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Various observational data streams have been shown to provide valuable constraints on the state and evolution of the global carbon cycle. It is, however, difficult to decide which variables to sample how, where and when in order to achieve an optimal use of the observational capabilities. Quantitative Network Design (QND) assesses the impact of a given set of existing or hypothetical observations in a modelling framework. QND has been used to optimise in situ networks and assess the benefitdoi:10.5194/bg-2017-168 fatcat:4g7md5b7dzddbjuxquijxhop4q