on the sensitivity of eta model to orography parameterization · 2008. 11. 12. · against flight...
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VERIFICATION OF THE VERIFICATION OF THE AIR QUALITY MODEL AIR QUALITY MODEL
AGAINST FLIGHT AGAINST FLIGHT MEASUREMENT OF SHIP MEASUREMENT OF SHIP
PLUMES (CORRIDORS)PLUMES (CORRIDORS)
Charles University in Prague Faculty of Mathematics and Physics
Dept. of Meteorology and Environment Protection V Holesovickach 2, Prague 8,
Czech Republic
Tomáš Halenka, Peter HuszárTomáš Halenka, Peter Huszár
11 Regular associate of the Abdus Salam ICTP, Trieste, Italy Regular associate of the Abdus Salam ICTP, Trieste, Italy
E-mail: [email protected]
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EC FPEC FP6 6 Integrated ProjectIntegrated Project
Coordinated by Robert SausenCoordinated by Robert Sausen
DLR-Institut für Physik der AtmosphäreDLR-Institut für Physik der Atmosphäre
Oberpfaffenhofen, GermanyOberpfaffenhofen, Germany
http://www.pa.op.dlr.de/quantify/http://www.pa.op.dlr.de/quantify/
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Chain of ImpactsChain of Impacts
Metrics
simple measuresto quantify impacts
Emission Inventories
temporal evolution, 3D distribution
Regional Dilution and Processing
effective emissions
Large-scale Chemistry Effects
atmospheric composition
Cloud Processes
cloud cover and optical properties
Radiative Forcing
temporal evolution, 2D distribution
Climate Change
new climatic state
Climate Impacts
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Quantify
Activity 1
Emission Inventories
Activity 2
Dilution & Processes
Activity 3
Large-scale Chemistry
Activity 4
UTLS Data Sets
Activity 5
Clouds
Activity 6
RF & Climate Change
Activity 7
Metrics
Activity 8
Co-ord. & Synthesis
AC 1.2 Future Transport
AC 1.3 Validation Studies
AC 1.1 Past & Pres.
Transport
AC 2.4Effective Emissions
AC 2.2 Aircraft Plumes
AC 2.3 Ship Emissions
AC 2.1 Surface Transport
AC 3.2 Model Improvement
AC 3.3 Future Chem. Composition
AC 3.1 Present Chem.
Composition
AC 4.1 Chem. Composition
AC 4.2 H2O & O3
Climatologies
AC 5.2 Contrails and Contrail
Cirrus
AC 5.3 Indirect Aerosol
Effects
AC 5.1 Ship tracks
AC 6.2 Climate Sensitivity
AC 6.3 Climate Modelling
AC 6.1 Radiative Forcing
AC 7.2 Climate Projections
AC 7.3 Metrics
AC 7.1 Idealised GCM Integrations
AC 8.2 Synthesis
AC 8.3 Data Management
AC 8.1 Strategic Planning
AC 8.4 Dissemination &
Information
AC 9.2Administrative Management
Activity 9
ManagementAC 9.3Training
AC 9.4GAP
AC 9.1Project Office
StructureStructure
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MotivationMotivation
• To identify, recognize and To identify, recognize and understand the processes and understand the processes and their role in transformation and their role in transformation and transport of emission from transport of emission from transportation systems for transportation systems for bridging the gap between the bridging the gap between the scale of single sources and scale scale of single sources and scale of global model gridof global model grid
• To support measurement To support measurement campaignscampaigns
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GoalsGoals
• To verify model system against To verify model system against measurementmeasurement
• To analyse the sensitivity of the To analyse the sensitivity of the model system to emissions, model system to emissions, processes, etc.processes, etc.
• To predictTo predict atmospheric condition atmospheric condition for support the measurement for support the measurement campaigncampaign
• To use the model results for To use the model results for parameterization of efective parameterization of efective emission indicesemission indices
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Measurement of Ship Measurement of Ship EmissionsEmissions
• WP 2.3.1WP 2.3.1
• WP 2.3.2WP 2.3.2
• WP 2.3.3WP 2.3.3
QuantifyMeasur. Area
Eyring et al., 2005
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Couple MMCouple MM5 - CAMx5 - CAMx
• double nesting (27 x double nesting (27 x 27 km, 9 x 9 km), 27 km, 9 x 9 km), one wayone way
• EMEP 50 km EMEP 50 km emission inventory emission inventory and UKAEA (United and UKAEA (United Kingdom Kingdom Atmospheric Atmospheric Emission Inventory) Emission Inventory) used, interpolated, used, interpolated,
• CBM-IV chemistry CBM-IV chemistry
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Ship corridor dataShip corridor data
•UK Maritime and UK Maritime and Coastguard Coastguard Agency radar Agency radar data of ship data of ship corridors for corridors for estuary of estuary of Thames river. Thames river.
