English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  On Long‐Term SABER CO2 Trends and Effects Due to Nonuniform Space and Time Sampling

Rezac, L., Yue, J., Yongxiao, J., Russell III, J. M., Garcia, R., López‐Puertas, M., et al. (2018). On Long‐Term SABER CO2 Trends and Effects Due to Nonuniform Space and Time Sampling. Journal of Geophysical Research: Space Physics, 123(9), 7958-7967. doi:10.1029/2018JA025892.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0003-ADF3-8 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-C5CC-9
Genre: Journal Article
Other : On Long-Term SABER CO2 Trends and Effects Due to Nonuniform Space and Time Sampling

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Rezac, Ladislav1, Author              
Yue, Jia, Author
Yongxiao, Jian, Author
Russell III, James M., Author
Garcia, Rolando, Author
López‐Puertas, Manuel, Author
Mlynczak, Martin G., Author
Affiliations:
1Department Planets and Comets, Max Planck Institute for Solar System Research, Max Planck Society, ou_1832288              

Content

show
hide
Free keywords: -
 Abstract: The Sounding of the Atmosphere using Broadband Emission Radiometry (SABER) instrument on board the TIMED satellite has been continuously operating for more than 16 years, since 2002, monitoring the CO2 concentration on nearly a global scale in the middle and upper atmosphere (from 65 km up to 110 km). A recent reanalysis (Qian et al., 2017, https://doi.org/10.1002/2016JA023825) concluded that different deseasonalizing methodologies may have a strong impact on long‐term trend analysis, ultimately yielding different altitude profiles of the global mean CO2 trend. In this work, we aim to understand how the nonuniform spatial and temporal sampling inherent in the SABER CO2 data set affects the determination of the long‐term trends. In addition, our goal is to disentangle reported differences in SABER CO2 trends due to different time averaging windows and methodologies used for trend estimation. The Whole Atmosphere Community Climate Model is used for synthetic studies of the time series. We demonstrate that, due to the time varying data gaps and nonuniform sampling of local times, different time binning of the SABER CO2 data may indeed bias the long‐term trend estimation. We show and discuss how the 60‐day averaging reduces the bias in relative trends. We also conclude that different deseasonalizing methodologies (averaged over the same temporal bins) yield negligible differences on the trend determination. Taking this into account the global mean CO2 relative trend does not deviate statistically from the tropospheric value below 1 × 10−3 mb (90 km). Above about 90 km, there is a positive slope in the global CO2 trend profile, but with substantially reduced magnitude for 60‐day binned data.

Details

show
hide
Language(s): eng - English
 Dates: 2018
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1029/2018JA025892
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Journal of Geophysical Research: Space Physics
  Other : JGR-A
  Abbreviation : J. Geophys. Res. - A
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Washington, D.C. : American Geophysical Union
Pages: - Volume / Issue: 123 (9) Sequence Number: - Start / End Page: 7958 - 7967 Identifier: ISSN: 0148-0227
CoNE: https://pure.mpg.de/cone/journals/resource/991042728714264