File : D4.7
Author : Rona Thompson (NILU)
This deliverable presents the results of inverse modelling of CH4 and N2O. Emissions of CH4 were estimated using the FLEXPART-ExKF inversion framework, which employs an Extended Kalman Filter (ExKF) and uses the Lagrangian Particle Dispersion Model, FLEXPART to model
atmospheric transport (see Section 2.2.2). Emissions of N2O were estimated using the FlexInvert inversion framework, which finds the maximum posterior probability solution using Bayesian statistics and also employs the FLEXPART transport model (see Section 2.2.1). For both CH4 and N2O, the emissions are presented at 0.5°×0.5° resolution and at a minimum of monthly temporal resolution for the period 2005-2017. In the case of CH4, preliminary results show a significant reduction with respect to the prior emission estimates, whereas for N2O, the significant increases seen with respect to the prior estimates (see Section 3).
