Uncertainty in estimating forest emissions: Introduction to Monte Carlo

Topic outline Deforestation makes a significant contribution to global greenhouse gas (GHG) emissions, and in order to achieve goals such as the 2015 Paris Agreement, programmes such as the REDD+ framework aim to protect forests worldwide. Transparently and accurately reporting emission reductions from forest cover is a vital element. The course combines theory with practical examples to develop capacity to accurately estimate uncertainty in forest emission estimates, comparing the Intergovernmental Panel on Climate Change (IPCC)’s Analytical method (Approach 1) and the benefits of using The Monte Carlo simulation (Approach 2) in biennial transparency reports under the Paris Agreement.