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

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).

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Share

Journal article(s) based on this preprint

19 Jan 2023
A flexible algorithm for network design based on information theory
Rona L. Thompson and Ignacio Pisso
Atmos. Meas. Tech., 16, 235–246, https://doi.org/10.5194/amt-16-235-2023,https://doi.org/10.5194/amt-16-235-2023, 2023
Short summary
Download

The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
Atmospheric networks are used for monitoring air quality and greenhouse gases and can provide...
Share