1
Pollution transported to the Arctic during the POLARCAT-France spring and summer campaigns: source regions and aerosol properties B. Quennehen 1 , A. Schwarzenboeck 1 , A. Matsuki 2 , J. Schmale 3 , H. Sodemann 4* , J. Schneider 3 , G. Ancellet 5 , A. Stohl 4 , J. Pelon 5 and K. Law 5 EGU2011 - 10962 XY50 3. SPRING CAMPAIGN A. European anthropogenic plume sample 3 consecutive days B. Asian anthropogenic and fire plumes 10 1 10 2 10 3 10 4 10 ï 10 0 10 1 10 2 10 3 10 4 R 2 = 0.982 R 2 = 0.992 R 2 = 0.976 Diameter (nm) Concentrations dN/dlogD (#.cm ï ) Asian anth. meas. Asian anth. fit Asian fires meas. Asian fires fit Background meas. Background fit 4. SUMMER CAMPAIGN 1. CONTEXT 1 Laboratoire de Météorologie Physique (LaMP), Université Blaise Pascal, Clermont-Ferrand, France. 2 Frontier Science Organisation, Kanazawa University, Japan. 3 Particle chemistry dept., Max Planck Institute for Chemistry, Mainz, Germany. 4 Norwegian Institute for Air Research, Kjeller, Norway. 5 LATMOS-IPSL, UPMC Univ-Paris 6; Univ. Versailles St-Quentin; CNRS/INSU, UMR 8190, Paris, France. *now at Instiute for Atmospheric and Climate Science, ETH, Zürich, Switzerland. 5. SUMMARY Polar regions are known to be more strongly impacted by global warming than other regions (IPCC, 2007). Previous studies on climate related processes in the Arctic atmosphere were mostly based on surface observations and many advances in measurement techniques were done since the previous airborne campaigns. 2. INSTRUMENTATION Physical properties: • Scanning Mobility Particle Sizer (SMPS) • Optical Particle Counter (OPC Grimm,TSI and PCASP 100-X, DMT) • Condensation Particle Counter (CPC 3010 & 3025, TSI) Chemical properties: • Aerodyne time of flight aerosol mass spectrometer (C-ToF-AMS, MPI, Mainz) • 2 stage cascade impactor (sub and super-micronic) + a posteriori spectros- copy and microscopy analyses (FSO, Kanazawa) • Gas phase: CO and O 3 measurements (Mozart, LATMOS, Paris) Optical properties: • 1λ Particle Soot Absorption Photometer (PSAP, TSI) • 3λ Nephelometer (TSI) • Aerosol Lidar (LNG, LATMOS, Paris) 10 1 10 2 10 3 10 4 10 ï 10 0 10 1 10 2 10 3 10 4 R 2 = 0.991 R 2 = 0.984 R 2 = 0.976 R 2 = 0.988 R 2 = 0.992 R 2 = 0.992 R 2 = 0.983 Diameter (nm) Concentrations dN/dlogD (#.cm ï ) 9 April meas. 9 April fit 10 April meas. 10 April fit 11 April meas. 11 April fit Background meas. Background fit Fig. 3d 3 4 5 6 7 8 9 10 20 25 30 35 40 45 50 55 60 65 70 FLEXPART age (days) Aitken mode mean diameter (nm) R 2 = 0.91 y = 14.4 exp(t/6.3) Flight 33 (04/09) Flight 34 (04/10) Flight 35 (04/11) Exponential fit 4.6 5.3 6.5 7 7.6 7.8 0 1 2 3 4 5 6 7 x 10 ï Flexpart age (days) Absorption coefficient (m ï ) \ Hï H[SïW R 2 = 0.78 4.7 5.3 6.6 7.1 7.6 7.8 20 40 60 80 100 120 140 Flexpart age (days) ¨&2 PL[LQJ UDWLR SSEY \ H[SïW R 2 = 0.53 Fig. 3a Fig. 3b Fig. 3c Diameter (nm) Altitude (m) Concentration dN/dlogD (#/cm 3 ) SMPS OPC Fig. 3f 500 nm Soot-like inclusion Mineral Microscopy Spectroscopy Detection Freq. (%) TEM-EDX of indi- vidual submicron pollution particles Fig. 3g • Asian pollution air mass encountered. • Lidar backscattering signal enhanced between 3 and 4 km above sea level (Figure 3e). • The aircraft passed through the pollu- ted layer where aerosol size distribution measurements reveal enhanced concentrations and variations in the mean diameter of the accumulation mode (Fig. 3f and 3g). • Anthropogenic origin for the first