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

Data sets

Climate Explorer KNMI https://climexp.knmi.nl/selectfield_cmip6_knmi23.cgi?

ECMWF ERA5 Reanalysis ECMWF https://doi.org/10.24381/cds.f17050d7

Model code and software

Python software Andreas Karpasitis https://doi.org/10.5281/zenodo.15094921

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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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