Guillaume Siour,

Bernard Aumont, Matthias Beekmann, Marie Camredon, Isabelle Coll, Adriana Coman, Gaelle

Dufour, Gilles Foret, Benoit Laurent

LISA

Satellite

In situ analysis

3D

Jean-Francois Doussin, Paola Formenti,

Cécile Gaimoz, Vincent Michoud

0D

IASI :

Juan Cuesta

Maxim Eremenko

GECKO-A :

Bernard Aumont

Marie Camredon

LISA

Satellite

In situ analysis

3D

Jean-Francois Doussin, Paola Formenti,

Cécile Gaimoz, Vincent Michoud

0D

IASI :

Juan Cuesta

Maxim Eremenko

GECKO-A :

Bernard Aumont

Marie Camredon

Analysis

Matthias Beekmann

Benoit Laurent

Parametrizations

Bernard Aumont

Marie Camredon

Isabelle Coll

Validation/Assimilation/inversion

Adriana Coman,

Gaelle Dufour,

Gilles Foret

Processes

o DUST

o Aerosols budget

o Organic aerosol

o Emissions

o Gas chemistry

Data assimilation

Scenario and climate

o Climate impact

o Urban scale

CHIMERE at LISA

Processes

o DUST : evaluation of CHIMERE dust deposition

o Aerosols budget

o Organic aerosol

o Emissions

o Gas chemistry

Data assimilation

Scenario and climate

o Climate impact

o Urban scale

CHIMERE at LISA

Benoit Laurent, Gilles Bergametti

Thesis : Julie Vincent

Casset

43°15N-5°17E

39°15N-3°03E

35°31N-12°37E

43°00N-9°21E

44°59N-6°28E

47°17N-6°49E

ErsaMallorca

Frioul

Montandon

Granada

Médenine

Lampedusa

37°10N-3°36W 33°21N –10°30E

Vincent et al., ACP, 2016

A network for dust deposition measurements

Benoit Laurent, Gilles Bergametti

Thesis : Julie Vincent

Cass

et

43°15N-

5°17E

39°15N-

3°03E

35°31N-12°37E

43°00N-

9°21E

44°59N-

6°28E47°17N-

6°49E

ErsaMallorc

a

Frio

ul

Montando

n

Granad

a

Médenine

Lampedu

sa

37°10N-

3°36W

33°21N –

10°30E

Chimere evalution for dust deposition

Vincent et al., in prep

Total deposition flux from 06/21 to 07/05 2012.

Benoit Laurent, Gilles Bergametti

Thesis : Julie Vincent

Cass

et

43°15N-

5°17E

39°15N-

3°03E

35°31N-12°37E

43°00N-

9°21E

44°59N-

6°28E47°17N-

6°49E

ErsaMallorc

a

Frio

ul

Montando

n

Granad

a

Médenine

Lampedu

sa

37°10N-

3°36W

33°21N –

10°30E

Chimere evalution for dust deposition

Total deposition flux from 06/21 to 07/05 2012.

Vincent et al., in prep

Total deposition fluxes are simulated with

the right order of magnitude

Processes

o DUST

o Aerosols budget : Study case over Paris

o Organic aerosol

o Emissions

o Gas chemistry

Data assimilation

Scenario and climate

o Climate impact

o Urban scale

CHIMERE at LISA

PM2.5 speciation measurements

Matthias Beekmann Petetin et al., GMD, 2014

PM2.5 speciation measurements from 09/11/2009 to

09/10/2010.

PM2.5 speciation measurements vs. model

Matthias Beekmann Petetin et al., GMD, 2014

PM2.5 speciation measurements from 09/11/2009 to

09/10/2010.

good comparison for PM2.5

PM2.5 speciation measurements vs. model

Matthias Beekmann Petetin et al., GMD, 2014

PM2.5 speciation measurements from 09/11/2009 to

09/10/2010.

good comparison for PM2.5

PM2.5 speciation measurements vs. model

Matthias Beekmann Petetin et al., GMD, 2014

PM2.5 speciation measurements from 09/11/2009 to

09/10/2010.

