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| Titel |
Assimilation of satellite-derived NO2 data into a chemical transport model |
| VerfasserIn |
Jeremy Silver, Jørgen Brandt, Martin Hvidberg, Jan Frydendall |
| Konferenz |
EGU General Assembly 2010
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 12 (2010) |
| Datensatznummer |
250039218
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| Zusammenfassung |
| The Danish Eulerian Hemispheric Model (DEHM) is a three-dimensional chemical transport
model that can simulate emission, transport, diffusion, chemistry and deposition
processes of air pollutant species in the atmosphere. A data assimilation (DA) module
was added to DEHM, to assimilate estimates of tropospheric NO2 concentrations.
The observations were obtained from the Ozone Monitoring Instrument (OMI)
aboard the NASA satellite Aura. The assimilation schemed was based on statistical
interpolation.
We conducted several experiments, modifying the parameterisation of the background
and observation error covariance matrices. Results from these experiments were compared
with an independent data set: ground-based measurements of NO2 and O3 from the European
Monitoring and Evaluation Programme.
Despite the simplicity of the DA scheme, it substantially improved the accuracy of
predicted ground-level concentrations compared to those calculated without DA.
Furthermore, after applying the DA module, temporal variation in NO2 concentrations was
more accurately modelled by DEHM. |
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