Articles | Volume 16, issue 6
https://doi.org/10.5194/essd-16-2669-2024
https://doi.org/10.5194/essd-16-2669-2024
Data description paper
 | 
04 Jun 2024
Data description paper |  | 04 Jun 2024

Estimating the uncertainty of the greenhouse gas emission accounts in global multi-regional input–output analysis

Simon Schulte, Arthur Jakobs, and Stefan Pauliuk

Data sets

Uncertainty of EXIOBASE GHG emission acounts 2015 Simon Schulte et al. https://doi.org/10.5281/zenodo.10041196

Uncertainties from the UNFCCC National Inventory Reports (submission 2017) Simon Schulte and Joshua Heipel https://doi.org/10.5281/zenodo.10037714

Correspondence table between UNFCCC CRF and EXIOBASE industry sectors Simon Schulte https://doi.org/10.5281/zenodo.10046372

Model code and software

Code for estimating the uncertainty of EXIOBASE GHG emissions accounts Simon Schulte https://doi.org/10.5281/zenodo.10141616

Download
Short summary
Greenhouse gas (GHG) emission accounts record emissions according to the economic boundary of a country, irrespective of whether they occur within national borders or not. In this study, we explore the accuracy of those GHG emission accounts. We find that the accuracy varies significantly depending on the country and economic sector. For example, small countries with extensive aviation or shipping activities show a high degree of uncertainty in their GHG emission accounts.
Altmetrics
Final-revised paper
Preprint