Bottom-up approaches for estimating terrestrial GHG budgets: Bookkeeping, 
process-based modeling, and data-driven methods

Poulter, B.; Bastos, Ana; Canadell, J.G.; Ciais, P.; Huntzinger, D.; Houghton, R.A.; Kurz, W.; Petrescu, A.M.R.; Pongratz, Julia; Sitch, S.; Luyssaert, S.

doi:10.1016/B978-0-12-814952-2.00010-1

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Bottom-up approaches for estimating terrestrial GHG budgets: Bookkeeping, process-based modeling, and data-driven methods

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Bastos, Ana
Max Planck Institute for Biogeochemistry, Max Planck Society;

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Pongratz, Julia
Climate-Biogeosphere Interaction, The Ocean in the Earth System, MPI for Meteorology, Max Planck Society;

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Citation

Poulter, B., Bastos, A., Canadell, J., Ciais, P., Huntzinger, D., Houghton, R., et al. (2022). Bottom-up approaches for estimating terrestrial GHG budgets: Bookkeeping, process-based modeling, and data-driven methods. In B. Poulter (Ed.), Balancing greenhouse gas budgets: (pp. 59-85). Amsterdam: Elsevier.

Cite as: https://hdl.handle.net/21.11116/0000-000B-21C6-0

Abstract

This chapter introduces greenhouse gas accounting activities that use “bottom-up” approaches. Bottom-up approaches can be categorized into inventory, bookkeeping, process-based modeling, and data-driven (i.e., remote sensing) methods. Activity data combined with emission factors, gain-loss, or stock-change analyses are the basis of each approach used to carry out the reporting and accounting. Uncertainties stem from data sources, model parameters, type of forcing, reporting level, and uncertainties between methods relate to definitions inherent to reporting requirements by the IPCC and UNFCCC. © 2022 Elsevier Inc. All rights reserved.