, comets and other bodies, has a thermal conductivity that increases approximately linearly with ice content. This trend differs substantially from th… Show more

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Cited by 51 publications
(22 citation statements)
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“…The uncertainty in this parameter therefore contributes to less than a factor of two uncertainty in our retreat results and could lower the amounts of retreat by up to 30% or increase them by up to 50%. We calculate thermal conductivity of our icy layers (pore‐filling ice and excess ice of the NPLD) assuming a linear volumetric mixture of ice and rock (Siegler et al, ). Table summarizes the thermophysical properties used in the model.…”
Section: Methodsmentioning
confidence: 99%
“…The uncertainty in this parameter therefore contributes to less than a factor of two uncertainty in our retreat results and could lower the amounts of retreat by up to 30% or increase them by up to 50%. We calculate thermal conductivity of our icy layers (pore‐filling ice and excess ice of the NPLD) assuming a linear volumetric mixture of ice and rock (Siegler et al, ). Table summarizes the thermophysical properties used in the model.…”
Section: Methodsmentioning
confidence: 99%
“…The difference in the effective conductivity between these two schemes is a factor of up to 4–5 for our highest porosities (50%) and yields only a 2–3% change in the final ice retreat and lag thickness results. The effective conductivity of a mixture ultimately depends on how the two end‐members mix with each other; alternative effective thermal conductivity mixing models include Series (Mellon, Jakosky, & Postawko, ), Parallel (Wechsler, Glaser, & Fountain, ), Geometric Mean (Johansen, ), and Volumetric (Siegler et al, ). Experiments on icy Martian regolith analogs show that the relationship will depend on the geometry of contacts between grains (Piqueux & Christensen, ; Siegler et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…The effective conductivity of a mixture ultimately depends on how the two end‐members mix with each other; alternative effective thermal conductivity mixing models include Series (Mellon, Jakosky, & Postawko, ), Parallel (Wechsler, Glaser, & Fountain, ), Geometric Mean (Johansen, ), and Volumetric (Siegler et al, ). Experiments on icy Martian regolith analogs show that the relationship will depend on the geometry of contacts between grains (Piqueux & Christensen, ; Siegler et al, ). k=2.1×102+()4.2×104ρ+()2.2×109ρ3 …”
Section: Methodsmentioning
confidence: 99%
“…This energy balance is calculated using the incident solar flux and the one-dimensional heat diffusion equation ( Delbo et al, 2015 ). The thermal properties of a regolith-ice mixture are a combination of its components ( Siegler et al, 2012 ), and are allowed to change with depth and time. The heat equation is solved with a Crank-Nicolson method with a nonlinear upper radiation boundary condition, as described in the notes distributed with the online version of the code ( Schörghofer, 2015 ).…”
Section: Thermal Modelmentioning
confidence: 99%