Abstract
The aim of the bonsai_ipcc Python package is to enable users to calculate national greenhouse
gas (GHG) inventories based on the guidelines provided by the International Panel on Climate
Change (IPCC) (Intergovernmental Panel on Climate Change, 2023). In implementing the
equations and parameter data from these guidelines, the package adheres to the organizational
structure outlined in the guidelines’ PDF documents, which include volumes and chapters.
The package allows users to add their own data. In addition to computing default GHG
inventories, the software includes tools for error propagation calculation, such as analytical
error propagation and Monte Carlo simulation, both of which are endorsed by the IPCC reports.
gas (GHG) inventories based on the guidelines provided by the International Panel on Climate
Change (IPCC) (Intergovernmental Panel on Climate Change, 2023). In implementing the
equations and parameter data from these guidelines, the package adheres to the organizational
structure outlined in the guidelines’ PDF documents, which include volumes and chapters.
The package allows users to add their own data. In addition to computing default GHG
inventories, the software includes tools for error propagation calculation, such as analytical
error propagation and Monte Carlo simulation, both of which are endorsed by the IPCC reports.
| Originalsprog | Engelsk |
|---|---|
| Artikelnummer | 06123 |
| Tidsskrift | The Journal of Open Source Software |
| Vol/bind | 9 |
| Udgave nummer | 95 |
| Antal sider | 4 |
| DOI | |
| Status | Udgivet - 26 mar. 2024 |