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Individual ship tracking Individual ship tracking
http://aisfree.aislive.com/Influx.aspx?Map=Europe%20Overviewhttp://aisfree.aislive.com/Influx.aspx?Map=Europe%20Overview http://ais.qps.nl/AISLivePortal/DesktopDefault.aspxhttp://ais.qps.nl/AISLivePortal/DesktopDefault.aspx
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Airborne measurements of Airborne measurements of ship emissionsship emissions
Schlager et al., 2006
Pre-Campaign 2004Clifford Maersk
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PrePre-project-project measurement measurement and modellingand modelling
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PrePre-project-project measurement measurement and modellingand modelling
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PrePre-project-project measurement measurement and modellingand modelling
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Sensitivity studySensitivity study
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Sensitivity studySensitivity study - NO - NO
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Sensitivity studySensitivity study - NO - NOyy
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Sensitivity studySensitivity study – O – O33
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AC2: QUANTIFY Measurement Campaign on Ship Emissions
Hans Schlager, Andreas Petzold, Ally Lewis, Frank Arnold, Nikolay Sitnikov,
Jana Moldanova, Eric Friedel, Thomas Halenka
& campaign team
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A) Sampling in the exhaust plume of a dedicated source ship (ACL)
► To determine the dilution of ship emissions in exhaust trails► To analyse chemical transformations in exhaust plumes ► To analyse aerosol processing in exhaust plumes► To infer emission factors, in particular of secondary emissions► To provide validation data for plume dispersion and plume chemistry box models
B) Sampling in major ship corridors ► To analyse shipping-related trace species on regional scale► To sample "background" data for air mixed with the ship plumes► To provide validation data for regional chemistry-transport models► To validate ship emission inventories
Type of flights and Objectives
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Falcon Measurements
Instrument Partner
NO / NOy DLR-IPA
CO DLR IPA
CO2 DLR-IPA
HCHO DLR-IPA
O3 DLR-IPA
HNO3 + SO2 MPI - K
NO2 CAO
HC Uni York
aerosol number + size (CPC + DS) DLR-IPA
aerosol size (DMA) DLR-IPA
aerosol size (OPC) DLR-IPA
volatility DLR-IPA
black carbon DLR-IPA
RH, temp, wind DLR-FB
PI
Schlager
Arnold
Sitnikov
Lewis
Petzold
Giez
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Measurements on board the Atlantic Conveyor
Species Technique
NOx CLCO2 IRCO IRHC FIDO2SO2 IRBenzene carbopackPM filterCN CPC
IVL- Swedish Environmental Research Institute (Jana Moldanova, Eric Fridell)
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Near-field measurements of Atlantic Conveyor
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Falcon Flight PatternFalcon Flight Pattern
AC plume sampling
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Run 1
Run 2
14.06.2007 Atlantic Conveyor flight
Run 1
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ConclusionsConclusions
• Reasonable agreement of simulation Reasonable agreement of simulation in shipping corridor with pre-project in shipping corridor with pre-project flight measurementflight measurement
• Quite robust results, there is Quite robust results, there is sensitivity to the emissionssensitivity to the emissions changes changes
• Verification for main campaign still in Verification for main campaign still in progress progress
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OutlooksOutlooks
• Tests of improvements of chemistry for Tests of improvements of chemistry for heterogeneous processes in ship plumesheterogeneous processes in ship plumes
• Looking for posibilities of emission Looking for posibilities of emission resolution increase resolution increase
• Individual ship plume study – PiG option in Individual ship plume study – PiG option in CAMxCAMx
• Application of effective emission indices in Application of effective emission indices in validation for measurement campaign validation for measurement campaign
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AcknowledgementAcknowledgement
All the work performed under support All the work performed under support by project EC FP6 Integrated Project by project EC FP6 Integrated Project QUANTIFY QUANTIFY
THANKS FOR YOUR ATTENTIONTHANKS FOR YOUR ATTENTION