ÓPTICA PURA Y APLICADA – Vol. 37, núm. 3 - 2004
Recibido: 14 september, 2004
3365
-Observations of aerosol properties in the Mediterranean basin.
Paola Formenti (1)
(1) LISA, Univ. Paris 7&12 / CNRS, France Contributors:
B. Chatenet, C, Schmechtig, S. Lafon, B. Marticorena, L. Menut, S. Alfaro LISA / CNRS, Creteil, France
F. Dulac
LISA / LSCE / CEA-CNRS, Gif-sur-Yvette, France S. Nava, P. Prati
Phys. Dept., Univ. Genoa, Italy T. Elias
CNRM, Toulouse, France A.M. Silva
CGE, Univ. Evora, Portugal All AERONET Pis in the Mediterranean (B.N. Holben, P. Goloub, D. Tanré, A. Karnieli,….
PRESENTATION
ABSTRACT:
In this presentation we will use the AERONET database to study the origin, load, and properties of aerosols in the Mediterranean basin, a small-scale coupled atmosphere–ocean system. The regional energy budget of the basin is strongly perturbed by scattering and absorption of sun light by aerosols, which result by superimposing anthropogenic and natural sources, such as vegetation and industrial combustion, urban pollution, mineral dust, and sea salt. The aerosol optical properties will depend by the extent and seasonality of this mixing; therefore, they might vary in the western and eastern parts of the basin, which are characterised by differing source distribution and circulation patterns. Special attention will be given to the role and properties of exported mineral dust.
Key words:
AERONET workshop, 11 May 2004
Observations of aerosol properties
in the Mediterranean basin
Kheops’s pyramide
Sphinx
DUST
P. Formenti
LISA, Univ. Paris 7&12 / CNRS, France
AERONET workshop, 11 May 2004
Ad memoriam
AERONET workshop, 11 May 2004
Contributors
B. Chatenet, C. Schmechtig, S. Lafon, B. Marticorena, L. Menut, S. Alfaro
LISA/CNRS, Créteil, France
F. Dulac
LISA/LSCE/CEA-CNRS, Gif-sur-Yvette, France
S. Nava, P. Prati
Phys. Dept, Univ. Genoa, Italy
T. Elias
CNRM, Toulouse, France
A. M. Silva
CGE, Univ. Evora, Portugal
AERONET workshop, 11 May 2004
Modeling the dust cycle
Erosion threshold
Emission
Source areas and
periods
Emission fluxes
Concentration fields
Size distribution
Mineralogy, shape
Saltation
Sandblasting
Outputs
Surface
roughness
Soil wetness
Soil size
distribution
Surface coverage
Wind speed
Inputs
Optical properties
Direct forcing
Transport
(advection, convection, dry/wet deposition, MIXING)
Scattering/absorption
Dust Production Model (DPM)*
* Marticorena and Bergametti, 1995
AERONET workshop, 11 May 2004
How to predict dust absorption in the atmosphere
How to predict dust absorption in the atmosphere?
at the global scale?
In the aerosol fraction, as a function of size
Free-Fe
aer= total-Fe
aer* [Free-Fe / total-Fe]
soilSoil
Aerosol
Clays
Free Fe Total Fe
R
c=
Fine silts
Free Fe Total Fe
R
s=
Rc Rs
DPM
Size-resolved total iron content
Free-iron content
Attenuation (on filter)
Absorption
coefficient
Soil
Aerosol
Clays
Free Fe Total Fe
R
c=
Clays
Free Fe Total Fe
R
c=
Free FeTotal Fe Free Fe Total Fe
R
c=
Fine silts
Free Fe Total Fe
R
s=
Fine silts
Free Fe Total Fe
R
s=
Free FeTotal Fe Free Fe Total Fe
R
s=
Rc Rs
DPM
Size-resolved total iron content
Free-iron content
Attenuation (on filter)
Absorption
coefficient
The free-to-total Fe ratio depends on soil type
Ä it can be mapped!
Æ
R seems to be conserved from soil to aerosol
Size distribution Dust Production Model
This work!
at the global scale?
