Articles | Volume 12, issue 4
https://doi.org/10.5194/gmd-12-1477-2019
https://doi.org/10.5194/gmd-12-1477-2019
Model description paper
 | 
12 Apr 2019
Model description paper |  | 12 Apr 2019

Fldgen v1.0: an emulator with internal variability and space–time correlation for Earth system models

Robert Link, Abigail Snyder, Cary Lynch, Corinne Hartin, Ben Kravitz, and Ben Bond-Lamberty

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Robert Link on behalf of the Authors (12 Sep 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (27 Sep 2018) by Fiona O'Connor
RR by Anonymous Referee #2 (07 Oct 2018)
RR by Anonymous Referee #1 (12 Oct 2018)
RR by Anonymous Referee #3 (05 Feb 2019)
ED: Publish subject to technical corrections (28 Feb 2019) by Fiona O'Connor
ED: Publish subject to minor revisions (review by editor) (01 Mar 2019) by Fiona O'Connor
AR by Robert Link on behalf of the Authors (06 Mar 2019)  Author's response    Manuscript
ED: Publish as is (26 Mar 2019) by Fiona O'Connor
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Short summary
Earth system models (ESMs) produce the highest-quality future climate data available, but they are costly to run, so only a few runs from each model are publicly available. What is needed are emulators that tell us what would have happened, if we had been able to perform as many ESM runs as we might have liked. Much of the existing work on emulators has focused on deterministic projections of average values. Here we present a way to imbue emulators with the variability seen in ESM runs.