31-May-07, IOP preparation meeting , R. Boers
EUCAARIEuropean Integrated Project
onAerosol - Climate - Air Quality
Interactions
31-May-07, IOP preparation meeting , R. Boers
Background of EUCAARI• Estimates on climate effect of aerosols have large
uncertainity– Physical, dynamical parameterizations do not give
consistent results to climate forcing• Future climate effect to parameterizations done for current
climate are often poorly known
– What will be the natural sources of aerosols in changing climate?
• Current and future and controls of anthropogenic primary aerosol and precursor emissions– Do they have a feedback to climate?
31-May-07, IOP preparation meeting , R. Boers
Objectives of EUCAARI
1. Reduction of the current uncertainty of the impact of aerosol particles on climate by 50% and quantification of the relationship between anthropogenic aerosol particles and regional air quality. To achieve this objective EUCAARI will concentrate on the areas of greatest uncertainties and will:a) Identify and quantify the processes and sources governing global and regional
aerosol concentrations b) Quantify the physico-chemical properties of atmospheric aerosolsc) Quantify the feedback processes that link climate change and atmospheric aerosol
concentrations with emphasis on the production and loading of natural aerosols and their precursors
2. Quantification of the side effects of European air quality directives on global and regional climate, and provide tools for future quantifications for different stakeholders.
1a 1b
1c
2
31-May-07, IOP preparation meeting , R. Boers
20oE
0
0.0001
0.001
0.01
0.1
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100
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arti
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[1/c
m3 /s
]
k-level 1TIME=2.4. 11:00 EET
Methods to reach ObjectivesExperiments:• Laboratory experiments• Field experiments• Lagrangian experiments• Instrumentation development• Satellite Retrievals
Modelling• Process model simulations• Regional / Global aerosol models• Global climate models and Integrated
assesment models• ”Network of models” – Using more
accurate, but smaller scale models to provide parameterizations for larger models
Integration• Integration between different scales of
data and modelling• Dissemination through EUCAARI-portal
– During project to partners– After project to end-users– Simulation- and data bank– End User information
20oE
0
0.0001
0.001
0.01
0.1
1
10
100
Act
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form
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[1/c
m3 /s
]
k-level 1TIME=2.4. 11:00 EET
AUTHORITIES*Recommendations*Test environment for different climate scenarios
POLICY MAKERS*Recommendations*Test environment for different climate scenarios
RESEARCH COMMUNITY*Submodels * data* education module
INDUSTRY*Recommendations*Test environment for different air quality scenarios
INSTRUMENT DESIGN* Data
ESA –EU GMES* Validated measurements
1.Observation Databank-Harmonized Existing data-EUCAARI data2.EUCAARI Model & Submodels sources3. Simulation data
EUCAARI -SERVICE
US
ER
IN
TE
RFA
CE
FO
R
ST
AK
EH
OL
DE
RS
AUTHORITIES*Recommendations*Test environment for different climate scenarios
AUTHORITIES*Recommendations*Test environment for different climate scenarios
POLICY MAKERS*Recommendations*Test environment for different climate scenarios
POLICY MAKERS*Recommendations*Test environment for different climate scenarios
RESEARCH COMMUNITY*Submodels * data* education module
RESEARCH COMMUNITY*Submodels * data* education module
INDUSTRY*Recommendations*Test environment for different air quality scenarios
INDUSTRY*Recommendations*Test environment for different air quality scenarios
INSTRUMENT DESIGN* Data
INSTRUMENT DESIGN* Data
ESA –EU GMES* Validated measurements
ESA –EU GMES* Validated measurements
