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Joshi, Manoj 
ORCID: https://orcid.org/0000-0002-2948-2811, Stringer, Marc, van der Wiel, Karin, O'Callaghan, Amee ORCID: https://orcid.org/0000-0001-9111-6081 and Fueglistaler, Stephan
(2015)
IGCM4: A fast, parallel and flexible intermediate climate model.
Geoscientific Model Development, 8 (4).
pp. 1157-1167.
ISSN 1991-9603
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Abstract
The IGCM4 (Intermediate Global Circulation Model version 4) is a global spectral primitive equation climate model whose predecessors have extensively been used in areas such as climate research, process modelling and atmospheric dynamics. The IGCM4’s niche and utility lies in its speed and flexibility allied with the complexity of a primitive equation climate model. Moist processes such as clouds, evaporation, atmospheric radiation and soil moisture are simulated in the model, though in a simplified manner compared to state-of-the-art global circulation models (GCMs). IGCM4 is a parallelised model, enabling both very long integrations to be conducted and the effects of higher resolutions to be explored. It has also undergone changes such as alterations to the cloud and surface processes and the addition of gravity wave drag. These changes have resulted in a significant improvement to the IGCM’s representation of the mean climate as well as its representation of stratospheric processes such as sudden stratospheric warmings. The IGCM4’s physical changes and climatology are described in this paper.
| Item Type: | Article |
|---|---|
| Additional Information: | © Author(s) 2015. This work is distributed under the Creative Commons Attribution 3.0 License. Code availability: The code is available to scientific researchers on request by emailing m.joshi@uea.ac.uk in the first instance. Websites detailing different IGCM configurations are given in Sect. 2.2. IGCM4 requires as a prerequisite a Fortran compiler, the nupdate code management utility and MPI routines for parallel integrations (although IGCM4 is designed to run on one processor). Funding information: A. O’Callaghan acknowledges the support of the UK Natural Environment Research Council (NERC). Acknowledgements. Model simulations were carried out on the High Performance Computing Cluster supported by the Research and Specialist Computing Support service at the University of East Anglia. OLR and CMAP precipitation data were provided by the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, from their website at http://www.esrl.noaa.gov/psd/. |
| Uncontrolled Keywords: | sdg 13 - climate action ,/dk/atira/pure/sustainabledevelopmentgoals/climate_action |
| Faculty \ School: | Faculty of Science > School of Environmental Sciences University of East Anglia Research Groups/Centres > Theme - ClimateUEA Faculty of Science |
| UEA Research Groups: | Faculty of Science > Research Groups > Climatic Research Unit Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences University of East Anglia Schools > Faculty of Science > Tyndall Centre for Climate Change Research Faculty of Science > Research Centres > Tyndall Centre for Climate Change Research |
| Related URLs: | |
| Depositing User: | Pure Connector |
| Date Deposited: | 29 Apr 2015 12:24 |
| Last Modified: | 07 Oct 2024 14:30 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/53256 |
| DOI: | 10.5194/gmd-8-1157-2015 |
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