Prütz et al. (2025): Imputation of missing land carbon sequestration data in the AR6 Scenarios Database

Ruben Prütz, Sabine Fuss, Joeri Rogelj IN: Earth System Science Data, https://doi.org/10.5194/essd-17-221-2025

The AR6 Scenarios Database is a vital repository of climate change mitigation pathways used in the latest Intergovernmental Panel on Climate Change (IPCC) assessment cycle. In its current version, many scenarios in the database lack information about the level of anthropogenic carbon dioxide (CO₂) removal via land sinks, as net-negative CO₂ emissions and gross removals on land are not always separated and are not consistently reported across models. This makes scenario analyses focusing on CO₂ removal challenging. The authors test and compare the performance of different regression models to impute missing data on land carbon sequestration for the global level and for several sub-global macro-regions from available data on net CO₂ emissions from agriculture, forestry, and other land uses.

LINK