Folkert Boersma, D. Jacob, R. Park, R. Hudman – Harvard University H. Eskes, P. Veefkind, R. van der A, P. Levelt, E. Brinksma – KNMI A. Perring, R. Cohen,

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Folkert Boersma, D. Jacob, R. Park, R. Hudman – Harvard University H. Eskes, P. Veefkind, R. van der A, P. Levelt, E. Brinksma – KNMI A. Perring, R. Cohen, T. Bertram, P. Wooldridge – University of California E. Bucsela, J. Gleason – NASA GSFC A. Gilliland – NOAA/EPA Validation and interpretation of OMI tropospheric NO 2 observations during INTEX-B

Integration of aircraft and satellite observations a.o. sub-satellite spirals for validation OMI trace gases Spiral 1 (down) Spiral 2 (up) Important goal INTEX-B: EOS-Aura Validation Criteria Cloud fraction < 20% Use all OMI pixels covered by spatial extent spiral Use of KNMI analysed near-real time product (

DC8: molec. cm -2 OMI: 2.62 ± molec. cm -2 (n = 19) Berkeley TD/LIF Validation of OMI tropospheric NO 2 : 4 March 2006

Validation of OMI tropospheric NO 2 : 9 March 2006 DC8: molec. cm -2 OMI: 1.25 ± molec. cm -2 (n = 3) OMI and DC8 seem to capture outflow of pollution along the Mexican East coast

All spiral flights during March 2006 All spirals r = 0.89 n = 18 DC8-OMI: molec. cm -2 RMS: molec. cm -2 Mexico City Remote Gulf of Mexico

Lowest DC8 pressure:772 hPa Average p surf (OMI): 853 hPa Standard procedure: extrapolate to OMI surface level. Mexico City outlier On average extrapolated fraction: 13% Outlier extrapolated fraction: 78%

Take differences of individual OMI pixels with matching DC8 columns 128 OMI pixels Center Gaussian = molec. cm -2 Width Gaussian = 0.59 molec. cm -2 Mexico City Statistical analysis

GEOS-ChemOMI Land DC8 GEOS-Chem with EPA NEI99 over U.S. and BRAVO over Mexico GEOS-Chem model evaluation with DC8 Ocean GEOS-Chem OK over Gulf of Mexico OMI biased low over Gulf of Mexico relative to both DC8 and GEOS-Chem GEOS-Chem biased high over US in INTEX-B domain: Are EPA NEI99 emissions too high? March 2006

OMI tropospheric NO 2 generally consistent with DC8 (r=0.89, n=18) - Bias < molec. cm -2 - Precision ~ molec. cm -2 (~50% in range molec. cm -2 ) OMI biased low over ocean Uncertainties in DC8 column construction over strongly polluted areas Indications that NEI99 emissions overestimate March 2006 emissions Validation: what do we see with INTEX-B? Use OMI and GEOS-Chem to evaluate EPA NEI99 emissions over the USA

Compare monthly mean OMI and GEOS-Chem NO 2 OMI NEI99/BRAVO Overall pattern is captured Take a more detailed look at the differences: GEOS-Chem too high (+40%) over southeastern U.S. and midwest too low over Mexico (up to -50%)

EPA emission reports OMI Studies by Richter et al. (2005) and van der A et al. (2006) also show negative trend in NO 2 columns Power plants Other Industry Mobile Trend Ronald van der A (KNMI)

r 2 =0.84 (n=118)r 2 =0.86 (n=118) Improve EPA NEI99 emissions SVD-type method - Industry: -40% ( ) - Power Industry: -40% consistent with NOx SIP call - (N)Onroad Mobile: 0% Compare top down and improved NEI99 emissions: Mobile Local increases in mobile emissions?

End of presentation

Conclusions INTEX-B allows integration of aircraft, satellite and model data OMI NO 2 is generally consistent with DC8 NO 2 OMI NO 2 has a small, negative bias over the ocean (~ molec. cm -2 ) Indications from DC8 and OMI that EPA NEI99 emissions are too high in the eastern US 40% decrease in Industry and Power Plant NO x emissions removes model bias in eastern and south eastern US

r 2 =0.86 (n=118) Conclusions OMI GEOS-Chem with a posteriori emission – Randall Martin

Compare Top-down and a priori emissions GEOS-Chem Use OMI columns and modelled emission respons to compute OMI top-down emissions – Focus on eastern US

Compare top-down and EPA NEI99 emissions OMIEPA NEI99 r 2 =0.84 (n=118) EPA NEI99 too high over southeastern U.S. and midwest

Mexico OMI NO 2 columns GEOS-Chem BRAVO too low for Mexico Comparison influenced by OMI negative bias over the ocean? Mexico (n=37)

Verdeling emissies