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

DOI: 
10.1029/2022GL102398
Publication date: 
13/03/2023
Main author: 
Mlynczak, Martin G.
IAA authors: 
Lopez-Puertas, Manuel
Authors: 
Mlynczak, Martin G.;Marshall, B. Thomas;Garcia, Rolando R.;Hunt, Linda;Yue, Jia;Harvey, V. Lynn;Lopez-Puertas, Manuel;Mertens, Chris;Russell, James
Journal: 
Geophysical Research Letters
Publication type: 
Article
Volume: 
50
Pages: 
e2022GL102398
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 CO<SUB>2</SUB>. 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.
Database: 
ADS
URL: 
https://ui.adsabs.harvard.edu/#abs/2023GeoRL..5002398M/abstract
ADS Bibcode: 
2023GeoRL..5002398M
Keywords: 
geospace data record;carbon dioxide;SABER instrument;temperature trends;solar cycle;long term change;Earth Science