Articles | Volume 15, issue 20
Atmos. Chem. Phys., 15, 11571–11592, 2015
https://doi.org/10.5194/acp-15-11571-2015
Atmos. Chem. Phys., 15, 11571–11592, 2015
https://doi.org/10.5194/acp-15-11571-2015

Research article 21 Oct 2015

Research article | 21 Oct 2015

Granger causality from changes in level of atmospheric CO2 to global surface temperature and the El Niño–Southern Oscillation, and a candidate mechanism in global photosynthesis

L. M. W. Leggett and D. A. Ball

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 Mark Leggett on behalf of the Authors (08 Apr 2015)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (29 Apr 2015) by Rob MacKenzie
RR by Anonymous Referee #1 (07 May 2015)
ED: Reconsider after major revisions (07 May 2015) by Rob MacKenzie
ED: Referee Nomination & Report Request started (16 Jun 2015) by Rob MacKenzie
RR by Anonymous Referee #1 (16 Jul 2015)
RR by Anonymous Referee #3 (28 Aug 2015)
AR by Anna Wenzel on behalf of the Authors (18 Jun 2015)  Author's response    Manuscript
ED: Reconsider after minor revisions (Editor review) (31 Aug 2015) by Rob MacKenzie
AR by Mark Leggett on behalf of the Authors (13 Sep 2015)  Author's response    Manuscript
ED: Publish subject to technical corrections (30 Sep 2015) by Rob MacKenzie
Download
Short summary
The previously expected linear relationship between atmospheric CO2 and climate variables including temperature is showing an increasing mismatch. This paper nonetheless provides fresh and possibly definitive support for a major relationship between CO2 and climate. Granger causality analysis provides evidence that change in level not level of CO2 primarily influences both global temperature and the El Niño–Southern Oscillation. The results may contribute to the prediction of future climate.
Altmetrics
Final-revised paper
Preprint