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Iolanda Ialongo (FMI) Hakkarainen , J. Jalkanen , J.-P., Johansson, L., Tamminen , J. (FMI)

Application of OMI tropospheric NO2 for air quality monitoring in Northern Europe: shipping and land-based case studies. Iolanda Ialongo (FMI) Hakkarainen , J. Jalkanen , J.-P., Johansson, L., Tamminen , J. (FMI) Boersma , F. (KNMI) Krotkov , N. (NASA). Motivation.

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Iolanda Ialongo (FMI) Hakkarainen , J. Jalkanen , J.-P., Johansson, L., Tamminen , J. (FMI)

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  1. Application of OMI tropospheric NO2 for air quality monitoring in Northern Europe: shipping and land-based case studies Iolanda Ialongo (FMI) Hakkarainen, J. Jalkanen, J.-P., Johansson, L., Tamminen, J. (FMI) Boersma, F. (KNMI) Krotkov, N. (NASA)

  2. Motivation • Use of satellite data for air quality at high latitude is poorer than at lower latitudes • Interest in evaluating OMI applicability in critical situations (i.e. low solar angle, no illumination, signal close to the detection limit) • New emission regulation upcoming for shipping in Baltic Sea • ESA IAP-FS SAMBA: SAtellite Monitoring of ship emissions in the Baltic seA OMI STM – De Bilt, 11-13 March 2014

  3. Data • OMI tropospheric NO2 SP V2 • OMI data selected according to the wind direction and speed. Wind data from ECMWF reanalysis averaged below 950 hPa. • STEAM ship emissions derived from AIS data Time range: Summer 2005-2011 Region: LAT 50-70°N LON 1-34°E (Northern Europe) OMI rows: 6:24 OMI STM – De Bilt, 11-13 March 2014

  4. Metodology: NO2 sources in Finland from OMI 1. High resolution NO2 maps can be derived using multiple pixels averaging techniques. 2. Considering only weak wind conditions, helps in detecting the NO2 sources 3. Subtracting the local background from the NO2 values, further enhances the NO2 signal. Shipping lane The main cities are marked by their initial Some information can be lost removing the background Red pixels indicate NO2 levels higher than the local background.

  5. OMI tropospheric NO2: time series All winds (continuous lines) Weak winds (dashed lines) OMI STM – De Bilt, 11-13 March 2014

  6. The effect of different wind directions in the city of Helsinki Helsinki OMI STM – De Bilt, 11-13 March 2014

  7. Calculation of life time and emission parameter Fitting linear density as in Beirle et al. (2011) Helsinki Life time: τ = (3.0 ± 0.5) h Emission (burden parameter): E = (1.0 ± 0.1) 10^28 molec OMI STM – De Bilt, 11-13 March 2014

  8. The effect of different wind directions in central Baltic Sea all winds weak winds westerlies High NO2 signal along East-West direction OMI STM – De Bilt, 11-13 March 2014

  9. Comparison with ship emission data over Baltic Sea STEAM NOx emission OMI NO2 NOx emission OMI NO2 tropospheric column Both OMI NO2 and STEAM emissions show a decrease in 2009 (economical recession) Jul-Aug averages within the black boxes OMI STM – De Bilt, 11-13 March 2014

  10. Emission hotspots: case-studies OMI STM – De Bilt, 11-13 March 2014

  11. Gulf of Finland: OMI NO2

  12. Gulf of Finland: OMI NO2 + STEAM NOx emissions

  13. Detection of emission hotspot in Northern Europe Pori port and city center OMI STM – De Bilt, 11-13 March 2014

  14. Detection of emission hotspot in Northern Europe Pori port and city center Overlap with STEAM ship emissions OMI STM – De Bilt, 11-13 March 2014

  15. Detection of emission hotspot in Northern Europe Iron mines in Murmansk area OMI STM – De Bilt, 11-13 March 2014

  16. Detection of emission hotspot in Northern Europe Iron mines in Kostomuksha OMI STM – De Bilt, 11-13 March 2014

  17. Detection of emission hotspot in Northern Europe Kemi-Tornio area OMI STM – De Bilt, 11-13 March 2014

  18. Conclusions • OMI tropospheric NO2 shows sensitivity to small emission sources at high latitudes • Time series of OMI data and ship emissions from STEAM model are in good agreement • OMI data are able to reproduce the variability of the economy activity in terms of reduced ship traffic in the Baltic Sea area • Future applications includes the comparison with land-based emission dataset OMI STM – De Bilt, 11-13 March 2014

  19. Thank you Reference Ialongo, I., Hakkarainen, J., Hyttinen, N., Jalkanen, J.-P., Johansson, L., Boersma, F., Krotkov, N., and Tamminen, J.: Characterization of OMI tropospheric NO2 over the Baltic Sea region, Atmos. Chem. Phys. Discuss., 14, 2021-2042, doi:10.5194/acpd-14-2021-2014, 2014. Website https://dl.dropboxusercontent.com/u/108873735/site/no2_web.html OMI STM – De Bilt, 11-13 March 2014

  20. Extra slides OMI STM – De Bilt, 11-13 March 2014

  21. Comparison with EMEP emission in Finland maps OMI STM – De Bilt, 11-13 March 2014

  22. TOTAL EMEP emission by sector OMI STM – De Bilt, 11-13 March 2014

  23. Comparison with EMEP emission in Finland pixel-by-pixel comparison OMI STM – De Bilt, 11-13 March 2014

  24. Comparison with EMEP emission in Finland timeseries OMI STM – De Bilt, 11-13 March 2014

  25. Comparison with EMEP emission in Finland timeseries G_roadrail A_PublicPower B_IndustrialComb OMI STM – De Bilt, 11-13 March 2014

  26. Other google maps data Large point source (EMEP) OMI STM – De Bilt, 11-13 March 2014

  27. Other google earth data Mines MINING ATLAS OMI STM – De Bilt, 11-13 March 2014

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