good comparison for PM2.5

Error compensation between

local and advected contribution

for organic matter and nitrate

Processes

o DUST

o Aerosols budget

o Organic aerosol : Volatility Basis Set

o Emissions

o Gas chemistry

Data assimilation

Scenario and climate

o Climate impact

o Urban scale

CHIMERE at LISA

Implementation and evaluation of VBS parameterization

Matthias Beekmann

Bias RMSE R

-0.47 µg/m3

(-14.2%)

2.04 µg/m3

(61.7%)0.79

Time series July 2009

OA

(µ

g.m

-3)

CHIMERE CTM

Volatility basis set

POA volatile

SI-SOA + ASOA + BSOA

chemical aging

Zhang et al., ACP, 2013

Simulated

Biogenic (BSOA)

Anthropogenic (ASOA)

Oxidized POA (SI-SOA)

POA

Implementation and evaluation of VBS parameterization

Matthias Beekmann

Bias RMSE R

-0.47 µg/m3

(-14.2%)

2.04 µg/m3

(61.7%)0.79

Time series July 2009

OA

(µ

g.m

-3)

CHIMERE CTM

Volatility basis set

POA volatile

SI-SOA + ASOA + BSOA

chemical aging

Zhang et al., ACP, 2013

Simulated

Biogenic (BSOA)

Anthropogenic (ASOA)

Oxidized POA (SI-SOA)

POA

Better agreement

than the standard

SOA version in

CHIMERE.

Evaluation and improvement of VBS parameterization

Chimere standard

POA are no volatile

Matthias Beekmann, Augustin Colette (INERIS)

Thesis : Arineh Cholakian

Comparison of different schemes

VBS scheme

high and low NOx

+biogenic ageing

+anthropogenic ageing

+fragmentation

+non-volatile SOA

VBS standard

Cholakian et al., in prep

OA

(µ

g.m

-3)

Evaluation and improvement of VBS parameterization

Chimere standard

POA are no volatile

Matthias Beekmann, Augustin Colette (INERIS)

Thesis : Arineh Cholakian

Comparison of different schemes

VBS standard

high and low NOx

+biogenic ageing

+anthropogenic ageing

+fragmentation

+non-volatile SOA

VBS standard

Cholakian et al., in prep

OA

(µ

g.m

-3)

A new VBS parameterization based on explicit simulations

Explicit representation of

SOA formation

GECKO-A (Generator for Explicit Chemistry and

Kinetics of Organics in the Atmosphere)

Bernard Aumont, Marie Camredon, Florian Couvidat (INERIS)

Thesis : Victor Lannuque Post Doc : Richard Valorso

A new VBS parameterization based on explicit simulations

16

0

4

8

12

log

(He

ff)

Simulated species distribution during tetradecane

oxidation in term of volatility and solubility

Species ≈ 260 000

-16-18 -14 -8-12 -10 -6 -4 -2 0log(Psat) (atm)

Explicit representation of

SOA formation

GECKO-A (Generator for Explicit Chemistry and

Kinetics of Organics in the Atmosphere)

Bernard Aumont, Marie Camredon, Florian Couvidat (INERIS)

Thesis : Victor Lannuque Post Doc : Richard Valorso

A new VBS parameterization based on explicit simulations

16

0

4

8

12

log

(He

ff)

Simulated species distribution during tetradecane

oxidation in term of volatility and solubility

Species ≈ 260 000

-16-18 -14 -8-12 -10 -6 -4 -2 0log(Psat) (atm)

Explicit representation of

SOA formation

GECKO-A (Generator for Explicit Chemistry and

Kinetics of Organics in the Atmosphere)

Bernard Aumont, Marie Camredon, Florian Couvidat (INERIS)

Thesis : Victor Lannuque Post Doc : Richard Valorso

SOA parameterization for 3D

modeling (~100 species)SIMPLIFICATIONS

A new VBS parameterization based on explicit simulations

VB

4

VB

1

VB

7

VB

6

VB

5

VB

3

VB

2

16

0

4

8

12

log

(He

ff)

Simulated species distribution during tetradecane

oxidation in term of volatility and solubility

Species ≈ 260 000

-16-18 -14 -8-12 -10 -6 -4 -2 0log(Psat) (atm)

Explicit representation of

SOA formationVBS/GECKO parameterization

SOA parameterization for 3D

modeling (~100 species)

GECKO-A (Generator for Explicit Chemistry and

Kinetics of Organics in the Atmosphere)