In the aerosol fraction, as a function of size
Free-Fe
aer= total-Fe
aer* [Free-Fe / total-Fe]
soilSoil
Aerosol
Clays
Free Fe Total Fe
R
c=
Fine silts
Free Fe Total Fe
R
s=
Rc Rs
DPM
Size-resolved total iron content
Free-iron content
Attenuation (on filter)
Absorption
coefficient
Soil
Aerosol
Clays
Free Fe Total Fe
R
c=
Clays
Free Fe Total Fe
R
c=
Free FeTotal Fe Free Fe Total Fe
R
c=
Fine silts
Free Fe Total Fe
R
s=
Fine silts
Free Fe Total Fe
R
s=
Free FeTotal Fe Free Fe Total Fe
R
s=
Rc Rs
DPM
Size-resolved total iron content
Free-iron content
Attenuation (on filter)
Absorption
coefficient
The free-to-total Fe ratio depends on soil type
Ä it can be mapped!
Æ
R seems to be conserved from soil to aerosol
Size distribution Dust Production Model
Soil
Aerosol
Clays
Free Fe Total Fe
R
c=
Fine silts
Free Fe Total Fe
R
s=
Rc Rs
DPM
Size-resolved total iron content
Free-iron content
Attenuation (on filter)
Absorption
coefficient
Soil
Aerosol
Clays
Free Fe Total Fe
R
c=
Clays
Free Fe Total Fe
R
c=
Free FeTotal Fe Free Fe Total Fe
R
c=
Fine silts
Free Fe Total Fe
R
s=
Fine silts
Free Fe Total Fe
R
s=
Free FeTotal Fe Free Fe Total Fe
R
s=
Rc Rs
DPM
Size-resolved total iron content
Free-iron content
Attenuation (on filter)
Absorption
coefficient
The free-to-total Fe ratio depends on soil type
Ä it can be mapped!
Æ
R seems to be conserved from soil to aerosol
Soil
Aerosol
Clays
Free Fe Total Fe
R
c=
Fine silts
Free Fe Total Fe
R
s=
Rc Rs
DPM
Size-resolved total iron content
Free-iron content
Attenuation (on filter)
Absorption
coefficient
Soil
Aerosol
Clays
Free Fe Total Fe
R
c=
Clays
Free Fe Total Fe
R
c=
Free FeTotal Fe Free Fe Total Fe
R
c=
Fine silts
Free Fe Total Fe
R
s=
Fine silts
Free Fe Total Fe
R
s=
Free FeTotal Fe Free Fe Total Fe
R
s=
Rc Rs
DPM
Size-resolved total iron content
Free-iron content
Attenuation (on filter)
Absorption
coefficient
The free-to-total Fe ratio depends on soil type
Ä it can be mapped!
Æ
R seems to be conserved from soil to aerosol
Size distribution Dust Production Model
This work!
Lafon et al., 2004AERONET workshop, 11 May 2004
Modeling the dust cycle :
Resolution
- Horizontal : 3 domains (1x1°, 0.5x0.5°, 6 km)
- Vertical : 10–30 levels (surface to 200 hPa)
Meteorological field
- ECMWF and/or NCEP pour large resolution
- MM5 for mesoscale
Dust emission
DPM
(
Marticorena and Bergametti,
1995;
Alfaro and Gomes,
2001)
Simulations
Climatology 1991–2001 (hourly resolution)
Validation
- Satellites
- Lidars
AERONET workshop, 11 May 2004
Modeling the dust cycle : preliminary results
May 1991 : simulated optical depth
AERONET workshop, 11 May 2004
Modeling the dust cycle : validation
CACHE (ground-based)
El Cairo, Oct 2004 - Mar 2005
Dust / urban pollution
PI : LISA
ADRIEX (airborne)
Adriatic/Black Sea, Aug-Sep 2004
Urban / industrial pollution, fires
PI : UK Metoffice
AMMA (ground-based and airborne)
Niger, 2005–2007 (intensive 2006)
Dust / biomass burning
PIs : LISA, LOA, LA, CNRM
AERONET workshop, 11 May 2004
AMMA, emissions and properties of Sahelian dust
0
1
2
3
4
5
6
7
0
90
180
270
360
Column water
c
ontent, c
m
0
1
2
3
4
AOD, 870 nm
Jan
Apr
Jul
Sep
Dec
AERONET workshop, 11 May 2004
DLR-F / Falcon20 Niamey Flight Ranges
F / ATR 42 Niamey Flight Ranges
UK Bae-146 Dakar Flight Ranges
M’Bour
Banizoumbou Segou
Lamto
AERONET sites
EOP, 2005-2007
Mass concentration
Wet/dry deposition
Vertical profiles
AERONET workshop, 11 May 2004
Observations in the Mediterranean
Venise
ADRIEX
CACHE
Poster by Chaabane et al.
