Articles | Volume 20, issue 7
https://doi.org/10.5194/bg-20-1313-2023
https://doi.org/10.5194/bg-20-1313-2023
Research article
 | 
06 Apr 2023
Research article |  | 06 Apr 2023

Towards an ensemble-based evaluation of land surface models in light of uncertain forcings and observations

Vivek K. Arora, Christian Seiler, Libo Wang, and Sian Kou-Giesbrecht

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Latest update: 13 Dec 2024
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Short summary
The behaviour of natural systems is now very often represented through mathematical models. These models represent our understanding of how nature works. Of course, nature does not care about our understanding. Since our understanding is not perfect, evaluating models is challenging, and there are uncertainties. This paper illustrates this uncertainty for land models and argues that evaluating models in light of the uncertainty in various components provides useful information.
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