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Empa OMI NO2 (EOMINO) product for Europe
Building on KNMI's DOMINO product, Empa has developed a new OMI NO2 data set for Europe
which uses high temporal and spatial resolution MODIS surface reflectance data
taking into account anisotropic surface reflectance
(BRDF) effects (Zhou et al. 2010).
Further changes include a better treatment of surface elevation (Zhou et al. 2009) and the online
computation of box airmass factors with
LIDORT instead of using a pre-computed lookup table.
Other aspects are identical to the DOMINO product of KNMI (Boersma et al. 2007). These include
the tropospheric slant columns, the a priori NO2 profiles from the TM4 model, and the cloud retrieval.
Cloud fractions and cloud pressures, however, have been recomputed with the new surface reflectance data.
No attempt has been made yet to correct for the striping apparent in the OMI slant columns.
In addition to this new product this website also provides access to GOME, SCIAMACHY and OMI-DOMINO
data over the Alpine domain in an easy-to-use gridded ASCII format. For the early years auxiliary
information e.g. from trajectory analysis is provided, but these products have been discontinued after
Boersma, K.F., H.J. Eskes, J.P. Veefkind, E.J. Brinksma, R.J. van der A, M. Sneep,
G.H.J. van den Oord, P.F. Levelt, P. Stammes, J.F. Gleason, and E.J. Bucsela, Near-real
time retrieval of tropospheric NO2 from OMI.
Atmos. Chem. Phys., 7, 2103-2118, 2007.
Zhou, Y., D. Brunner, K. F. Boersma, R. Dirksen, and P. Wang, An improved tropospheric
NO2 retrieval for OMI observations in the vicinity of mountaineous terrain.
Atmos. Meas. Tech., 2, 401-416, 2009.
Zhou, Y., D. Brunner, R. J. D. Spurr, K. F. Boersma, M. Sneep, C. Popp and B. Buchmann,
Accounting for surface reflectance anisotropy in satellite retrievals of tropospheric NO2.
Atmos. Meas. Tech., 3, 1185-1203, 2010.
Access to regional nitrogen dioxide (NO2) data for the following instruments:
New Empa OMI product (EOMINO)
ascii data from GOME and SCIAMACHY are provided together with
trajectory analyses and auxiliary
information (e.g., Meteo-wind and cloud fields, lightning,
DOAS measurements) to facilitate user applications.
Below, a detailed description is given for the following products:
Click here to see some case studies
demonstrating the use of the information provided through this website.
Nitrogen dioxide from satellite for air quality purposes
NOx is an air pollutant harmful to humans and ecosystems and plays a key role in
tropospheric photochemistry as a precursor of ozone and by regulating the abundance of
the OH radical. NOx, which is the sum of nitric oxide (NO) and nitrogen dioxide (NO2), is
primarily emitted in the form of NO. Oxidation by ozone quickly forms NO2 which is converted
back to NO by photolytic decay. A photochemical equilibrium between NO and NO2 is
reached within minutes. At some distance from the immediate source, the bulk of planetary
boundary layer NOx is constituted of NO2.
Good knowledge of the spatial distribution of NO2 is important for assessing the air quality
over a given domain. Thereby, not only mean concentrations but also peak loads are relevant
and therefore air quality limits have been defined in Europe for both.
The satellite NO2 observations used here consist of total tropospheric vertical column amounts.
For a proper interpretation of these observations it is important to consider the specific
meteorological conditions under which they were sampled.
To simplify access to satellite NO2 observations and to support a user in analyzing and
interpreting the data we have established a “Regional NO2 product”
restricted to the domain of the Alps and the Po Valley with the following components:
The detailed modelling of transport based on numerical weather prediction wind fields
requires a large amount of computing time and storage. It is therefore provided here
only for the European region. In principle, the method can be applied globally.
- For each day, a taylored image of the satellite pixels is generated showing the
NO2 distribution over the region of interest (Alps and Po Valley)
- The original satellite NO2 data in HDF format is edited to a user-friendly format
(ASCII) and aggregated into a regular latitude-longitude grid. Auxiliary meteorological
information is addes as well as a quality flag based on the cloud parameters.
- A potential source region is provided for each particular case of observed NO2 based
on Lagrangian transport modelling (trajectory calculations).
Fig. 1: Example showing the taylored NO2 picture and the assessment of the potential source
regions (for air at 900 hPa) for 16 April 1997.
Trajectory calculation and source region visualisation for GOME/SCIAMACHY NO2 columns
For selected satellite pixels (fullfilling certain criteria as specified below) trajectories
are calculated backward in from different locations and different altitudes
within the pixel. Based on these trajectories, the potential source regions of the observed
NO2 is assessed by analyzing the distribution of ground contact experienced by the
air masses started from the different sublayers of the satellite column during the
Backward trajectory calculation
Backward trajectories are calculated for every high-quality GOME/SCIAMACHY column in
the region of interest (alpine area from 5°E to 14°E and 44°N to 49°N).
The columns are defined to be of high quality if one of the following criteria is fulfilled:
Because of the complicated interpretation of measurements for intermediate cloud cover,
i.e. more than about 10-15% cloud fraction (decision criterion fltrop=-1)
or less than 75% cloud fraction (clfrac≤0.75), these cases were excluded.
- The flag “fltrop” in the KNMI data has to indicate a meaningful
tropospheric retrieval (fltrop=0; clear sky case), or
- The cloud fraction from FRESCO (“clfrac” in the KNMI data) exceeds a
critical value of 0.75 (overcast case).
As the NO2 distribution within the GOME/SCIAMACHY columns is unknown,
the backward trajectory arrival points cover the columns both horizontally
and vertically to account for the whole tropospheric volume (Tab. 1).
In the vertical, 11 height levels between 950 hPa and 450 hPa in 50 hPa steps
are used. This vertical resolution allows distinguishing cases
where boundary layer air has been transported into the middle troposphere
from cases where no such transport has occurred and therefore NO2 remained at
low altitudes. Air above 450 hPa is not covered by the trajectory analysis
because NO2 at these levels usually only contribute a very small amount to the column.
NO2 production by lightning may produce measurable amounts in the upper troposphere,
though. To check for this possibility reference to lightning archives such as
is suggested. Corresponding links are provided along with our data.
The trajectories are calculated with analysed wind fields with a six
hour temporal and 1° x 1° geographical resolution provided by the
model of the European Centre for Medium-Range Weather Forecast (ECMWF).
Three dimensional kinematic 4-day backward trajectories are calculated with
the software package “Lagranto” (Wernli and Davies, 1997). The arrival time
point is chosen to be on 9:00 UTC in all cases.
Deriving potential source regions
Potential source region maps are derived for each trajectory arrival level.
Trajectory positions are plotted in a horizontal projection at 4-hour time intervals.
The points are coloured according to their distance from the Earth surface in order
to provide a measure for the potential contribution of NO2 sources at each point.
Red is used for trajectory points closest to the ground (distance < 50 hPa),
green for a distances of 50-100 hPa, and blue for distances of 100-150 hPa.
Points with a larger distance from the ground are not shown.
As the first arrival height of the trajectories (950 hPa) is almost always located in the
planetary boundary layer only the trajectories between 900 hPa and 450 hPa are investigated
for their ground contact.
Due to their large size, the trajectory files are not available online but they
can be ordered from EMPA. Only images of potential source regions are provided here.
Schaub et al., "Comparison of GOME tropospheric
NO2 columns with NO2 profiles deduced from ground-based in situ measurements", ACP, 2006