Reply to: Explaining bright radar reflections below the south pole of Mars without liquid water

In their Matter Arising Lalich et al.1 simulate MARSIS echoes at the base of the South Polar Layered Deposits (SPLD) assuming three different layering scenarios (Fig. 1 in ref.1): (a) dusty water ice overlaying bedrock; (b) one CO2 ice layer between dusty water ice and bedrock; and, (c) two basal CO2 ice layers interbedded with one layer of dusty water ice. A surficial layer of CO2 ice ranging from 0 m (no layer) to 2 m in thickness is also considered. The first layer in each simulation is a semi-infinite half space assigned the permittivity of free space, and the bedrock is a semi-infinite half space with pure basaltic rock permittivity. These authors argue that constructive interference generated by some layered configurations produce waveforms (Fig. 2 in ref.1) with local maxima corresponding to the bright basal reflections observed by MARSIS at Ultimi Scopuli 2,3 . They conclude that this explanation is more plausible than liquid brines being the source of the bright reflections, as posited instead by Orosei et al.2 and Lauro et al.3 . In an earlier paper, however, Orosei et al.4 explored the same model and mathematics covering the entire range of possible parameters for two and three basal CO2 ice layers. Through the quantitative analysis of 3.45 x 108 simulation results, these authors demonstrated that local maxima at one of the MARSIS operating frequencies are not matched by local maxima at the other operating frequencies: that is, a layer stack producing constructive interference at one frequency, does not produce the same effect at the other frequencies, which is inconsistent with MARSIS real data. Thus, constructive interference by basal layers is not a viable mechanism to explain the bright basal reflections at Ultimi Scopuli. Because most of the points in Lalich et al.1 are superseded by Orosei et al.'s4 work, we refer interested readers to that earlier paper for a full discussion of the models and results. Here, we focus on three critical aspects: electromagnetic model; dielectric values used in the simulations; and materials and geology.