The GMES Project PASODOBLE

Support and Development of Local and Regional Air Quality Serviceswww.myair-eu.org

Thilo Erbertseder & PASODOBLE consortium15th EIONET Workshop

Umweltbundesamt, Dessau, Germany

October 14-15, 2010

PASODOBLE - GoalDevelop and demonstrate user-driven services for the regional and local air quality sector by combining space-based data, in-situ data and models in 4 service lines:• Health community support

for people at risk, hospitals, pharmacies and doctors

• Public forecasting and assessment supportfor agencies, tourist industries and sport event organizer

• Compliance monitoring supporton particulate matter for regional environmental agencies

• Local forecast model evaluation supportfor local authorities and city bodies

… embeded in a generic, harmonised technical infrastructure

PASODOBLE – Service Domains

• focus on regions and cities affected by air pollution issues

PASODOBLE - Scope

• 22 partners from 13 countries

• 30 services in 17 countries

• Currently over 30 users

• May 2010-2013

PASODOBLE - Consortium

DLR Deutsches Zentrum für Luft- und Raumfahrt (coordinator), DE ACRI ACRI – ST, FRAEA AEA Technology, UKAUTH Aristotle University of Thessaloniki, ELBMT BMT ARGOSS, NLIASB Institut d’Aeronomie Spatiale de Belgique, BEBAS Bulgarian Academy of Sciences, GPhI, BGCERC Cambridge Environmental Research Consultants, UKCGS Carlo Gavazzi Space, ITCHU Centre Hospitalier Universitaire Nice, FRMUW Medical Uni Vienna / European Aeroallergen Network, ATEMA European Medical Association, INTFMI Finish Meteorological Institut, FIKNMI Koninklijk Nederlands Meteorologisch Instituut, NLNILU Norsk Institutt for Luftforskning, NOFRIUUK Rheinisches Institut für Umweltforschung, DETAS-F Thales Alenia Space France, FRTNO Ned. Org. v. Toegepast Natuurwetenschappelijk Onderzoek, NLVITO Vlaamse instelling voor technologisch onderzoek, BENowcasting International, IEOutdoor Concepts, DERIVM National Institute for Public Health and the Environment, NL

PASODOBLE - Concept

Interface to Core and Inputs

Interface to UsersQual

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GMES Core Services

Other Inputs

Users and Market

User Needs

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Health Community Support

Public Forecasting Support

Compliance Monitoring Support

Local Model Evaluation Support

Air Quality Service Cluster1

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In situ & Satellite Data

PASODOBLE - Objectives

• Development and demonstration of AQ services for European regions/cities, based on documented needs and demonstrated capabilities of the ESA GSE PROMOTE user federation and service providers

• Development and testing of a sustainable generic service infrastructure for efficient and effective implementation of (future) services and user access.

• Utilization of multiple cycles of delivery, use, assessment vs. requirementsincluding market intelligence assessment wrt to self-supportiveness and sustainability

• Promotion of use of best practise and harmonization

Scale and Application of Current Projects

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M. Schaap, TNO @ FAIRMODE Meeting

Relation to MACC

Global (Reactive and Greenhouse Gases, Aerosol)

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Users and MarketUser

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Local / Urban

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Satellite data In-situ DataUser Needs Other Inputs

Health Community Support Services

• Target: people at risk, hospitals, pharmacies, doctors

• develop new information products together with specialists per pathology

• establish information-dissemination mechanisms to increase support for specialists e.g. communicative platforms (e.g. in PACA region, France)

• increase uptake in health community (EMA)

• provision of intuitive information(e.g. discomfort analyses)

• Enable sensitive groups to take precautionary measures and action

Alerting People at Risk• Under PROMOTE I pollution alerts were trialled, starting with the

London Borough of Croydon

• The forecasts linked forecasts from regional models with ADMS-Urban modelling at local scale

• Evaluation showed high degree of satisfaction from users

• Under PROMOTE II pollution alerts were launched across London

Forecasts and Alerts: London airTEXT

• Air pollution alerts by text, voicemail, email

• Over 6,000 subscribers• www.airtext.info

CERC

How airTEXT works

YourAirPollutionforecast

for London

Preparation ofgeneric

area forecast

Moderate?High?

Very High?

Pollution levels

Preparation ofvoice message

and e-mail(automated text alert)

Disseminationof message viatext, voice, and

e-mail

Alerting People at Risk

Public Information and Assessment Support Services

• improvement of existing AQ services

• thematic integration of services wrt AQ, meteorology, aero-allergens, UV

• region-wise harmonisation of established services (w.r.t validation protocols, metadata, INSPIRE, SEIS, FAIRMODE, HARMO)

• Target:

• the public

• road traffic management (NL)

• harbour management (Antwerp, Rotterdam)

• Tourism and sports sector(Olympic Games 2012 London)

Air Quality Assessment for Brussels region

• Annual mean concentrations of NO2 at high resolution (1km*1km, AUORA model)

• Background from 10 to 20 µg/m3 Urban from 35 to 60 µg/m3

• 342,000 individuals exposed to annual mean NO2 conc. in excessof Europ. threshold of 40 µg/m3 compared to none when domainmean conc. was used.

