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Rachel Silvern, Daniel Jacob

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1 Rachel Silvern, Daniel Jacob
Interpreting satellite NO2 observations over the US: the importance of accounting for the free tropospheric background Rachel Silvern, Daniel Jacob Silvern, R.F., D.J. Jacob, L.J. Mickley, M.P. Sulprizio, K.R. Travis, E.A. Marais, R.C. Cohen, J.L. Laughner, S. Choi, J. Joiner, and L.N. Lamsal, Using satellite observations of tropospheric NO2 columns to infer long-term trends in US NOx emissions: the importance of accounting for the free tropospheric NO2 background, Atmos. Chem. Phys., in press, 2019.

2 Satellite observations of tropospheric NO2 columns as top-down constraints on NOx emissions
OMI NO2, summer 2005 Russell et al. , ACP 2012

3 OMI observations of tropospheric NO2 columns show fast decrease of US NOx emissions, 2005-2011
OMI NO2, summer 2011 OMI NO2, summer 2005 30% decrease in NOx emissions from 2005 to 2011 Russell et al., ACP 2012

4 US NOx emissions have continued to decrease according to EPA…
but OMI tropospheric NO2 column observations suggest otherwise! Mobile sources Industry NOx emissions, Mt a-1 EPA National Emission Inventory (NEI): 53% sustained decrease of NOx emissions over EPA, 2018 OMI NO2 columns over CONUS, : flat after 2009 Jiang et al., PNAS 2018 % change relative to 2009

5 OMI annual NO2 trends over CONUS, 2005-2017
Silvern et al., ACPD 2019

6 Hypothesis #1: EPA NOx emission trends are wrong
Mobile sources in EPA inventory are too high, so maybe trends are wrong as well? NASA SEAC4RS aircraft campaign, Aug Sep 2013 Observed GEOS-Chem with EPA NOx emissions with EPA NOx emissions/2 nitrate wet deposition fluxes, Aug-Sep 2013 Travis et al., ACP 2016 Circles: NADP observations Contours: GEOS-Chem with EPA emissions/2 model bias of -7%

7 Hypothesis #2: US NOx emissions are now so low that OMI mostly sees background
OMI NO2 sensitivity vs. altitude Mean SEAC4RS NO2 profile over Southeast NOAA (Ryerson) Berkeley (Cohen) GEOS-Chem Boundary layer below 2 km accounts for only 20-35% of tropospheric NO2 column as seen by OMI Travis et al. , ACP 2016; Silvern et al., GRL 2018

8 Use GEOS-Chem to interpret trends from different data sets
GEOS-Chem NOx emissions (Tg N a-1) GEOS-Chem simulation 0.5ox0.625o (50 km) resolution EPA – 40% NO2 column, 1015 cm-2 NO2 column % change relative to 2005 OMI (NASA retrieval) GEOS-Chem GEOS-Chem driven by EPA emission trend does not reproduce flat OMI trend after 2009 GEOS-Chem NOx tropospheric column lifetime decreases by 5% from 2005 to 2017

9 2005-2017 trends in surface data
AQS NO2 (urban) Observed GEOS-Chem SEARCH NO2 (2 rural sites) Silvern et al., ACPD 2019 NADP nitrate wet deposition GEOS-Chem matches the observed relative trends: - surface NO2 is most sensitive to anthropogenic emissions - nitrate deposition is sensitive to background (soils, lightning, transport from outside US) US anthropogenic sources contribute only 50% of nitrate wet deposition in 2005, 31% in 2017

10 Comparing 2005-2017 relative trends for the different quantities
Fractional change relative to 2005 Nitrate wet deposition OMI NO2 column SEARCH NO2 AQS NO2 EPA emissions We deduce that: - EPA trend in NOx emissions is correct (except maybe in past few years?) - OMI NO2 columns have strong background influence - GEOS-Chem underestimates free tropospheric background NO2

11 Separating OMI trends by urban vs. rural, winter vs. summer
Trends in NO2 columns relative to 2005 (%) urban winter rural summer OMI shows: - steady decrease in urban winter where background is relatively low - no trend in rural summer where background is relatively high OMI NO2 is useful to detect hotspots and plumes, but inference of regional emissions is far more uncertain Silvern et al., ACPD 2019

12 NO2 vertical profiles in SEAC4RS
GEOS-Chem underestimates free tropospheric NO2 in winter, upper tropospheric NO2 in summer OMI cloud-sliced free tropospheric NO2 (6-10 km): Sungyeon Choi and Joanna Joiner, NASA NO2 vertical profiles in SEAC4RS (Aug-Sep 2013) GEOS-Chem NOAA (Ryerson) Berkeley (Cohen) GEOS-Chem Marais et al. [ACP 2018] Could high NO2 observed in upper troposphere extend into the lowermost stratosphere?

13 Implications for TEMPO
US NOx emissions are now so low that satellite measurements of tropospheric NO2 columns over the US may be dominated by background sources (natural and non-US anthropogenic) except in urban areas Better understanding of this background is needed to interpret satellite NO2 tropospheric column data in terms of NOx emissions and their trends Comparisons of Pandora and satellite observations in non-urban areas may be able to separate boundary layer and free tropospheric contributions to the tropospheric NO2 column TEMPO should be able to effectively separate boundary layer and free tropospheric NO2 by cloud slicing

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