Talk by Yvgeni et al.
Oristano
Thala
Moldova
Sde Boker
Erdemli
Poster by Aculinin et al.
El Arenosillo
• Frequency and properties of dust (
vertical profiles
)
AERONET workshop, 11 May 2004
Vertical profiles : dust
Offshore Senegal
Eastern Mediterranean
Extinction coeff (km-1)
Dulac et al., 2002
AERONET workshop, 11 May 2004
Vertical profiles : vegetation burning and industrial
pollution
AERONET workshop, 11 May 2004
Vertical profiles : vegetation burning and industrial
pollution
AERONET workshop, 11 May 2004
Frequency of dust
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7
Angstrom<0.5 0.5<Angstrom<0.8 Angstrom>0.8
AOD
, 870 nm
Eastern Med (Erdemli) Central Med (Oristano)
July 2000-May 2001
0 10 20 30 40 50 60 70 80 90 100
Angstrom<0.5 0.5<Angstrom<0.8 Angstrom>0.8
Fr
equenc
y,
%
Eastern Med (Erdemli) Central Med (Oristano)
July 2000-May 2001
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7
Angstrom<0.5 0.5<Angstrom<0.8 Angstrom>0.8
AOD
, 870 nm
Western Med (El Arenosillo) Central Med (Oristano)
Aug 2001-Dec 2002
0 10 20 30 40 50 60 70 80 90 100
Angstrom<0.5 0.5<Angstrom<0.8 Angstrom>0.8
AOD
, 870 nm
Western Med (El Arenosillo) Central Med (Oristano)
Aug 2001-Dec 2002
Frequency, %
AERONET workshop, 11 May 2004
0 0.5 1
0 90 180 270 360
Years 2000-2003
AOD, 870 nm Angstrom exp
Jan Apr Jul Sep Dec
Monthly mean (1984-1994) dust optical depth at 550 nm, METEOSAT
Moulin et al., 1998
Seasonality of dust
AERONET workshop, 11 May 2004
Seasonality of dust
0 0.5 1
0 90 180 270 360
Years 2000-2002
AOD, 870 nm Angstrom exp
Jan Apr Jul Sep Dec
0 0.5 1
0 90 180 270 360
Years 2000-2002
AOD, 870 nm Angstrom exp
Jan Apr Jul Sep Dec
Monthly mean (1984-1994) dust optical depth at 550 nm, METEOSAT
Moulin et al., 1998
Western Med (Arenosillo)
AERONET workshop, 11 May 2004
Single scattering albedo, Central basin
y = 0.04x + 0.96 R2 = 0.71
0.9 0.95 1 1.05 1.1
0 0.5 1 1.5 2
Angstrom exponent
Ra
tio
0
(4
41
)/
0
(8
70
)
Spherical
Aspherical
Ra
tio
ω0
(440
) /
ω0
(870
)
0.85 0.9 0.95 1
0 0.5 1 1.5 2
Angstrom exponent
0
(670)
Spherical Aspherical
ω
0at 670 nm ~ 0.91 – 0.99
AERONET workshop, 11 May 2004
Single scattering albedo, Central basin
0.8 0.85 0.9 0.95 1 1.05
0 0.5 1 1.5 2
Angstrom exponent Ra tio 0 (4 41 )/ 0 (8 70 ) Spherical Aspherical
Thala
y = 0.04x + 0.96 R2 = 0.71
0.9 0.95 1 1.05 1.1
0 0.5 1 1.5 2
