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8/17/2019 Quality of life information services towards a sustainable society for the atmospheric environment
1/122
Editors:
Kostas Karatzas and
Jaakko Kukkonen
COST Action ES0602
Thessaloniki, 2009
Quality of life information servicestowards a sustainable society
for the atmospheric environment
COST Action ES0602 Workshop Proceedings
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Quality of life information
services towards a sustainablesociety for the atmospheric
environment
COST Action ES0602 Workshop
Proceedings
Editors:
Kostas Karatzas and
Jaakko Kukkonen
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COST ES0602 | www.chemicalweather.eu
COST- the acronym for European Cooperation in Science and Technology- is the oldest and
widest European intergovernmental network for cooperation in research. Established by the
Ministerial Conference in November 1971, COST is presently used by the scientific communities
of 35 European countries to cooperate in common research projects supported by national
funds.
The funds provided by COST - less than 1% of the total value of the projects - support the
COST cooperation networks (COST Actions) through which, with EUR 30 million per year, more
than 30 000 European scientists are involved in research having a total value which exceeds EUR
2 billion per year. This is the financial worth of the European added value which COST achieves.
A "bottom up approach" (the initiative of launching a COST Action comes from the European
scientists themselves), "à la carte participation" (only countries interested in the Action
participate), "equality of access" (participation is open also to the scientific communities of
countries not belonging to the European Union) and "flexible structure" (easy implementation
and light management of the research initiatives) are the main characteristics of COST.
As precursor of advanced multidisciplinary research COST has a very important role for the
realization of the European Research Area (ERA) anticipating and complementing the activities of
the Framework Programmes, constituting a "bridge" towards the scientific communities of
emerging countries, increasing the mobility of researchers across Europe and fostering the
establishment of "Networks of Excellence" in many key scientific domains such as: Biomedicine
and Molecular Biosciences; Food and Agriculture; Forests, their Products and Services; Materials,
Physical and Nanosciences; Chemistry and Molecular Sciences and Technologies; Earth System
Science and Environmental Management; Information and Communication Technologies;
Transport and Urban Development; Individuals, Societies, Cultures and Health. It covers basic
and more applied research and also addresses issues of pre-normative nature or of societal
importance.
Web: http://www.cost.esf.org
Publisher: Sofia Publications S.A., Thessaloniki, Greece
Book title: COST Action ES0602 – Quality of life information services towards a sustainable
society for the atmospheric environment
Year of publication: 2009
ISBN: 978-960-6706-20-2
© COST Office, 2009
No permission to reproduce or utilise the contents of this book by any means is necessary, other
than in the case of images, diagrammes or other material from other copyright holders. In such
cases, permission of the copyright holders is required. This book may be cited as: Quality of life
information services towards a sustainable society for the atmospheric environment – COST
Action ES0602 Workshop Proceedings.
Neither the COST Office nor any person acting on its behalf is responsible for the use which might
be made of the information contained in this publication. The COST Office is not responsible for
the external websites referred to in this publication.
http://www.cost.esf.org/http://www.cost.esf.org/
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COST ES0602 | www.chemicalweather.eu
TABLE OF CONTENTS
Prefac e .................................................................................................................7
1 Atmospheric quality information for quality of life
1.1 Introduction ....................................................................................................... 9
1.2 Atmospheric quality information and its dissemination .................................. 10
1.3 Air quality information services (AQIS) ............................................................ 13
1.4 The future of AQ Information services ............................................................. 16
1.5 Conclusions ...................................................................................................... 17
1.6 References ....................................................................................................... 17
2 An overview of the COST action “Towards a European Network on
Chemical Weather Forecasting and Information Systems”
2.1 Introduction ..................................................................................................... 22
2.2 The role of this COST action with respect to other initiatives and projects ..... 26
2.3 The objectives and expected benefits of this COST action ............................... 27
2.4 Participation, working groups and organization ............................................. 29
2.5 Overview of the progress of the action ............................................................ 30
2.6 The future perspectives.................................................................................... 35
2.7 References ....................................................................................................... 36
2.8 Selected relevant web site addresses .............................................................. 37
3 An overview of WG1 : “Exchange of AQ forecasts and input data”
3.1 Introduction ..................................................................................................... 39
3.2 Other relevant activities and contributions of this action ............................... 40
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4 An overview of WG 2: “Multi -scale forecasting, multi-model ensemble,
boundary data”
4.1 Introduction ..................................................................................................... 43
4.2 Forecasting, model development and boundary data ..................................... 45
4.3 Status of the activity ........................................................................................ 46
5 An overview of WP3: “Dissemination and visualization”
5.1 The basics ........................................................................................................ 49
5.2 Work description .............................................................................................. 50
5.3 Dissemination and visualisation solutions per country. ................................... 525.4 Related publications ........................................................................................ 53
6 Delivering preventative health information to vulnerable people: Airalert
and Sussex-Air
6.1 AirAlert – empowering vulnerable people with directed information. ............ 57
6.2 Getting air pollution information out there ..................................................... 58
6.3 Air pollution forecasts to air alerts .................................................................. 58
6.4 airAlert – the air pollution warning service for vulnerable people: ................. 59
6.5 The airAlert service aims .................................................................................. 60
6.6 airAlert service information (2006 & 2007 summer services) .......................... 60
6.7 The future of intervention systems .................................................................. 63
7 Towards an international real-time data and forecast system for public
information: AIRNow-International
7.1 Introduction ..................................................................................................... 65
7.2 The air quality index ........................................................................................ 66
7.3 Airnow-international (airnow-i) ....................................................................... 68
7.4 Benefits ............................................................................................................ 69
7.5 Group on earth observations (geo) societal benefits ....................................... 70
7.6 Future endeavors ............................................................................................. 71
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7.7 References ....................................................................................................... 71
8 Near-real time Air Quality Data (Ozone web and future actions) 8.1 Background ...................................................................................................... 73
8.2 Results in 2008 ................................................................................................. 75
8.3 Next steps ........................................................................................................ 75
8.4 Relevant web-links ........................................................................................... 76
9 AIRTHESS: the Thessaloniki system for early warning air pollution
information 9.1 Introduction ..................................................................................................... 77
9.2 Air Quality monitoring in Thessaloniki ............................................................. 79
9.3 The early warning information system ............................................................ 80
9.4 References ....................................................................................................... 85
10 The Cyprus AQ Information Portal
10.1 Introduction ..................................................................................................... 8710.2 Public information and awareness .................................................................. 88
10.3 Sahara dust episodes ....................................................................................... 89
10.4 Air quality simulation and nowcasting / forecasting ....................................... 90
10.5 References ....................................................................................................... 91
Annex A .............................................................................................................. 93
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PREFACE
The chemical composition of the atmosphere has numerous impacts to the
quality of human life. Some prominent examples of these are the adverse
health effects of fine particulate matter and ozone, the irritation and cough
caused by some air pollutants and the sneezing associated to aeroallergens, the
sense of smell associated to the changes of the seasons as well as to the
exposure to unpleasant odors.
