Guidance
Leaders: Leonor Tarrasson (NILU), Enrico Pisoni (JRC)
Proposal for a QA/QC protocol to support modelled assessments of air quality
Description
While this working group activities have so far focused on developing a methodology to benchmark model performance (Modelling Quality Objective (MQO), QA/QC protocol), future activities will focus on regular inter-comparison exercises based on the Composite Mapping platform and use of the MQO indicators:
- Regular inter-comparisons and targeted analysis of key reported assessment data (modelling air concentrations & emissions aggregated data)
- Targeted analysis of the Modelling Quality Indicator (MQI) across Europe (based on the comparison of on-the-fly and reported MQI)
- Targeted study of the underlying emission data (Emission Dashboard – link to WG7)
- Testing usability and usefulness of modelling metadata
- Consequences for e-reporting of modelling data
- Guidance on model application, documentation and validation
- Update of the 2011 FAIRMODE guide on model application
- Support to AAQD guidance on model use
- Support to CEN WG43 (MQO) on the implementation of MQI
More information can also be found on the DELTA tool page.
Publications
- Strengths and weaknesses of the FAIRMODE benchmarking methodology for the evaluation of air quality models (2018)
- Applying the Delta tool to support AQD: The validation of the TCAM chemical transport model (2014)
- Model quality objectives based on measurement uncertainty. Part I: Ozone (2013)
- Model quality objectives based on measurement uncertainty. Part I: PM10 and NO2 (2013)
- Performance criteria to evaluate air quality modeling applications (2012)
- A tool to evaluate air quality model performances in regulatory applications (2012)
Tools and datasets
WG2 Meetings
| Originally Published | Last Updated | 29 Jul 2025 | 29 Jan 2026 |
| Publisher | Metadata | FAIRMODE | Assessment |
| Digital Europa Thesaurus (DET) | air quality policyModelling |
PUBLICATION | 28 Jan 2026
Synopsis: Economywide assessment of CSA interventions in building resilient agri-food systems in Rwanda
This research extends IFPRI’s RIAPA modeling to include both the full implementation of PSTA 5’s climate smart agriculture and a once-in-five-year weather shock, and the interactions of both on agricultural...
PAGE | 26 Jan 2026
Monitoring design, spatial representativeness and associated exceedance situation indicators (Working Group 8)
The AAQD offers the opportunity for MS to use model applications (alone or as supplementary information of measurements) to assess the air quality.
PUBLICATION | 23 Jan 2026
Influence of structural and relational social capital on the vegetable supply chain performance among smallholder vegetable farmers in Northern Tanzania
In the context of increasingly fragmented and informal agricultural markets, social capital has emerged as a vital resource for enhancing the coordination, efficiency and resilience of the vegetable supply chain. However...
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