Assisting the Evolution of the Observing System for the Carbon Cycle through Quantitative Network Design

Thomas Kaminski, Peter Julian Rayner
2017 Biogeosciences Discussions  
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 benefit
more » ... planned space missions. This paper describes recent progress and points at aspects that are not yet sufficiently addressed. It demonstrates the advantage of an integrated QND system that can simultaneously evaluate a multitude of observational data streams and assess their complementarity and redundancy.
doi:10.5194/bg-2017-168 fatcat:4g7md5b7dzddbjuxquijxhop4q