fairmode: latest developments p. thunis + fairmode chairs & co-chairs + fairmode community

Fairmode: Latest developments

P. Thunis + Fairmode chairs & co-chairs + Fairmode Community

WG2 EmissionsL. TarrasonM. Guevara

WG1 AssessmentS. JanssenC. Guerreiro

WG4 Planning

A. ClappierA. MonteiroJ. Lumbreras

WG3Src. App.C. Belis

G. Pirovano

FAIRMODE

Forecasting (F. Meleux)

Monitoring & Modeling (A. Miranda)

Spatial Representativeness (O. Kracht)

Benchmark Guidance Training

e-reporting

Guidance Document on Model Quality Objectives

Version (V1.1) released in April 2015 (http://fairmode.jrc.ec.europa.eu/).

Aveiro discussions on open issues (e.g. observation uncertainty from different instruments, exceedances, data-assimilation…)

Some points are mature enough for integration (e.g. MQO for data-assimilation) whereas others need additional work (e.g. hourly/daily vs. yearly observation uncertainly)

Version 2.0 is in preparation.

WG1 Assessment

http://fairmode.jrc.ec.europa.eu/



EU composite mapping exercise

Background: Countries, regions and/or cities produce yearly air quality maps (different coverage, resolutions, methodologies…)

Task: Collect national, regional or local air quality assessment maps and compile an overall composite EU air quality map

Aim: use the map to support guidance on Model Quality Objective (WG1) Data assimilation / data fusion methodologies (CCA M&M) Emissions consistency (WG2) Reporting

Challenges: (political issues, data overlay, competition, compliance…)

WG1 Assessment

• 28 positive feedbacks • 17 countries• 15 “official” national maps (NCP)

Schedule

Set-up of the database & visualisation interface (Nov 15) Start participants up-load (Oct 15) First prototype version and results: Baveno plenary Feb 16

WG1 Assessment



WG4 Planning



G. Pirovano

FAIRMODE





e-reporting

http://aqm.jrc.ec.europa.eu/DELTA/

Purpose of the JRC benchmarking tool

1. Compare bottom-up and top down emission inventories

2. Enhance communication between national and city authorities by understanding main features of the comparison

WG2 Emissions

WG2

Further analysis of BU vs. TD (common issues) and more locations (Comp. Map) Learn from diversity of top-down datasets Check whether we can improve TD inventories based on BU inventories Based on experience Continuous improvements to the bench. methodology

INERIS-EC4MACS; TNO-MAC II & III;JRC 7 & 1 km

Emissions

Benchmarking

11 cities7 regions

Guidance on traffic emissions

Mapping of current practices (on-going)

Questionnaire will be sent to map current current practices identify the main problems with current practices identify experts to contribute to EFM work Identify links with GHG emission for 2016

Working group to test/analyse emission factor models – HBEFAvs COPERT – links to ERMES

Set-up a working group to evaluate SPECIEU developed in WG3

WG2 Emissions



WG4 Planning



G. Pirovano

FAIRMODE





e-reporting

Online database with 160 real-world PM fingerprint of 50 different types of EU specific sources. Essential input for quality check in source

apportionment and bottom-up emission inventories Continuous development and inclusion of new profiles

SPECIEUROPE

http://source-apportionment.jrc.ec.europa.eu/Specieurope/index.aspx

GUIDELINES ON SOURCE APPORTIONMENT

Guidelines for receptor models available since 2014 Guidelines including source oriented models is in

preparation Performance indicators Common definition of sources Input data Reporting SA results

WG3 Src. App.

WG3Inter-comparison exercise

Assess performances and uncertainties of SA methodologies (including both Source and receptor models)

QA/QC, Harmonisation, complementarity, guidance on good practice

10 source categories 3 months / 3 months 10 receptors (1 speciated) ECMWF meteorology TNO SoAp emissions MACC Bound. Conditions

Src. App.

Goals:

Receptor ModelSource ModelBoth

Participation

Schedule Datasets (emissions, meteorology, measures, BC) available Modeled SA estimates to be provided by end 2015 Analysis of results first half 2016 Details of collaboration with WG4 to be defined Discussion Technical meeting (June 2016)

WG3 Src. App.

72 participants



WG4 Planning



G. Pirovano

FAIRMODE





e-reporting

15

AURORA, all stations in BelgiumEMEP, all stations in BelgiumPM10

WG4 Objective: Assess model performances in scenario mode.

A benchmarking methodology (incl. indicators) has been developed and is currently tested by several groups. EMEP source-receptors relationships (comparison among countries) EMEP vs. country models (comparison among models)

Planning

Green scenarios

WG4 Planning

Future

Generalize the approach to other countries / regions

Make use of “reference” benchmarks

Strengthen the links to source apportionment (WG3)

17



WG4 Planning



G. Pirovano

FAIRMODE





e-reporting

Background No agreement on how to define Sp.

Rep. No agreement on methodologies to

assess Sp. Rep. Collab. with AQUILA

Assessment of the state of the art A questionnaire has been sent out early

2015 Feasibility of an inter-comparison

exercise June 2015

Actions Compilation of dataset End 2015 Inter-comparison exercise 2016

Spat. Repres.

20 participants



WG4 Planning



G. Pirovano

FAIRMODE





e-reporting

21

Fairmode overall recommendations to summarize:

Survey directed to National contact points (Baveno 2015) Technical aspects in collaboration with the EEA (formatting issues…) Feedback on IPR from a Src. App. viewpoint The outcome of the Baveno meeting

Timing: October 2015

Future: Input from composite mapping exercise.

e-reporting

fairmode: latest developments p. thunis + fairmode chairs & co-chairs + fairmode community

Documents

tomap current current

meleuxmonitoring modeling

guevara wg1 assessments

guerreiro wg4 planninga

lumbreras wg3src

data overlay

emission inventories

political issues