Emulation of long-term changes in global climate: Application to the late Pliocene and future
AuthorsLord, Natalie S.
Lunt, Dan J.
Thorne, Mike C.
O'Brien, Charlotte L.
KAUST DepartmentApplied Mathematics and Computational Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Permanent link to this recordhttp://hdl.handle.net/10754/626231
MetadataShow full item record
AbstractMulti-millennial transient simulations of climate changes have a range of important applications, such as for investigating key geologic events and transitions for which high-resolution palaeoenvironmental proxy data are available, or for projecting the long-term impacts of future climate evolution on the performance of geological repositories for the disposal of radioactive wastes. However, due to the high computational requirements of current fully coupled general circulation models (GCMs), long-term simulations can generally only be performed with less complex models and/or at lower spatial resolution. In this study, we present novel long-term
CitationLord NS, Crucifix M, Lunt DJ, Thorne MC, Bounceur N, et al. (2017) Emulation of long-term changes in global climate: Application to the late Pliocene and future. Climate of the Past Discussions: 1–47. Available: http://dx.doi.org/10.5194/cp-2017-57.
SponsorsThis research is funded by RWM Limited via a framework contract with Amec Foster Wheeler, who are being supported by Quintessa. It contributes to the MODARIA international research programme, sponsored and coordinated by the International Atomic Energy Agency (IAEA). The ensembles of AOGCM simulations were run using the computational facilities of the Advanced Computing Research Centre, University of Bristol – http://www.bris.ac.uk/acrc/. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the US Government.
JournalClimate of the Past Discussions
Except where otherwise noted, this item's license is described as This work is distributed under the Creative Commons Attribution 3.0 License.