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Geosci. Instrum. Method. Data Syst., 4, 121-137, 2015
https://doi.org/10.5194/gi-4-121-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
16 Jun 2015
Designing optimal greenhouse gas observing networks that consider performance and cost
CC BY 4.0
Publications Copernicus
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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...
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