Towards Bayesian uncertainty quantification for forestry models used in the UK GHG inventory for LULUCF
Van Oijen, Marcel; Thomson, Amanda. 2007 Towards Bayesian uncertainty quantification for forestry models used in the UK GHG inventory for LULUCF. In: 2nd International workshop on Uncertainty in Greenhouse Gas Inventories, Laxenburg, Austria, 27-28 September 2007. Laxenburg, Austria, IIASA, 209-216.Before downloading, please read NORA policies.
Restricted to NORA staff only
The GHG Inventory for the U.K. currently uses a simple carbon-flow model, CFLOW, to calculate the emissions and removals associated with forest planting since 1920. Here we aim to determine whether a more complex process-based model, BASFOR, could be used instead of CFLOW. The use of a more complex approach allows accounting for spatial heterogeneity in soils and weather, but places extra demands on uncertainty quantification. We show how Bayesian methods can be used to address this problem.
|Item Type:||Publication - Conference Item (Paper)|
|Programmes:||CEH Programmes pre-2009 publications > Biogeochemistry > BG01 Measuring and modelling trace gas, aerosol and carbon > BG01.2 Carbon|
|Additional Keywords:||Bayesian calibration, uncertainty quantification|
|NORA Subject Terms:||Agriculture and Soil Science
|Date made live:||14 Feb 2008 16:18|
Actions (login required)