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!