Presentation of the GEMS-aerosol

sub-project

GEMS kick-off meeting

Hamburg, 4-6 July 2005

PARTNERS

- Met Office, UK (coordination)- ECMWF - CNRS-LOA, France- CEA-IPSL-LSCE, France - UPMC-SA, France- NUIG, Ireland - RMIB, Belgium- DWD, Germany- MPI-M, Germany - FMI, Finland- DLR, Germany (no-cost partner)

The consortium cover competences in modelling, data assimilation, data from satellite and ground, and in-situ ground measurements.

Products Usage

4D distribution of aerosol concentrations at 50-100 km resolution(troposphere and stratosphere)

climate research; monitoring of the atmosphericchemical composition; monitoring of thestratosphere (air traffic); monitoring of volcaniceruptions for local populations; initial and boundaryconditions for regional air quality models

4D distribution of aerosol optical properties at 50-100 kmresolution (troposphere and stratosphere)

atmospheric corrections for remote sensing of landsurfaces and ocean;

prediction of surface UV radiation

Surface distribution of particulate matter PM regional air quality

Improved visibility range air traffic, tourism

Improved photosynthetically active radiation (PAR) at the surface study of the carbon cycle; monitoring of the Kyotoprotocol

Aerosol deposition flux (dry and wet) study of the ocean biology; impact on ecosystems(acid rain monitoring)

Improved photolysis rates regional air quality; global monitoring of theatmospheric chemical composition

Improved surface, atmospheric, and top-of-atmosphere radiativebudget

climate research

GEMS integrated project - AER sub-project

AER_2Emissions

AER_3Data

assimilation

AER_1Aerosolmodel

AER_4validation

DAEDALUS/ ASSET

PHOENICS/ PARTS

GlobAER(ESA)

GRG

GHG

RAQ

Aerosol satellite data

(AOD, radiances)

ESAEUMETSAT

NASA

Methodology

Globalaerosol

monitoringsystem

Emissions

Boundary conditionsAerosol models

Heterogeneous chemistry

Oxidants

Various datasets / CREATE

GEIA / ACCENT / RETRO /

EMEP

ESANASA

Fire counts

Emission maps

GEMS-AerosolAER_1: Implementation of the direct physical aerosol model in the ECMWF

model (O.Boucher, J. Feichter, J.-J. Morcrette, others)

> implementation of parametrisations for tropospheric aerosols

> implementation of parametrisations for stratospheric aerosols

> implementation of new emission inventories

> implementation of aerosol optical properties

> production of test simulations

Met Office, MPI-M, CEA-IPSL-LSCE, ECMWF, SA-UPMC

Different aerosol physics and chemistry will be tested

Criteria for model implementation

- parametrisations need to be consistent with the ECMWF physics

- skill scores

- computer time

Tremendous progress in the last 6 months thanks to JJM’s work at ECMWF

GEMS-AerosolAER_2: Refinement of aerosol emission sources (M.Sofiev)

> update and assimilation of the anthropogenic emission inventories of aerosol and its precursors

> assimilation of information on wild fires

> quantification of the wind-blown dust emission from desert areas

> quantification of the wind-blown sea salt emission

> sources of stratospheric aerosols

FMI, CEA-IPSL-LSCE, MPI-M, SA-UPMC

Work started

- M. Sofiev (FMI) + J. Flemming (HALO) + ACCENT meeting in Jan.

Cross-cutting issue with RAQ, GRG, and GHG

We have to give a lot of thinking on biomass burning emissions:

What we do now has to be compatible with what can be made operational in the future.

AER_3: Aerosol data assimilation (J-J Morcrette)

> adaptation of RT codes for SW and LW radiances in nadir geometry

> preparation and harmonisation of aerosol satellite data sets

> error covariance matrices

> test of a 1D-Var system using aerosol products

> test of a 1D-Var system using aerosol radiances

ECMWF, CEA-IPSL-LSCE, Met Office, CNRS-LOA, SA-UPMC

Probably the work package which needs most coordination!

4D-VAR of aerosols properties and radiances is something NEW.

GEMS-Aerosol

AER_4: Evaluation of the model and analyses (C.O’Dowd, I. Chiapello)

> assessment of diagnostics and skill scores

> evaluation of aerosol radiative properties and associated radiative fluxes

> evaluation of aerosol physico-chemical properties

> analysis of model results with respect to air quality

NUIG, CNRS-LOA, CEA-IPSL-LSCE, DWD, ECMWF, MPI-M, RMIB, SA-UPMC

The basic idea is to use

- AEROCOM for global, monthly-mean model validation

- a variety of comparisons to measurements for validating the details

(transport, dust events, chemical composition over Europe, etc…).

Validation of aerosol properties but also radiation.

GEMS-Aerosol

Agency Mission Instrument Parameters Data volumeper day of satellitelife (Mb)

ESA ENVISAT MERIS AerOpDepth @0.865 ~250 maxAngstrom coefficientRadiances 7 WL

ESA ERS-2 ATSR Radiances used in TBDENVISAT AATSR GLOBAER project

EUMETSAT MSG SEVIRI Radiances low/moderateMSG GERB Radiation budget low/moderate

NASA TERRA MODIS AerOpDepth ~600AQUA Type

Size distributionRadiances

NASA AURA HIRDLS AerOptThickn 4 WL low/moderateNASA SAGE-2 AerOptThickn 8 WL low, available from

SAGE-3 AerOptThickn 8 WL Web

Development of a prognostic aerosol packagein the ECMWF model

Physics

Radiation

Vertical diffusion

Mass-flux convection

Large-scale condensation

Cloud scheme

Physics with prognostic aerosols

Radiation

Aerosol sources

Dry deposition

Sedimentation

Vertical diffusion

Mass-flux convection

Large-scale condensation

Cloud scheme

Scavenging in- and below clouds

Aerosol budget

Aerosol radiance diagnostics

New routine

Modified routine

Unchanged (at present)

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Configuration B: sea salt a la LMD-Z

What has been done within the forecast model

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Surface Source xx m-2: Sea-Salt bin 3Tuesday 1 May 2001 12UTC ECMWF Forecast t+24 VT: Wednesday 2 May 2001 12UTC Surface: **

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Cross-cutting issues

Emissions - consistency with GRG and RAQ- NRT biomass burning emissions

Oxidant fields from GRG

Heterogeneous chemistry ==> GRG

Technical aspects: positiveness, data assimilation, data flow …