GHOST: a globally harmonised dataset of surface atmospheric composition measurements

Bowdalo, Dene; Basart, Sara; Guevara, Marc; Jorba, Oriol; Pérez García-Pando, Carlos; Jaimes Palomera, Monica; Rivera Hernandez, Olivia; Puchalski, Melissa; Gay, David; Klausen, Jörg; Moreno, Sergio; Netcheva, Stoyka; Tarasova, Oksana

doi:https://doi.org/10.5194/essd-16-4417-2024

Articles | Volume 16, issue 10

https://doi.org/10.5194/essd-16-4417-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-16-4417-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 10

Data description paper

|

07 Oct 2024

Data description paper |

| 07 Oct 2024

GHOST: a globally harmonised dataset of surface atmospheric composition measurements

Dene Bowdalo, Sara Basart, Marc Guevara, Oriol Jorba, Carlos Pérez García-Pando, Monica Jaimes Palomera, Olivia Rivera Hernandez, Melissa Puchalski, David Gay, Jörg Klausen, Sergio Moreno, Stoyka Netcheva, and Oksana Tarasova

Data sets

GHOST: A globally harmonised dataset of surface atmospheric composition measurements Dene Bowdalo https://doi.org/10.5281/zenodo.10637449

Model code and software

GHOST dataset processing software Dene Bowdalo https://doi.org/10.5281/zenodo.13859074

Short summary

GHOST (Globally Harmonised Observations in Space and Time) represents one of the biggest collections of harmonised measurements of atmospheric composition at the surface. In total, 7 275 148 646 measurements from 1970 to 2023, from 227 different components, and from 38 reporting networks are compiled, parsed, and standardised. Components processed include gaseous species, total and speciated particulate matter, and aerosol optical properties.