Daniel J. Jacob, Lin Zhang, Dylan B. Millet, Paul I

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USING SATELLITES TO BETTER UNDERSTAND THE POLICY-RELEVANT BACKGROUND OF SURFACE OZONE Daniel J. Jacob, Lin Zhang, Dylan B. Millet, Paul I. Palmer (now at Leeds), Tzung-May Fu, Solene Turquety (now at CNES), Monika Kopacz Supported by NASA with Kelly V. Chance and Thomas Kurosu (Harvard/SAO) and the TES, OMI, MOPITT Science Teams EPA POLICY-RELEVANT BACKGROUND (PRB): ozone that would be present in surface air in absence of North American anthropogenic emissions. Important for: setting the NAAQS - incremental risk from ozone above background; assessing intercontinental pollution influence

PROCESSES DETERMINING PRB OZONE AND RELEVANT SATELLITE OBSERVATIONS Ozone profiles (HRDLS) tropopause Strat-trop exchange Nitric acid (TES), NO2 (GOME, SCIA, OMI) Lightning Free tropospheric ozone (GOME) Ozone-CO correlations (TES) Intercontinental ozone pollution Continental boundary layer Hotspots, scars (MODIS, MISR) CO (MOPITT, AIRS, TES) Formaldehyde and NO2 columns (GOME, SCIA, OMI) Fires Biogenic VOCs and NOx

USING TES OZONE-CO DATA TO OBSERVE INTERCONTINENTAL OZONE POLLUTION 602 hPa TES observations, July 2005 Ozone-CO relationship downwind of Asia TES R=0.64 Slope=0.62 Ozone Ozone (ppbv) ppbv GEOS-Chem with AK R=0.84 Slope=0.50 Carbon monoxide (pppbv) CO ppbv Lin Zhang, Harvard

USING TES OZONE-CO DATA TO OBSERVE INTERCONTINENTAL OZONE POLLUTION 618 hPa TES observations, July 2005 Ozone-CO relationship downwind of eastern N. America TES R=0.38 Slope=0.75 Ozone Ozone (ppbv) ppbv GEOS-Chem with AK R=0.79 Slope=0.67 Carbon monoxide (pppbv) CO TES rertrieval noise weakens the correlation ppbv Lin Zhang, Harvard

TES OBSERVATION OF UPPER TROPOSPHERIC HNO3 tests lightning and other high-altitude sources of NOx Sept 20-21 2004 TES data: hot spots over N. America, Europe, and Africa (lightning, fuel combustion, biomass burning) GEOS-Chem model Susan S. Kulawik, JPL

INVERTING HCHO COLUMN DATA FOR ISOPRENE EMISSION Palmer et al. [2001, 2003] GOME slant columns (July 96) instrument sensitivity HCHO vmr Sigma coordinate Air Mass Factor with GEIA isoprene emission inventory GOME vertical columns (July 96) Southeast U.S. slope S HCHO column GEOS-Chem CTM non- isoprene contribution EISOPRENE EISOPRENE =(1/S)D WHCHO Observed HCHO, ppb Model HCHO, ppb with GOME isoprene emission inventory GOME isoprene emission inventory validation With HCHO surface air observations

TEST AMF CALCULATION AND HCHO SOURCE ATTRIBUTION Aircraft 0-10 km HCHO profiles over N. America in INTEX-A (summer 2004) Observed HCHO columns (A. Fried) A. Fried (NCAR) B.G. Heikes (URI) GEOS-Chem model Mean HCHO profiles Observed AMF Isoprene drives HCHO column variability; molar yield of 1.6 ± 0.5 Clouds are the principal source of AMF error (30% for cloud cover of 40%) Overall 40% error on inferred isoprene emission Millet et al. [2006]

GOME vs. MEGAN ISOPRENE EMISSION INVENTORIES (2001) MEGAN: new emission inventory for biogenic VOCs [Guenther et al., 2006] MEGAN GOME MEGAN GOME May Jun Jul Aug Sep Good accord for seasonal variation, regional distribution of emissions; GOME 10-30% higher than MEGAN depending on month, differences in hot spot locations Palmer et al. [2006]

