Articles | Volume 14, issue 8
https://doi.org/10.5194/gmd-14-5107-2021
https://doi.org/10.5194/gmd-14-5107-2021
Development and technical paper
 | 
17 Aug 2021
Development and technical paper |  | 17 Aug 2021

An iterative process for efficient optimisation of parameters in geoscientific models: a demonstration using the Parallel Ice Sheet Model (PISM) version 0.7.3

Steven J. Phipps, Jason L. Roberts, and Matt A. King

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 Steven Phipps on behalf of the Authors (16 Apr 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (10 May 2021) by Heiko Goelzer
AR by Steven Phipps on behalf of the Authors (11 May 2021)  Manuscript 
Download
Short summary
Simplified schemes, known as parameterisations, are sometimes used to describe physical processes within numerical models. However, the values of the parameters are uncertain. This introduces uncertainty into the model outputs. We develop a simple approach to identify plausible ranges for model parameters. Using a model of the Antarctic Ice Sheet, we find that the value of one parameter can depend on the values of others. We conclude that a single optimal set of parameter values does not exist.