retrieval of vertical columns of sulfur dioxide from sciamachy and omi: air mass factor algorithm...

1
0 2 4 6 8 10 12 1000 900 800 700 600 500 400 300 200 0.0 0.8 1.6 2.4 0 2 4 6 8 10 12 1000 900 800 700 600 500 400 300 200 0.0 0.2 0.4 0.6 0 2 4 6 8 10 12 1000 900 800 700 600 500 400 300 200 0 2 4 6 8 10 12 1000 900 800 700 600 500 400 300 200 0 1 2 3 0 1 2 3 P re ssu re [h P a] SO 2 S h ap e F a cto r [u n itle ss] IN T E X -A :Land G E O S -C hem In -situ 12 152 172 126 89 209 78 113 70 42 53 61 70 98 138 224 In -situ M ixin g R a tio [pp b v] SO 2 S ha p e F a cto r [u n itle ss] IN TE X -A :O cean G E O S -C hem In -situ 8 3 3 4 5 9 7 8 11 7 8 12 18 16 15 In -situ M ixin g R a tio [p p b v] 3 3 2 4 7 12 12 18 11 12 11 13 18 29 23 P re ssu re [h P a] SO 2 S h ap e F a cto r [u n itle ss] IN TE X -B :H ouston G E O S -C hem In -situ SO 2 S ha p e F a cto r [u n itle ss] IN T E X -B :N o rth P a cific G E O S -C hem In -situ 31 316 353 254 197 220 161 160 115 111 127 151 106 162 283 112 In -situ M ixing R atio [p p b v] In -situ M ixing R a tio [p p b v] Retrieval of Vertical Columns of Sulfur Dioxide from SCIAMACHY and OMI: Air Mass Factor Algorithm Development, Validation, and Error Analysis Chulkyu Lee 1 , Randall V. Martin 1,2 , Aaron van Donkelaar 1 , Gray O’Byrne 1 , Nickolay Krotkov 3 , Andreas Richter 4 , Greg Huey 5 , and John S. Holloway 6 1 Department of Physics and Atmospheric Science, Dalhousie Univ., Canada; 2 Harvard-Smithsonian Center for Astrophysics, USA, 3 Goddard Earth Sciences and Technology Center, Univ. of Maryland, USA, 4 Institute of Environmental Physics and Remote Sensing, Univ. of Bremen, Germany, 5 School of Earth and Atmospheric Sciences, Georgia Institute of Technology, USA, 6 NOAA Earth System Research Laboratory, USA We develop an improved retrieval of sulfur dioxide (SO 2 ) vertical columns from two satellite instruments (SCIAMACHY and OMI) that measure ultraviolet solar backscatter. For each SCIAMACHY and OMI observation, a local air mass factor (AMF) algorithm converts line-of-sight “slant” columns to vertical columns using altitude-dependent scattering weights computed with a radiative transfer model (LIDORT), weighted by relative vertical SO 2 profile (shape factor) determined locally with a global atmospheric chemistry model (GEOS-Chem). The scattering weights account for viewing geometry, surface albedo, cloud scattering, absorption by ozone, and scattering and absorption by aerosols. Mean SO 2 shape factors simulated with GEOS-Chem and used in the AMF calculation are highly consistent with airborne in situ measurements (INTEX-A and INTEX-B); differences would affect the retrieved SO 2 columns by 10%. The retrieved vertical columns are validated with coincident airborne in situ measurements (INTEX-A, INTEX-B, and a campaign over East China). The annual mean AMF errors are estimated to be 35-70% in polluted regions (e.g., East Asia and the eastern US) and less than 10% over clear ocean regions. The overall SO 2 error assessment is 45-80% for yearly averages over polluted regions. Seasonal mean SO 2 columns retrieved from SCIAMACHY and OMI for 2006 are significantly spatially correlated with those from GEOS-Chem, in particular over the United States (r = 0.85 for SCIAMACHY and 0.82 for OMI). A sensitivity study confirms the sensitivity of SCIAMACHY and OMI to anthropogenic SO 2 emissions. ABSTRACT Scattering weight I o I B Earth Surface Radiative Transfer Model (LIDORT) (η) is temperature-dependent cross- section Calculate ω(η) as function of: • solar and viewing zenith angle (θ s , θ v ) • surface reflectivity • pressure, aerosol • clouds O 3 column: For individual scenes 1 ) ( ) ( T d S AMF Columns Vertical Columns Slant AMF G Shape factor SO 2 mixing ratio, C SO2 (η) 2 ) ( ) ( SO air C S Atmospheric Chemistry Model (GEOS-Chem) Local AMF Calculation ) (ln ) ( 1 ) ( B e G I AMF eta (η) dt(η) -0 .3 0.0 0.3 0.6 0.9 1.2 1.5 1.8 -0 .5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 -0 .3 0.0 0.3 0.6 0.9 1.2 1.5 1.8 -0.3 0.0 0.3 0.6 0.9 1.2 1.5 1.8 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 O M IS O 2 [DU ] In S itu S O 2 [D U] - - - R educed m a jo r-a xis lin e a r fit Y = 1.61X + 0.21 (r = 0.71) U sin g co n sta n t A M F = 0.36 In S itu S O 2 [DU] - - - R educed m a jo r-a xis lin e a r fit Y = 0.95X + 0.05 (r = 0.92) S C IA M A C H Y SO 2 [D U] - - - R educed m a jo r-a xis lin e a r fit Y = 1.38X + 0.01 (r = 0.78) W ith O ld A MF U sin g co n sta n t A M F = 0.88 - - - R educed m a jo r-a xis lin e a r fit Y = 1.12X + 0.06 (r = 0.89) W ith N ew AMF Cloud Radiance Fraction < 0.2; SZA < 70 GC at OMI overpass within 10% of GC at SCIAMACHY overpass GEOS-Chem SO 2 changes by ×2 OMI SO 2 AMF changes < 30% Local AMFs improve agreement of OMI and SCIAMACHY with in-situ Validation of SO 2 vertical columns from SCIAMACHY and OMI with airborne in-situ measurements for INTEX-A and B (r = 0.9) Validation of GEOS-Chem SO 2 shape factors with airborne in-situ measurements for INTEX-A and B (<10% change in AMF) Evaluation of GEOS-Chem Simulation of Shape Factor Slant Columns with Reference Sector Method Seasonal Air Mass Factors for 2006 Seasonal Mean Vertical Columns for 2006 Calculated at 313.2 nm Cloud Radiance Fraction < 0.2; SZA < 70 SCIAMACHY AMF at 319.7 nm within 25% Local AMF Increases Agreement with INTEX Aircraft Measurements Summary Sensitivity of Retrieved SO 2 to ΔEmissions Differences between modeled and measured shape factors would change AMF by <10% Scatter plots of tropospheric SO2 vertical columns versus those from in-situ measurements during INTEX-A (triangles) and INTEX-B (squares). The constant AMF refers to the OMI operational PBL product. The local AMF is developed here. Sensitivity of SO2 columns to errors in anthropogenic emissions. The top panel is the difference between GEOS-Chem simulations of SO2 columns using meteorology for 2006 with anthropogenic emissions for 2006 minus one with emissions for 1998. The bottom panel is the difference between OMI SO2 columns for 2006 retrieved using SO2 shape factors from the GEOS-Chem simulations with anthropogenic SO2 emissions for either 2006 or 1998. Funding: NSERC and NASA

