Articles | Volume 14, issue 7
https://doi.org/10.5194/gmd-14-4307-2021
https://doi.org/10.5194/gmd-14-4307-2021
Methods for assessment of models
 | 
08 Jul 2021
Methods for assessment of models |  | 08 Jul 2021

Multi-variate factorisation of numerical simulations

Daniel J. Lunt, Deepak Chandan, Alan M. Haywood, George M. Lunt, Jonathan C. Rougier, Ulrich Salzmann, Gavin A. Schmidt, and Paul J. Valdes

Related authors

DeepMIP-Eocene-p2: Experimental design for Phase 2 of the early Eocene component of the the CMIP7/PMIP7 Deep-time Model Intercomparison Project (DeepMIP-Eocene)
Daniel J. Lunt, Nicky M. Wright, Bram Vaes, Ulrich Salzmann, James W. B. Rae, Thomas Hickler, David K. Hutchinson, Julia Brugger, Jiang Zhu, Sebastian Steinig, A. Nele Meckler, Gordon N. Inglis, David Evans, Agatha M. de Boer, Bette L. Otto-Bliesner, Natalie Burls, Yurui Zhang, Appy Sluijs, Tammo Reichgelt, Igor Niezgodzki, Katrin Meissner, Jean-Baptiste Ladant, Fanni D. Kelemen, Matthew Huber, David Greenwood, Mattias Green, Flavia Boscolo-Galazzo, Mauel Tobias Blau, and Michiel Baatsen
EGUsphere, https://doi.org/10.5194/egusphere-2025-6135,https://doi.org/10.5194/egusphere-2025-6135, 2026
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Global climate system response to SOFIA Antarctic meltwater in HadCM3-M2.1
Amar Mistry, Dan Lunt, and Xin Ren
The Cryosphere, 19, 6989–7012, https://doi.org/10.5194/tc-19-6989-2025,https://doi.org/10.5194/tc-19-6989-2025, 2025
Short summary
Modelling the impact of palaeogeographical changes on weathering and CO2 during the Cretaceous–Eocene period
Nick R. Hayes, Daniel J. Lunt, Yves Goddéris, Richard D. Pancost, and Heather Buss
Clim. Past, 21, 2601–2618, https://doi.org/10.5194/cp-21-2601-2025,https://doi.org/10.5194/cp-21-2601-2025, 2025
Short summary
Assessing future ice-sheet variability for long-term safety of deep geological repositories
Johan Liakka, Natalie S. Lord, Alan Kennedy-Asser, Daniel J. Lunt, Charles J. R. Williams, and Jens-Ove Näslund
Adv. Geosci., 65, 71–81, https://doi.org/10.5194/adgeo-65-71-2024,https://doi.org/10.5194/adgeo-65-71-2024, 2024
Short summary
Diagnosing the controls on desert dust emissions through the Phanerozoic
Yixuan Xie, Daniel J. Lunt, and Paul J. Valdes
Clim. Past, 20, 2561–2585, https://doi.org/10.5194/cp-20-2561-2024,https://doi.org/10.5194/cp-20-2561-2024, 2024
Short summary

Cited articles

Alpert, P. and Sholokhman, T. (Eds.): Factor Separation in the Atmosphere: Applications and Future Prospects, Cambridge University Press, https://doi.org/10.1017/CBO9780511921414, 2011. a
Box, G. E. P., Hunter, J. S., and Hunter, W. G.: Statistics for Experimenters, 2nd Edn., John Wiley and Sons, 2005. a
Burke, K. D., Williams, J. W., Chandler, M. A., Haywood, A. M., Lunt, D. J., and Otto-Bliesner, B. L.: Pliocene and Eocene provide best analogs for near-future climates, P. Natl. Acad. Sci. USA, 115, 13288–13293, https://doi.org/10.1073/pnas.1809600115, 2018. a
Chandan, D.: Pliocene surface temperature data for Multi-variate factorisation methods, Scholars Portal Dataverse, V1, https://doi.org/10.5683/SP2/QGK5B0, 2020. a
Chandan, D. and Peltier, W. R.: Regional and global climate for the mid-Pliocene using the University of Toronto version of CCSM4 and PlioMIP2 boundary conditions, Clim. Past, 13, 919–942, https://doi.org/10.5194/cp-13-919-2017, 2017. a
Download
Short summary
Often in science we carry out experiments with computers in which several factors are explored, for example, in the field of climate science, how the factors of greenhouse gases, ice, and vegetation affect temperature. We can explore the relative importance of these factors by swapping in and out different values of these factors, and can also carry out experiments with many different combinations of these factors. This paper discusses how best to analyse the results from such experiments.
Share