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Carbon monoxide (CO)
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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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23 January 2004
Product services of TEMIS: Contents of this page:
- NOTE:
-
the data product Carbon monoxide has been removed
from the TEMIS project.
Carbon monoxide
Carbon monoxide, CO, is precursor gas for greenhouse gas number one, carbon dioxide (CO2), and it forms a key compound in tropospheric chemistry with a lifetime in order of months. Carbon monoxide has large influence on methane oxidation as part of the methane increase is related to increases in CO. Estimates of carbon monoxide sources (e.g. fossil fuels and biomass burning) show large uncertainties and variability.
Carbon monoxide is going to be a new product: it will be derived from
SCIAMACHY
near-infrared channels. What will be delivered are total carbon monoxide
columns with an anticipated accuracy of about 10%. As the example below
shows, the variability due to the uncertainties in the emissions is a
10-20%, and so detection of emissions is perhaps possible.
Model example
The following graph shows the result of an explicit modelling of carbon monoxide emissions for June 1997 in Dobson Units (DU). Note that the step between the contours 10 DU or about 10%.
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 (in reality the variability of the
emissions could even be larger). The following graphs shows the
difference after 10 days between the carbon monoxide columns of these
two model runs. Note that the scale runs up to 20 DU or 10% of the total
carbon monoxide column as showns in the picture above. In other words, the
variability in the carbon monoxide column due to uncertainties in the
emissions is around 10%. (The rather high values above Central Afrika, South
America and Asia are due to biomass burning events.)
