The largest uncertainty in the Global Carbon Budget (GCB) is in emissions from land-use and land-cover change (LULCC), which has an uncertainty of approximately 60%. This is mainly because, until now, we have lacked the tools and data to quantify emissions from deforestation and degradation in the tropics with sufficient accuracy and temporal consistency, and to capture recent afforestation in many temperate regions.
Your jobThe legacy of LULCC decisions today will impact the remaining carbon budget required to achieve climate targets in the coming decades. The incompatibility in the application of these modeling methods presents a fundamental challenge to close the GCB. GCB is the most comprehensive source of data and information about regional-to-global scale carbon fluxes and is updated annually and published at the UNFCCC COP meetings every year. The Combining LAnd-use, modeling and Remote-sensing to Transform carbon budgets (
CLARiTy) project will reduce the persistently high land flux uncertainties by an order of magnitude. Achieving this goal will require a combination of new datasets, a deeper process-understanding, sophisticated models and an improved experimental design.
The aim of CLARiTy is to close the GCB by delivering and operationalizing a consistent data-driven framework for GCB updates and providing accurate estimates of the terrestrial CO2 sources and sinks. CLARiTy will also resolve discrepancies in GCB land components to fully reconcile GCB with country-level estimates by National Greenhouse Gas Inventories, contributing to a better informed Global Stocktake.
One of your tasks is to improve the existing land change dataset HYDE (History of the Global Environment, Klein Goldewijk et al., 2017) and to develop a new dataset by connecting to the high-resolution, multi-year Earth Observation data (HILDA+ dataset), hence adding new historical land use classes such as forest, natural grasslands and barren. You will benefit from the expertise of two co-leads in the CLARiTy project: Kees Klein Goldewijk, one of world’s leading researchers on historical land use reconstructions and developer of the HYDE database at the
Land Change Lab of Utrecht University; and Richard Fuchs/Karin Winkler, developers of the HILDA+ database at Wageningen University Research (WUR, The Netherlands) and Karlsruhe Institute of Technology (KIT, both now based at Garmisch Partenkirchen, Germany).