Upload: holly-cole

Post on 19-Jan-2016

219 views

Category:

Documents


1 download

TRANSCRIPT

Page 1: Retrieval of Vertical Columns of Sulfur Dioxide from SCIAMACHY and OMI: Air Mass Factor Algorithm Development, Validation, and Error Analysis Chulkyu Lee

0 2 4 6 8 10 12

1000

900

800

700

600

500

400

300

2000.0 0.8 1.6 2.4

0 2 4 6 8 10 12

1000

900

800

700

600

500

400

300

200

0.0 0.2 0.4 0.6

0 2 4 6 8 10 12

1000

900

800

700

600

500

400

300

200

0 2 4 6 8 10 12

1000

900

800

700

600

500

400

300

200

0 1 2 3

0 1 2 3

Pre

ssur

e [h

Pa]

SO2 Shape Factor [unitless]

INTEX-A: Land GEOS-Chem In-situ

12

152

1721268920978113704253617098138224

In-situ Mixing Ratio [ppbv]

SO2 Shape Factor [unitless]

INTEX-A: Ocean GEOS-Chem In-situ

8

3

3

45978117812181615

In-situ Mixing Ratio [ppbv]

3

3

2

4712121811121113182923

Pre

ssur

e [h

Pa]

SO2 Shape Factor [unitless]

INTEX-B: Houston GEOS-Chem In-situ

SO2 Shape Factor [unitless]

INTEX-B: North Pacific GEOS-Chem In-situ

31

316

353254197220161160115111127151106162283112

In-situ Mixing Ratio [ppbv]

In-situ Mixing Ratio [ppbv]

Retrieval of Vertical Columns of Sulfur Dioxide from SCIAMACHY and OMI: Air Mass Factor Algorithm Development, Validation, and Error

AnalysisChulkyu Lee1, Randall V. Martin1,2, Aaron van Donkelaar1, Gray O’Byrne1, Nickolay Krotkov3, Andreas Richter4, Greg Huey5, and John S. Holloway6

1Department of Physics and Atmospheric Science, Dalhousie Univ., Canada; 2Harvard-Smithsonian Center for Astrophysics, USA, 3Goddard Earth Sciences and Technology Center, Univ. of Maryland, USA, 4Institute of Environmental Physics and Remote Sensing, Univ. of Bremen, Germany, 5School of Earth and Atmospheric Sciences, Georgia Institute of Technology, USA, 6NOAA Earth System Research Laboratory, USA

