Preprints
https://doi.org/10.5194/egusphere-2022-213
https://doi.org/10.5194/egusphere-2022-213
 
18 May 2022
18 May 2022

A Flexible Algorithm for Network Design Based on Information Theory

Rona Thompson and Ignacio Pisso Rona Thompson and Ignacio Pisso
  • NILU – Norsk Institut for Luftforskning

Abstract. A novel method for atmospheric network design is presented, which is based on Information Theory. The method does not require calculation of the posterior uncertainty (or uncertainty reduction) and, therefore, is computationally more efficient than methods that require this. The algorithm is demonstrated in two examples, the first looks at designing a network for monitoring CH4 sources using observations of the stable carbon isotope ratio in CH413C), and the second looks at designing a network for monitoring fossil fuel emissions of CO2 using observations of the radiocarbon isotope ratio in CO2 (∆14CO2).

Rona Thompson and Ignacio Pisso

Status: final response (author comments only)

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
  • RC2: 'Comment on egusphere-2022-213', Anonymous Referee #2, 17 Jun 2022

Rona Thompson and Ignacio Pisso

Rona Thompson and Ignacio Pisso

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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 maximise 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.