1.Observation Databank-Harmonized Existing data-EUCAARI data2.EUCAARI Model & Submodels sources3. Simulation data
EUCAARI -SERVICE
1.Observation Databank-Harmonized Existing data-EUCAARI data2.EUCAARI Model & Submodels sources3. Simulation data
1.Observation Databank-Harmonized Existing data-EUCAARI data2.EUCAARI Model & Submodels sources3. Simulation data
EUCAARI -SERVICE
US
ER
IN
TE
RFA
CE
FO
R
ST
AK
EH
OL
DE
RS
AUTHORITIES*Recommendations*Test environment for different climate scenarios
POLICY MAKERS*Recommendations*Test environment for different climate scenarios
RESEARCH COMMUNITY*Submodels * data* education module
INDUSTRY*Recommendations*Test environment for different air quality scenarios
INSTRUMENT DESIGN* Data
ESA –EU GMES* Validated measurements
1.Observation Databank-Harmonized Existing data-EUCAARI data2.EUCAARI Model & Submodels sources3. Simulation data
EUCAARI -SERVICEU
SER
IN
TE
RF
AC
E F
OR
ST
AK
EH
OL
DE
RS
AUTHORITIES*Recommendations*Test environment for different climate scenarios
AUTHORITIES*Recommendations*Test environment for different climate scenarios
POLICY MAKERS*Recommendations*Test environment for different climate scenarios
POLICY MAKERS*Recommendations*Test environment for different climate scenarios
RESEARCH COMMUNITY*Submodels * data* education module
RESEARCH COMMUNITY*Submodels * data* education module
INDUSTRY*Recommendations*Test environment for different air quality scenarios
INDUSTRY*Recommendations*Test environment for different air quality scenarios
INSTRUMENT DESIGN* Data
INSTRUMENT DESIGN* Data
ESA –EU GMES* Validated measurements
ESA –EU GMES* Validated measurements
1.Observation Databank-Harmonized Existing data-EUCAARI data2.EUCAARI Model & Submodels sources3. Simulation data
EUCAARI -SERVICE
1.Observation Databank-Harmonized Existing data-EUCAARI data2.EUCAARI Model & Submodels sources3. Simulation data
1.Observation Databank-Harmonized Existing data-EUCAARI data2.EUCAARI Model & Submodels sources3. Simulation data
EUCAARI -SERVICEU
SER
IN
TE
RF
AC
E F
OR
ST
AK
EH
OL
DE
RS
31-May-07, IOP preparation meeting , R. Boers
Organization of Work
TRANSP O RT &TRANSFO RM ATIO N
EM ISS ION S & FOR M ATIO N
CLIM ATE &AIR Q UALITYEFFE CTS
EX ISTIN GDATA SETS,
M O DELS,INFRASTRUCTURE
PRO JE CT INFRASTRUCTURE
1
2
3
5
4
INTEG ERATIO N & IM PACTS
• The project is divided to elements which coordinate studies of different parts of aerosol life-cycle– Cross-disiplinarity– Multi-scale and –
method approach
• Each Element has Work Packages, which in turn are divided into Tasks
31-May-07, IOP preparation meeting , R. Boers
OrganizationEUROPEAN
COMMISSION
GENERAL ASSEMBLY
ADVISORY BOARD COORDINATORProject Office
STEERING GROUP
WP 1 WP2 WP3 WP4 WP5
31-May-07, IOP preparation meeting , R. Boers
ManagementW P0.1
PROJECT OFFICE
WP1.0 Management
EMISSIONS andFORMATION
WP2.0Management
TRANSPORT andTRANSFORMATION
WP3.0 Management
CLIMATE and AQEFFECTS
WP 1.1NUCLEATION
WP1.2FORMATION
GROWTH of ORGANIC AEROSOLS
WP 1.3ANTHROPOGENIC
BIOGENIC EMISSIONS OF AEROSOLS ..
WP1.4MULTICOMPONENT
GAS/AEROSOL PARTITIONING and
THERMODYNAMICS.
WP4.0Management
PROJECTINFRASTRUCTURE
WP-5.0 Management
IMPACTSand INTEGRATION
WP2.1REGIONAL SCALE
AEROSOL FORMATION AND EVOLUTION .. DURING
TRANSPORT
WP2.2AEROSOL
CHARACTERIZATION AND MODELLING IN
DEVELOPING COUNT.
WP2.3SATELLITERETRIVALS
WP2.4LONG-TERM
CHARACTERIZATION OF AEROSOLS
WP2.5PRIMARY vs. SECONDARY,
NATURAL vs. ANTH. PARTICLE N CONC.
WP3.1CCN/IN
ACTIVATION & OPTICAL PROPERTIES.
WP3.2ASSESMENT AND QUANT.
of AEROSOLINDIRECT
CLIMATIC EFFECTS
WP3.3PARAMETRIZATIONS FOR GLOBAL AND REGIONAL
MODELS
WP3.4REGIONAL and
GLOBAL AIR QUALITY
WP3.5AEROSOL FORCING
and CLIMATE RESPONSE
WP 4.1 GROUND SITE
DEVELOPMENTOUTSIDE EUROPE
WP4.2FIELD SITE PREPARATION for LAGRANGIAN and ADV.
STUDIES
WP4.3AIRBORNE
INFRASTRUCTURES
WP5.1AEROSOL IMPACTS...