The COST Action ES0602: Towards a European Network on Chemical WeatherForecasting and Information Systems (www.chemicalweather.eu), organized in
May 2008 a workshop in Thessaloniki, Greece, devoted to Quality of life
information services towards a caring and sustainable society for the
atmospheric environment. The main purpose of the workshop was to present
and discuss existing Chemical Weather Forecasting and Information Systems,
developed both by the action participants, and by related important
organizations, such as the European Environment Agency and the U.S.
Environmental Protection Agency. The focus of the workshop was specifically
on the dissemination and the wider use of chemical weather forecastinginformation. This has been the main topic of the Working Group 3 of this COST
action.
The workshop included a number of key presentations from invited experts
from Europe and the United States. These represent regional, national and
continental solutions and services that provide information on the quality of
the atmospheric environment and chemical weather forecasts, via web portals,
mobile devices, and other ICT communication channels.
http://www.chemicalweather.eu/http://www.chemicalweather.eu/
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These presentations are included in this publication, and we wish to thank all
the authors for providing these contributions. In addition, this publication
includes three brief papers that present the objectives, content, interaction
and achievements of the working groups that are active within the COSTES0602 Action. We also wish to acknowledge the substantial contributions
towards the successful organization of this workshop by all of the participants
of this COST action. Last but not least, this publication includes an inventory of
AQ information systems in Europe, on the basis of input received by members
of the Action. We hope that based on these proceedings and the referenced
information, the readers will be able to have direct access to the current state
of the art, the latest developments and the future plans concerning Quality of
Life Information Services for the Atmospheric Environment.
This publication is supported by COST.
In Thessaloniki and Helsinki, March 2009
The editors,
Kostas Karatzas and Jaakko Kukkonen
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1 ATMOSPHERIC QUALITY INFORMATION FOR
QUALITY OF LIFE*
Kostas D. Karatzasa
Abstract
Air quality (AQ) is among the most significant and well studied concepts of
environmental quality. Yet the question of perception, interpretation and
communication of AQ information remains open, and needs to be addressed in aneffective way in order to design better abatement strategies for the protection of
human health and new information services for quality of life support. Contemporary
AQ information dissemination methods and tools can now make use of various
telecommunication channels for pull and push service provision. These may include
internet for e-mail notification, World Wide Web for detailed AQ related information,
SMS for early warning services, and other ICT oriented solutions and methods. The
present paper provides information on atmospheric quality information, information
systems, presentation and dissemination practises. The paper also draws conclusions
concerning the design and the functions of AQ information services, thus providing
input to research institutes, authorities and companies working in the area ofenvironmental information dissemination.
1.1 INTRODUCTION
Atmospheric Quality Information Services (AQIS) are electronic services that
provide access to environmental information and user-taylored environmental
communication, by combining ICT methods and communication concepts, in a
human centered way, making use of state-of-the-art atmospheric quality
observations and modelling. Such services emerged as a result of thecontemporary environmental legislation at European level, but they soon
develped a “life f their wn”, acting as utriders of quality of life,personalised, electronic information services. This has been recoglized already
a Informatics Applications and Systems Group, Dept. of Mechanical Engineering, Aristotle
University, Box 483, 54124 Thessaloniki, Greece; E-mail: [email protected]
* This article is based on Karatzas K. (2009), informing the public about atmospheric quality: air
pollution and pollen, Allergo Journal 3, in press.
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by relevant authoroties, who state that “quality f air means quality f life” (the EPA official site on air pollution in USA). Thus, AQIS combine the need for
improved well being on a personal level, with the understanding of
environmental pressures and their consequences, especially at the urban scale.They also provide with valuable information concerning the way that the
pattern of our everyday life is associated with exposure to, and consequences
of, these environmental pressures. It is becoming more and more clear that
such pressures have different spatial scales (ranging from a neighbourhood to a
regional problem), and multiple temporal scales (from the seconds of street
canyon photochemistry to the hours of duration of a pollen episode, moving
towards the days of duration of an ozone episode). The multiplicity of time and
space related scales of environmental pressures calls for information services
that are capable of addressing them; services that are also in the position to
effectively operate within scale boundaries. On the other hand, many
environmental problems are of multiple time and space scales simultaneously,
air pollution and pollen being among the most prominent ones. Although this
statement is strongly supported by scientific evidence, it has not become part
of the human understanding concerning the characteristics of the environment
that he/she lives in. Certain perceptions of environmental pressures and
problems still dominate the way that people understand and interpret quality
of life constituents like the quality of the atmospheric environment. The
present paper discusses aspects of air quality and pollen information services.
1.2 ATMOSPHERIC QUALITY INFORMATION AND ITS DISSEMINATION
It was early recognized that citizens well informed in environmental issues can
support the formulation and application of practises for the protection of the
environment and the support of sustainable development, while being able to
protect themselves from negative effects that the environment might have to
their health. Yet, what was lacking (and it still is), is a model for effective
communicating of environmental information to the public. This type of model
– guidelines, started to rise within the related legal framework, that, in its turn,tried to incorporate in the best way the scientific knowledge concerning the
impacts of AQ to human health and the environment, and introduced in our
everyday vocabulary terms like assessment, limit values, target values,
concentration and many others.
Thus, the first EU legislation concerning air quality information availability was
Dir. 82/459 later replaced by Directive 97/101, which stated that E.I. should be
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made accessible to the public via an information system set up by the European
Environment Agency (EEA), the European air quality information system
Airbase. The major change came with Directive on Ambient Air Quality
Assessment and Management (96/62/EC), which required for the developmentof action plans concerning zones within which concentrations of pollutants in
ambient air exceed limit values. These limit values were established by new
(Daughter) Directives, that replaced old ones. It is worth noting that within
these Daughter Directives, the use of computer-network services is mentioned
in order to provide to the public with the appropriate air quality information,
which should be up-to-date and should be routinely made available (Karatzas
and Moussiopoulos, 2000).
