Improving OMI NO 2 retrievals over biomass burning: towards a measurement-based AMF

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retrievals over biomass retrievals over biomass burning: towards a burning: towards a measurement-based AMF measurement-based AMF N. Bousserez, R. V. Martin, L. N. Lamsal, J. Mao, R. Cohen, and B. R. Anderson

description

Improving OMI NO 2 retrievals over biomass burning: towards a measurement-based AMF. N. Bousserez, R. V. Martin, L. N. Lamsal, J. Mao, R. Cohen, and B. R. Anderson. NO 2 retrieval. Ω v = Ω s /AMF. Ω v = Vertical Column. Ω s = Slant Column. Spectral fitting. AMF = Air Mass Factor. - PowerPoint PPT Presentation

Transcript of Improving OMI NO 2 retrievals over biomass burning: towards a measurement-based AMF

Page 1: Improving OMI NO 2  retrievals over biomass burning: towards a measurement-based AMF

Improving OMI NOImproving OMI NO22 retrievals retrievals over biomass burning: over biomass burning:

towards a measurement-towards a measurement-based AMFbased AMF

N. Bousserez, R. V. Martin, L. N. Lamsal, J. Mao, R. Cohen, and B. R. Anderson

Page 2: Improving OMI NO 2  retrievals over biomass burning: towards a measurement-based AMF

NONO22 retrieval retrieval

Ωv = Ωs

/AMF

Ωs = Slant ColumnΩv = Vertical Column

AMF = Air Mass FactorSpectral fitting

Radiative transfer calculation

Scattering weights(Radiative transfer model + model output)

Shape factor: normalized NO2 profile(model output)

Geometric correction

Uncertainties dominated by errors in AMF ~30-55 % over polluted area (Boersma et al. 2004)

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QuestionsQuestions

Fires are random events that cannot be easily simulated in real-time in models.

Fires emit important quantities of NOx and aerosols.

Impact of fire emissions on AMF calculation?

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ARCTAS 2008 experimentARCTAS 2008 experiment

Summer phase (June, 18 - July, 13) Boreal forest fires over central Canada DC-8 measurements:

NOx concentrations

Aerosol optical properties

NASA DC-8

DC-8 flight tracks

Total number of fires

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DABEX 2006 experiment DABEX 2006 experiment (AMMA SOP-0)(AMMA SOP-0)

• Dry season (Jan., 13 – Feb., 2)• Savannah fires• FAAM BAe 146 aircraft:

NO2 measurementsAerosol optical properties

• AERONET stations:Aerosols optical properties

FAAM BAe 146

FAAM BAe 146 flight tracks

Total number of fires

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Modeling toolsModeling tools

LIDORT radiative transfer model Multilayer atmosphere with multiple scattering (discrete ordinate

method) 0.5 km vertical resolution INPUTS: viewing geometry, cloud fraction, cloud pressure, surface

albedo, aerosol optical properties, NO2 shape profile

GEOS-Chem near-real time simulation: GEOS-Chem v8-01-01 Modifications:

◦ David Streets 2006 emissions over SE Asia & China◦ FLAMBE daily biomass burning emissions

GEOS-5 Metfields Horizontal Grid: 2º lat x 2.5º lon Vertical Grid: Reduced 47 layers

Provide NO2 shape profiles + aerosol optical properties profiles

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GC vs. aircraft measurementsGC vs. aircraft measurements

aircraft meas.GC

Shape factor Shape factor

Extinction(km-1) Extinction(km-1)

ARCTAS DABEX

(measurements impacted by biomass burning only)

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Aerosol sensitivity analysisAerosol sensitivity analysis

ARCTAS DABEX

Aerosol correction factor

GC extinction GC extinction

Aerosol correction factor

CALIPSOCALIPSO

aerosols

Aerosol cor =AMF

AMF w/o aero

Mean: 3%Mean: -18%

shielding effect

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Aerosol correction = 1-α.AOD + Cld frac.AOD

Needs for OMI AOD at 440 nm

Combine with AI to detect elevated aerosol layer?

Local measurement-based correction for Local measurement-based correction for aerosols?aerosols?

Aerosol artefact: Aerosol layer increases cloud fractionIncreases aerosol correction

Cloud impact on aerosol correction African savanna aerosol correction

R = 0.81

Y = 0.91 X

Cloud fraction 1 – 0.18 AOD + AOD*Cloud fraction

Ae

roso

l co

rre

ctio

n

Ae

roso

l co

rre

ctio

n

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Shape factor Shape factor errorserrors

• Space & time variability of emissions

Shape factors:

GC pixel

over fire

• Representativeness errors

Standard simulations use climatology We use a daily biomass burning inventory

GC pixel

(MODAPS)

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Shape factor correction dominates BB Shape factor correction dominates BB correctioncorrection

-38% -32%

-62% -69%

DABEX

ARCTAS

Mean AMF correction:

Mean AMF correction:

shape factor bb correction (shape factor + aerosol) bb correction

Shape factor correction only ~ total BB correction

Shape factor cor =AMF w/o bb

AMF

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Development of a measurement-based shape factor Development of a measurement-based shape factor

correctioncorrection

A B C

NO2 Correction = C

A

ΔNO2 = A - B

B

shape factor

retrieved profile

GC-derived relationship

true profile

profile w/o bb

“perfect” retrievalreference column

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DABEX

Orig =OMI DP_GC

New = OMI w/ measurement-based AMF OrigΔNO2 =

New – Orig

Proof of conceptProof of concept

Orig MODIS AOD

ΔNO2

06/30-07/10 average

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New (measurement-based AMF)

Temporal correlation

Indirect validation: OMI-derived vs. ground-based surface Indirect validation: OMI-derived vs. ground-based surface concentrationsconcentrations

r = 0.60

r = 0.51

Orig (OMI DP_GC)

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ConclusionConclusion

Canadian boreal fires: aerosol correction increases AMF but negligible (mean ~ +3%)

Western Africa savanna fires: aerosol correction decreases AMF (mean ~ -18%) shielding effect due to an elevated aerosol layer.

Results show paths toward a measurement-based correction for aerosols over savanna fires.

Shape factor perturbation dominates the AMF correction associated with fire emissions.

Development of a measurement-based AMF.First evaluations show improvements

compared to the original product.

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