part of the layer (boarded in red in Fig. 3e) while the second part (boarded in green), originated from biomass burning (found from optical properties studied by De Villiers et al. (2010,[2]). • Microscopy images and spectroscopy analyses of in-situ submicron aerosol samples collected during the flight (for the anthropogenic origin, Fig. 3h and 3i). Fig. 3e Fig. 3h Fig. 3i • North American boreal forest fires (BFF) particles trans- ported to Greenland sampled. Sulphate and organic mass concentration evolutions (Fig. 4a, red and green, respectively) measured by the AMS as well as the refractory mass (in black). • Temporal evolution of aerosol size distributions (Fig. 4b). • Mean aerosol size distributions related to BFF (from 3 POLARCAT flights) are compared to previous measure- ments of BFF performed by Petzold et al. (2007,[3]) and Fiebig et al. (2003,[4]) in Fig. 4c. • Findings in correlation with Schmale et al. (2011,[5]). 120 ° W 105 ° W 90 ° W 75 ° W 60 ° W 45 ° W 30 ° W 30 ° N 45 ° N 60 ° N 75 ° N Total precipitation (mm) 5 4 3 2 1 0 120 ° W 105 ° W 90 ° W 75 ° W 60 ° W 45 ° W 30 ° W 30 ° N 45 ° N 60 ° N 75 ° N RH (%) 100 80 60 40 20 0 !"#$$ !"#"$ !%#$$ !%#"$ !&#$$ !&#"$ !'#$$ $ $(& ! !(& ) )(& " "(& % *+,- /0*1 2344 5675-78938+674 /:;(, " 1 Sulphate Organics Refractory Boreal fires Boreal fires Anthropo. Clouds Clouds Fig. 4a Fig. 4b !" ! !" # !" $ !" % !" ! !" " !" ! !" # !" $ !" % &'()*+*, ./)0 12/3*/+,(+'2/ .453) $ 0 ___ 6*+7289 .#"":0 ___ ;'*<'= .#""$0 ___ >?'@ @+A9B Fig. 4c • Selected flight periods are related to enhanced CO mixing ratio (Fig. 4d) and higher values of the light absorption coefficient. • Elevated values of the volatilized volume fraction (Fig. 4e) are found (0.78 for this flight), thus indicating that a large part of particles were coated. • The accumulation mode measured during the POLARCAT-sum- mer campaign is less pronounced than observed during the other studies (Fig. 4c). This difference can be explained by wet scaven- ging occuring along the transport pathway of pollution particles from the source regions to Greenland. Fig. 4f and 4g are presenting ECMWF relative humidity (%) and total precipitation (mm) along the Hysplit back-trajectories. 13:00 13:30 14:00 14:30 15:00 15:30 16:00 50 100 150 200 Time (UT) mixing ratio (ppbv) 8 July CO Background Fig. 4d !" !" !" #$ %&' %&( %&) %&* %&+ %&, %&- . #/0 2344 50/6/74 8593:/9/;<= >03?:/57 @A 32B A C,% DEA 32B , FG9H Fig. 4e Fig. 4f Fig. 4g ACKNOWLEDGMENTS: The author would like to thank the French research agencies ANR, CNES, CNRS-INSU and IPEV as well as EUFAR. We acknowledge funding by the German Research Foundation (DFG) through the SPP 1294, by the state «Exzellenzcluster Geocycles» of Rheinland-Pfalz, and by the Max Planck Society. NILU researchers were supported by the Norwegian Research Council in the framework of POLARCAT-Norway and CLIMSLIP. We also would like to thank SAFIRE and Christophe Gourbeyre for their support during the planning and exe- cution of the French ATR-42 campaigns and, together with DT-INSU, for help with instrument integration. [1] Stohl, A., Forster, C., Frank, A., Seibert, P. and Wotawa, G.: Technical note: The Lagrangian particle dispersion model FLEXPART version 6.2, Atmos. Chem. Phys., 5, 2461-2474, doi: 10.5194/acp-5-2461-2005, 2005. [2] De Villiers, R. A., Ancellet, G., Pelon, J., Quennehen, B., Schwarzenboeck, A., Gayet, J. F. and Law, K. S.: Airborne measurements of