The EU’s latest amended prpsal fr a “Directive f the Eurpean Parliamentand f the Cuncil n public access t envirnmental infrmatin”, that laterbecame Dir. 2003/4/EC declares that environmental information should be
provided to the public on-line. This is in line with Article 7 of Directive 2003/4
which states that “Member States shall take the necessary measures t ensurethat public authrities rganise the envirnmental infrmatin… with a view tits active and systematic dissemination to the public, in particular by means of
cmputer telecmmunicatin and/r electrnic technlgy”.
The most important update concerning the provision of AQ information to the
general public came with the new Clean Air fr Eurpe (CAFÉ) Directive2008/50/EC. This directive includes a list of pollutants for which information
needs to be communicated, a detailed desctiption of the information per se,
and a direct reference on the necessity to make use of forecasts in order to
provide with an amount of information as detailed and as structured as the one
that will be based on observations, making it mandatory to include AQ info on
the basis of spatial and temporal dimensions of exceedances. Moreover, the
same Directive states that “the (bublic information described there in) shall bemade available free of charge by means of any easily accessible media including
the Internet or any other appropriate means of telecommunication“a
.
Yet, it is difficult to come up with a harmonised, and homogeneous (regardless
of time, space and pollutants) way to briefly and accurately describe AQ and
communicate related information, due to the complexity of the air pollution
problem per se and the variations in the way that limit values and alert
ahttp://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=CELEX:32008L0050:EN:NOT
http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=CELEX:32008L0050:EN:NOThttp://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=CELEX:32008L0050:EN:NOT
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thresholds are defined and calculated. Some examples on the basis of
“ppular” pllutants fllw:
Particulate matter. This is a category of pollutants, which is further
classified on the basis of their mean aerodynamic diameter and of their
physical state (liquid, solid, mixed). The most well known subcategory
is PM10, i.e. particulate matter of solid state and of mean diameter in
the rder f 10 μm. This is a pllutant that is directly emitted mycombustion or mechanical processes as well as indirectly formed from
gaseous pollutants such as sulphur dioxide, nitrogen oxides and
ammonia. The criterion applied for assessment in the European Union
is the daily mean concentration, and the limit value used equals
50µg/m3, not to be exceeded more than 35 times per calendar year.Another criterion exists, concerning the mean annual value, which is
40µg/m3 not to be exceeded.
Ozone (O3): This is a pollutant that is not directly emitted but produced
in the atmosphere, as the result of the change in the chemical balance
of the atmospheric air, due to the existence of other pollutants. Ozone
is a pollutant that has a very strong photochemical profile, and in
additin can “travel” with the aid f atmspheric air. The criterionapplied for assessment is the highest 8 hour mean of hourly values,
calculated as a running average; a set of 24 values should be calculatedfor each day, each one representing the 8hour average of time
intervals ending from 01:00 to 24:00 of the day of reference. The target
value is 120µg/m3 not to be exceeded more than 20 days per calendaryear. It worthies noting that WHO has just introduced a new guideline
value, equal t 100 µg/m3, a typical procedure in the domain of AQM,resulting from updated scientific evidence concerning consequences of
polluted air to man and the ecosystem.
Pllen: A persn’s reactin t pllen varies, is unique fr each citizen, isbased n many different factrs including an individual’s sensitivity tparticular pollen, amount of pollen an individual is exposed to, as well
as weather (e.g. wind, temperature etc.). On this basis, no limit values
for pollen exist, and all the pollen levels used are based on pollen
counts.
The above examples demonstrate the differences in the way that an
atmospheric pollutant affects ambient air quality, and should be taken into
account in the design of any AQ information and communication method. On
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this basis, and following the mandates of the legal framework, the
prerequisites of the information content and current practice (Karatzas, et al.,
2005), the information to be made available to the public should consist of (a)
spatial and temporal air quality and emission data (for both pollen and airpollutants), (b) air quality forecasts (c) measures and advices to decrease
personal exposure, (d) guidelines for sensitive parts of the population and
administrative details.
1.3 AIR QUALITY INFORMATION SERVICES (AQIS)
Information services for the quality of the atmospheric environment should, by
definition, address information needs of citizens on the basis of effective
communication methods. Those two are the key points for the design of anyEnvironmental Quality Information Service (EQIS), and more specifically
Information needs. Those are defined by the way that the citizen
envisages him/herself in relation to the physical environment, the
interactions that he or she has or believes to have with such an
environment and the impacts of the quality of the environment to
his/her life, family, and personal ethical values that constitute quality
of life. It is clear that these issues are very much influenced by the
subjective view of each individual and by complicated (and in many
cases uncertain) science that is involved in the cause-effect circle of
environmental quality and well (sustainable) being. This means that a
successful AQIS should be able to incorporate flexible and adaptable
content, of varying scientific detail and of multiple graphical-verbal-
multimedia representations. In addition, spatial and temporal
characteristics of the information should be provided on the basis of
service dimensions that will be able to address them (i.e. geo-
references services for spatial data, time-dependent services for
temporal variation of information, etc).
Communication methods used. The effective communication of a
message of informative nature that may escalate to a health hazard
warning is the key for the success of every AQIS. As there are
numerous publications on communication in general and on the
communication of scientific content, it is better to focus on findings
related to the atmospheric environment and specifically air quality. A
first step is to identify the user (target group), by responding to
questions like who is the user of the service, basic family and personal
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background in relation to environment, health and media technologies,
scenarios of information usage, everyday life patterns, etc. Then, the
information content should be addressed. According to AIRNET
Thematic Network on Air Pollution and Health(http://airnet.iras.uu.nl/), “stakehlders prefer infrmatin t bepresented in short overviews using non-specialist language”. Inaddition, one of the findings of the airALERT that provides SMS-based
air quality related health warnings in Sussex, U.K., is that people would
like to receive health warning that advice them on the basis of their
personal health condition in relation to atmospheric pollution,
especially if they belong to the so called sensitive parts of the
population (http://www.sussex-air.net/airalert_seminar.html).
