Articles | Volume 10, issue 5
https://doi.org/10.5194/gmd-10-1889-2017
https://doi.org/10.5194/gmd-10-1889-2017
Methods for assessment of models
 | 
12 May 2017
Methods for assessment of models |  | 12 May 2017

Exploring precipitation pattern scaling methodologies and robustness among CMIP5 models

Ben Kravitz, Cary Lynch, Corinne Hartin, and Ben Bond-Lamberty

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 Ben Kravitz on behalf of the Authors (16 Feb 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (21 Feb 2017) by Olivier Marti
RR by Anonymous Referee #2 (04 Mar 2017)
RR by Anonymous Referee #1 (08 Mar 2017)
ED: Publish subject to minor revisions (Editor review) (29 Mar 2017) by Olivier Marti
AR by Ben Kravitz on behalf of the Authors (29 Mar 2017)  Author's response    Manuscript
ED: Publish as is (19 Apr 2017) by Olivier Marti
Download
Short summary
Pattern scaling is a way of approximating regional changes without needing to run a full, complex global climate model. We compare two methods of pattern scaling for precipitation and evaluate which methods is better in particular circumstances. We also decompose precipitation into a CO2 portion and a non-CO2 portion. The methodologies discussed in this paper can help provide precipitation fields for other models for a wide variety of scenarios of future climate change.