Atmospheric inverse modelling: land-atmosphere carbon exchanges, seen from the atmosphere
Atmospheric inverse modelling is a class of techniques used to estimate the fluxes of carbon between the atmosphere and other carbon reservoirs (terrestrial and marine ecosystems, oceans, fossil, etc.), by combining the information from a prior estimate of the fluxes (typically computed by predictive models, such as LPJ-GUESS), with that from observations of the impact of these fluxes on the concentration of CO2 and other greenhouse gases in the atmosphere.
The potential of inversions depends largely on the availability of observations. In the recent years, the rapid development of ground-based greenhouse gas monitoring networks, such as ICOS in Europe, and the launch of new satellite instruments have enabled rapid progress, but it also leads to new technical challenges. The approach can also be extended to account for more data streams, such as direct flux observations or satellite products. It is therefore at the interface of several of the research activities conducted at INES.
The LUMIA (Lund University Modular Inversion Algorithm) is a regional atmospheric inversion system, which we developed initially with the purpose of assimilating CO2 observations from ICOS, but it was developed as a very modular tool, that can be adapted to a wider variety of inverse problems. It has recently been used in the EUROCOM intercomparison, an international collaboration between several European research groups to produce estimates of European NEE in the past decade.
In the seminar, I will present the LUMIA system and give an overview of the results from the EUROCOM project, and I will talk of the future developments of the system, and how it can integrate with other INES activities.
This seminar will be given via Zoom.
Meeting ID: 682 3216 9029