EUCAARI

31-May-07, IOP preparation meeting , R. Boers

EUCAARIEuropean Integrated Project

onAerosol - Climate - Air Quality

Interactions


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?


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

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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

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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

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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


OrganizationEUROPEAN

COMMISSION

GENERAL ASSEMBLY

ADVISORY BOARD COORDINATORProject Office

STEERING GROUP

WP 1 WP2 WP3 WP4 WP5


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!


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


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


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


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


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


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


3.2.2: 9 months cloud and aerosol observations at CESAR

1 Jan 2008 – 1 October 2008

Contributors: the CESAR – partners, FMI, other parties


Remote Sensing site at CESAR / Cabauw


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


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


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


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


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.


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)


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


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


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


3.2.5: Impact of clouds, aerosols on SW irradiance

Contributors: KNMI, FMI, CNRS - LAMP

Tools: Radiative transfer calculations, data analysis


Baseline Surface Radiation Network


Observations: Surface and TOA irradiances


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


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


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

EUCAARI

Documents

Transcript of EUCAARI