INTEGRATINGINTO
POLICY
WP5.2EUCAARI
PLATFORMDATA
WP5.3EUCAARI
PLATFORMMODELS
WP3.6FEEDBACK PROCESSES
and INTERACTIONS
Element managers lead the Elements and provide information of element progress and results to other elements and to Project coordination
Project office handles the day-to-day project wide coordination, IP issues and reporting
PROJECT OFFICE
ELEMENT LEADERS
WORK PACKAGES
Work Packages describe a single problem or methodology. Each WP has one or more Milestones to deliver. They are subdivided into tasks with different Deliverables
WP3.2, i.e. us!
31-May-07, IOP preparation meeting , R. Boers
Project Timelime• Project is
organized in phases– Experiments and
infrastructure building are concentrated on start of the project
– Global climate and policy modelling in the end of the project
WP3.2 involvement
31-May-07, IOP preparation meeting , R. Boers
Organization of WP3.2KNMI, R. BoersWP3.2 leader
Gerd-Jan v. ZadelhoffIOP coordinator
Wouter KnapCabauw Research
Coordination
Vacant Aircraft Research
Coordinator
CESAR Partner 2 Partner 3 Partner 4 Partner 5
Marcel Brinkenberg Cabauw Coordinator
Kees SmithAir Traffic Interface
Manager
Gerrit de LeeuwAerosol coordinator
31-May-07, IOP preparation meeting , R. Boers
Surface
Aerosol mass emissionAerosol mass
CCNMass
CCN
CDNCCCN
Warm cloudCDNC / size
ODCDNC
Cloud optical depth
AOD
Cloud albedo
Earth Radiation Budget
FA
WP3.2 Assessment and quantification
of the Indirect
Aerosol Effect though
Observations and LES modelling
31-May-07, IOP preparation meeting , R. Boers
Tasks of WP3.2
WP3.2
3.2.1: IOP preparation and operation at CESAR
3.2.2: 9 month aerosol / clouds at CESAR
3.2.3: Data analysis / case study simulations
3.2.4: Assessment aerosol impact on cloud life cycle
3.2.5: impact of aerosols, clouds on SW irradiance
31-May-07, IOP preparation meeting , R. Boers
3.2.1: IOP preparation and operation15 April – 1 June 2008
Contributors : KNMI, FMI, CESAR consortium, CNRM, IFT, IGFUW, CNRS – LAMP
Tools: CESAR and airborne measurements
31-May-07, IOP preparation meeting , R. Boers
WP3.21: IOP preparation and operation15 April – 1 June 2008
Needed input from: WP4.3 [airborne infrastructures]
Output: Campaign data
Contributes to: 3.2.2, 3.2.3, WP 5.2
When: Preparation a coordinated effort with WP4.3--field study in m16 (15 April 2008)
Critical issues: Coordination with other field campaigns, proper selection of instruments and platforms
31-May-07, IOP preparation meeting , R. Boers
3.2.2: 9 months cloud and aerosol observations at CESAR
1 Jan 2008 – 1 October 2008
Contributors: the CESAR – partners, FMI, other parties
31-May-07, IOP preparation meeting , R. Boers
Remote Sensing site at CESAR / Cabauw
31-May-07, IOP preparation meeting , R. Boers
CESAR Surface and Remote Sensing Observations of Aerosol, Clouds and Radiation integrated with Airborne and Satellite observations
Aerosol mass emission
Aerosol mass
CCNMass
CCN
CDNCCCN
Warm cloudCDNC / size
ODCDNC
Cloud optical depth
AOD
Cloud albedo
Earth Radiation BudgetF
A MSG+BSRN
MSG+Surface
Remote sensing +
aircraft data
TowerMeasurements
Tower+Surface
Measurements
31-May-07, IOP preparation meeting , R. Boers
WP3.2.2 nine months cloud and aerosol observations at CESAR
1 Jan 2008 – 1 October 2008
Needed input from: WP 3.2.1, WP 2.3 (Sat Obs),But preferably also from others who wish to do special experiments and would benefit from a collocated set of
instruments
Output: Data sets of aerosol, clouds, precipitation, CCN, turbulence fluxes and radiative fluxes
Contributes to: WP 3.2.5, WP 5.2 (Platform data)
When: January 2008 – September 2008
Critical issues: -- smooth operation instruments-- integration with the EUCAARI data sets following formats and
meta data
31-May-07, IOP preparation meeting , R. Boers
3.2.3: Data analysis, case study simulations, after June 2008
Contributors: IGFUW, CNRM, IFT, KNMI, TNO, CNRS - LAMP
Tools: Data analysis. Model simulations, LES with microphysics, aircraft data analysis tools Integrated Profiling techniques
Integrated Profiling at CESAR, an advanced method to synthesize CESAR columnal observations to be used for climate, weather and process studies
31-May-07, IOP preparation meeting , R. Boers
Integrated Profiling Technique (IPTRL)
14 HATPRO brightness temperatures (TB)
a priori LWC profile(mod. adiabatic)
dabs profiles
Bayesian Retrieval
Radar-Lidar Ratio
a priori T und q profiles(nearest-by radiosonde)
optimized profiles of
• temperature (T) • humidity (q)• LWC (on variable radar resolution)
measurement-consistent with respect to error covariances
31-May-07, IOP preparation meeting , R. Boers
31-May-07, IOP preparation meeting , R. Boers
LES Nudging over Cabauw•Simulate cloudy boundary layer at Cabauw on a daily
basis with LES.
