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Volume 4, issue 1 | Copyright
Geosci. Instrum. Method. Data Syst., 4, 121-137, 2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 16 Jun 2015

Research article | 16 Jun 2015

Designing optimal greenhouse gas observing networks that consider performance and cost

D. D. Lucas et al.
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Cited articles
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Publications Copernicus
Short summary
Multiobjective optimization is used to design Pareto optimal greenhouse gas (GHG) observing networks. A prototype GHG network is designed to optimize scientific performance and measurement costs. The Pareto frontier is convex, showing the trade-offs between performance and cost and the diminishing returns in trading one for the other. Other objectives and constraints that are important in the design of practical GHG monitoring networks can be incorporated into our method.
Multiobjective optimization is used to design Pareto optimal greenhouse gas (GHG) observing...