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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
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
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
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
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
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
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
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
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
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
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
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