Concerning AQIS, these issues have been addressed in a comprehensive and
systematic way in the frame of the APNEE and APNEE-TU projects
(www.apnee.org), as it is evident by the number of publications that the
project produced, the impact it had to the research communitya and by the
number of off springs that it created. APNEE established a multi-channel
information service platform for the dissemination and presentation of air
quality information. The communication path made use of various
telecommunication channels for pull and push service provision, indulging
internet for e-mail notification, world wide web for detailed pollution relatedinformation, SMS for early warning services, WAP and J2ME applications in
mobiles and PDAs for enhanced graphical and informative content on the
move, street panels (VMS) for covering key parts of the urban web and voice
services for personal communication support. Moreover, APNEE provided
location based services, and supported personalisation of the information. The
project results have been documented in various publications (Johansen et al.,
2001; Bohler et al., 2002; Karatzas et al., 2004; Peinel and Rose, 2004; Karatzas
et al, 2005). Concerning the content of such an information service, it should be
noted that a recently published survey on real time AQ information for asthmapatients (Bush et al., 2006), showed that the respondents would like to receive
information related to monitoring and self-management of asthma, including
avoidance measurements and prevention.
a Was presented by Commissioner Mrs Reding as one of the three success stories out of the total
of ICT projects under the 5th
FP.
http://airnet.iras.uu.nl/http://www.sussex-air.net/airalert_seminar.htmlhttp://www.apnee.org/http://www.apnee.org/http://www.sussex-air.net/airalert_seminar.htmlhttp://airnet.iras.uu.nl/
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Pollen information systems may be considered as a part of AQIS. Although
there are not so many pollen information systems, that are operational or
under test, those existing make use of internet technologies and SMS
messaging for communicating information and provide warnings to therecipients. It is interesting to note that such systems are considered in many
cases as part of the official AQ information portal of city or other authorities.
Thus for example, the city of Albuquerque in New Mexico, USA, provides with
detailed pollen information as part of the AQ information pages
(http://www.cabq.gov/airquality/index.html). In addition to that, a European
site for the collection and provision of pollen information is
www.polleninfo.org, a portal created and maintained by Dr. Siegfried Jaeger.
Recently, a new COST action on the assessment of production, release,
distribution and health impact of allergenic pollen in Europe has initiated its
activities (www.eupollen.eu). Yet, it should be noted that some dedicated sites
for the forecasting and information provision of pollen levels already existed
some years ago. Some examples follow:
Dynamic on-line forecasting system for cedar pollen in Kanto, Japan
(http://www.kafun-info.jp/). A meteorological forecast model is being
fed with emission data coming from a model and observations, for the
provision of pollen concentration levels. Information is being made
available via the web, while in the first years of operation, wap accesswas also being tested and used (Delaunay et al., 2002)
Atmospheric concentrations of allergenic pollen in Europe. A project of
the Finnish Academy of Sciences, that run from 2005-2007, and
developed an integrated modelling system for simulating and
forecasting in time the pollen emissions and transport on an European
scale. The results for birch pollen are now available via the internet
(http://pollen.fmi.fi/pics/index_2008.html)
The National Pollen and Aerobiology Research Unit at the University of
Worcester provides, with the sponsorship of a major pharmaceutical
company, pollen forecasts for UK, available via the internet and via
SMS (http://www.zirtek.co.uk/Home.aspx)
In all these cases, a meteorological model is being combined with an air
dispersion model, that takes input from pollen emission models (in some cases
in combination with pollen emission observations), for the calculation of grains
of pollen per cubic metre on a mean daily basis.
http://www.cabq.gov/airquality/index.htmlhttp://www.polleninfo.org/http://www.eupollen.eu/http://www.kafun-info.jp/http://pollen.fmi.fi/pics/index_2008.htmlhttp://www.zirtek.co.uk/Home.aspxhttp://www.zirtek.co.uk/Home.aspxhttp://pollen.fmi.fi/pics/index_2008.htmlhttp://www.kafun-info.jp/http://www.eupollen.eu/http://www.polleninfo.org/http://www.cabq.gov/airquality/index.html
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1.4 THE FUTURE OF AQ INFORMATION SERVICES
It has already been suggested that the usage of telecommunication networks
and mdern mbile devices can help in the “transfrmatin” f the citizenfrom a passive receiver of information to an actor (Karatzas, 2005). It has alsobeen suggested that the citizen should be able to electronically annotate (tag)
information related to the quality of the environment, and post it to a digital
community, for others to use, thus formulating on an individual level the
content of the environmental information service (Karatzas, 2006). These ideas
have independently been pushed much further in the frame of various research
projects, like the PEIR project. The Personal Environmental Impact Report
(PEIR) project has developed an online tool that allows people to use their
mobile phones in order to explore and share their impact towards theenvironment and the way that the environment has an impact on them
(http://peir.cens.ucla.edu/). PEIR is based on participatory or citizen-initiated
sensing, and data commons (Cuff et al., 2008). It allows citizens to annotate,
photograph and record environmental pressures, post them via wireless
communication to a digital media (map-based) that is being made available for
the whole community to use and explore. In addition, mathematical models
make use of these data plus background data in order to provide with detailed
and as accurate as possible, environmental quality information for specific
areas of interest. The aspect of the digital city and sustainability informationservices has been extended and enriched via the Ubiquitous Sustainability
concept (Paulos et. al., 2008) and it’s relatinship t envirnmental quality andsustainability, that also incorporates the usage of micro-sensors, together with
mobile phones, for advanced environmental quality monitoring (IEEE Spectrum,
2009). These projects and concepts have already been tested for the air quality
domain, and are expected to act as paradigms for the future environmental
information services. Such services will be digital, yet working on an ambient
environment, making use of Human-Computer Interaction developments, and
allowing for participatory environmental surveillance and actions, especially inthe way that digital social media are able to support. In addition, small, mobile
sensors, are already available to monitor environmental pressures in the
vicinity of patterns of urban living and mobility (http://bioinf.ncl.ac.uk/
message/). In this respect, chemicalweather information may play an important
role for the environmental information service personalization on the fly,
taking into account georeferencing, and the needs for adaptation to individual
environmental pressures and health problems. Personalised exposure and
“dsage” may be supprted by chemicalweather services and devices attached
http://peir.cens.ucla.edu/http://bioinf.ncl.ac.uk/%20message/http://bioinf.ncl.ac.uk/%20message/http://bioinf.ncl.ac.uk/%20message/http://bioinf.ncl.ac.uk/%20message/http://bioinf.ncl.ac.uk/%20message/http://peir.cens.ucla.edu/
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to mobile phones, thus qualtifying quality of life on an indivifual level, while
also provide with information of alternatives of urban life and mobility
patterns. Such services may thus support quality of life and may also have a
quantitative effect on life expectancy, if they are able to result in the reductionin exposure to ambient air pollution (like in the case of fine particulates, Pope
et al., 2009).
