A flexible algorithm for network design based on information theory

Thompson, Rona L.; Pisso, Ignacio

doi:https://doi.org/10.5194/amt-16-235-2023

Articles | Volume 16, issue 2

https://doi.org/10.5194/amt-16-235-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-16-235-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 2

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

Supplement

https://doi.org/10.5194/amt-16-235-2023-supplement

Data sets

ocean_ch4.nc T. Weber https://doi.org/10.6084/m9.figshare.9034451.v1

Gridded fossil CO2 emissions and related O2 combustion consistent with national inventories 1959-2018 (GCP-GridFEDv2019.1) M. W. Jones, R. M. Andrew, G. P. Peters, G. Janssens-Maenhout, A. J. De-Gol, P. Ciais, P. K. Patra, F. Chevallier, and C. Le Quéré https://doi.org/10.5281/zenodo.3958283

EDGAR v5.0 Greenhouse Gas Emissions M. Crippa, D. Guizzardi, M. Muntean, E. Schaaf, E. Lo Vullo, E. Solazzo, F. Monforti-Ferrario, J. Olivier, and E. Vignati http://data.europa.eu/89h/488dc3de-f072-4810-ab83-47185158ce2a

Global fire emissions estimates during 1997–2016 (https://www.geo.vu.nl/~gwerf/GFED/GFED4/) G. R. van der Werf, J. T. Randerson, L. Giglio, T. T. van Leeuwen, Y. Chen, B. M. Rogers, M. Mu, M. J. E. van Marle, D. C. Morton, G. J. Collatz, R. J. Yokelson, and P. S. Kasibhatla https://doi.org/10.5194/essd-9-697-2017

Model code and software

A Flexible Algorithm for Network Design Based on Information Theory R. Thompson and I. Pisso https://doi.org/10.5281/zenodo.7070622

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.