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  • Page | Last updated: 23 Mar 2026
Emission Inventories and Projections for modelling applications (Working Group 7)

The focus of this WG is on the compilation of high resolution anthropogenic emissions to be used as input for air quality modelling applications from local to national scale, including assessment of future scenarios, through: a) Benchmarking; b) Capacity building and identification of best practices; c) Development of recommendations and guidance.

Guidance

Leaders: Susana Lopez-Aparicio (NILU), Marc Guevara (BSC)

Description

The focus of this WG is on the compilation of high resolution emissions to be used as basis for air quality modelling applications under the EU air quaity Directive 2024/2881, including assessment, planning, forecasting and source contribution. This focus is needed because existing guidance, such as the EMEP/EEA emission inventory guidebook, does not fully address emission compilation for modelling purposes, since it is primary intended towards reporting national emission totals. Methods designed for national reporting therefore tend to differ systematically from those required for modelling applications, which have different needs regarding spatial and temporal detail, as well as the input data and proxies used.

Activities performed under this WG are structured on the following main points :

  1. Benchmarking: Intercomparison between existing European emission inventories (e.g., EMEP, CAMS-REG, EDGAR) and local emission inventories through the FAIRMODE Emission Benchmarking Tool to monitor progress, identify inconsistencies among inventories, and define next steps for their improvement. Regular intercomparisons exercises are carried out to support this activity.
  2. Capacity building and identification of best practices: Organisation of webinars and activities focusing on knowledge transfer and capacity building on topics related to:
    1.  the compilation of emission inventories for specific air quality applications (e.g., planning)
    2. spatial mapping and temporal distribution of emissions
    3. quantification of emissions for specific categories and processes (e.g., resuspension) and 
    4. the use of emerging methods (e.g., satellite data, AI / ML) to support and improve high-resolutions emissions in a broader sense.
  3. Development of recommendations and guidance: Based on the outcomes derived from the benchmarking and capacity building activities, elaborate recommendations on key aspects that support the compilation of robust emission inputs to support air quality modelling applications under the EU air quaity Directive 2024/2881

Documents

Publications

Tools and datasets

WG7 Meetings