1.5 CONCLUSIONS
Pollen information has gained its share as part of the air quality information
that authorities should provide to the public, timely, or even in advance. On
this basis, there is a number of AQIS that have been developed as a response to
the legal mandate to provide environmental information to the citizens and thedecision makers, and as a consequence of the scientific and technological
developments in the fields of environmental sciences and ICT, respectively.
Related literature has been accumulated, suggesting that this is a scientific field
maturing fast, with considerable consequences in public administration, citizen
participation in decision making and awareness and behaviour drives towards a
more sustainable society. Personalisation of these services, in combination with
the vast usage of internet and mobile phones in EU, is expected to lead to new
types of (smarter) AQIS that will allow for assessment of quality of life on a
personal level based on mobility patterns and urban life characteristics, andtaking into account individual sensitisation and exposure.
1.6 REFERENCES
Anderson HR, Ponce de Leon A, Bland JM, Bower JS, Emberlin J., Strachan DP. Air
pollution, pollens, and daily admissions for asthma in London 1987-92. Thorax 1998;
53, 842 –848.
Bohler T, Karatzas K, Peinel G, Rose Th. San-Jose R. Providing multi-modal access to
environmental data-customisable information services for disseminating urban airquality information in APNEE. Computers, Environment and Urban Systems 2002;
26(1): 39-61
Bush A, Karagiannis G, Stamatopoulos V. Kotis T. Public perception of realtime
information services for environmental monitoring and management of asthma.
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Cuff D., Hansen M. and Kang J. Urban Sensing: out of the woods, Communications of
the ACM 2008; 51(3):24-33.
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Cariñans P, Galán C, Alcázar P. Dmínguez E. An Analysis f slid particulate mattersuspended in the air f CórdbA, suthweastern Spain. Ann Agric Envirn Med2007; 14: 219-224.
Chehregani A, Moin AMM, Gholami M, Shariatzadeh MA, Nassiri H. Increasing allergypotency of Zinnia pollen grains in polluted areas. Ecotoxicology and Environmental
Safety 2004;58: 267 –272.
D’amat G., Liccardi G, D’amat M, Cazzila M. The role of outdoor air pollution andclimatic changes on the rising trends in respiratory allergy. Respiratory Medicine
2001; 95: 606 –611
Delaunay J.J., Fedra K., Kubat M. Cedar pollen forecasting in the Kanto region. Archives
of Complex Environmental Studies 2002;14: 34: 59-64, available via http://lelab.t.u-
tokyo.ac.jp/~jean/research/researchProjects/pollen/PollenInformationSystem_ICCE
F2002.pdf (accessed 18.03.2009).
Endregard G, Karatzas K, Skaanes BI, Fløisand I, Larssen S. EEA air quality webdissemination solution - recommendations for further development, ETC/ACC
Technical Paper 2006/9. 2007; Report prepared for the European Environment
Agency, http://air-climate.eionet.europa.eu/docs/ETCACC_TechnPaper_2006_9_
AQ_web_dessim.pdf (accessed 18.03.2009).
Holmen A, Blomqvist J, Frindberg H, Johnelius Y, Eriksson NE Henricsn KÅ , HerrströmP, Högstedt B. Frequency f patients with acute asthma in relatin t zne,nitrogen dioxide, other pollutants of ambient air and meteorological observations.
Int Arch Occup Environ Health 1996; 69: 317-322.IEEE Spectrum. Cell phones for Science, p. 12, Feb. 2009.
Johansen PH, Karatzas K, Lindberg JE, Peinel G, Rose Th. Citizen-centred information
dissemination on multimodal information channels and GIS. Proceedings of the
“Sustainability in the Infrmatin Sciety”-15th International Symposium forEnvironmental Protection, L. Hilty and P. Gilgen eds., Part 1: Impacts and
Applications. 2001; 271-278. ISBN 3-89518-370-9.
Karatzas K. A quality-of-urban-life ontology for human centric, environmental
information services, Presentation at the COST C21- Towntology meeting on WG1:
Ontologies and Information Systems and Information Systems (available viahttp://www.towntology.net/Meetings/0512-BXL/presentations/
C21_towntology_karatzas_brussels.pdf), Brussels, 12-13 Dec. 2005 (accessed
18.03.2009)
Karatzas K. Environmental Information Service Web, available via
ftp://ftp.cordis.europa.eu/pub/ist/docs/environment/karatzas_en.pdf (accessed
18.03.2009): meeting on Information and Communication Technologies for the
Management of Natural Resources and Environmental Risks, 21.03.2006
http://lelab.t.u-tokyo.ac.jp/~jean/research/researchProjects/pollen/PollenInformationSystem_ICCEF2002.pdfhttp://lelab.t.u-tokyo.ac.jp/~jean/research/researchProjects/pollen/PollenInformationSystem_ICCEF2002.pdfhttp://lelab.t.u-tokyo.ac.jp/~jean/research/researchProjects/pollen/PollenInformationSystem_ICCEF2002.pdfhttp://air-climate.eionet.europa.eu/docs/ETCACC_TechnPaper_2006_9_%20AQ_web_dessim.pdfhttp://air-climate.eionet.europa.eu/docs/ETCACC_TechnPaper_2006_9_%20AQ_web_dessim.pdfhttp://www.towntology.net/Meetings/0512-BXL/presentations/%20C21_towntology_karatzas_brussels.pdfhttp://www.towntology.net/Meetings/0512-BXL/presentations/%20C21_towntology_karatzas_brussels.pdfftp://ftp.cordis.europa.eu/pub/ist/docs/environment/karatzas_en.pdfftp://ftp.cordis.europa.eu/pub/ist/docs/environment/karatzas_en.pdfhttp://www.towntology.net/Meetings/0512-BXL/presentations/%20C21_towntology_karatzas_brussels.pdfhttp://www.towntology.net/Meetings/0512-BXL/presentations/%20C21_towntology_karatzas_brussels.pdfhttp://air-climate.eionet.europa.eu/docs/ETCACC_TechnPaper_2006_9_%20AQ_web_dessim.pdfhttp://air-climate.eionet.europa.eu/docs/ETCACC_TechnPaper_2006_9_%20AQ_web_dessim.pdfhttp://lelab.t.u-tokyo.ac.jp/~jean/research/researchProjects/pollen/PollenInformationSystem_ICCEF2002.pdfhttp://lelab.t.u-tokyo.ac.jp/~jean/research/researchProjects/pollen/PollenInformationSystem_ICCEF2002.pdfhttp://lelab.t.u-tokyo.ac.jp/~jean/research/researchProjects/pollen/PollenInformationSystem_ICCEF2002.pdf
