Fig. 4
From: Uncertainty maps for model-based global climate classification systems
Graphical description of the uncertainty estimation of distributed climate zones. (a) Maps of climate types for top-10 models and reference data. (b) The performance of individual models was evaluated against the reference data in a pixel-by-pixel comparison, and the degree of agreement between reference and models (in percent) was then calculated. Each pixel is colorized in the consensus map according to the level of confidence: dark blue (≥80%), light blue (79-60%), yellow (59-40%), light red (39-20%), and dark red (<20%). (c) Inter-model class agreement, which represents the number of different climate types identified by the top-10 models for each pixel. Two or fewer climate types indicates low inter-model variability, while three or more indicates high variability (striped regions in the consensus map). The analysis was performed for the four climate classification schemes. Reference data is CRU (for present) and T10 ensemble mean (for future scenarios).
