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Methane (CH4)
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Tropospheric
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monitoring |
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NO2
- global - central Europe CH2O - global CO - global |
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UV
- UV index - UV dose |
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related gases |
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Ozone
- total column - global field - ozone bulletin - ozone profiles BrO - global field |
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Aerosol
- AOD - aerosol index Methane - global Clouds - cloud info |
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emissions |
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Volcanic plume
- SO2 & AAI |
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Methane is going to be a new product: it will be derived from SCIAMACHY near-infrared channels. What will be delivered are total methane columns with an anticipated accuracy of about 1%. As the example below shows, the variability due to the uncertainties in the emissions is a 1-2%, and so detection of emissions is perhaps possible.
Problematic is that there are large uncertainties in the estimates of
methane sources (e.g. fossil fuels, cattle, rice agriculture,
landfills, wetlands) and that methane is a well-mixed gas in the
troposphere.
Another aspect is that the methane column value varies with the
surface pressure (i.e. with the local surface height),
which has to be corrected for to be able to compare column values.
The chemistry-transport model that produced the above image was run for 10
days, with the approriate meteorological information. And the same was done
with a 50% increase in the emissions (a reasonable estimate of the
variability of the emissions). The following graphs shows the difference
after 10 days between the methane columns of these two model runs. Note
that the scale runs up to 20 DU or 1% of the total methane column as showns
in the picture above. In other words, the variability in the methane column
due to uncertainties in the methane emissions is around 1%. (The moderately
high values above Central Afrika and South America are due to biomass
burning events.)
Some 10-20% of the methane column is in the stratosphere and its variability
is a few percent, as the following graph shows.