→ 7 volatility bins : formation,

ageing (OH and hv) and gas/particle

partitioning

SIMPLIFICATIONS

Bernard Aumont, Marie Camredon, Florian Couvidat (INERIS)

Thesis : Victor Lannuque Post Doc : Richard Valorso

A new VBS parameterization based on explicit simulations

VB

4

VB

1

VB

7

VB

6

VB

5

VB

3

VB

2

16

0

4

8

12

log

(He

ff)

Simulated species distribution during tetradecane

oxidation in term of volatility and solubility

Species ≈ 260 000

-16-18 -14 -8-12 -10 -6 -4 -2 0log(Psat) (atm)

Explicit representation of

SOA formationVBS/GECKO parameterization

SOA parameterization for 3D

modeling (~100 species)

GECKO-A (Generator for Explicit Chemistry and

Kinetics of Organics in the Atmosphere)

→ 7 volatility bins : formation,

ageing (OH and hv) and gas/particle

partitioning

Optimized on explicit

simulations to represent the

temporal evolution of each volatility

bin

For 18 precursors and different

environmental conditions (T, COA,

NOX levels)

Error on the SOA mass : +/- 15%

SIMPLIFICATIONS

Bernard Aumont, Marie Camredon, Florian Couvidat (INERIS)

Thesis : Victor Lannuque Post Doc : Richard Valorso

A new VBS parameterization based on explicit simulations

VB

4

VB

1

VB

7

VB

6

VB

5

VB

3

VB

2

16

0

4

8

12

log

(He

ff)

Simulated species distribution during tetradecane

oxidation in term of volatility and solubility

Species ≈ 260 000

-16-18 -14 -8-12 -10 -6 -4 -2 0log(Psat) (atm)

Explicit representation of

SOA formationVBS/GECKO parameterization

SOA parameterization for 3D

modeling (~100 species)

GECKO-A (Generator for Explicit Chemistry and

Kinetics of Organics in the Atmosphere)

→ 7 volatility bins : formation,

ageing (OH and hv) and gas/particle

partitioning

Implementation in CHIMERE

in progress

Optimized on explicit

simulations to represent the

temporal evolution of each volatility

bin

For 18 precursors and different

environmental conditions (T, COA,

NOX levels)

Error on the SOA mass : +/- 15%

SIMPLIFICATIONS

Bernard Aumont, Marie Camredon, Florian Couvidat (INERIS)

Thesis : Victor Lannuque Post Doc : Richard Valorso

Processes

o DUST

o Aerosols budget

o Organic aerosol

o Emissions : NH3 emissions

o Gas chemistry

Data assimilation

Scenario and climate

o Climate impact

o Urban scale

CHIMERE at LISA

NH3 : IASI measurements

High IASI NH3 total columns during spring haze episode

from 8th to 15th March 2014

Fortems-Cheiney et al., GRL, 2016Gaelle Dufour

Post Doc : Audrey Cheiney

NH3 emissions improvement

High IASI NH3 total columns during spring haze episode

from 8th to 15th March 2014

linear relationships between CHIMERE simulated total columns

and EMEP reference emissions -> application to IASI total

columns -> new “NH3-SAT” emissions

Fortems-Cheiney et al., GRL, 2016Gaelle Dufour

Post Doc : Audrey Cheiney

Relative difference between NH3-SAT and EMEP emissions

Increased NH3 emissions from inverse emission modelling

(CHIMERE)

NH3-SAT emissions

High IASI NH3 total columns during spring haze episode

from 8th to 15th March 2014

linear relationships between CHIMERE simulated total columns

and EMEP reference emissions -> application to IASI total

columns -> new “NH3-SAT” emissions

Relative difference between NH3-SAT and EMEP emissions

Fortems-Cheiney et al., GRL, 2016

Increased NH3 emissions from inverse emission modelling

(CHIMERE)

Better simulation of Central EU PM2.5 concentrations

Gaelle Dufour

Post Doc : Audrey Cheiney

PYVAR-CHIMERE inversion model

OPTIMIZED FLUXES + UNCERTAINTIES

Bxb

OBSERVATIONSy R

CHEMISTRY-TRANSPORT

A PRIORI FLUXES

IASISatellite

Surface network EMEP

PYVAR coupled with CHIMERE to optimise emissions flux of CO2 and CH4

[Broquet et al., 2011; Broquet et al., 2013]

