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Subsurface Water Ice Mapping on Mars: A Probabilistic Approach

  • Authors: Samuel W. Courville, Nathaniel E. Putzig, Gareth A. Morgan, Asmin Pathare, Colin M. Dundas, David M. H. Baker, Ali M. Bramson, Rachael H. Hoover, Stefano Nerozzi, Matthew R. Perry, Megan B. Russell, Hanna G. Sizemore

Samuel W. Courville et al 2026 The Planetary Science Journal 7 .

  • Provider: AAS Journals

Caption: Figure 11.

These panels represent PDFs of the ice content models that can satisfy four values of apparent thermal inertia in the subsurface from thermal imaging: (a) ATI = 56 tiu, (b) ATI = 223 tiu, (c) ATI = 889 tiu, and (d) ATI = 2506 tiu, which are the model values of dust, sand, duricrust, and rock (N. E. Putzig & M. T. Mellon 2007). In the model that we use, any amount of pore-filling ice greatly increases the ATI. So low ATI measurements restrict models to the air-rock axis. These plots include no measurement uncertainty; the spreads in the distributions come from uncertainty in rock properties as we describe in the text.

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