Preindustrial control simulations with HadGEM3-GC3.1 for CMIP6

Menary, M. B., Kuhlbrodt, T. ORCID: https://orcid.org/0000-0003-2328-6729, Ridley, J., Andrews, M. B., Dimdore-Miles, O. B., Deshayes, J., Eade, R., Gray, L., Ineson, S., Mignot, J., Roberts, C. D., Robson, J. ORCID: https://orcid.org/0000-0002-3467-018X, Wood, R. A. and Xavier, P. (2018) Preindustrial control simulations with HadGEM3-GC3.1 for CMIP6. Journal of Advances in Modeling Earth Systems, 10 (12). pp. 3049-3075. ISSN 1942-2466 doi: 10.1029/2018MS001495

Abstract/Summary

Pre‐industrial control simulations with the HadGEM3‐GC3.1 climate model are presented at two resolutions. These are N216ORCA025, which has a horizontal resolution of 60km in the atmosphere and 0.25° in the ocean, and N96ORCA1, which has a horizontal resolution of 130km in the atmosphere and 1° in the ocean. The aim of this study is to document the climate variability in these simulations, make comparisons against present‐day observations (albeit under different forcing), and discuss differences arising due to resolution. In terms of interannual variability in the leading modes of climate variability the two resolutions behave generally very similarly. Notable differences are in the westward extent of El‐Niño and the pattern of Atlantic multidecadal variability, in which N216ORCA025 compares more favourably to observations, and in the Antarctic Circumpolar Current, which is far too weak in N216ORCA025. In the North Atlantic region, N216ORCA025 has a stronger and deeper AMOC, which compares well against observations, and reduced biases in temperature and salinity in the North Atlantic subpolar gyre (NA SPG). These simulations are being provided to the sixth Coupled Model Intercomparison Project (CMIP6) and provide a baseline against which further forced experiments may be assessed.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/80752
Item Type	Article
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > NCAS Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	American Geophysical Union
Download/View statistics	View download statistics for this item