PASODOBLE Progress on the development of local and regional downstream services Martijn Schaap,...
-
Upload
lionel-cox -
Category
Documents
-
view
220 -
download
1
Transcript of PASODOBLE Progress on the development of local and regional downstream services Martijn Schaap,...
PASODOBLE
Progress on the development of local and regional downstream services
Martijn Schaap, Thilo Erbertseder & PASODOBLE consortiumFAIRMODE 4th plenary meeting
SMHI, June 16, 2011, Norrköping, Sweden
PASODOBLE – Service Domains
Focus on regions and cities, complementary to MACC Focus on regions and cities, complementary to MACC 35 downstream AQ services to support local actors
PASODOBLE - Goal
Develop 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 support for agencies, tourist industries and sport event organizer
• Compliance monitoring support on particulate matter for regional environmental agencies
• Local forecast model evaluation support for local authorities and city bodies
… embeded in a generic, harmonised technical infrastructure
PASODOBLE - Concept
Interface to Core and Inputs
Interface to UsersQualit
y M
anagem
ent
Mark
eti
ng a
nd
Busi
ness
Pla
nin
g
GMES Core Services
Other Inputs
Users and Market
User Needs
Use
r fe
edb
ack
cycl
e
Mark
eti
ng c
ycl
e
Health Community Support
Public Forecasting Support
Compliance Monitoring Support
Local Model Evaluation Support
Air Quality Service Cluster1
2
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. requirements including market intelligence assessment wrt to self-supportiveness and sustainability
• Promotion of use of best/good practise and harmonization
Scale and Application of Current AQ Projects
Source: FAIRMODE
Towards harmonised nesting of models
Global (Reactive and Greenhouse Gases, Aerosol)
MA
CC
Use and Application
PA
SO
DO
BLE
Qu
alit
y M
an
ag
em
ent
European / Regional
Regional
Local / Urban
Qu
alit
y M
an
ag
em
ent
Harmonised Nesting via MACC ENS and Airsheds
Intermediateairsheds at~ 7x7km resolution
Bridge gap between MACC ENS and local nests
covering most of the local/urban services within PASODOBLE
Nesting within MACC air quality ensemble
• Currently airsheds nested into single MACC ensemble members• Currently tests are being performed using the MACC ensemble
data as boundary conditions
Issues:• Currently available O3,
NO2, PM10, SO2 and CO. • More species and vertical
levels are required• Timeliness: two nesting steps
require availability of MACC data very early in morning
NO2 conc at 06:00 for July 16, 2007 EURAD-IM IC-AIRSHED forecast system
Data Extraction Tool for NestingSelect any sub domain, species, layers, dates
and directly get the data:
• OGC compliant web coverage service (WCS) to access airsheds and soon MACC ENS
• Via metadata all available species can be browsed
• Example: TNO/KNMI-LOTOS Airshed:http://wdc.dlr.de/cgi-bin/airsheds_tno
• Example: Surface NO2 for SW-Germany on 2011-04-19request=getcoverage&time
=2011-04-19&coverage=o3,no2&elevation=1&
bbox
=6.9528750,47.4687533,9.5778750,49.2187533
Data Extraction Tool for NestingSelect any sub domain, species, layers, dates
and directly get the data:
• OGC compliant web coverage service (WCS) to access airsheds and soon MACC ENS
• Via metadata all available species can be browsed
• Example: TNO/KNMI-LOTOS Airshed:http://wdc.dlr.de/cgi-bin/airsheds_tno
• Example: Surface NO2 for Germany on 2011-04-19request=getcoverage&time
=2011-04-19&coverage=o3,no2&elevation=1&
bbox=5.0,46.4,15.5,54.5
Public Information and Assessment Support Services• Improvement of existing AQ services in 25 regions and cities
• Regional harmonisation w.r.t INSPIRE and FAIRMODE guidance
• Thematic integration (physical, chemical and biological weather forecasting)
• Examples:
–Harbour Management Support Antwerp
–Road traffic management (NL)
–Olympic Games London 2012
–Tourism Information Systems
Need for considering local scales – Brussels NO2, 2005
PROMOTE IAQMACC ENS
Limit value
Need for considering local scales – Brussels NO2, 2005
Population density weighted concentration (i.e., exposure) for a 64 64 km2 sub-domain, as a function of spatial resolution
).