aerosol optical properties related to early spring transport of mid-latitude sources into the Arctic, Atmos. Chem., Phys.,10, 5011-5030, doi:10.5194/acp-10-5011-2010,2010. [3] Petzold, A., Weinzierl, B., Huntrieser, H., Stohl, A., Real, E.,Cozic, J., Fiebig, M., Hendricks, J., Lauer, A., Law, K. S., Roiger, A., Schlager, H. and Weingartner, E.: Perturbation of the European free troposphere aerosol by North American forest fire plumes during the ICARTT-ITOP experiment in summer 2004, Atmos. Chem. Phys, 7, 5105-5127, doi: 10.5194/acp-10-5105-2007, 2007. [4] Fiebig, M., Stohl, A., Wendish, M., Eckhardt, S., and Petzold, A.: Dependence of solar radiative forcing of forest fire aerosol on ageing and state of mixture, Atmos. Chem. Phys., 3, 881-891, doi: 10.5194/acp-3-881-2003, 2003. [5] Schmale, J., Schneider, J., Ancellet, G., Quennehen, B., Stohl, A., Sodemann, H., Burkhart, J., Hamburger, T., Arnold, S. R., Schwarzenboeck, A., Borrmann, S. and Law, K. S.: Source identification and airborne chemical characterisation of aerosol pollution from long-range transport over Greenland during POLARCAT summer campaign 2008, Atmos. Chem. Phys. Discuss., 11, 7593-7658, doi: 10.5194/acpd-11-7593-2011, 2011. • Ageing of an European anthropogenic air mass is related to the increase of the mean diameter (from 33 to 51 nm) of the Aitken mode, while its concentration decreased from 860 to 165 particles/cm 3 . The air mass evo- lution is also seen in the decrease of the CO mixing ratio and of the light absorption coefficient (related to black carbon concentration). Since aero- sol volatility is constant during the 3 days, the Aitken mode growth is mainly due to particle coagulation. • Asian plumes contain very low concentration of Aitken mode particles while accumulation mode particles (and to a lower extent coarse mode) were enhanced. TEM-EDX analyses gave qualitative informations on the origin of pollution particles. Soot is present in more than 20% of the ana- lysed particles. contact: [email protected] • North American boreal forest fire particles transported to the Arctic were studied. Enhancement in CO mixing ratio, and sulphate and organics mass concentration were coupled to these air masses. Absorbing particles were mostly found in the Aitken mode while coated particles composed the accumulation mode. • The concentration of the accumulation mode particles was very low compared to previous studies. The difference is explained by potential wet scavenging occuring on the pathway of the air masses from the source re- gions to Greenland. SPRING SUMMER • 4 th International Polar Year • POLARCAT project lauched to study long- range transport of short-lived pollutant (particulates and gases) to the Arctic. • 12 flights out of Kiruna, Sweden, April 2008. • 12 flights out of Kangerlussuaq, Greenland, July 2008. Air mass origins along the flight tracks were determined from the analysis with the Lagrangian dispersion model FLEXPART [1] (Fig. 3e). • Anthropogenic air mass from Central Europe sampled 3 consecutive days (9, 10 and 11 April). • Air mass ageing characterisation by exponential decrease of both CO mixing ratio and light ab- sorption coefficient (i.e., BC concentrations). see Fig. 3a and 3b. • Aerosol size distributions measured and log-normally fitted in Fig. 3d. • Increase of the Aitken mode mean diameter and decrease of its concentration evident (Fig. 3c) Fig. 3e 9 April 10 April 11 April REFERENCES