•Problematic because large and unknown LS forcings
•Integrating Profiling Technique (IPT) is the way out (Lohnert)
•Use relaxation to IPT profiles:
)(
scalelarge
t
tIPTi
)(
scalelarge
t
tIPTi
Correct mean state is provided by the IPT while the variability on a scale of 50m~10km is provides by LES.
31-May-07, IOP preparation meeting , R. Boers
WP 3.2.3: Data analysis, case study simulations, after June 2008
Needed input from: 3.2.1, WP 2.1 (evolution of aerosol properties), 3.1 (CCN / IN activation and optical properties)
Output: Vertical profiles, horizontal distributions, updated LES models (bulk, bin microphysics
Contributes to: WP 3.2.4 (assessment of aerosol impacts),
When: after month 18 IOP, ongoing until m36
Critical issues: Successful integration, initialization of LES, adequate representation of processes (including microphysics)
31-May-07, IOP preparation meeting , R. Boers
3.2.4: Assessment of aerosol impact on cloud life cycle,
After June 2008
Contributors: CNRM, KNMI, IGFUW, CNRS - LAMP
Tools: Data analysis, LES models
31-May-07, IOP preparation meeting , R. Boers
Turbulent Fluxes
Entrainment-Mixing
rv=20 g kg-1
rl=0.2 g kg-1
PrécipitationEvaporation
A=0.25
A=0.50
Microphysics
Trv
Onset ofPrécipitation
1st 2ndand Aerosol Indirect Effect
Boundary Layer Clouds
CCN Activation
RadiativeTransfer
31-May-07, IOP preparation meeting , R. Boers
WP 3.2.4: Assessment of aerosol impact on cloud life cycle,
After June 2008
Needed input from: 3.2.1, 3.2.2, 3.2.3
Output: Analysis of aerosol impact on the cloud diurnal cycle
Contributes to: Overall program
When: After M18 IOP, for 18 months
Critical issues: Clear research questions; Proper use and availability of calibrated data, proper modeling tools
31-May-07, IOP preparation meeting , R. Boers
3.2.5: Impact of clouds, aerosols on SW irradiance
Contributors: KNMI, FMI, CNRS - LAMP
Tools: Radiative transfer calculations, data analysis
31-May-07, IOP preparation meeting , R. Boers
Baseline Surface Radiation Network
31-May-07, IOP preparation meeting , R. Boers
Observations: Surface and TOA irradiances
31-May-07, IOP preparation meeting , R. Boers
WP 3.2.5: Impact of clouds, aerosols on SW irradiance
Needed input from: 3.2.1, 3.2.2, also Sat Obs (W2.3)
Output: assessment of aerosol impact on surface shortwave irradiance
Contributes to: WP 3.5, 3.6
When: after completion of 9 month data set at CESAR, for 18 months
Critical issues: Availability of properly calibrated data
31-May-07, IOP preparation meeting , R. Boers
Aims for the coming two days
1. Get the science right, know who is who
2. Get the flight plans and observations to serve the science
5. Enjoy ourselves (!)
3. Decide on necessary and sufficient instruments
4. Decide on the right weather conditions
31-May-07, IOP preparation meeting , R. Boers
Outputs to this meeting:
All ppt files to be collected by Gerd-Jan v Zadelhoff
Summary of meeting with:
Decisions on instruments
Decisions on ground-based operations
Decisions on flight plans
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