4 8
1x1km²:342.000 inhabitants above limit value
16x16km²:none above limit value
Compliance Monitoring Support Services• Collaboration with agencies with AQ
Directive compliance duties to facilitate their reporting
• Provide explanation of exceedance of 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
Quantification of dust loadings Utilizing thermal characteristics of MODIS/TerraDust mass loading (g/m-2) covering the Canary islands
NILU infrared camera for in-situ validation
Improved PM analysis and forecasting over the Netherlands
Sea salt at PM10 ~50 ug/m3
Venlo
Local Model Evaluation Support Service• Target: city bodies and authorities
• Develop and demonstrate a toolbox
• Set standard criteria and protocols for performance evaluation
• Promote good practice wrtFAIRMODE and AQME II
• Standardize interfaces
• Support accountability/apportionment studies
• Test cases with city authorities Sofia, Bratislava, Prague, Athens,
Thessaloniki, London, Rotterdam
• Demonstration during the next months
What will it be like?
Methodology• Web based, structured advice and a toolbox
• Evaluation of model output with respect to satellite and in situ measurements
Aspects
• basic criteria/fitness for purpose check list e.g. is model resolution consistent with application?
• scientific assessment
• model evaluation methodologies (concentrations) based on FAIRMODE guidance and AQME II
• forecast accuracy criteria (metrics) e.g. AQ index, number of episodes correctly forecast, systematic/unsystematic 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
User Interface
Goal: allow interoperable access to data in a simple and harmonized wayCentral Pasodoble system allows access to information from de-central service
providers
Collab with FP7 GENESIS
Collected information consists of:concentration mapsin-situ measurementstime series
Functionalities (WMS, WPS, CSW):Display / Comparison / Time SeriesExposure CalculationData FusionGoogle Earth FunctionalitiesOGC and INSPIRE compliance
Summary
• PASODOBLE builds on the achievements of PROMOTE and MACC and utilizes guidance from FAIRMODE
• Develops a number of targeted and sustainable air quality services throughout Europe to support local actors
• Develops a modular, generic and harmonized service infrastructure for efficient implementation of (future) services and user access
• Follows a combined approach (modelling, in-situ, remote sensing)
• Contributions to FAIRMODE on harmonised nesting, local model evaluation support, source attribution
• Service prototypes have been developed, next step validation
www.myair-eu.org
Contact: [email protected]@dlr.de
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, NORIU 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
Improving PM Forecasts by Satellite Data Assimilation
Forecast withoutsatellite data
Comparison of forecastwith gb measurementsat 10 dust outbreaks
July-Nov 2003
Schroedter-Homscheidt et al, 2010
Forecast inlcudingENVISAT/SCIA/AATSR
Need for considering local scales – Brussels NO2, 2005
Simulated annual mean NO2 concentration field for Brussels and surroundings with VITOAURORA model.
Population density expressed as number of residents per km2 for
PASDOBLE: Compliance Monitoring DS COMP 3.3 Monitoring PM 2.5 Exceedances in
Italy
2005 average PM2.5 [µg/m³] 2005 % exceedances above 25 µg/m³
PM retrieved from MODIS/Terra satellite-data
Compliance monitoring support for PM for Northrhine-Westphalia
Emission cataster (PM10) PM10 Annual Mean 2008 (ENVISAT, SYNAER)from LANUV for 2000/2008 satellite map (0.1° x 0.1 °)
< 800 800 – 24002400 – 64006400 – 32000> 32000
kg/a 16km² - raster 4x4 km2
0.0 25.0 50.0PM10 [µg/m³]
Improved PM analysis and forecasting over the Netherlands
Sea salt at PM10 ~50 ug/m3
Venlo