Angstrom exponent Ra tio 0 (441) / 0 (870) Spherical Aspherical Ra tio ω0 (440 ) / ω0 (870 ) Ra tio ω0 (440 ) / ω0 (870 )
Oristano
AERONET workshop, 11 May 2004
Single scattering albedo, Thala
0.7
0.8
0.9
1
300
500
700
900
1100
Wavelength, nm
S
ingle s
ca
tter
ing albedo
23 Sept 2001
Nigerian soil
Tunisian soil
Alfaro et al., 2004
-15
-10 -5
0 5 10 15 20 25 30 35 40 45 ★ ▲ ▼ ▲ ▲▲▼▲ ▲ ▲ ▼ ▲ ▲ ★ ■ ❏ ■ ■ ■ ❏ ■ ■ ■ ❏■ ■ ★ ● ❍ ● ● ● ❍ ● ● ● ❍ ● ● ★ ▲ ▼ ▲ ▲ ▲ ▼ ▲ ▲ ▲ ▼ ▲ ▲ ★ ■ ❏ ■ ■ ■ ❏ ■ ■ ■ ❏ ■ ■ ★ ● ❍ ● ● ● ❍ ● ● ● ❍ ●
● 500 1000 1500 2000 2500 3000 50 1500 3000 06 00 06/16
18 12 06 00 06/15
18 12 06 00 06/14
18 12
NATIONAL OCEANIC ATMOSPHERIC ADMINISTRATION
Backward trajectories ending at 12 UTC 16 Jun 01
FNL Meteorological Data
Source
★
at 35.50 N 8.60 E
Meters AGL
-30
-15 0 15
30 15 30 45 ★▲▼▲▲▲▼▲▲▲▼▲ ▲ ★ ■ ❏ ■ ■ ■ ❏ ■ ■ ■ ❏ ■ ■ ★ ● ❍ ● ● ● ❍ ● ● ● ❍● ● ★ ▲ ▼ ▲ ▲ ▲ ▼ ▲ ▲ ▲ ▼ ▲ ▲ ★ ■ ❏ ■ ■ ■ ❏ ■ ■ ■ ❏ ■ ■ ★ ● ❍ ● ● ● ❍ ● ● ● ❍ ● ● 500 1000 1500 2000 2500 3000 3500 50 1500 3000 06 00 09/23
18 12 06 00 09/22
18 12 06 00 09/21
18 12
NATIONAL OCEANIC ATMOSPHERIC ADMINISTRATION
Backward trajectories ending at 12 UTC 23 Sep 01
FNL Meteorological Data
Source
★
at 35.50 N 8.60 E
Meters AGL
AERONET workshop, 11 May 2004
Single scattering albedo, Western basin
0.85 0.9 0.95 1
0 0.5 1 1.5 2
Angstrom exponent
0
(6
70)
Spherical
Aspherical
y = 0.06x + 0.95 R2 = 0.79
0.9 0.95 1 1.05 1.1
0 0.5 1 1.5 2
Angstrom exponent
Ra
tio
≅0
(441)
/≅0
(870)
Spherical
Aspherical
ω
0at 670 nm ~ 0.96 – 0.99
AERONET workshop, 11 May 2004
Single scattering albedo, Eastern basin
ω
0at 670 nm ~ 0.95 – 0.99
0.9 1 1.1 1.2
0 0.5 1 1.5 2
Angstrom exponent
Ra
tio
0
(4
41
)/
0
(870
)
Spherical Aspherical
0.85 0.9 0.95 1
0 0.5 1 1.5 2
Angstrom exponent
0
(670)
Spherical Aspherical
AERONET workshop, 11 May 2004
Single scattering albedo, Eastern basin
ω
0at 670 nm
0.85
0.95
0
90
180
270
360
Spherical
Aspherical
Dec
Jan
Apr
Jul
Aug
AERONET workshop, 11 May 2004
Vegetation burning
2nd half August 2002
January 2002
AERONET workshop, 11 May 2004
Profiles of chemical composition
0
1000
2000
3000
4000
0.01
0.1
1
10
BC
E-to-nss-SO
4ratio
Altitude, m
STAAARTE-97
STAAARTE-98
STAAARTE-98
Crete 10 June 1997
Crete 18 August 1998
Thessaloniki 14 August 1998
Sciare et al., 2003
Dulac et al., 2002 Formenti et al., 2001
AERONET workshop, 11 May 2004
Aerosol sulfate measurements