We develop an improved retrieval of sulfur dioxide (SO2) vertical columns from two satellite instruments (SCIAMACHY and OMI) that measure ultraviolet solar backscatter. For each SCIAMACHY and OMI observation, a local air mass factor (AMF) algorithm converts line-of-sight “slant” columns to vertical columns using altitude-dependent scattering weights computed with a radiative transfer model (LIDORT), weighted by relative vertical SO2 profile (shape factor) determined locally with a global atmospheric chemistry model (GEOS-Chem). The scattering weights account for viewing geometry, surface albedo, cloud scattering, absorption by ozone, and scattering and absorption by aerosols. Mean SO2 shape factors simulated with GEOS-Chem and used in the AMF calculation are highly consistent with airborne in situ measurements (INTEX-A and INTEX-B); differences would affect the retrieved SO2 columns by 10%. The retrieved vertical columns are validated with coincident airborne in situ measurements (INTEX-A, INTEX-B, and a campaign over East China). The annual mean AMF errors are estimated to be 35-70% in polluted regions (e.g., East Asia and the eastern US) and less than 10% over clear ocean regions. The overall SO2 error assessment is 45-80% for yearly averages over polluted regions. Seasonal mean SO2 columns retrieved from SCIAMACHY and OMI for 2006 are significantly spatially correlated with those from GEOS-Chem, in particular over the United States (r = 0.85 for SCIAMACHY and 0.82 for OMI). A sensitivity study confirms the sensitivity of SCIAMACHY and OMI to anthropogenic SO2 emissions.

ABSTRACT

Scattering weight

IoIB

Earth Surface

Radiative Transfer Model(LIDORT)

(η) is temperature-dependent cross-section

Calculate ω(η) as function of:• solar and viewing zenith angle (θs, θv)• surface reflectivity• pressure, aerosol• clouds• O3 column:

For individual scenes

1

)()(T

dSAMFColumnsVertical

ColumnsSlantAMF G

Shape factor

SO2 mixing ratio, CSO2(η)

2

)()(SO

airCS

Atmospheric Chemistry Model(GEOS-Chem)

Local AMF Calculation

)(ln)(1

)( B

eG

I

AMF

eta

(η)

dt(η)

-0.3 0.0 0.3 0.6 0.9 1.2 1.5 1.8-0.5

0.0

0.5

1.0

1.5

2.0

2.5

3.0

-0.3 0.0 0.3 0.6 0.9 1.2 1.5 1.8-0.3

0.0

0.3

0.6

0.9

1.2

1.5

1.8

0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

OM

I SO

2 [D

U]

In Situ SO2 [DU]

- - - Reduced major-axis linear fit Y = 1.61X + 0.21 (r = 0.71)

Using constant AMF = 0.36

In Situ SO2 [DU]

- - - Reduced major-axis linear fit Y = 0.95X + 0.05 (r = 0.92)

SC

IAM

AC

HY

SO

2 [D

U]

- - - Reduced major-axis linear fit Y = 1.38X + 0.01 (r = 0.78)

With Old AMF

Using constant AMF = 0.88

- - - Reduced major-axis linear fit Y = 1.12X + 0.06 (r = 0.89)

With New AMF

Cloud Radiance Fraction < 0.2; SZA < 70

GC at OMI overpass within 10% of GC at SCIAMACHY overpass

GEOS-Chem SO2

changes by ×2

OMI SO2 AMFchanges < 30%

Local AMFs improve agreement of OMI and SCIAMACHY with in-situValidation of SO2 vertical columns from SCIAMACHY and OMI with airborne

in-situ measurements for INTEX-A and B (r = 0.9)Validation of GEOS-Chem SO2 shape factors with airborne in-situ

measurements for INTEX-A and B (<10% change in AMF)Large signal from anthropogenic emissions in retrieved SO2 columns

Evaluation of GEOS-Chem Simulation of Shape Factor

Slant Columns with Reference Sector Method

Seasonal Air Mass Factors for 2006

Seasonal Mean Vertical Columns for 2006

Calculated at 313.2 nmCloud Radiance Fraction < 0.2; SZA < 70SCIAMACHY AMF at 319.7 nm within 25%

Local AMF Increases Agreement with INTEX Aircraft Measurements

Summary

Sensitivity of Retrieved SO2 to ΔEmissions

Differences between modeled and measured shape factors would change AMF by <10%

Scatter plots of tropospheric SO2 vertical columns versus those from in-situ measurements during INTEX-A (triangles) and INTEX-B (squares). The constant AMF refers to the OMI operational PBL product. The local AMF is developed here.

Sensitivity of SO2 columns to errors in anthropogenic emissions. The top panel is the difference between GEOS-Chem simulations of SO2 columns using meteorology for 2006 with anthropogenic emissions for 2006 minus one with emissions for 1998. The bottom panel is the difference between OMI SO2 columns for 2006 retrieved using SO2 shape factors from the GEOS-Chem simulations with anthropogenic SO2 emissions for either 2006 or 1998.

Funding: NSERC and NASA