Articles | Volume 19, issue 1
https://doi.org/10.5194/gmd-19-345-2026
https://doi.org/10.5194/gmd-19-345-2026
Methods for assessment of models
 | 
13 Jan 2026
Methods for assessment of models |  | 13 Jan 2026

A new efficiency metric for the spatial evaluation and inter-comparison of climate and geoscientific model output

Andreas Karpasitis, Panos Hadjinicolaou, and George Zittis

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Tropical circulation and associated precipitation responses under idealized global warming simulations
Andreas Karpasitis, Manabu Abe, Isaline Bossert, Friederike Fröb, Thomas Frölicher, Panos Hadjinicolaou, Colin Jones, Roland Séférian, Tomas Torsvik, Jeremy Walton, Klaus Wyser, Tokuta Yokohata, and George Zittis
EGUsphere, https://doi.org/10.5194/egusphere-2026-5285,https://doi.org/10.5194/egusphere-2026-5285, 2026
This preprint is open for discussion and under review for Weather and Climate Dynamics (WCD).
Short summary

Cited articles

Ahmed, K., Sachindra, D. A., Shahid, S., Demirel, M. C., and Chung, E.-S.: Selection of multi-model ensemble of general circulation models for the simulation of precipitation and maximum and minimum temperature based on spatial assessment metrics, Hydrol. Earth Syst. Sci., 23, 4803–4824, https://doi.org/10.5194/hess-23-4803-2019, 2019. a
Baghel, T., Babel, M. S., Shrestha, S., Salin, K. R., Virdis, S. G., and Shinde, V. R.: A generalized methodology for ranking climate models based on climate indices for sector-specific studies: An application to the Mekong sub-basin, Science of The Total Environment, 829, https://doi.org/10.1016/j.scitotenv.2022.154551, 2022. a
Bentsen, M., Oliviè, D. J. L., Seland, y., Toniazzo, T., Gjermundsen, A., Graff, L. S., Debernard, J. B., Gupta, A. K., He, Y., Kirkevåg, A., Schwinger, J., Tjiputra, J., Aas, K. S., Bethke, I., Fan, Y., Griesfeller, J., Grini, A., Guo, C., Ilicak, M., Karset, I. H. H., Landgren, O. A., Liakka, J., Moseid, K. O., Nummelin, A., Spensberger, C., Tang, H., Zhang, Z., Heinze, C., Iversen, T., and Schulz, M.: IPCC DDC: NCC NorESM2-MM model output prepared for CMIP6 CMIP historical, World Data Center for Climate (WDCC) at DKRZ, https://doi.org/10.26050/WDCC/AR6.C6CMNCCN2hi, 2023. a
Boucher, O., Denvil, S., Levavasseur, G., Cozic, A., Caubel, A., Foujols, M.-A., Meurdesoif, Y., Cadule, P., Devilliers, M., Ghattas, J., Lebas, N., Lurton, T., Mellul, L., Musat, I., Mignot, J., and Cheruy, F.: IPCC DDC: IPSL IPSL-CM6A-LR model output prepared for CMIP6 CMIP, World Data Center for Climate (WDCC) at DKRZ, https://doi.org/10.26050/WDCC/AR6.C6CMIPICL, 2023. a
Brands, S., Herrera, S., San-Martín, D., and Gutierrez, J. M.: Validation of the ENSEMBLES global climate models over southwestern Europe using probability density functions, from a downscaling perspective, Climate Research, 48, 145–161, https://doi.org/10.3354/cr00995, 2011. a
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Short summary
This study introduces the Modified Spatial Efficiency metric to more rigorously evaluate how well climate models reproduce observed spatial patterns, addressing a long-standing challenge in model assessment. It demonstrates robust performance across a wide range of conditions, capturing spatial structures in an intuitive and physically meaningful way. This new metric offers researchers an improved tool for evaluating and inter-comparing climate models.
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