Western Med
Central Med
Eastern Med
7.5
Malta
Barcelona
Spain (Granada)
Israel
Turkey *
Turkey
Crete *
Crete (STAAARTE-97)
Thessaloniki (STAAARTE-98)
Crete (STAAARTE-98)
6.7 (1.5 – 14)
9.9 (1.5 – 23)
10.5
2.2 (2)
7.3 (6.5)
2 – 8
7.9 (1.4)
2.1 (0.9)
2.4 (1.1)
Mean PM
10SO
4(µg m
–3)
* Full year; summer only otherwise
AERONET workshop, 11 May 2004
August 1998 : Comparison AOD
τ
a= 0.23
00.1 0.2
01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 0
0.1 0.2 0.3 0.4
01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
0 0.1 0.2 0.3 0.4
01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 0
0.1 0.2 0.3 0.4
01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
τ
a~ 0.30
τ
a~ 0.10
τ
a~ 0.10-0.30
τ
a~ 0.05
Forster et al., 2001
AERONET workshop, 11 May 2004
Comparison of single scattering albedo
0.75
0.8
0.85
0.9
0.95
1
400
500
600
700
800
900
1000
1100
Wavelength, nm
Single s
ca
tter
ing albedo
STAAARTE-98
AERONET workshop, 11 May 2004
Comparison size distribution
0.0001
0.001
0.01
0.1
1
0.01
0.1
1
10
100
Radius, µm
dV/dlnR, µm
STAAARTE-98, PCASP integrated between 0 and 4 km
Ispra
0.0001
0.001
0.01
0.1
1
0.01
0.1
1
10
100
Radius, µm
dV
/dlnR, µm
Sde Boker
AERONET workshop, 11 May 2004
Scattering time series, Granada, VELETA 2002
Talk by Alados Arboletas and various posters
0
100
200
7 Jul
9 Jul
11 Jul 13 Jul 15 Jul 17 Jul 19 Jul 21 Jul 23 Jul
July 2002
Sc
att c
oeff,
Mm-1
Scatt coeff, calc (Al, S)Scatt coeff, meas
M = Mediterranean flow A = Atlantic flow
Dust
AERONET workshop, 11 May 2004
Scattering time series, Granada, VELETA 2002
Talk by Alados Arboletas and various posters
0
100
200
7 Jul
9 Jul
11 Jul 13 Jul 15 Jul 17 Jul 19 Jul 21 Jul 23 Jul
July 2002
Sc
att c
oeff,
Mm-1
Scatt coeff, calc (Al, S, BCE)
Scatt coeff, meas
AERONET workshop, 11 May 2004
Scattering and AOD time series
0
100
200
7 Jul
9 Jul 11 Jul 13 Jul 15 Jul 17 Jul 19 Jul 21 Jul 23 Jul
July 2002
Sc
att c
oeff, Mm-1
0
0.1
0.2
0.3
0.4
0.5
0.6
AO
D, 440 nm
Scatt coeff, calc (Al, S)
AERONET workshop, 11 May 2004
The episode of 13-14 July
AERONET workshop, 11 May 2004
The episode of 13-14 July
AERONET workshop, 11 May 2004
There is no conclusion!
We are collecting data
0 2 4 6 8 10
1 10 100 1000
Estimated dust mass, µg m-3
Fe
conte
n
t, %
Range 4-7 %
0 2 4 6 8 10
1 10 100 1000
Estimated dust mass, µg m-3
Fe content, %
Range 2-6%