English

Detection and Quantification of Volatiles at Mars using a multispectral LIDAR

Earth and Planetary Astrophysics 2016-12-22 v1

Abstract

We present a concept for using a polarization sensitive multispectral lidar to map the seasonal distribution and exchange of volatiles among the reservoirs of the Martian surface and atmosphere. The LIDAR instrument will be a multi-wavelength, altitude-resolved, active near-infrared (NIR, with 10 bands around 1.6 microns) instrument to measure the reflected intensity and polarization of backscattered radiation from planetary surfaces and atmospheres. The proposed instrument would be ideally suited for a mission to Mars to comprehensively investigate the nature and seasonal distributions of volatiles and aerosols. The investigation would include the abundance of atmospheric dust and condensed volatiles, surface and cloud/aerosol grain sizes and shapes, ice and dust particle microphysics and also variations in atmospheric chemistry during multiple overflight local times throughout polar night and day. Such an instrument would be ideal for mapping and detection of recently detected CO2 frost phenomena and H2O and CO2 precipitation events in the polar regions of Mars. Herein we discuss the applicability of this instrument to detect and map sublimation/deposition 'mode flips' recently discovered by Brown et al. (2016) using the CRISM passive infrared sensor on Mars Reconnaissance Orbiter.

Keywords

Cite

@article{arxiv.1612.07147,
  title  = {Detection and Quantification of Volatiles at Mars using a multispectral LIDAR},
  author = {Adrian J. Brown and Timothy Michaels and Lori Fenton and Paul O. Hayne and Sylvain Piqueux and Timothy N. Titus and Michael J. Wolff and R. Todd Clancy and Gorden Videen and Wenbo Sun and Robert Haberle and Anthony Colaprete and Mark I. Richardson and Shane Byrne and Richard Dissly and Steve Beck and Chris Grund},
  journal= {arXiv preprint arXiv:1612.07147},
  year   = {2016}
}

Comments

9 pages, 3 figures

R2 v1 2026-06-22T17:30:52.549Z