NO2 for air quality monitoring in Northern Europe shipping and landbased case studies Iolanda Ialongo FMI Hakkarainen J Jalkanen JP Johansson L Tamminen J FMI Boersma ID: 799364
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Slide1
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)
Slide2MotivationUse of satellite data for air quality at high latitude is poorer than at lower latitudesInterest 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
Slide3DataOMI tropospheric NO2 SP V2OMI data selected according to the wind direction and speed. Wind data from ECMWF reanalysis averaged below 950
hPa
.
STEAM ship emissions derived from AIS dataTime range: Summer 2005-2011Region: LAT 50-70°N LON 1-34°E (Northern Europe
)
OMI rows: 6:24
OMI STM – De
Bilt
, 11-13 March 2014
Slide4Metodology
: NO2 sources in Finland from OMI
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.
3. Subtracting the local background from the NO2 values, further enhances the NO2 signal.
2. Considering only weak wind conditions, helps in detecting the NO2 sources
1. High resolution NO2 maps can be derived using multiple pixels averaging techniques.
Slide5OMI
tropospheric
NO2: time series
All winds
(continuous lines)
Weak winds
(dashed lines)
OMI STM – De
Bilt
, 11-13 March 2014
Slide6Helsinki
OMI STM – De
Bilt
, 11-13 March 2014
The effect of different wind directions in the city of Helsinki
Slide7Calculation of life time and emission parameter
Helsinki
Life time:
τ
= (3.0 ± 0.5)
h
Emission (burden parameter):
E = (1.0 ± 0.1) 10^28
molec
Fitting linear density as
in
Beirle
et al. (2011)
OMI STM – De
Bilt
, 11-13 March 2014
Slide8The 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
Slide9OMI NO2
tropospheric
column
STEAM
NOx
emission
OMI NO2
NOx
emission
Jul-Aug averages within the black boxes
Both OMI NO2 and STEAM emissions show a decrease in 2009 (economical recession)
Comparison with ship emission data over Baltic Sea
OMI STM – De
Bilt
, 11-13 March 2014
Slide10Emission hotspots: case-studiesOMI STM – De Bilt, 11-13 March 2014
Slide11Gulf of Finland: OMI NO2
Slide12Gulf of Finland: OMI NO2 + STEAM
NOx
emissions
Slide13Detection of emission hotspot in Northern Europe
Pori port and city
center
OMI STM – De
Bilt
, 11-13 March 2014
Slide14Detection of emission hotspot in Northern Europe
Pori port and city
center
Overlap with STEAM ship emissions
OMI STM – De
Bilt
, 11-13 March 2014
Slide15Detection of emission hotspot in Northern Europe
Iron mines in Murmansk area
OMI STM – De
Bilt
, 11-13 March 2014
Slide16Detection of emission hotspot in Northern Europe
Iron mines in
Kostomuksha
OMI STM – De
Bilt
, 11-13 March 2014
Slide17Detection of emission hotspot in Northern Europe
Kemi
-Tornio area
OMI STM – De
Bilt
, 11-13 March 2014
Slide18ConclusionsOMI 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
Slide19OMI STM – De Bilt, 11-13 March 2014Thank 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.
Websitehttps://dl.dropboxusercontent.com/u/108873735/site/no2_web.html
Slide20Extra slidesOMI STM – De Bilt, 11-13 March 2014
Slide21OMI STM – De
Bilt
, 11-13 March 2014
Comparison with EMEP emission in Finland
maps
Slide22OMI STM – De Bilt, 11-13 March 2014EMEP emission by sector
TOTAL
Slide23OMI STM – De Bilt, 11-13 March 2014Comparison with EMEP emission in Finland
pixel-by-pixel comparison
Slide24OMI STM – De
Bilt
, 11-13 March 2014
Comparison with EMEP emission in Finland
timeseries
Slide25OMI STM – De Bilt, 11-13 March 2014Comparison with EMEP emission in Finland
timeseries
G_roadrail
A_PublicPower
B_IndustrialComb
Slide26OMI STM – De Bilt, 11-13 March 2014Other google maps data
Large point source (EMEP)
Slide27OMI STM – De Bilt, 11-13 March 2014Other google earth data
Mines
MINING ATLAS