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