Estimate of the carbon footprint of astronomical research infrastructures
arXiv:2201.08748 · doi:10.1038/s41550-022-01612-3
Abstract
The carbon footprint of astronomical research is an increasingly topical issue with first estimates of research institute and national community footprints having recently been published. As these assessments have typically excluded the contribution of astronomical research infrastructures, we complement these studies by providing an estimate of the contribution of astronomical space missions and ground-based observatories using greenhouse gas emission factors that relates cost and payload mass to carbon footprint. We find that worldwide active astronomical research infrastructures currently have a carbon footprint of 20.33.3 MtCO equivalent (COe) and an annual emission of 1,169249 ktCOe yr corresponding to a footprint of 36.614.0 tCOe per year per astronomer. Compared with contributions from other aspects of astronomy research activity, our results suggest that research infrastructures make the single largest contribution to the carbon footprint of an astronomer. We discuss the limitations and uncertainties of our method and explore measures that can bring greenhouse gas emissions from astronomical research infrastructures towards a sustainable level.
48 pages, 6 tables, 2 figures
References in corpus (4)
- The carbon footprint of large astronomy meetings
- Estimating, monitoring and minimizing the travel footprint associated with the development of the Athena X-ray Integral Field Unit -- An on-line travel footprint calculator released to the science community
- An astronomical institute's perspective on meeting the challenges of the climate crisis
- Estimating the carbon footprint of the GRAND Project, a multi-decade astrophysics experiment
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