EMI is to provide the distribution of surface emissions at the global and regional scales to the MACC-II sub-projects. Tools to analyse and evaluate these surface emissions and to compare them with other available datasets will be developed and made user-friendly through web-based emissions database. Both anthropogenic and natural sources will be considered. EMI will develop strong links with the FIR project, which develops and analyses biomass burning emissions.
EMI will collaborate with the different MACC-II sub-projects, and more particulary with AER, GRG, GHG, GDA, VAL, EVA, VAL and ENS, in order to ensure that all the products needed for each activity within these sub-projects are made available. Within MACC, the corresponding D-EMIS sub-project developed strong interactions with inernational projects such as GEIA, the Global Emissions Inventory Activity. The GEIA emissions portal and the associated ECCAD emissions database (Emissions of atmospheric Compounds & Compilation of Ancillary Data) will be further developed within MACC-II: the emissions datasets developed as part of MACC-II will be distributed as part of GEIA-ECCAD, and the tools developed to evaluate the emissions will be further developed. We will also collaborate with the AQMEII, which coordinates research efforts being undertaken in the European Union and North America on regional air-quality modelling.
With MACC-II, anthropogenic emissions of the compounds considered in the different global and regional model activities will be updated with the most recent available data. D-EMIS in MACC has started to conduct an evaluation of global and reghional datasets, and this will be continued in MACC-II. Large inconsistencies have already been demonstrated, for example on traffic and ship emissions. In MACC-II, several ship global and regional datasets will be gathered and analysed, and better ways to develop more consistent emissions, and evaluate available distributions.
EMI will also undertake a pilot study on the use the results of global and regional inverse modelling for the optimization of the emissions of carbon monoxide. Emission increments provided by the global and regional clusters will be gathered and analysed, and the robustness of the results will be assessed. The results of this pilot study will be used to evaluate the possibility of developing a service providing optimized CO emissions in the future atmospheric service under Copernicus Operations. This work will be acrried out in liason with efforts on flux inversion for other species carried out in other sub-projects.