Abstract

This paper analyzes the behavior of a miniature 3D wind sensor designed for Mars atmosphere. The sensor is a spherical structure of 10 mm diameter divided in four sectors. By setting all the sectors to constant temperature, above that of the air, the 3D wind velocity vector can be measured. Two sets of experiments have been performed. First, an experimental campaign made under typical Mars conditions at the Aarhus Wind Tunnel Simulator is presented. The results demonstrate that both wind speed and angle can be efficiently measured, using a simple inverse algorithm. The effect of sudden wind changes is also analyzed and fast response times in the range of 0.7 s are obtained. The second set of experiments is focused on analyzing the performance of the sensor under extreme Martian wind conditions, reaching and going beyond the Dust Devil scale. To this purpose, both high-fidelity numerical simulations of fluid dynamics and heat transfer and experiments with the sensor have been performed. The results of the experiments, made for winds in the Reynolds number 1000–2000 range, which represent 65–130 m/s of wind speed under typical Mars conditions, further confirm the simulation predictions and show that it will be possible to successfully measure wind speed and direction even under these extreme regimes.

Highlights

  • The characterization of surface weather in Mars has been and continues to be one of the main science objectives in many Mars missions

  • The objective of the first experiment is to verify that the spherical sensor allows measuring wind correspond to laminar regimes with Reynolds numbers below 225

  • The objective of the first experiment is to verify that the spherical sensor allows measuring wind speed in Mars-like conditions

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Summary

Introduction

The characterization of surface weather in Mars has been and continues to be one of the main science objectives in many Mars missions. The main reason for obtaining high quality surface weather measurements is to provide “vital ground-truth validation for complementary measurements retrieved from orbit and essential data for designing and validating climate and weather model parameterizations”. It is pointed out in the same report that obtaining multiple simultaneous datasets collected from multiple locations would contribute to produce major advances in the understanding. Contamination from the spacecraft, or the supporting structure of the sensor itself, should be carefully minimized These two objectives are a clear motivation for the miniaturization of wind sensors

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