Articles | Volume 7, issue 1
https://doi.org/10.5194/esd-7-231-2016
https://doi.org/10.5194/esd-7-231-2016
Research article
 | Highlight paper
 | 
11 Mar 2016
Research article | Highlight paper |  | 11 Mar 2016

Imprints of climate forcings in global gridded temperature data

Jiří Mikšovský, Eva Holtanová, and Petr Pišoft

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 Jiri Miksovsky on behalf of the Authors (04 Feb 2016)  Author's response   Manuscript 
ED: Publish subject to minor revisions (review by Editor) (05 Feb 2016) by Ben Kravitz
AR by Jiri Miksovsky on behalf of the Authors (10 Feb 2016)  Author's response   Manuscript 
ED: Publish as is (13 Feb 2016) by Ben Kravitz
AR by Jiri Miksovsky on behalf of the Authors (17 Feb 2016)  Manuscript 
Download
Short summary
Using regression analysis, near-surface temperatures from several gridded data sets were investigated for the presence of components attributable to external climate forcings and to major internal climate variability modes, over the 1901–2010 period. The spatial patterns of local temperature response and their combination in globally averaged temperature were shown and discussed, with special focus on highlighting the inter-dataset contrasts.
Altmetrics
Final-revised paper
Preprint