PRELIMINARY HCHO COLUMN DATA FROM OMI (Jul. 2005) consistent with GOME maximum over southeast Atlantic states Thomas Kurosu and Kelly V. Chance (Harvard/SAO)

GOME HCHO COLUMNS OVER EAST ASIA (1996-2001) Monthly mean GOME HCHO vertical columns (VC) [10e16 molec cm-2] over East Asia averaged between 1996 and 2001 (left panel), compared with HCHO VC from the GEOS-Chem model using a priori emissions for 2001 (right panel). Both GOME and model show a distinctive seasonal progression reflecting the seasonality of photochemistry. Several discrepancy between GOME and model stands out: during winter months (DJF), GOME HCHO VC are consistently higher than those of the model, especially over China. The locations of the excess GOME HCHO match the locations of major Chinese cities and correspond well with the a priori anthropogenic emissions. During summer months (MJJA), GOME shows very high HCHO VC in central and northern China that are absent in the model. In particular, the GOME HCHO hot spot over North China Plain in June and July is a recurring feature seen consistently through the 6 years of observation. GOME is a UV solar backscatter instrument aboard the ERS-2 satellite launched in April 1995. HCHO slant columns are retrieved to < 4e16 molecules/cm2 sensitivity by directly fitting GOME radiance measurements at 337-356 nm [Chance et al., 2000]. In order to convert the slant columns to tropospheric vertical columns, the GEOS-Chem model is used to calculate the air mass factor (AMF). The raw slant columns contain biases associated with diffuser plate and non-tropospheric contamination; these biases are removed by forcing the GOME vertical columns to match those from the GEOS-Chem model over the remote Pacific. The a priori anthropogenic (FF+BF) emissions for Asia is from Streets et al. [2003] including ethene and xylene. Biomass burning emissions incorporate annual emission map for Asia from Streets et al. [2003], allocated seasonally according to Duncan et al. [2003]. For both anthropogenic and biomass burning emissions, CO and NOx have been adjusted based on inverse study results by Heald et al. [2004] and Wang et al. [2004]. Biogenic emissions are from MEGAN (Guenther et al. [2005]) except for acetone, which is from Jacob et al. [2002]. 1016 molecules cm-2 Winter data imply vehicular VOC emissions 3x Streets et al. [2003] inventory Large, previously recognized agricultural burning source in E. China in Jun-Jul Biogenic emissions 3x higher than MEGAN Tzung-May Fu , Harvard

USING MODIS TO MAP FIRES AND MOPITT CO TO OBSERVE EMISSIONS Bottom-up emission inventory (Tg CO) for North American fires in Jul-Aug 2004 From above-ground vegetation From peat 18 Tg CO 9 Tg CO MOPITT CO Summer 2004 GEOS-Chem CO x MOPITT AK without peat burning with peat burning MOPITT data support large peat burning source, pyro-convective injection to upper troposphere Solene Turquety, Harvard/CNES

USING ADJOINTS OF GLOBAL MODELS TO INVERT FOR EMISSIONS WITH HIGH RESOLUTION MOPITT daily CO columns (TRACE-P, Mar-Apr 2001) Scaling factors for a priori CO sources obtained with 4D-var using the GEOS-Chem model adjoint A priori emissions from Streets et al. [2003] and Heald et al. [2003] Monika Kopacz, Harvard

LOOKING TO THE FUTURE: L-1 AIR QUALITY MISSION Daedalus and Janus RFI concepts Continuous global observation of Earth sunlit disk with 5 km nadir resolution UV-IR spectrometers for observation of ozone, NO2, HCHO, CO, aerosols Global continuous view from L-1 critical for observation of hemispheric pollution, tropospheric background, greenhouse gases Bridge with interests of climate, upper atmosphere, space weather, solar physics communities L-1 point : 1.5 million km from Earth along Earth- Sun line NH and SH summer views from L-1: global continuous daytime coverage