- 1European Commission, Joint Research Centre (JRC), Ispra, Italy
- 2Université de Bordeaux, France
- 3CSIRO, Canberra, Australia
- 4Institute for Global Environmental Strategies, IGES, Hayama, Japan
- 5Faculty of Environment, Science and Economy, University of Exeter, Exeter, UK
- 6Laboratoire de Météorologie Dynamique, Institut Pierre-Simon Laplace, CNRS, École Normale Supérieure, Université PSL, Sorbonne Université, École Polytechnique, Paris, France
- 7World Resources Institute, Washington DC, USA
- 8GFZ Helmholtz Centre for Geosciences, Potsdam, Germany
- 9School of Geographical Sciences, University of Bristol, UK
- 10CICERO Center for International Climate Research, Oslo, Norway
- 11Department of Geography, Ludwig-Maximilians-Universität München, Munich, Germany
- 12Max Planck Institute for Meteorology, Hamburg, Germany
- 13Basque Centre for Climate Change (BC3), Bilbao, Spain
- 14Ikerbasque Foundation, Euskadi Pl., 5, 48009 Bilbao, Spain
Land use plays a critical role in achieving the Paris Agreement goals, yet inconsistencies between global carbon models, Earth Observation (EO), and national greenhouse gas inventories (NGHGIs) lead to significant mismatches in CO₂ emission estimates. NGHGIs, reported by countries using IPCC guidelines, guide national policies, while global models and satellite-based Earth Observation estimates support independent evaluations. Ensuring comparability among these datasets is essential.
Here we introduce the LULUCF Data Hub, an interactive platform hosted by the EU Forest Observatory to visualize CO₂ emissions and removals as reported by countries to the UNFCCC, alongside independent global land-use emission datasets. NGHGI data indicate a global net LULUCF sink of -2.3 Gt CO₂ yr⁻¹ (on average 2000-2023), with declining deforestation emissions and increasing forest sinks. For total LULUCF, a good agreement emerges between the translated results from the Global Carbon Budget (GCB 2024, representing the modelling scientific community) and NGHGIs at global level, both in magnitude – with the original gap of 7.2 Gt CO2 yr-1 (2000-2022 average) reduced to 0.8 Gt CO2 yr-1 – and trend. When combining estimates for forest and deforestation, the translated results from Global Forest Watch (GFW, representing the EO scientific community in this study) also show a similar magnitude than NGHGI, but a divergent trend.
While the translation methodology used here effectively addresses conceptual differences among the studied datasets at the global level and for most countries, we highlight regions and countries where disagreements in estimates persist. We provide insights into possible reasons for these discrepancies and indicate areas where further research is warranted. The ultimate objective of the LULUCF data hub is to stimulate dialogue and foster collaborative efforts across different communities to reach a greater consensus on the magnitude and trends of land use emissions and removals, in support of the implementation of the Paris Agreement and in anticipation of the next UNFCCC Global Stocktake.
How to cite: Melo, J., Rossi, S., Achard, F., Alkama, R., Canadell, J. G., Federici, S., Friedlingstein, P., Gibbs, D., Harris, N., Heinrich, V., O'Sullivan, M., Peters, G. P., Pongratz, J., Rose, M., Roman-Cuesta, R., Sanz, M. J., Schwingshackl, C., Sitch, S., and Grassi, G.: The LULUCF Data Hub: regional- and national-level discrepancies between independent global datasets and national GHG inventories., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22427, https://doi.org/10.5194/egusphere-egu26-22427, 2026.