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Karatzas K., Endregard G, Fløisand I. Citizen-oriented environmental informationservices: usage and impact mdelling. Prceedings f “Infrmatics frEnvironmental Protection- Networking Environmental Information”-19th
International EnviroInfo Conference, Brno, Czech Republic. 2005; 872-878Karatzas K, Moussiopoulos N. Urban air quality management and information systems
in Europe: legal framework and information access. Journal of Environmental
Assessment Policy and Management. 2002; 2: 263-272
Karatzas K, Nikolaou K. Moussiopoulos N. Timely and valid air quality information: The
APNEE-TU project. Fresenius Environmental Bulletin. 2004; 13(9): 874-878
Karatzas K. (2007) Session on Environmental Engineering Education and Presentation of
Environmental Information to Non Scientists, ISESS2007, http://www.isess.org/
Paulos E., Foth M., Satchell Ch., Kim Y., Dourish P. Hee-jeong Choi J. Ubiquitous
Sustainability: Citizen Science & Activism, Workshop at UbiComp, September 2008,
paper available via http://www.paulos.net/papers/2008/Ubiquitous%
20Sustainability%20(UbiComp%202008).pdf (accessed 18.03.2009)
Peinel G, Rose Th. Dissemination of Air Quality Information: Lessons Learned in
European Field Trials, EnviroInfo 2004, Environmental Communication in the
Information Society, 18th International Conference "Informatics for Environmental
Protection", CERN, Geneva, Switzerland, October 21-23, 2004
http://www.apnee.org/documents/papers/Rose_Peinel_EnviroInfo2004_APNEE-
TU.pdf (accessed 18.03.2009)
Pope CA 3rd, Ezzati M, Dockery DW. Fine-particulate air pollution and life expectancy inthe United States. N Engl J Med. 2009 Jan 22; 360(4):413-5.
Ritz T, Kullowatz A, Kanniess F, Dahme B, Magnussen H. Perceived triggers of asthma:
Evaluation of a German version of the Asthma Trigger Inventory. Respiratory
Medicine 2008;102: 390 –398.
Trausan-Matu S., Karatzas K., Chiru C. Environmental information perception, analysis
and communication with the aid of natural language processing, Proceedings of the
21st International Conference on Informatics for Environmental Protection -
EnvirInf2007, (Hryniewicz O., Studzioski J. and Rmaniuk M., eds.), Shaker Verlag,
Aachen, ISBN 978-3-8322-6397-3. 2007; Vol 1: 299-306.
http://www.isess.org/http://www.paulos.net/papers/2008/Ubiquitous%25%2020Sustainability%20(UbiComp%202008).pdfhttp://www.paulos.net/papers/2008/Ubiquitous%25%2020Sustainability%20(UbiComp%202008).pdfhttp://www.apnee.org/documents/papers/Rose_Peinel_EnviroInfo2004_APNEE-TU.pdfhttp://www.apnee.org/documents/papers/Rose_Peinel_EnviroInfo2004_APNEE-TU.pdfhttp://www.apnee.org/documents/papers/Rose_Peinel_EnviroInfo2004_APNEE-TU.pdfhttp://www.apnee.org/documents/papers/Rose_Peinel_EnviroInfo2004_APNEE-TU.pdfhttp://www.paulos.net/papers/2008/Ubiquitous%25%2020Sustainability%20(UbiComp%202008).pdfhttp://www.paulos.net/papers/2008/Ubiquitous%25%2020Sustainability%20(UbiComp%202008).pdfhttp://www.paulos.net/papers/2008/Ubiquitous%25%2020Sustainability%20(UbiComp%202008).pdfhttp://www.isess.org/
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2 AN OVERVIEW OF THE COST ACTION “TOWARDS A
EUROPEAN NETWORK ON CHEMICAL WEATHERFORECASTING AND INFORMATION SYSTEMS”
Jaakko Kukkonena, Kostas Karatzas
b, Kjetil Tørsethc, Aasmund Fahre Vikc,Thomas Klein
d, Rbert San Jsée, Taru Balka and Mikhail Sofieva
Abstract
This action provides a forum for benchmarking approaches and practices in dataexchange and multi-model capabilities for chemical weather (CW) forecasting and near
real-time (NRT) information systems in Europe. It examines existing solutions of CW
forecast and information systems, integrating activities at national and international
levels, bringing together key players from Europe and abroad, to enhance synergies
and collaboration between scientific bodies. The action includes approximately 30
participants from 19 countries, and its duration is from 2007 to 2011
(http://www.chemicalweather.eu/). Major efforts have been dedicated in other actions
and projects to the development of infrastructures for data flow. We have therefore
aimed for collaboration with ongoing actions towards developing near real time
exchange of input data for AQ forecasting. We have collected information on the
operational models in the participating countries in a structured format. We have also
constructed a European air quality forecasting portal that will include links to all
available chemical weather forecasting systems in Europe in a user-friendly graphical
format. We have joined the case studies that have been organized within COST-728, in
order to inter-compare and evaluate the models against experimental data. Work is
also in progress in order to construct an operational model forecasting ensemble. A
representative set of regional background stations have been selected from the
participating countries, and the operational forecasts for this set of sites will be inter-
compared and evaluated. The Action fosters and proactively supports the exchange of
information, experience and best practices on various approaches to disseminate
a Finnish Meteorological Institute, Erik Palmenin aukio 1, P.O.Box 503, FI-00101 Helsinki
b Aristotle University, Dept. of Mechanical Engineering, Box 483, GR-54124 Thessaloniki, Greece
c Norwegian Institute for Air Research (NILU), Dept. Atmospheric and Climate Research, P.O Box
100, N-2027 Kjeller d Swedish Meterlgical and Hydrlgical Institute, Flkbrgsvägen 1, SE-601 76 Nrrköping
e Computer Science School, Technical University of Madrid, Campus de Montegancedo - Boadilla
del Monte-28660, Madrid, Spain
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information on the internet and other media. It explicitly supports efficient
environmental information services for Europe with emphasis on quality of life for
European citizens, in line with ongoing initiatives such as Global Monitoring for
Environment and Security (GMES).