Pollution transported to the Arctic during the POLARCAT

  • Upload
    others

  • View
    2

  • Download
    0

Embed Size (px)

Citation preview

Page 1: Pollution transported to the Arctic during the POLARCAT

Pollution transported to the Arctic during the POLARCAT-France spring and summer campaigns: source regions and aerosol properties

B. Quennehen1, A. Schwarzenboeck1, A. Matsuki2, J. Schmale3, H. Sodemann4*, J. Schneider3, G. Ancellet5, A. Stohl4, J. Pelon5

and K. Law5EGU2011 - 10962

XY50

3. SPRING CAMPAIGNA. European anthropogenic plume sample 3 consecutive days B. Asian anthropogenic and fire plumes

101 102 103 10410

100

101

102

103

104

R2 = 0.982R2 = 0.992R2 = 0.976

Diameter (nm)

Con

cent

ratio

ns d

N/d

logD

(#.c

m)

Asian anth. meas.Asian anth. fitAsian fires meas.Asian fires fitBackground meas.Background fit

4. SUMMER CAMPAIGN

1. CONTEXT

1 Laboratoire de Météorologie Physique (LaMP), Université Blaise Pascal, Clermont-Ferrand, France.2 Frontier Science Organisation, Kanazawa University, Japan.3 Particle chemistry dept., Max Planck Institute for Chemistry, Mainz, Germany.4 Norwegian Institute for Air Research, Kjeller, Norway.5 LATMOS-IPSL, UPMC Univ-Paris 6; Univ. Versailles St-Quentin; CNRS/INSU, UMR 8190, Paris, France.*now at Instiute for Atmospheric and Climate Science, ETH, Zürich, Switzerland.

5. SUMMARY

Polar regions are known to be more strongly impacted by global warming than other regions (IPCC, 2007). Previous studies on climate related processes in the Arctic atmosphere were mostly based on surface observations and many advances in measurement techniques were done since the previous airborne campaigns.

2. INSTRUMENTATIONPhysical properties:• Scanning Mobility Particle Sizer (SMPS)• Optical Particle Counter (OPC Grimm,TSI and PCASP 100-X, DMT)• Condensation Particle Counter (CPC 3010 & 3025, TSI)Chemical properties:• Aerodyne time of flight aerosol mass spectrometer (C-ToF-AMS, MPI, Mainz)• 2 stage cascade impactor (sub and super-micronic) + a posteriori spectros-copy and microscopy analyses (FSO, Kanazawa)• Gas phase: CO and O3 measurements (Mozart, LATMOS, Paris)Optical properties: • 1λ Particle Soot Absorption Photometer (PSAP, TSI)• 3λ Nephelometer (TSI)• Aerosol Lidar (LNG, LATMOS, Paris)

101 102 103 10410

100

101

102

103

104

R2 = 0.991R2 = 0.984

R2 = 0.976

R2 = 0.988R2 = 0.992R2 = 0.992R2 = 0.983

Diameter (nm)

Con

cent

ratio

ns d

N/d

logD

(#.c

m)

9 April meas.9 April fit10 April meas.10 April fit11 April meas.11 April fitBackground meas.Background fit

Fig. 3d

3 4 5 6 7 8 9 1020

25

30

35

40

45

50

55

60

65

70

FLEXPART age (days)

Aitk

en m

ode

mea

n di

amet

er (n

m)

R2 = 0.91y = 14.4 exp(t/6.3)

Flight 33 (04/09)Flight 34 (04/10)Flight 35 (04/11)Exponential fit

4.6 5.3 6.5 7 7.6 7.80

1

2

3

4

5

6

7 x 10

Flexpart age (days)

Abso

rptio

n co

effic

ient

(m)

R2 = 0.78

4.7 5.3 6.6 7.1 7.6 7.820

40

60

80

100

120

140

Flexpart age (days)

R2 = 0.53

Fig. 3a Fig. 3b Fig. 3c

Dia

met

er (n

m) Altitude (m

)

Concentration dN/dlogD (#/cm3)

SMPS

OPC

Fig. 3f

500 nm

Soot-like inclusion

Mineral

Microscopy

Spectroscopy

Det

ectio

n Fr

eq. (

%)

