1Centre for Ecology and Hydrology, Wallingford, OXON, OX10 8BB, UK
2Met Office Hadley Centre, Fitz Roy Road, Exeter, Devon, EX1 3PB, UK
3Joint Centre for Hydro-Meteorological Research, Met Office Hadley Centre, Wallingford, OXON, OX10 8BB, UK
4Reading Unit, Met Office Hadley Centre, Department of Meteorology, University of Reading, Earley Gate, P.O. Box 243, Reading, RG6 6BB, UK
5Department of Animal and Plant Sciences, University of Sheffield, Western Bank, Sheffield, S10 2TN, UK
6Environmental Change Institute, School of Geography and the Environment, Oxford, OX1 3QY, UK
7National Centre for Atmospheric Sciences, Department of Meteorology, University of Reading, Earley Gate, P.O. Box 243, Reading, RG6 6BB, UK
*now at: School of Geography, University of Leeds, Leeds, LS2 9JT, UK
**now at: Earth and Environmental Sciences, Los Alamos National Laboratory, Los Alamos, New Mexico, NM 87545, USA
Received: 06 Jul 2010 – Discussion started: 04 Aug 2010
Abstract. We present a computationally efficient modelling system, IMOGEN, designed to undertake global and regional assessment of climate change impacts on the physical and biogeochemical behaviour of the land surface. A pattern-scaling approach to climate change drives a gridded land surface and vegetation model MOSES/TRIFFID. The structure allows extrapolation of General Circulation Model (GCM) simulations to different future pathways of greenhouse gases, including rapid first-order assessments of how the land surface and associated biogeochemical cycles might change. Evaluation of how new terrestrial process understanding influences such predictions can also be made with relative ease.
Revised: 05 Nov 2010 – Accepted: 09 Nov 2010 – Published: 29 Nov 2010
Huntingford, C., Booth, B. B. B., Sitch, S., Gedney, N., Lowe, J. A., Liddicoat, S. K., Mercado, L. M., Best, M. J., Weedon, G. P., Fisher, R. A., Lomas, M. R., Good, P., Zelazowski, P., Everitt, A. C., Spessa, A. C., and Jones, C. D.: IMOGEN: an intermediate complexity model to evaluate terrestrial impacts of a changing climate, Geosci. Model Dev., 3, 679-687, doi:10.5194/gmd-3-679-2010, 2010.