Articles | Volume 19, issue 18
https://doi.org/10.5194/acp-19-12007-2019
https://doi.org/10.5194/acp-19-12007-2019
Research article
 | 
26 Sep 2019
Research article |  | 26 Sep 2019

Diagnosing spatial error structures in CO2 mole fractions and XCO2 column mole fractions from atmospheric transport

Thomas Lauvaux, Liza I. Díaz-Isaac, Marc Bocquet, and Nicolas Bousserez

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Thomas Lauvaux on behalf of the Authors (29 Aug 2019)  Author's response   Manuscript 
ED: Publish subject to technical corrections (30 Aug 2019) by Christoph Gerbig
AR by Thomas Lauvaux on behalf of the Authors (02 Sep 2019)  Author's response   Manuscript 
Download
Short summary
A small-size ensemble of mesoscale simulations has been filtered to characterize the spatial structures of transport errors in atmospheric CO2 mixing ratios. The extracted error structures in in situ and column CO2 show similar length scales compared to other meteorological variables, including seasonality, which could be used as proxies in regional inversion systems.
Altmetrics
Final-revised paper
Preprint