TEM-EDX of indi-vidual submicron pollution particles

Fig. 3g

• Asian pollution air mass encountered.• Lidar backscattering signal enhanced between 3 and 4 km above sea level (Figure 3e).• The aircraft passed through the pollu-ted layer where aerosol size distribution measurements reveal enhanced concentrations and variations in the mean diameter of the accumulation mode (Fig. 3f and 3g).• Anthropogenic origin for the first part of the layer (boarded in red in Fig. 3e) while the second part (boarded in green), originated from biomass burning (found from optical properties studied by De Villiers et al. (2010,[2]).• Microscopy images and spectroscopy analyses of in-situ submicron aerosol samples collected during the flight (for the anthropogenic origin, Fig. 3h and 3i).

Fig. 3e

Fig. 3h

Fig. 3i

• North American boreal forest fires (BFF) particles trans-ported to Greenland sampled.• Sulphate and organic mass concentration evolutions (Fig. 4a, red and green, respectively) measured by the AMS as well as the refractory mass (in black).• Temporal evolution of aerosol size distributions (Fig. 4b).• Mean aerosol size distributions related to BFF (from 3 POLARCAT flights) are compared to previous measure-ments of BFF performed by Petzold et al. (2007,[3]) and Fiebig et al. (2003,[4]) in Fig. 4c.• Findings in correlation with Schmale et al. (2011,[5]).

120 ° W

105 ° W

90° W 75° W 60° W

45° W

30° W

30 ° N

45 ° N

60 ° N

75 ° N

Total precipitation (mm)5 4 3 2 1 0

120 ° W

105 ° W

90° W 75° W 60° W

45° W

30° W

30 ° N

45 ° N

60 ° N

75 ° N

RH (%)100 80 60 40 20 0

!"#$$ !"#"$ !%#$$ !%#"$ !&#$$ !&#"$ !'#$$$

$(&

!

!(&

)

)(&

"

"(&

%

*+,-./0*1.

2344.5675-78938+674./:;(,

" 1.

SulphateOrganicsRefractory

Boreal �res Boreal �res Anthropo.

Clouds

Clouds Fig. 4a

Fig. 4b

!"! !"# !"$ !"%!" !

!""

!"!

!"#

!"$

!"%

&'()*+*,-./)0

12/3*/+,(+'2/-.453)

$ 0

___-6*+7289-.#"":0___-;'*<'=-.#""$0___->?'@-@+A9B

Fig. 4c

• Selected flight periods are related to enhanced CO mixing ratio (Fig. 4d) and higher values of the light absorption coefficient.• Elevated values of the volatilized volume fraction (Fig. 4e) are found (0.78 for this flight), thus indicating that a large part of particles were coated. • The accumulation mode measured during the POLARCAT-sum-mer campaign is less pronounced than observed during the other studies (Fig. 4c). This difference can be explained by wet scaven-ging occuring along the transport pathway of pollution particles from the source regions to Greenland. Fig. 4f and 4g are presenting ECMWF relative humidity (%) and total precipitation (mm) along the Hysplit back-trajectories.

13:00 13:30 14:00 14:30 15:00 15:30 16:0050

100

150

200

Time (UT)

mix

ing

ratio

(ppb

v)

8 July

COBackground

Fig. 4d

!" !" !" #$%&'

%&(

%&)

%&*

%&+

%&,

%&-

.

#/012344150/6/74

8593:/9/;<=1>03?:/571@A

32B1

1AC,%DEA

32B

,1FG9H

Fig. 4e

Fig. 4f Fig. 4g

ACKNOWLEDGMENTS:The author would like to thank the French research agencies ANR, CNES, CNRS-INSU and IPEV as well as EUFAR. We acknowledge funding by the German Research Foundation (DFG) through the SPP 1294, by the state «Exzellenzcluster Geocycles» of Rheinland-Pfalz, and by the Max Planck Society. NILU researchers were supported by the Norwegian Research Council in the framework of POLARCAT-Norway and CLIMSLIP. We also would like to thank SAFIRE and Christophe Gourbeyre for their support during the planning and exe-cution of the French ATR-42 campaigns and, together with DT-INSU, for help with instrument integration.

