Articles | Volume 6, issue 1
Geosci. Instrum. Method. Data Syst., 6, 217–229, 2017
Geosci. Instrum. Method. Data Syst., 6, 217–229, 2017

Research article 22 Jun 2017

Research article | 22 Jun 2017

Wind reconstruction algorithm for Viking Lander 1

Tuomas Kynkäänniemi1, Osku Kemppinen2,a, Ari-Matti Harri2, and Walter Schmidt2 Tuomas Kynkäänniemi et al.
  • 1School of Science, Aalto University, Espoo, Finland
  • 2Earth Observation, Finnish Meteorological Institute, Helsinki, Finland
  • acurrently at: Department of Physics, Kansas State University, Manhattan, Kansas, USA

Abstract. The wind measurement sensors of Viking Lander 1 (VL1) were only fully operational for the first 45 sols of the mission. We have developed an algorithm for reconstructing the wind measurement data after the wind measurement sensor failures. The algorithm for wind reconstruction enables the processing of wind data during the complete VL1 mission. The heater element of the quadrant sensor, which provided auxiliary measurement for wind direction, failed during the 45th sol of the VL1 mission. Additionally, one of the wind sensors of VL1 broke down during sol 378. Regardless of the failures, it was still possible to reconstruct the wind measurement data, because the failed components of the sensors did not prevent the determination of the wind direction and speed, as some of the components of the wind measurement setup remained intact for the complete mission.

This article concentrates on presenting the wind reconstruction algorithm and methods for validating the operation of the algorithm. The algorithm enables the reconstruction of wind measurements for the complete VL1 mission. The amount of available sols is extended from 350 to 2245 sols.

Short summary
The new wind reconstruction algorithm developed in this article extends the amount of available sols from the Viking Lander 1 (VL1) mission from 350 to 2245. The reconstruction of wind measurement data enables the study of both short-term phenomena, such as daily variations in wind conditions or dust devils, and long-term phenomena, such as the seasonal variations in Martian tides.