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

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Presentation on theme: "N. Bousserez, R. V. Martin, L. N. Lamsal, J. Mao, R. Cohen, and B. R"— Presentation transcript:

1 Improving OMI NO2 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

2 NO2 retrieval Ωv = Ωs /AMF Ωv = Vertical Column Ωs = Slant Column
Spectral fitting AMF = Air Mass Factor Radiative transfer calculation Most of you are familiar with the algorithm used in the OMI NO2 retrieval… Geometric correction Scattering weights (Radiative transfer model + model output) Shape factor: normalized NO2 profile (model output) Uncertainties dominated by errors in AMF  ~30-55 % over polluted area (Boersma et al. 2004)

3 Questions 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?

4 ARCTAS 2008 experiment Summer phase (June, 18 - July, 13)
Boreal forest fires over central Canada DC-8 measurements: NOx concentrations Aerosol optical properties Total number of fires Measurements are used to evaluate the model outputs (don’t mention GC yet) NASA DC-8 DC-8 flight tracks

5 DABEX 2006 experiment (AMMA SOP-0)
Dry season (Jan., 13 – Feb., 2) Savannah fires FAAM BAe 146 aircraft: NO2 measurements Aerosol optical properties AERONET stations: Aerosols optical properties Total number of fires FAAM BAe 146 FAAM BAe 146 flight tracks

6 Modeling 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 v 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

7 GC vs. aircraft measurements
(measurements impacted by biomass burning only) ARCTAS DABEX aircraft meas. GC Shape factor Shape factor Talk about SSA and AOD validation using AERONET also Extinction(km-1) Extinction(km-1)

8 Aerosol sensitivity analysis
ARCTAS DABEX AMF Mean: 3% Aerosol cor = Mean: -18% AMF w/o aero Aerosol correction factor Aerosol correction factor shielding effect GC extinction GC extinction aerosols CALIPSO CALIPSO

9 Local measurement-based correction for aerosols?
Cloud impact on aerosol correction African savanna aerosol correction Aerosol correction Aerosol correction R = 0.81 Y = 0.91 X Cloud fraction 1 – 0.18 AOD + AOD*Cloud fraction Aerosol correction = 1-α.AOD + Cld frac.AOD Aerosol artefact: Aerosol layer increases cloud fraction Increases aerosol correction Needs for OMI AOD at 440 nm Combine with AI to detect elevated aerosol layer?

10 Shape factor errors Shape factors: over fire GC pixel
Representativeness errors GC pixel Space & time variability of emissions Standard simulations use climatology We use a daily biomass burning inventory (MODAPS)

11 Shape factor correction dominates BB correction
AMF Shape factor cor = shape factor bb correction (shape factor + aerosol) bb correction AMF w/o bb DABEX Mean AMF correction: -62% -69% ARCTAS -38% Mean AMF correction: -32% Shape factor correction only ~ total BB correction

12 Development of a measurement-based shape factor correction
retrieved profile true profile reference column “perfect” retrieval A B C profile w/o bb C NO2 Correction = A A - B ΔNO = B GC-derived relationship

13 Proof of concept Orig =OMI DP_GC New – Orig ΔNO2 =
New = OMI w/ measurement-based AMF Orig ΔNO2 = New – Orig 06/30-07/10 average DABEX MODIS AOD Orig ΔNO2

14 (measurement-based AMF)
Indirect validation: OMI-derived vs. ground-based surface concentrations Temporal correlation Orig (OMI DP_GC) This method can also be applied to anthropogenic emissions… New (measurement-based AMF)

15 Conclusion 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.

16 THANK YOU

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