• Human exposure calcualting tool in User Interface

2005

Harbor Management Support for Antwerp

28 30 32 34 36 38 40 50 60 75Forecast: NO2 [µg/m³]

vito

Public Air Pollution Forecasts for Vienna

CERC

Tourist Information System „Naturpark Scout“

• Innovative mobile information system for Black Forest

• Integration of information on UV, air quality, heat sensation

ozone concentration

Pollen Observations and Forecasts

vito1 5 10 20 30 50 100 200

Forecast: Gras Pollen [grains/m³]

FMI

• Increasing concern

• Integration of European Pollen in-situ network

• Testing of NRT capabilities

• Medical University Vienna / FMI

Compliance Monitoring Support Services

• Collaboration with agencies with AQ Directive compliance duties in order to facilitate their reporting

• Provide explanation of exceedanceof local emissions or advected dust

• Use satellite data complementary to ground-based data

• Improve upon existing desert dust services to provide daily quantitative analysis of dust (not forecasting)

• Develop a satellite-based mapping tool for PM threshold exceedances

PASDOBLE: Compliance Monitoring DS COMP 3.3

MODIS/Terra derived average winter 2008

MODIS/Terra derived averagesummer 2007

Monitoring Particulate Matter 2.5 in Italy

PASDOBLE: Compliance Monitoring DS COMP 3.3

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Monitoring Particulate Matter 2.5 in Italy

PASDOBLE: Compliance Monitoring DS COMP 3.3

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Monitoring Particulate Matter 2.5 in Italy

Bias < 2µg/m²R² = 0.72

Satellite-based monitoring of Particulate Matter

Comparison to ground-based data EMEPPM2.5 SYNAER versus EMEP daily means (7-9 / 2005)

differently averaged for grid cells of 0.5, 1, 2°.

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Zarra Payerne Ispra Birkenes

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EMEPSynaer 1.8 2Synaer 1.8 1Synaer 1.8 0.5Synaer old 2Synaer old 1Synaer old 0.5

DLR/NILU

Benefit of assimilating satellite-based PM dataComparison of 24 hour forecast for PM10 data

Without satellite data

Credit: RIUObs err

Quantification of dust loadingsUtilizing thermal charactersitics in MODIS (and SEVIRI)

Summary on Compliance Monitoring Support

• Retrieval of PM and dust loads from satellite-based measurementspossible

• Comparison with ground-based data shows improving results• Data complements the in-situ networks, especially over the ocean or

desert areas• Air quality forecasts and analyses benefit from assimilating the

satellite-based PM data

• Particulate matter from satellite-based measurements improves themonitoring and forecasting capabilites

Local Model Evaluation Support Services

• Target: city bodies and authorities

• Evaluation of local air quality (forecast) models

• Develop and demonstrate a toolbox as a service

• Set standard criteria and protocols for performance evaluation

• Standardize interfaces

• Support accountability/apportionment studies

• Test cases with 7 local city authorities

High level objectives!

What will it be like?

Methodology• Web based, structured advice and a toolbox• Evaluation of model output with respect to satellite and in situ

measurementsAspects

• basic criteria/fitness for purpose check list e.g. is model resolution consistent with application?

• scientific assessment

• model evaluation methodologies (concentrations) e.g. HARMO, FAIRMODE

• forecast accuracy criteria (metrics) e.g. AQ index, number of episodes correctly forecast etc

Difference to existing approaches

• Focus on the local and urban scale

• Focus on air quality forecasting

• Focus on evaluation of operational models(probabilistic and operational)

• Online Evaluation Support Service provides a service and consultancy

Summary

• PASODOBLE builds on the achievements of PROMOTE and MACC.

• PASODOBLE will build up a number of lean, targeted and sustainable air quality services throughout Europe to support local actors

• PASODOBLE will develop a modular, generic and harmonized serviceinfrastructure for efficient and effective implementation of (future) services and user access.

• In-situ data crucial on local scales, in particular for assimilation into and evaluation of models

• Benefit of satellite data needs to be quantified

• Continuity and sustainability of in-situ and EO data availability crucial for the success of the downstream services

www.myair-eu.org

Contact: thilo.erbertseder@dlr.de

The GMES Project PASODOBLEPASODOBLE - GoalPASODOBLE – Service DomainsPASODOBLE - ScopePASODOBLE - ConsortiumPASODOBLE - ConceptPASODOBLE - ObjectivesScale and Application of Current ProjectsRelation to MACCHealth Community Support ServicesAlerting People at RiskForecasts and Alerts: London airTEXTPublic Information and Assessment Support ServicesAir Quality Assessment for Brussels regionHarbor Management Support for AntwerpPublic Air Pollution Forecasts for ViennaTourist Information System „Naturpark Scout“Pollen Observations and ForecastsCompliance Monitoring Support Services Satellite-based monitoring of Particulate MatterComparison to ground-based data EMEPBenefit of assimilating satellite-based PM data Quantification of dust loadings Summary on Compliance Monitoring SupportLocal Model Evaluation Support ServicesWhat will it be like?Difference to existing approachesSummarywww.myair-eu.org