2.1 INTRODUCTION
It would be cost-effective and beneficial for citizens, society and decision-
makers that national chemical weather forecast and information systems
would be harmonized across Europe. Moreover, the fundamental rights for
free mobility and access to infrastructures and services for every European
citizen require that information concerning the quality of the environment
should be available continuously and similarly to all. This action provides aforum for the evaluation and assessment of modelling and information systems
for chemical weather and air quality forecasting systems in Europe. This Action
supports and complements several ongoing projects and other initiatives
towards the same goals. In particular, it serves as a platform for the
information exchange between the meteorological services, environmental
agencies, and international initiatives.
Current legislation of the European Union (EU) (e.g., the ozone daughter
directive 2002/3/EC) requires (i) informing the public on air quality, (ii)
assessing air pollutant concentrations in Member States, and indicatingexceedances of limit and target values, (iii) forecasting future potential
exceedances and (iv) assessing possible emergency measures to abate
exceedances using modelling tools. AQ modelling methods include statistical,
deterministic and hybrid systems.
Methods using a combination of weather forecasting and atmospheric
chemistry simulations are here referred to as Chemical Weather (CW)
forecasting. The definition of chemical weather (CW) extends the theme of air
quality (AQ) with the integration of themes such as, e.g., meteorology and
allergenic pollen. CW forecasting uses a combination of meteorological
forecasting and atmospheric chemistry simulations in order to generate
information relevant to citizens, decision makers and the scientific community.
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Figure 2.1: Countries participating in the COST ES0602 action (in blue). The action includes
approximately 30 participants from 19 countries, and its duration is from 2007 to 2011
(http://www.chemicalweather.eu/). In addition, Belgium has recently been accepted as a
member country, and Russia has been included as a permanent non-COST member country.
Users of AQ forecasts include European citizens, public authorities and agencies
in charge of environmental impact assessments and public health. AQ
forecasting requires access to meteorological and air pollutant concentration
fields and measurements (both in situ and remote-sensing), emission
inventories and physiographic data. Existing national AQ Forecast and
Infrmatin Systems (AQFIS’s) have specific characteristics, address variusspatial and temporal scales, and consequently, have different strengths and
limitations.
National Meteorological Services (NMS) have a strong expertise on handlingand disseminating large amounts of data in near-real-time, data assimilation
and numerical forecasting model systems. The European Environment Agency
(EEA) has established the European Environment Information and Observation
Network (EIONET, http://air-climate.eionet.eu.int/) for environmental
infrmatin transfer, and the “Ozneweb” infrmatin system as a piltdemonstrating seamless, near real time (NRT), air quality information access
and dissemination. There are several institutes and organisations that are
Israel
http://www.chemicalweather.eu/http://www.chemicalweather.eu/http://www.chemicalweather.eu/http://air-climate.eionet.eu.int/http://air-climate.eionet.eu.int/http://www.chemicalweather.eu/
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responsible on national level for operating air quality monitoring networks,
managing concentrations data and providing air quality assessments. These
include air quality national research centres (AQ-NRC), the national
environmental agencies (NEA), ministries or national-regional authoritiesresponsible for environmental issues, universities, research centres, and the
NMS’s. They als have the respnsibility f infrming the public n current aswell as on forecasted air pollution situation, and taking subsequent measures in
case of exceedances.
There are currently numerous local, regional and continental-scale AQFIS’s inEurope. Some prominent examples are the following: the EURAD modelling
system in Germany (Elbern et al. 2007, http://www.eurad.uni-
koeln.de/index_e.html), the PREVAIR consortium in France (Menut et al. 2005,
http://www.prevair.org/en/index.html), the “Yur Air-” system in England andWales (http://www.cerc.co.uk/YourAir), the Air Quality and Emergency
Modelling System SILAM (Sofiev et al. 2006, http://silam.fmi.fi), the air quality
forecasting and simulation system MM5-CHIMERE (Vautard et al. 2005,
http://www.mmm.ucar.edu/mm5/,
http://www.lmd.polytechnique.fr/chimere/), the AIRTHESS air quality
information, forecasting and early warning system in the Greater Thessaloniki
Area (http://www.airthess.gr), the European Operational Air Quality
Forecasting system EOAQF (http://verde.lma.fi.upm.es/cmaq_eu/) in Spain,and the MATCH AQ Forecast and Information System (MAQS) in Sweden
(Engardt et al. 2005, http://www.airviro.smhi.se/MATCH-AQ/maqs). However,
any single modelling approach bears inherent uncertainties; the higher-
resolution domains also commonly cover only a limited area (characteristically
one or a few European countries). This action aims to benchmark, evaluate and
combine these modelling systems, in order to provide accurate and reliable
high-resolution AQ forecasts.
However, there are various institutional, scientific and practical obstacles for an
overall seamless exchange of data and forecast information dissemination. AEuropean network of CW forecasting and information systems (ENCWF) will
require a high level of coordination between various participants in NRT. In
view of the substantial number of national arrangements and actors, this action
is aimed to start a process that will aim at common agreements, protocols and
procedures in order to remove these obstacles. A state-of-the-art ENCWF
integrating data collection and processing, forecasting, as well as management,
display and dissemination of CW forecasts using GTS (Global
http://www.eurad.uni-koeln.de/index_e.htmlhttp://www.eurad.uni-koeln.de/index_e.htmlhttp://www.prevair.org/en/index.htmlhttp://www.prevair.org/en/index.htmlhttp://www.cerc.co.uk/YourAirhttp://silam.fmi.fi/http://www.mmm.ucar.edu/mm5/http://www.lmd.polytechnique.fr/chimere/http://www.airthess.gr/http://verde.lma.fi.upm.es/cmaq_eu/http://www.airviro.smhi.se/MATCH-AQ/maqshttp://www.airviro.smhi.se/MATCH-AQ/maqshttp://verde.lma.fi.upm.es/cmaq_eu/http://www.airthess.gr/http://www.lmd.polytechnique.fr/chimere/http://www.mmm.ucar.edu/mm5/http://silam.fmi.fi/http://www.cerc.co.uk/YourAirhttp://www.prevair.org/en/index.htmlhttp://www.eurad.uni-koeln.de/index_e.htmlhttp://www.eurad.uni-koeln.de/index_e.html
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Telecommunication Systema, and internet possibilities would have a high
impact. One promising example of such a system is AIRNow
(http://airnow.gov/) that has been operational in the USA and Canada under
EPA for several years.
