Atmospheric inverse modelling of greenhouse gases and aerosol

Beskrivning

The regional atmospheric inversion system LUMIA was developed at Lund University for producing observation-informed estimates of the carbon exchanges between the terrestrial ecosystems and the atmosphere over Europe. It relies on an atmospheric transport model (FLEXPART) to estimate CO2 concentrations corresponding to a prior flux estimate. The modelled concentrations are then compared to in-situ observations such as those from the ICOS network, and the model-data mismatches are used to infer a correction to the prior flux estimate.
Recently, LUMIA was expanded to account for additional tracers: CH4, radiocarbon (14CO2) and black carbon (BC) aerosols. One objective is to produce emission estimates for these tracers, but also to perform multi-tracer inversions, which make use of the fact that some of these tracers are co-emitted to further refine the CO2 sources and sinks estimates. For instance, BC aerosols are emitted during combustion processes (of biomass and fossil fuels), and the 14CO2:CO2 ratio provides indication on the relative contribution of fossil fuel emissions to the measured CO2 concentrations.
We present early results from these new simulations and provide an overview of the inverse modelling activities at LU.

Period	2022 maj 17
Evenemangstitel	Swedish Climate Symposium 2022
Typ av evenemang	Konferens
Plats	Norrköping, SverigeVisa på karta