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

Authors :
Martin G. Mlynczak
B. Thomas Marshall
Rolando R. Garcia
Linda Hunt
Jia Yue
V. Lynn Harvey
Manuel Lopez‐Puertas
Chris Mertens
James Russell III
Source :
Geophysical Research Letters, Vol 50, Iss 5, Pp n/a-n/a (2023)
Publication Year :
2023
Publisher :
Wiley, 2023.

Abstract

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.

Details

Language :
English
ISSN :
19448007 and 00948276
Volume :
50
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Geophysical Research Letters
Publication Type :
Academic Journal
Accession number :
edsdoj.b841fa640c39436797d04a0b593936d5
Document Type :
article
Full Text :
https://doi.org/10.1029/2022GL102398