NO2 SO2
H2O BrO
OClO
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Disclaimer
This page is available only for
archiving reasons. Much more data and information is available on the pages for
individual products and on our
GOME-2 data browser
page.
Since Janauary 2007, first spectra from the GOME-2 instrument on MetOp are available
from EUMETSAT. Although the spectra are not yet fully calibrated and validated, they already can be used to demonstrate the
potential of the new instrument.
Compared to GOME, the main differences of GOME-2 are the improved spatial
resolution and the much better coverage.
Below, you will find some examples of GOME-2 nadir measurement analysed
with the DOAS algorithm. Please remember that these results are preliminary only
as they are based on not fully validated radiances and a quick and dirty analysis! They
should be taken as "proof of concept" rather than as an quantitative
data evaluation.
Tropospheric NO2 columns are derived using the same fitting window, reference
sector approach, cloud screening and airmass factors as for the GOME and
SCIAMACHY data. The map below shows the average over all data available for
March 2007. Please note that this is based on much less data than a monthly
average in nominal operation.
The overall pattern is very similar as in GOME and SCIAMACHY data,
highlighting industrialised regions and areas with intense biomass burning.
Also, the shipping lane between India and Indonesia can clearly be identified.

The SO2 retrieval on GOME-2 data is using the same settings as for GOME and
SCIAMACHY. Both large anthropogenic pollution sources e.g. over China ore from
the smelters in South America and volcanic emissions can be identified in the
monthly averages shown below. The airmass factor used is more appropriate for
large volcanic eruptions, leading to significant underestimation of the real SO2
columns in these figures.
The eruption of the Kasatochi volcano in Alaska emitted large amounts of SO2
into the atmosphere which can be tracked in GOME-2 measurements over many days:

  
 
In an early GOME-2 measurement in November 2006, a large SO2 plume was
detected over Africa which can be directly compared to the corresponding OMI
measurement taken several hours later (click on image for enlarged comparison).

Total water vapour columns are derived using the Air Mass Corrected (AMC-)DOAS
approach, which has already been applied successfully to
GOME and
SCIAMACHY data.
Compared to the GOME instrument, GOME-2 has a higher spatial resolution (80
km x 40 km, comparable to the SCIAMACHY resolution of typically 60 km x 30 km)
and a larger swath width of 1920 km, resulting in a daily coverage at mid and
high latitudes. The enhanced coverage of GOME-2 can be seen from the following
maps which show the derived GOME-2 (left) and SCIAMACHY (right) water vapour
columns for one day (26 March 2007).
 
An eye inspection of these swath data already reveals that the observed water
vapour structures agree quite well. This is confirmed by a more quantitative
analysis for which all data are spatially gridded to 0.5 deg x 0.5 deg and
compared. A scatter plot of all resulting collocated data points of GOME-2 and
SCIAMACHY for this day is shown in the Figure below.

Obviously, the agreement between the two data sets is quite good. However, this
is only a single day example for a comparison between GOME-2 and SCIAMACHY water
vapour columns. A more extensive statistical analysis will be performed when
more GOME-2 data are available.
For more information on GOME-2 water vapour please contact
Stefan
Noël.
BrO columns are retrieved using the settings developed for SCIAMACHY data
retrieval. The airmass factor used is appropriate for stratospheric BrO and
therefore boundary layer BrO over ice will be overestimated while over dark
surfaces it will be underestimated. No cloud screening is applied so far as this
is difficult over snow and ice.
The monthly average BrO map retrieved shows the spatial distribution and
absolute columns expected for this season with slightly higher than expected
values in mid-latitudes. This is currently under investigation.

The excellent spatial coverage at constant spatial resolution facilitates
tracking of the development and transport of BrO plumes in the Arctic boundary
layer, nicely demonstrating the life time and long range transport of these
events. This is shown in the animation below.

OClO columns are retrieved using the settings developed for GOME and
SCIAMACHY data retrieval. OClO is only present at twilight as it photolyses
rapidly. OClO is an indicator of chlorine activation and is only observed in the
activated polar vortex.
The monthly average OClO map retrieved is in good agreement with results from
SCIAMACHY but had to be manually corrected for an offset. The origin of this
offset and possible solutions are currently under investigation.

If
you are interested in more information on first GOME-2 DOAS results, please contact Andreas
Richter.
For more information on GOME-2 water vapour results
please contact
Stefan
Noël.
As the GOME-2 instrument is still in commissioning phase, please note the EUMETSAT disclaimer: "Users should note that the
early access to EPS data is provided by EUMETSAT on a best effort basis, without
full service commitment. Data delivered during commissioning are not considered
to be validated data. A full assessment of the quality of the calibration has
yet to be completed, so whilst the calibration data are believed to be
acceptable for this stage of commissioning EUMETSAT provides no guarantee of
quality"
More on the instrument and the mission can be found on
the
EUMETSAT GOME-2 pages and the
ESA GOME-2 pages.
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