This work builds upon and extends previous multi-model ensemble studies by introducing five meta-modelling approaches to predict ecosystem-scale C fluxes. Our results show that meta-models consistently outperform both the multi-model median and the best individual process-based models, improving explained variance and substantially reducing bias, even for challenging fluxes such as total ecosystem respiration and net ecosystem exchange.