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Task force on measurement S and modelling. Wish-list to the Emission community . Context. TFMM annual meeting held in Zagreb on the 6-8 May 2013 Main issues : Review of the implementation of the EMEP monitoring strategy

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Task force on measurement s and modelling

Task force on measurementS and modelling

Wish-list to the Emission community


  • TFMM annual meeting held in Zagreb on the 6-8 May 2013

  • Main issues :

    • Review of the implementation of the EMEP monitoring strategy

    • Feedback and discussion about Intensive Observation Periods (IOPs); source apportionment analyses

    • Review of the progress of work in modelling: development of the EMEP models, model intercomparison exercises (EURODELTA3)

    • Development of close cooperation with national experts (HM case study)

    • Comparing model results to observations necessary to build up confidence in use of model for policy decisions and to improve model parametrisation

  • Emissions remain one of the most sensitive factors for modelling, and even interpretation of measurements

Policy framework
Policy framework :

  • According to the rules of the Convention :

    • There is no compliance obligation for Parties who did not ratify the Protocols to exchange gridded data, even though it is in athe text of the 1979 Convention

    • When they exist, compliance obligations are limited to pollutants and parameters listed in the Protocols

    • At this stage, emission reporting and review are already heavy tasks for the Parties -> difficult to ask more, except if there are policy justifications (e.g. “black carbon”)

    • Is it better to have “something highly uncertain” than “nothing” -> Looking for a compromise, developing community of practises, common data sets , etc ...

    • BUT: Is the official EMEP emission inventory used by national experts working on AQ assessments?

      • NO .... EMEP emissions are not completely suited to develop a comprehensive overview of air pollution indicators' behaviour

Key questions and requirements
Key questions and requirements

  • What are the most sensitive parameters in emissions to improve model results (chemical species, spatio-temporal resolution, spatial distribution, activities and emission factors...).

    • Need for gridded emissions : appropriate and reliable spatial distribution influences the quality of model results

    • Appropriate (agreed) spatial resolution : should go with the improvement of model resolution. Optimum remains to be defined (especially in terms of cost-benefits)

    • “Non-inventoried “ emissions : biogenic emissions, forest fires, dusts, resuspension...

    • Completeness of emissions over the targeted domain.

    • High Temporal resolution: to catch episodes and highest concentration levels

  • What are the gaps in activities related to emission inventories that need to be quickly filled in (pollutants, sources, emission factors ....)?

    • Chemical composition by sector: PPM, Hg, PAHs, VOCs, dioxines and furanes, PCBs : not only for modelling but also for measurements (source-receptor approaches), and for the effect community (e.g base cation depositions)

    • Accounting for semi-volatile VOCs that drive secondary organic aerosol formation: correction factor from VOCs, speciation of the heaviest species by sector... No data so far (although requested by both measurement and modelling experts)

    • EC/OM/OPPM* emissions for PM2.5 and PMcoarse fractions: for both modelling and policy issues

    • Non-inventoried emissions: common practice to calculate them, common databases (soil properties, land use, forest composition....)

    • Historical sets of emissions : to learn from the past

    • Common practises to disaggregate emission data (to improve spatial resolution): use of proxies, which ones...

    • Information related to emissions to other medias : databases, references...

*OPPM : OtherPrimaryParticulateMatter (anthropogenic dust, metals, etc..)

  • Based on your experience what is level of consistency between global, regional, national and local emission inventories? What is the required level of agreement?

    • Poor....

    • Need to access to global scale “reference” emissions ;

    • Need to know about existing national high resolved spatial emission inventories : how many, where, substances ...

    • Pilot study to assess their consistency with officially reported data; definition of new methodologies, proxies?

    • Need for feedback, explanations about huge differences between countries: due to national legislation, energy policies, economical reasons

    • Comparison with scientific oriented inventories : for instance, what to learn from GEIA (Global Emission Initiative)? Scientific inventories contain useful data that we usually look for. Should measurement specialists and modellers investigate by themselves?

  • Which observations/modelling tools can be used to improve emission inventories?

  • What are the requirements from emission community to the TFMM?

    • Running models is a good way to track potential problems in spatial emission inventories: is there an interest for the emission community?

    • It is possible that some measurements could help in improving emission data: VOCs, heavy metals...

    • Inverse modelling techniques (also developed for checking emission reporting of GHG) : they could be adapted to some air pollution species... Provided that there is enough observation data.

How to improve our cooperation
How to emission inventories?improveourcooperation?

  • Why measurement and modelling community needs more emission data than what is actually reported can be illustrated (explanation inMSC-W and MSC-E presentations)

  • It is possible to prioritize our needs : looking for the 3 most critical points....

  • Conversely TFEIP and CEIP could express some needs to the TFMM

  • Is it possible to work together on oneor twotest cases (country) to analyse

    • the differences between gridded emissions reported to EMEP and national emissions,

    • Their impact on modelling air pollution patterns in this country and their comparison to observations?

  • Working together on the comparison with “scientific-oriented” gridded emissions inventories ?

Thank you for your attention
Thank emission inventories?you for your attention