Evaluation of the University of Victoria Earth System Climate Model version 2.10 (UVic ESCM 2.10).

Mengis, Nadine , Keller, David P. , MacDougall, Andrew, Eby, Michael, Wright, Nesha, Meissner, Katrin J., Oschlies, Andreas , Schmittner, Andreas, Matthews, H. Damon and Zickfeld, Kirsten (2020) Evaluation of the University of Victoria Earth System Climate Model version 2.10 (UVic ESCM 2.10). Open Access Geoscientific Model Development, 13 . pp. 4183-4204. DOI 10.5194/gmd-13-4183-2020.

[thumbnail of gmd-13-4183-2020.pdf]
Preview
Text
gmd-13-4183-2020.pdf - Published Version
Available under License Creative Commons: Attribution 4.0.

Download (9MB) | Preview
[thumbnail of gmd-13-4183-2020-supplement.pdf]
Preview
Text
gmd-13-4183-2020-supplement.pdf - Supplemental Material
Available under License Creative Commons: Attribution 4.0.

Download (4MB) | Preview

Supplementary data:

Abstract

The University of Victoria Earth system climate model of intermediate complexity has been a useful tool in recent assessments of long-term climate changes including paleo-climate modelling. Since the last official release of the UVic ESCM 2.9, and the two official updates during the last decade, a lot of model development has taken place in multiple groups. The new version 2.10 of the University of Victoria Earth System Climate Model (UVic ESCM), to be used in the 6th phase of the coupled model intercomparison project (CMIP6), presented here combines and brings together multiple model developments and new components that have taken place since the last official release of the model. To set the foundation of its use, we here describe the UVic ESCM 2.10 and evaluate results from transient historical simulations against observational data. We find that the UVic ESCM 2.10 is capable of reproducing well changes in historical temperature and carbon fluxes, as well as the spatial distribution of many ocean tracers, including temperature, salinity, phosphate and nitrate. This is connected to a good representation of ocean physical properties. For the moment, there remain biases in ocean alkalinity and dissolved inorganic carbon, which will be addressed in the next updates to the model.

Document Type: Article
Research affiliation: OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-BM Biogeochemical Modeling
Main POF Topic: PT6: Marine Life
Refereed: Yes
Open Access Journal?: Yes
Publisher: Copernicus Publications (EGU)
Related URLs:
Projects: HI-CAM
Date Deposited: 11 Feb 2020 08:11
Last Modified: 07 Jun 2024 07:31
URI: https://oceanrep.geomar.de/id/eprint/48966

Actions (login required)

View Item View Item