Within the framework outlined above, it is the explicit aim of this COST Action
to provide an integrated, neutral and growing platform to bridge any potential
gaps between the scientific community (e.g. universities), providers of
infrastructure (such as the NMS’s), envirnmental agencies, the bservatinand the modelling community and the user community. The Action has three
major fields of work which all aim at a better integration and exploration of the
existing assets by means of fostering improved networking between the
identified institutions and initiatives.
The first field of work comprises the analysis of existing dataflows and
information exchange as well as the suggestion of improvements towards an
improved pan-European integration with regard to both AQ measurements and
model results. The second area of work focuses on the exploration of the
added value of multi-model approaches for the forecasting of AQ. There are
two prominent examples of ensemble dispersion modelling within (i) the field
of emergency preparedness (FP5-project ENSEMBLE, Hewitt 2005, ensembles-
eu.metoffice.com) and (ii) the EU-ESA GMES (Global Monitoring for
Environment and Security, COM(2008)748, http://www.europa.eu.int/comm/space/gmes/index_en.htm) initiative, i.e., GEMS (Global Earth-system
Monitoring using Space and in-situ data, Kaiser et al. 2006,
http://gems.ecmwf.int/). These show that multi-model approaches are a good
way to enrich the information provided by the individual deterministic models
with probabilistic information, e.g. the range of uncertainties.
In particular, within the GEMS project, analyses and 72h forecasts from ten
state-of-the-art regional air quality models (BOLCHEM, CAC, CHIMERE, EMEP,
EURAD, MATCH, MOCAGE, MM5-UAMV, NAME and SILAM) are performed on a
quasi-operational daily basis (Peuch et al., 2008). The models rely on ECMWF
operational meteorological forecasts as well as on GEMS global chemical
weather data. They all consider the same high-resolution (~ 8 km)
anthropogenic and biogenic emissions inventories. The third field of work of this COST Action is about the dissemination of AQ
information to the user community. The importance of providing user-tailored
a
http://www.wmo.ch/pages/prog/www/TEM/XGTS/gts.html
http://airnow.gov/http://ensembles-eu.metoffice.com/http://ensembles-eu.metoffice.com/http://www.europa.eu.int/comm/%20space/gmes/index_en.htmhttp://www.europa.eu.int/comm/%20space/gmes/index_en.htmhttp://gems.ecmwf.int/http://gems.ecmwf.int/http://www.wmo.ch/pages/prog/www/TEM/XGTS/gts.htmlhttp://www.wmo.ch/pages/prog/www/TEM/XGTS/gts.htmlhttp://www.wmo.ch/pages/prog/www/TEM/XGTS/gts.htmlhttp://www.wmo.ch/pages/prog/www/TEM/XGTS/gts.htmlhttp://gems.ecmwf.int/http://www.europa.eu.int/comm/%20space/gmes/index_en.htmhttp://www.europa.eu.int/comm/%20space/gmes/index_en.htmhttp://www.europa.eu.int/comm/%20space/gmes/index_en.htmhttp://ensembles-eu.metoffice.com/http://ensembles-eu.metoffice.com/http://airnow.gov/
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information, i.e. the required content the appropriate presentation form
through the most commonly used communication channels has been outlined
by, e.g., the APNEE FP5-project (www.apnee.org). In particular, the Action has
constructed a preliminary version of a European AQ forecasting portal; thisportal has integrated information content in principle from all publicly available
operational AQ forecasting services in Europe.
2.2 THE ROLE OF THIS COST ACTION WITH RESPECT TO OTHER
INITIATIVES AND PROJECTS
There are prominent ongoing European projects in this area, in particular
within the EU-ESA GMES, such as GEMS and PROMOTE (PROtocol MOniToring
for the GMES Service Element, http://www.gse-promote.org/, Poupkou et al.
2006). The GMES Atmospheric Services focus on operational monitoring and
forecasting of atmospheric composition, dynamics and thermodynamics
through advanced exploitation of satellite and in-situ data, on a European,
national and local level.
In particular, within the GEMS project, the sub-project on regional air quality
has established a coordinated air quality forecasting system linked to a central
site at the ECMWF (http://www.ecmwf.int/) that includes 10 models from 9
countries. An example of a small-scale network of a few operational air qualityservices has been built within the first and second stages of the PROMOTE
project. These projects, however, have a closed membership and are
development-oriented; these cannot therefore involve all stake-holders in a
comprehensive way, such as the national environmental agencies. This COST
action aims to provide a forum with a broader membership across the different
communities, in order to complement and extend these projects.
Figure 2.2 is a sketch illustrating the situation in Europe, with the delineation of
the domains of activities of the GEMS and PROMOTE projects and of the COST
ES0602 Action. Clearly, currently there are also several other related EU-fundedprojects, such as MEGAPOLI (Baklanov et al. 2008), CITYZEN, EUCAARI
(http://www.atm.helsinki.fi/eucaari/) and EUSAAR (http://www.eusaar.net/).
Another relevant activity is the Global Earth Observation and Monitoring
(GEOmon) project (www.geomon.eu), the goal of which is to sustain and
analyze European ground based observations of atmospheric composition and
their complementarity with satellite observations. It aims to lay the foundation
for a European contribution to GEOSS (Global Earth Observation System of
http://www.apnee.org/http://www.gse-promote.org/http://www.ecmwf.int/http://www.atm.helsinki.fi/eucaari/http://www.eusaar.net/http://www.geomon.eu/http://www.geomon.eu/http://www.eusaar.net/http://www.atm.helsinki.fi/eucaari/http://www.ecmwf.int/http://www.gse-promote.org/http://www.apnee.org/
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Systems, http://www.epa.gov/geoss/) and to optimize the European strategy
of environmental monitoring in the field of atmospheric composition
measurements. Key deliverables include the provision of access to data
through a common data centre (one-stop shop for atmospheric compositiondata), and the dissemination of data and data products through user friendly
tools.
Figure 2.2: Illustration of the current situation in Europe: European Environmental Agency
(EEA), European Centre for Medium-Range Weather Forecasts (ECMWF) and National Met
Services (NMS), National Environmental Agencies (NEA), the GEMS and PROMOTE projects and
COST ES0602.
2.3 THE OBJECTIVES AND EXPECTED BENEFITS OF THIS COST ACTION
The objective of the COST ES0602 action is to set up a forum for benchmarking,
harmonising and developing approaches, practices and protocols in forecast
data exchange and multi-model capabilities towards a chemical weather
fore