[1] Stohl, A., Forster, C., Frank, A., Seibert, P. and Wotawa, G.: Technical note: The Lagrangian particle dispersion model FLEXPART version 6.2, Atmos. Chem. Phys., 5, 2461-2474, doi: 10.5194/acp-5-2461-2005, 2005.[2] De Villiers, R. A., Ancellet, G., Pelon, J., Quennehen, B., Schwarzenboeck, A., Gayet, J. F. and Law, K. S.: Airborne measurements of aerosol optical properties related to early spring transport of mid-latitude sources into the Arctic, Atmos. Chem., Phys.,10, 5011-5030, doi:10.5194/acp-10-5011-2010,2010.[3] Petzold, A., Weinzierl, B., Huntrieser, H., Stohl, A., Real, E.,Cozic, J., Fiebig, M., Hendricks, J., Lauer, A., Law, K. S., Roiger, A., Schlager, H. and Weingartner, E.: Perturbation of the European free troposphere aerosol by North American forest fire plumes during the ICARTT-ITOP experiment in summer 2004, Atmos. Chem. Phys, 7, 5105-5127, doi: 10.5194/acp-10-5105-2007, 2007.[4] Fiebig, M., Stohl, A., Wendish, M., Eckhardt, S., and Petzold, A.: Dependence of solar radiative forcing of forest fire aerosol on ageing and state of mixture, Atmos. Chem. Phys., 3, 881-891, doi: 10.5194/acp-3-881-2003, 2003.[5] Schmale, J., Schneider, J., Ancellet, G., Quennehen, B., Stohl, A., Sodemann, H., Burkhart, J., Hamburger, T., Arnold, S. R., Schwarzenboeck, A., Borrmann, S. and Law, K. S.: Source identification and airborne chemical characterisation of aerosol pollution from long-range transport over Greenland during POLARCAT summer campaign 2008, Atmos. Chem. Phys. Discuss., 11, 7593-7658, doi: 10.5194/acpd-11-7593-2011, 2011.

• Ageing of an European anthropogenic air mass is related to the increase of the mean diameter (from 33 to 51 nm) of the Aitken mode, while its concentration decreased from 860 to 165 particles/cm3. The air mass evo-lution is also seen in the decrease of the CO mixing ratio and of the light absorption coefficient (related to black carbon concentration). Since aero-sol volatility is constant during the 3 days, the Aitken mode growth is mainly due to particle coagulation.• Asian plumes contain very low concentration of Aitken mode particles while accumulation mode particles (and to a lower extent coarse mode) were enhanced. TEM-EDX analyses gave qualitative informations on the origin of pollution particles. Soot is present in more than 20% of the ana-lysed particles.

contact: [email protected]

• North American boreal forest fire particles transported to the Arctic were studied. Enhancement in CO mixing ratio, and sulphate and organics mass concentration were coupled to these air masses. Absorbing particles were mostly found in the Aitken mode while coated particles composed the accumulation mode.• The concentration of the accumulation mode particles was very low compared to previous studies. The difference is explained by potential wet scavenging occuring on the pathway of the air masses from the source re-gions to Greenland.

SPR

ING

SUM

MER

• 4th International Polar Year• POLARCAT project lauched to study long-range transport of short-lived pollutant (particulates and gases) to the Arctic.• 12 flights out of Kiruna, Sweden, April 2008.• 12 flights out of Kangerlussuaq, Greenland, July 2008.

• Air mass origins along the flight tracks were determined from the analysis with the Lagrangian dispersion model FLEXPART [1] (Fig. 3e).• Anthropogenic air mass from Central Europe sampled 3 consecutive days (9, 10 and 11 April).• Air mass ageing characterisation by exponential decrease of both CO mixing ratio and light ab-sorption coefficient (i.e., BC concentrations). see Fig. 3a and 3b.• Aerosol size distributions measured and log-normally fitted in Fig. 3d.• Increase of the Aitken mode mean diameter and decrease of its concentration evident (Fig. 3c)

Fig. 3e

9 April 10 April 11 April

REF

EREN

CES