Articles | Volume 14, issue 12
Model description paper
20 Dec 2021
Model description paper |  | 20 Dec 2021

Model calibration using ESEm v1.1.0 – an open, scalable Earth system emulator

Duncan Watson-Parris, Andrew Williams, Lucia Deaconu, and Philip Stier


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Reviewer comment on gmd-2021-267', Anonymous Referee #1, 05 Oct 2021
  • RC2: 'Comment on gmd-2021-267', Victoria Volodina, 06 Oct 2021
  • AC1: 'Response to reviewer comments', Duncan Watson-Parris, 14 Nov 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Duncan Watson-Parris on behalf of the Authors (14 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (17 Nov 2021) by Steven Phipps
Short summary
The Earth System Emulator (ESEm) provides a fast and flexible framework for emulating a wide variety of Earth science datasets and tools for constraining (or tuning) models of any complexity. Three distinct use cases are presented that demonstrate the utility of ESEm and provide some insight into the use of machine learning for emulation in these different settings. The open-source Python package is freely available so that it might become a valuable tool for the community.