Articles | Volume 16, issue 2
https://doi.org/10.5194/amt-16-235-2023
https://doi.org/10.5194/amt-16-235-2023
Research article
 | 
19 Jan 2023
Research article |  | 19 Jan 2023

A flexible algorithm for network design based on information theory

Rona L. Thompson and Ignacio Pisso

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-213', Peter Rayner, 11 Jun 2022
    • AC1: 'Reply on RC1', Rona Thompson, 13 Sep 2022
  • RC2: 'Comment on egusphere-2022-213', Anonymous Referee #2, 17 Jun 2022
    • AC2: 'Reply on RC2', Rona Thompson, 13 Sep 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Rona Thompson on behalf of the Authors (15 Sep 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (19 Sep 2022) by Thomas Röckmann
ED: Publish as is (28 Nov 2022) by Thomas Röckmann
AR by Rona Thompson on behalf of the Authors (28 Nov 2022)
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Short summary
Atmospheric networks are used for monitoring air quality and greenhouse gases and can provide essential information about the sources and sinks. The design of the network, specifically where to place the observations, is a critical question in order to maximize the information provided while minimizing the cost. Here, a novel method of designing atmospheric networks is presented with two examples, one on monitoring sources of methane and the second on monitoring fossil fuel emissions of CO2.