Designing optimal greenhouse gas observing networks that consider performance and cost

Lucas, D. D.; Yver Kwok, C.; Cameron-Smith, P.; Graven, H.; Bergmann, D.; Guilderson, T. P.; Weiss, R.; Keeling, R.

doi:https://doi.org/10.5194/gi-4-121-2015

Articles | Volume 4, issue 1

https://doi.org/10.5194/gi-4-121-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gi-4-121-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 4, issue 1

Research article

|

16 Jun 2015

Research article |

| 16 Jun 2015

Designing optimal greenhouse gas observing networks that consider performance and cost

D. D. Lucas, C. Yver Kwok, P. Cameron-Smith, H. Graven, D. Bergmann, T. P. Guilderson, R. Weiss, and R. Keeling

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Final revised paper (published on 16 Jun 2015)
Preprint (discussion started on 23 Dec 2014)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C283: 'Interactive comment on “Designing optimal greenhouse gas observing networks that consider performance and cost”, by D.D. Lucas et al.', Anonymous Referee #2, 17 Jan 2015
- AC C330: 'Response to Anonymous Referee #2', Donald Lucas, 23 Mar 2015
RC C285: '"Designing optimal greenhouse gas observing networks that consider performance and cost” by D. D. Lucas et al.', Anonymous Referee #1, 20 Jan 2015
- AC C333: 'Response to Anonymous Referee #1', Donald Lucas, 23 Mar 2015
SC C306: 'similar studies', Tilo Ziehn, 16 Feb 2015
- AC C337: 'Response to Interactive Comment from T. Ziehn', Donald Lucas, 23 Mar 2015

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.