Credits : I. Pison

Gaelle Dufour

Post Doc : Audrey Cheiney

PYVAR-CHIMERE inversion model

OPTIMIZED FLUXES + UNCERTAINTIES

Bxb

OBSERVATIONSy R

CHEMISTRY-TRANSPORT

A PRIORI FLUXES

IASISatellite

Surface network EMEP

PYVAR coupled with CHIMERE to optimise emissions flux of CO2 and CH4

[Broquet et al., 2011; Broquet et al., 2013]

Credits : I. Pison

LISA/LSCE collaboration to extend to reactive gas : NO2, NH3

Gaelle Dufour

Post Doc : Audrey Cheiney

Processes

o DUST

o Aerosols budget

o Organic aerosol

o Emissions

o Gas chemistry

Data assimilation : O3 assimilation

Scenario and climate

o Climate impact

o Urban scale

CHIMERE at LISA

Data assimilation : CHIMERE EnkF

Ensemble

Kalman filter

Ebauche

(CHIMERE)

satellite (IASI)

surface

(Airbase)

Colonne 0-6km

Surface

Matthias Beekmann

Adriana Coman

Gilles Foret

Data assimilation : CHIMERE EnkF

Ensemble

Kalman filter

Ebauche

(CHIMERE)Ozone analyse

satellite (IASI)

surface

(Airbase)

Colonne 0-6km

Surface

Gaubert et al, 2013

Coman et al, 2012

Matthias Beekmann

Adriana Coman

Gilles Foret

Processes

o DUST

o Aerosols budget

o Organic aerosol

o Emissions

o Gas chemistry

Data assimilation

Scenario and climate

o Climate impact : climate vs emissions

o Urban scale

CHIMERE at LISA

Historical regional

climate emissions 2005

Historical regional climate

emissions 2050

+2°C regional climate

emissions 2050

+3°C regional climate

emissions 2050+3°C regional climate

emissions 2005

Scenario and climate studies : climate impact

Post Doc : Audrey CheineyMatthias Beekmann, Gilles Foret, Robert Vautard (LSCE) Fortems-Cheiney et al., submited

Historical regional

climate emissions 2005

%

Historical regional climate

emissions 2050

+2°C regional climate

emissions 2050

+3°C regional climate

emissions 2050+3°C regional climate

emissions 2005

Scenario and climate studies : climate impact

Post Doc : Audrey CheineyMatthias Beekmann, Gilles Foret, Robert Vautard (LSCE) Fortems-Cheiney et al., submited

Small impact of climate change of +2°C

Important increase due to +3°C

Impact of large scale transport

(due to CH4 global doubling)

Processes

o DUST

o Aerosols budget

o Organic aerosol

o Emissions

o Gas chemistry

Data assimilation

Scenario and climate

o Climate impact

o Urban scale : developpement of urban plateforme

CHIMERE at LISA

Developpement of urban scale plateforme

Isabelle Coll

Thesis : Arthur Elessa

NEDUM 2D :

the spatial distribution of land and real estate

dwelling sizes, population density, building height

and density, and their evolution over time

Elaboration of energy scenario

ANR VITE!

Developpement of urban scale plateforme

Isabelle Coll

Thesis : Arthur Elessa

NEDUM 2D :

the spatial distribution of land and real estate

dwelling sizes, population density, building height

and density, and their evolution over time

MODUS / GREEN :

Emissions fluxes

Elaboration of energy scenario

ANR VITE!

Developpement of urban scale plateforme

Isabelle Coll

Thesis : Arthur Elessa

NEDUM 2D :

the spatial distribution of land and real estate

dwelling sizes, population density, building height

and density, and their evolution over time

MODUS / GREEN :

Emissions fluxes

Elaboration of energy scenario

ANR VITE!

Developpement of urban scale plateforme

Isabelle Coll

Thesis : Arthur Elessa

NEDUM 2D :

the spatial distribution of land and real estate

dwelling sizes, population density, building height

and density, and their evolution over time

MODUS / GREEN :

Emissions fluxes

Mesure CHIMERE CHIMERE + correction

Elaboration of energy scenario

ANR VITE!