Algorithm Stability and the Long-Term Geospace Data Record From TIMED/SABER

Martin G. Mlynczak, B. Thomas Marshall, Rolando R. Garcia, Linda Hunt, Jia Yue, V. Lynn Harvey, Manuel Lopez-Puertas, Chris Mertens, James Russell

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

The ability of satellite instruments to accurately observe long-term changes in atmospheric temperature depends on many factors including the absolute accuracy of the measurement, the stability of the calibration of the instrument, the stability of the satellite orbit, and the stability of the numerical algorithm that produces the temperature data. We present an example of algorithm instability recently discovered in the temperature data set from the SABER instrument on the NASA TIMED satellite. The instability resulted in derived temperatures that were substantially colder than anticipated from mid-December 2019 to mid-2022. This algorithm-induced change in temperature over 1 to 2 years corresponded to the expected temperature change over several decades from increasing anthropogenic CO2. This paper highlights the importance of algorithm stability in developing Geospace Data Records (GDRs) for Earth’s mesosphere and lower thermosphere. A corrected version (Version 2.08) of the temperatures from SABER is described.

Original languageEnglish
Article numbere2022GL102398
JournalGeophysical Research Letters
Volume50
Issue number5
DOIs
StatePublished - Mar 16 2023

Keywords

  • SABER instrument
  • carbon dioxide
  • geospace data record
  • long term change
  • solar cycle
  • temperature trends

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