GLOBAL MAGNESIUM MAPPING ON MARS: INSIGHTS INTO METHODOLOGY-DRIVEN VARIABILITY
In this study, we compare two key methods to estimate the global variability in Mg mass fraction (wt.%), and stoichiometric MgO wt.%. Our regression-based approach uses Mg/Si vs Ca/Si mass ratios from meteorites to determine a linear relationship. As Ca and Si maps are available, MgO wt.% can then be derived from the regression coefficients. Meanwhile, the mass balance approach yields MgO after all other elements are determined from a combination of chemical maps from GRS and meteoritic ratios for several unreported elements: P, Mn, Na and Ti.
While both considered methods broadly return MgO wt.% values within the expected range for mafic chemistry, divergences yield insight into regional-scale geologic processes. In SW Tharsis for example, we observe a divergence that may favor the presence of Mg sulfates derived from acid-fog, ground ice, and airfall dust alteration as opposed to primary mineralogy. We conclude that while the regression-based approach yields values broadly consistent with primary mineralogy, the mass-balance approach can better characterize MgO variability on Mars. A necessary caveat with the mass-balance approach is that some unusually enriched or depleted regions on Mars violate the model’s primary mineralogic basis; in these cases, a regression-based approach can at least bound the uncertainties. Therefore, a combined application of the two approaches is needed to computationally map Mg on Mars and interpret geologic processes.